WEBVTT - Bloomberg Businessweek Weekend - July 28th, 2023

0:00:01.360 --> 0:00:05.720
<v Speaker 1>This is Bloomberg business Week Inside from the reporters and

0:00:05.880 --> 0:00:09.440
<v Speaker 1>editors who bring you America's most trusted business magazine, plus

0:00:09.520 --> 0:00:13.680
<v Speaker 1>global business finance and tech news. The Bloomberg Business Week

0:00:13.720 --> 0:00:19.000
<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

0:00:19.800 --> 0:00:22.720
<v Speaker 2>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast.

0:00:23.000 --> 0:00:25.439
<v Speaker 2>It was a busy summer week that included another FED

0:00:25.520 --> 0:00:28.639
<v Speaker 2>rate hike, a regional bank takeover, a historic run of

0:00:28.680 --> 0:00:31.200
<v Speaker 2>gains for the Dow, and a batch of earnings from

0:00:31.320 --> 0:00:35.479
<v Speaker 2>megacaps you know, Microsoft, Alphabet and Meta, and the subject

0:00:35.479 --> 0:00:37.800
<v Speaker 2>of AI and the cloud came up in those reports,

0:00:38.120 --> 0:00:40.800
<v Speaker 2>and on that in the magazine, a story about big

0:00:40.880 --> 0:00:44.440
<v Speaker 2>data centers and their use of a very precious commodity.

0:00:44.840 --> 0:00:47.160
<v Speaker 2>That story coming right up. And speaking of the big

0:00:47.200 --> 0:00:50.360
<v Speaker 2>tech companies, Amazon reports this coming week, and a range

0:00:50.360 --> 0:00:52.800
<v Speaker 2>of topics may come up on the call, including what

0:00:53.159 --> 0:00:56.320
<v Speaker 2>might be the most intrusive scrutiny in the company's history.

0:00:56.800 --> 0:00:59.320
<v Speaker 2>Plus we'll talk with the CEO of Mattel on earnings,

0:00:59.320 --> 0:01:01.960
<v Speaker 2>a key figure leaving the c suite, and whether that

0:01:02.080 --> 0:01:05.840
<v Speaker 2>Hollywood labor dispute is hurting the toy maker's film ambitions

0:01:06.000 --> 0:01:08.880
<v Speaker 2>even as Barbie keeps breaking it in at the box office.

0:01:09.080 --> 0:01:11.040
<v Speaker 2>All of that to come, We begin with a lesson

0:01:11.120 --> 0:01:14.360
<v Speaker 2>in behavioral economics from one of the pioneers in the field.

0:01:14.680 --> 0:01:17.520
<v Speaker 2>Peter Atwater is an adjunct professor of economics at William

0:01:17.520 --> 0:01:20.800
<v Speaker 2>and Mary. He coined the term CA shaped recovery. He's

0:01:20.840 --> 0:01:23.919
<v Speaker 2>here to help us navigate these unusual economic and market

0:01:23.959 --> 0:01:27.200
<v Speaker 2>times with his new book, The Confidence Map, Charting a

0:01:27.240 --> 0:01:30.280
<v Speaker 2>Path from Chaos to Clarity. We began by asking for

0:01:30.319 --> 0:01:33.400
<v Speaker 2>his reaction to the latest round of US monetary policy

0:01:33.400 --> 0:01:37.000
<v Speaker 2>tightening from j Powell and the FED this past Wednesday. Tim,

0:01:37.040 --> 0:01:39.319
<v Speaker 2>no doubt about it. We're living in interesting economic and

0:01:39.360 --> 0:01:42.920
<v Speaker 2>market times. We're coming off a pandemic unprecedented, and we're

0:01:42.920 --> 0:01:46.600
<v Speaker 2>going to talk about that word, unprecedented. Stimulus and easing

0:01:46.640 --> 0:01:48.720
<v Speaker 2>to ensure the function of the financial system and really

0:01:48.960 --> 0:01:51.680
<v Speaker 2>to help protect the livelihoods of many. The end result

0:01:52.160 --> 0:01:55.000
<v Speaker 2>an economy that stopped short then was revved up again

0:01:55.320 --> 0:01:58.320
<v Speaker 2>big time. But we got persistent inflation which has come

0:01:58.400 --> 0:02:01.840
<v Speaker 2>down less. It was an interesting time. It was the

0:02:01.840 --> 0:02:05.160
<v Speaker 2>backdrop certainly for the FED the last couple of years,

0:02:05.240 --> 0:02:07.240
<v Speaker 2>but it's a recovery too. That wasn't felt by all,

0:02:07.320 --> 0:02:09.600
<v Speaker 2>and that was something that was coined the Case Shaped

0:02:09.639 --> 0:02:11.320
<v Speaker 2>Recovery by our next guest.

0:02:11.520 --> 0:02:13.399
<v Speaker 3>And so with all of that going on and more,

0:02:13.440 --> 0:02:14.960
<v Speaker 3>we are so delighted to have with us in our

0:02:14.960 --> 0:02:18.640
<v Speaker 3>Bloomberg Interactive Broker's studio Peter Atwater. He's Adjunct Professor of

0:02:18.639 --> 0:02:21.400
<v Speaker 3>Economics at William and Mary. He's a former banker and

0:02:21.440 --> 0:02:24.120
<v Speaker 3>someone who spent many years in financial services and in

0:02:24.160 --> 0:02:27.560
<v Speaker 3>the securitization of assets. He's been a financial consultant, and

0:02:27.600 --> 0:02:29.720
<v Speaker 3>he's also got a way forward for all of us

0:02:29.720 --> 0:02:32.040
<v Speaker 3>thanks to his brand new book out brand new book.

0:02:32.080 --> 0:02:34.200
<v Speaker 3>It came out this week. It's called The Confidence Map,

0:02:34.560 --> 0:02:37.480
<v Speaker 3>Charting a Path from Chaos to Clarity. It's a book

0:02:37.480 --> 0:02:39.919
<v Speaker 3>that our very own Mike Reagan says is a great

0:02:40.120 --> 0:02:41.000
<v Speaker 3>beach read.

0:02:40.880 --> 0:02:42.000
<v Speaker 2>Which is a big endorsement.

0:02:43.560 --> 0:02:44.119
<v Speaker 1>Welcome Peter.

0:02:44.160 --> 0:02:46.040
<v Speaker 3>It's good to have you in the studio and congratulations

0:02:46.040 --> 0:02:46.399
<v Speaker 3>on the book.

0:02:46.480 --> 0:02:47.680
<v Speaker 4>Thanks so much, Tim and Carol.

0:02:47.720 --> 0:02:48.320
<v Speaker 5>Great to be here.

0:02:48.360 --> 0:02:50.080
<v Speaker 2>Well, it's so great to have you here. First up,

0:02:50.120 --> 0:02:52.040
<v Speaker 2>we would be remiss if we didn't ask you about

0:02:52.040 --> 0:02:53.840
<v Speaker 2>the FED meeting and what you make of it, Anything

0:02:53.919 --> 0:02:57.280
<v Speaker 2>unusual or telling, especially as you think about your book.

0:02:58.040 --> 0:03:00.960
<v Speaker 4>Yeah, it was the lack of unusual to day. This

0:03:01.160 --> 0:03:03.600
<v Speaker 4>was like a dive that hit the water and there

0:03:03.680 --> 0:03:07.959
<v Speaker 4>was no splash. You know, Normally after a FED announcement

0:03:08.320 --> 0:03:12.799
<v Speaker 4>there's a lot of battling in social media and different takes.

0:03:13.000 --> 0:03:14.239
<v Speaker 4>There were no takes today.

0:03:14.320 --> 0:03:15.200
<v Speaker 2>It was kind of boring.

0:03:15.880 --> 0:03:20.320
<v Speaker 4>It was beyond boring. This was nothing about nothing today.

0:03:21.000 --> 0:03:24.760
<v Speaker 4>And it's been interesting because in the last couple of weeks,

0:03:25.000 --> 0:03:29.720
<v Speaker 4>we've seen investors take everything off the worry list, and

0:03:29.760 --> 0:03:32.720
<v Speaker 4>I think this came off the worry list too. There

0:03:33.080 --> 0:03:35.800
<v Speaker 4>is a sense that everything is going to be okay.

0:03:35.840 --> 0:03:38.800
<v Speaker 4>We're not worried about a recession. Inflation looks like it's

0:03:38.840 --> 0:03:40.840
<v Speaker 4>going to keep coming down or is coming down to

0:03:40.880 --> 0:03:44.840
<v Speaker 4>a reasonable level. And if I have a take from today,

0:03:45.480 --> 0:03:49.360
<v Speaker 4>it's this sense of where's the shoe that's going to

0:03:49.480 --> 0:03:50.040
<v Speaker 4>drop next.

0:03:50.120 --> 0:03:53.120
<v Speaker 3>Yeah, it's sort of like a complacency. And I think

0:03:53.120 --> 0:03:56.000
<v Speaker 3>it was Tom Keen who was asking Diane Swank about

0:03:56.200 --> 0:03:59.760
<v Speaker 3>parallels to what we saw before the Nasdaq crash in

0:03:59.760 --> 0:04:00.920
<v Speaker 3>there two thousands.

0:04:01.120 --> 0:04:04.440
<v Speaker 4>Yeah, this is what's been interesting on the NASTAC front

0:04:04.480 --> 0:04:09.320
<v Speaker 4>is we've seen investors racing into all these abstract stocks

0:04:10.040 --> 0:04:14.040
<v Speaker 4>two years ago the SPACs, and that that NFT Mania

0:04:14.080 --> 0:04:21.080
<v Speaker 4>this year they're charging into the stalwarts, the thoroughbreds that

0:04:21.120 --> 0:04:25.000
<v Speaker 4>are well tested, you know, Apple, that the Magnificent Seven,

0:04:25.560 --> 0:04:28.640
<v Speaker 4>and that to me is an indicator that we're not

0:04:28.839 --> 0:04:32.720
<v Speaker 4>as risk taking as we were a couple of years ago.

0:04:33.080 --> 0:04:36.479
<v Speaker 4>That we're looking for certainty in the companies that we're

0:04:36.520 --> 0:04:40.800
<v Speaker 4>investing in and too much possibility scares us.

0:04:41.279 --> 0:04:43.800
<v Speaker 2>Take us to the confidence quadrant, then, all right, this

0:04:43.880 --> 0:04:46.559
<v Speaker 2>is your book and explain this because there's stress center

0:04:46.640 --> 0:04:49.479
<v Speaker 2>versus comfort zone, passenger seat versus launch pan. But I

0:04:49.560 --> 0:04:52.200
<v Speaker 2>love this and you, as you write, can kind of

0:04:52.200 --> 0:04:54.600
<v Speaker 2>apply to anything and everything. So take us to is

0:04:54.800 --> 0:04:56.720
<v Speaker 2>should we be in the stress center a comfort zone

0:04:56.760 --> 0:04:59.520
<v Speaker 2>right now? Because it does feel like there's so much

0:04:59.720 --> 0:05:02.440
<v Speaker 2>grow both in terms of optimism, whether it's S and

0:05:02.480 --> 0:05:05.600
<v Speaker 2>P strategists or economistsying a recession to help us out.

0:05:05.880 --> 0:05:08.359
<v Speaker 4>Yes, So for the benefit of your listeners, this is

0:05:08.400 --> 0:05:10.640
<v Speaker 4>a book that looks at the impact of certainty and

0:05:10.680 --> 0:05:13.960
<v Speaker 4>control and the choices we make because we use the

0:05:14.000 --> 0:05:15.680
<v Speaker 4>word confidence all the time and we don't know what

0:05:15.720 --> 0:05:18.200
<v Speaker 4>it means. And so what I tried to do is

0:05:18.240 --> 0:05:21.080
<v Speaker 4>to really dig into it. And those two things are

0:05:21.120 --> 0:05:23.839
<v Speaker 4>really important. I need to know what's coming and I

0:05:23.960 --> 0:05:26.080
<v Speaker 4>need to feel like I'm prepared for that. That's what

0:05:26.279 --> 0:05:29.480
<v Speaker 4>creates confidence. And I would say that if I.

0:05:29.440 --> 0:05:31.240
<v Speaker 2>Look at it, so does not elon musk confidence.

0:05:31.720 --> 0:05:35.080
<v Speaker 4>No, that's confidence theater. That's that's and that's you know,

0:05:35.279 --> 0:05:37.159
<v Speaker 4>and we see a lot of that, and maybe too

0:05:37.240 --> 0:05:39.000
<v Speaker 4>much of it, And I worry that a lot of

0:05:39.040 --> 0:05:41.159
<v Speaker 4>people think that that's what you need to be confidence.

0:05:41.160 --> 0:05:43.640
<v Speaker 4>It's like no, no, no, that's an act. That's a show

0:05:43.720 --> 0:05:44.680
<v Speaker 4>that people put on.

0:05:44.720 --> 0:05:48.680
<v Speaker 3>Really well, So can you explain the framework that you

0:05:48.760 --> 0:05:51.760
<v Speaker 3>developed here and what to do if you find yourself

0:05:52.440 --> 0:05:53.800
<v Speaker 3>basically in the wrong quadrant?

0:05:54.000 --> 0:05:54.279
<v Speaker 6>Yeah.

0:05:54.320 --> 0:05:59.200
<v Speaker 4>So the framework takes confidence or takes certainty and control

0:05:59.360 --> 0:06:01.840
<v Speaker 4>and puts them on two oxes. It's a simple four

0:06:02.240 --> 0:06:07.239
<v Speaker 4>box chart, and none of them is inherently good or bad,

0:06:07.760 --> 0:06:10.920
<v Speaker 4>but they but we feel very different in them. And

0:06:11.000 --> 0:06:13.760
<v Speaker 4>I would say today most investors feel like they're in

0:06:13.800 --> 0:06:16.680
<v Speaker 4>the comfort zone. Things feel easy. It's like they've been

0:06:16.760 --> 0:06:19.640
<v Speaker 4>they're driving on a clear highway on a clear day.

0:06:19.760 --> 0:06:23.680
<v Speaker 4>And that's both good and bad. Because the more confident

0:06:23.720 --> 0:06:25.839
<v Speaker 4>we are, the less we think, the less we pay attention.

0:06:26.520 --> 0:06:28.720
<v Speaker 4>And so that's a big risk, and we also take

0:06:28.800 --> 0:06:32.920
<v Speaker 4>more risk than we should, and that's that's the potential

0:06:33.960 --> 0:06:37.440
<v Speaker 4>consequence that we need to consider. But I also then

0:06:37.480 --> 0:06:39.719
<v Speaker 4>look at the consumer, and there are a lot of

0:06:39.720 --> 0:06:42.760
<v Speaker 4>consumers in the stress centry today, particularly those who are

0:06:42.760 --> 0:06:45.560
<v Speaker 4>trying to buy a house, are buying a car, because

0:06:45.800 --> 0:06:49.360
<v Speaker 4>interest rates have been very punitive to those at the bottom.

0:06:50.040 --> 0:06:52.280
<v Speaker 4>Those at the top, it's been wonderful. Cash is now

0:06:52.360 --> 0:06:56.400
<v Speaker 4>earning four percent, five percent, But for those at the bottom,

0:06:56.720 --> 0:07:00.640
<v Speaker 4>there's been a real, a real headwind. That's that's come

0:07:00.680 --> 0:07:04.400
<v Speaker 4>about because they're on a payment they paid by month,

0:07:05.240 --> 0:07:09.240
<v Speaker 4>and these heights and interest rates have made their lives

0:07:09.320 --> 0:07:10.320
<v Speaker 4>far more expensive.

0:07:10.880 --> 0:07:13.200
<v Speaker 2>So why is it important though to understand kind of

0:07:13.280 --> 0:07:17.240
<v Speaker 2>where you are, whether you're too complacent or you're comfortable,

0:07:17.760 --> 0:07:19.840
<v Speaker 2>or whether you're stressed out? Like why is it important?

0:07:19.840 --> 0:07:22.320
<v Speaker 2>And I think about you know, when you think about stress,

0:07:22.360 --> 0:07:24.960
<v Speaker 2>we've been there a lot, as in a market environment,

0:07:25.080 --> 0:07:27.840
<v Speaker 2>in an economic environment where it's the pandemic nine to eleven,

0:07:28.720 --> 0:07:30.400
<v Speaker 2>the Great financial crisis.

0:07:30.040 --> 0:07:33.000
<v Speaker 4>Right like help me out here, Yeah, So we forget that.

0:07:33.280 --> 0:07:36.720
<v Speaker 4>Real life moves us around, so we can be in

0:07:36.760 --> 0:07:39.440
<v Speaker 4>the stress center in one moment and then be in

0:07:39.480 --> 0:07:42.480
<v Speaker 4>the comfort zone the next but we forget that when

0:07:42.480 --> 0:07:44.560
<v Speaker 4>we're in the stress center. If you go back to

0:07:44.600 --> 0:07:48.720
<v Speaker 4>the COVID, we were catastrophizing that the end of the

0:07:48.720 --> 0:07:52.840
<v Speaker 4>world was here, and we forget that as we're moving

0:07:52.880 --> 0:07:57.240
<v Speaker 4>into the stress center and panics occurring. Panic is almost

0:07:57.240 --> 0:07:59.600
<v Speaker 4>God's way of telling us the worst is behind us,

0:08:00.360 --> 0:08:03.320
<v Speaker 4>and certainly that's proven over and over in the markets,

0:08:03.760 --> 0:08:07.520
<v Speaker 4>but we fall victim to it, and we respond impulsively

0:08:07.560 --> 0:08:11.760
<v Speaker 4>and emotionally, rather than stepping back to say, oh, panic

0:08:11.880 --> 0:08:16.200
<v Speaker 4>means we're nearing a low in confidence, and rather than

0:08:16.600 --> 0:08:18.880
<v Speaker 4>throwing the baby out with the bath water, we should

0:08:18.880 --> 0:08:21.840
<v Speaker 4>be preparing for what's coming next, because it's going to

0:08:21.920 --> 0:08:22.880
<v Speaker 4>surprise everybody.

0:08:24.160 --> 0:08:25.480
<v Speaker 3>So how do we do that right now in the

0:08:25.520 --> 0:08:28.160
<v Speaker 3>context of this run up that we've seen in the markets?

0:08:28.440 --> 0:08:30.640
<v Speaker 3>How does an investor use these tools?

0:08:30.920 --> 0:08:33.840
<v Speaker 4>I think investors need to look and see that our

0:08:33.920 --> 0:08:38.720
<v Speaker 4>preferences have changed. We're getting more conservative behind the scenes,

0:08:38.800 --> 0:08:42.000
<v Speaker 4>even though the indices are moving to record highs. So

0:08:42.040 --> 0:08:44.959
<v Speaker 4>you want to recognize that while we're in the comfort zone,

0:08:45.040 --> 0:08:51.400
<v Speaker 4>we're nowhere near as craving possibility and abstraction as we

0:08:51.400 --> 0:08:56.200
<v Speaker 4>were two years ago. And also appreciate that there's an

0:08:56.440 --> 0:09:01.959
<v Speaker 4>enormous disconnect between market confidence today and main street confidence,

0:09:02.600 --> 0:09:06.240
<v Speaker 4>and with wealth so concentrated in so few hands, that

0:09:06.600 --> 0:09:11.040
<v Speaker 4>tension will certainly play out if the economy turns down.

0:09:11.320 --> 0:09:14.679
<v Speaker 4>You know, I always think if we're in the comfort zone,

0:09:14.800 --> 0:09:20.040
<v Speaker 4>we don't anticipate a recession, and that becomes really dangerous

0:09:20.120 --> 0:09:22.880
<v Speaker 4>when we all think that moment has passed.

0:09:22.920 --> 0:09:24.280
<v Speaker 2>Well, it's so interesting that you say that, because I

0:09:24.280 --> 0:09:26.440
<v Speaker 2>think about how much we talk about consumer sentiment, our

0:09:26.480 --> 0:09:29.880
<v Speaker 2>consumer confidence, our business sentiment and business confidence. Right, these

0:09:29.920 --> 0:09:33.680
<v Speaker 2>things can certainly shape our actions and certainly as investors

0:09:33.679 --> 0:09:36.400
<v Speaker 2>are expectations of kind of where assets should go.

0:09:36.640 --> 0:09:40.280
<v Speaker 4>Yeah, they how we think out, how we feel shapes

0:09:40.320 --> 0:09:43.800
<v Speaker 4>our actions also shapes the stories we tell, and so

0:09:44.160 --> 0:09:47.680
<v Speaker 4>the narrative, the narrative, The narrative is simply a reflection

0:09:47.800 --> 0:09:51.600
<v Speaker 4>on how we feel. And here again the narrative today

0:09:52.160 --> 0:09:53.600
<v Speaker 4>is the coast is clear.

0:09:53.720 --> 0:09:54.120
<v Speaker 1>Relax.

0:09:55.920 --> 0:09:58.440
<v Speaker 4>If there's going to be a recession, it's going to

0:09:58.520 --> 0:10:03.960
<v Speaker 4>be shallow if it. Inflations come down considerably from where

0:10:04.000 --> 0:10:08.319
<v Speaker 4>we were, and so we're investors are looking out ahead

0:10:08.760 --> 0:10:12.840
<v Speaker 4>and not appreciating that risks come out of nowhere.

0:10:12.920 --> 0:10:14.079
<v Speaker 2>Well, that's what I was going to say, and well,

0:10:14.120 --> 0:10:15.320
<v Speaker 2>we've got to do a little bit of news. But

0:10:15.520 --> 0:10:17.160
<v Speaker 2>you know, when you're in the comfort zone and you're

0:10:17.240 --> 0:10:18.800
<v Speaker 2>kind of relaxed, I mean, this is when all of

0:10:18.840 --> 0:10:21.200
<v Speaker 2>a sudden there's a regional bank problem or there's a

0:10:21.200 --> 0:10:24.240
<v Speaker 2>cryptical lapse, right like those are. So it feels like

0:10:24.280 --> 0:10:27.960
<v Speaker 2>what you're saying is we can kind of anticipate, maybe

0:10:28.200 --> 0:10:30.520
<v Speaker 2>not exactly what's going to go wrong, but that's something's

0:10:30.559 --> 0:10:33.320
<v Speaker 2>going to wrong go wrong, absolutely, and we can kind

0:10:33.320 --> 0:10:35.320
<v Speaker 2>of figure it out. Could we anticipate that a burning

0:10:35.400 --> 0:10:36.400
<v Speaker 2>made off was going to happen?

0:10:36.960 --> 0:10:40.080
<v Speaker 4>Yeah, because the more confident we are, the less we scrutinize,

0:10:40.240 --> 0:10:43.960
<v Speaker 4>and we fall a victim to content at both extremes

0:10:44.160 --> 0:10:49.320
<v Speaker 4>financial fomo a fomo, and it loads in confidence we

0:10:49.360 --> 0:10:50.400
<v Speaker 4>follow the wrong people.

0:10:50.960 --> 0:10:52.760
<v Speaker 2>I want to get right back to Peter Attwater, his

0:10:52.880 --> 0:10:55.679
<v Speaker 2>new book The Confidence Map, Charting a Path from Chaos

0:10:55.880 --> 0:10:59.720
<v Speaker 2>to Clarity. A professor at William and Mary so I said,

0:10:59.720 --> 0:11:02.800
<v Speaker 2>I'm events being unprecedented. Do you know that they are

0:11:02.920 --> 0:11:07.520
<v Speaker 2>entirely predictable? Is that true? Even black Swans are entirely predictable.

0:11:08.440 --> 0:11:11.079
<v Speaker 4>If you look at the backdrop of how people feel.

0:11:11.360 --> 0:11:15.040
<v Speaker 4>They're much more predictable than we realize. The means may change,

0:11:15.520 --> 0:11:20.080
<v Speaker 4>but extremely vulnerable people always do the same five things.

0:11:20.360 --> 0:11:24.200
<v Speaker 4>People who are extremely confident have a similar series of

0:11:24.280 --> 0:11:28.120
<v Speaker 4>things that they do. And so if I know how

0:11:28.200 --> 0:11:32.160
<v Speaker 4>people feel, I'm not going to be nearly as surprised

0:11:32.200 --> 0:11:35.520
<v Speaker 4>by what they do. And I live this with my

0:11:35.600 --> 0:11:38.280
<v Speaker 4>class as COVID was beginning to take hold, and we

0:11:38.280 --> 0:11:41.040
<v Speaker 4>would every week we would say is confidence higher or lower?

0:11:41.480 --> 0:11:44.600
<v Speaker 4>And if it got lower and lower, and each week

0:11:44.600 --> 0:11:46.840
<v Speaker 4>they would say, so, if since it's lower, what are

0:11:46.880 --> 0:11:50.680
<v Speaker 4>people going to do next? And as we approached March,

0:11:51.120 --> 0:11:53.280
<v Speaker 4>they were the ones who told me, professor, you need

0:11:53.360 --> 0:11:55.920
<v Speaker 4>to pack everything up for spring break, and because we're

0:11:55.920 --> 0:11:58.520
<v Speaker 4>not going to come back if confidence continues to fall.

0:11:59.360 --> 0:12:05.240
<v Speaker 4>And so we tend to overlook that confidence is changing.

0:12:05.440 --> 0:12:10.040
<v Speaker 4>Our choices change, and there are clear connections between what

0:12:10.080 --> 0:12:14.960
<v Speaker 4>we want and what we feel. And we look at

0:12:15.000 --> 0:12:21.560
<v Speaker 4>events as being the event, not the decisions made moment

0:12:21.720 --> 0:12:25.520
<v Speaker 4>before the event. If I think about nine to eleven,

0:12:25.559 --> 0:12:28.960
<v Speaker 4>we would say that caused American confidence to fall, But

0:12:29.040 --> 0:12:31.719
<v Speaker 4>if you look at the backdrop, confidence in them add

0:12:31.800 --> 0:12:35.400
<v Speaker 4>least was really low and so you could understand why

0:12:35.440 --> 0:12:39.319
<v Speaker 4>people who are feeling hopeless might undertake that samely with

0:12:39.800 --> 0:12:40.720
<v Speaker 4>the Arab spring.

0:12:41.040 --> 0:12:44.400
<v Speaker 3>So a skeptic of your framework might say, it's very

0:12:44.400 --> 0:12:46.200
<v Speaker 3>easy to connect the dots when you look back, but

0:12:46.240 --> 0:12:49.040
<v Speaker 3>how do we look forward and use this framework to

0:12:49.040 --> 0:12:49.840
<v Speaker 3>predict the future.

0:12:50.000 --> 0:12:53.680
<v Speaker 4>So that's what I try to do with investors in

0:12:53.720 --> 0:12:57.800
<v Speaker 4>real time with corporate executives in trying to help them

0:12:58.040 --> 0:13:03.520
<v Speaker 4>to realize that the choices are being are changing quickly

0:13:04.080 --> 0:13:07.520
<v Speaker 4>based on how we feel. And I found myself in

0:13:07.559 --> 0:13:13.360
<v Speaker 4>COVID working with corporations trying to rejigger their messages because

0:13:13.360 --> 0:13:17.560
<v Speaker 4>when we lack confidence, we need simplicity, We crave nostalgia,

0:13:18.160 --> 0:13:21.360
<v Speaker 4>and so you can if we can watch as people

0:13:21.400 --> 0:13:25.280
<v Speaker 4>are changing their mood, we can better anticipate what to

0:13:25.360 --> 0:13:27.800
<v Speaker 4>do in response. And that was one of the things

0:13:27.800 --> 0:13:32.280
<v Speaker 4>that emergency room doctors and first responders really showed me

0:13:32.640 --> 0:13:35.080
<v Speaker 4>that these are things you can prepare for and train

0:13:35.520 --> 0:13:38.040
<v Speaker 4>to anticipate how to behave in a crisis.

0:13:38.480 --> 0:13:41.160
<v Speaker 2>Right there, many of them were prepared for trauma, right

0:13:41.200 --> 0:13:43.640
<v Speaker 2>so in that when it came so okay, I'm thinking

0:13:43.679 --> 0:13:45.920
<v Speaker 2>people are at home, or they're driving, are they're going

0:13:45.960 --> 0:13:49.480
<v Speaker 2>to download this podcast or download this later as a podcast,

0:13:49.480 --> 0:13:51.480
<v Speaker 2>and they're like, Okay, so how do I apply that

0:13:52.040 --> 0:13:55.000
<v Speaker 2>to investing and how should I be thinking it about

0:13:55.040 --> 0:13:56.520
<v Speaker 2>it in today's market environment.

0:13:56.840 --> 0:13:59.000
<v Speaker 4>So one of the things I think investors need to

0:13:59.040 --> 0:14:05.200
<v Speaker 4>be careful about today is the historical relationship between stocks

0:14:05.200 --> 0:14:09.920
<v Speaker 4>and bonds seems to have broken down. That we think

0:14:09.960 --> 0:14:13.080
<v Speaker 4>of this in terms of a diversified pool, that owning

0:14:13.120 --> 0:14:16.800
<v Speaker 4>stocks helps you because they do better when stocks do worse.

0:14:17.280 --> 0:14:22.280
<v Speaker 4>And the reality is that not that long ago, confidence

0:14:22.320 --> 0:14:26.280
<v Speaker 4>in both stocks and bonds was staggeringly high. We had

0:14:26.320 --> 0:14:29.960
<v Speaker 4>trillions of dollars worth of negative yielding bonds at the

0:14:30.000 --> 0:14:33.920
<v Speaker 4>same time we're stampeding into crypto and all of these

0:14:34.120 --> 0:14:39.880
<v Speaker 4>crazy things, and we didn't realize that every piece of

0:14:39.920 --> 0:14:44.480
<v Speaker 4>that pie, that diversified pie, was piping hot. So you

0:14:44.600 --> 0:14:49.560
<v Speaker 4>need to think about not historical correlations, but how do

0:14:49.640 --> 0:14:54.960
<v Speaker 4>investors feel about what you own? Because you want to

0:14:55.000 --> 0:14:58.400
<v Speaker 4>own people, you want to own hopeless at the same time,

0:14:58.520 --> 0:15:01.240
<v Speaker 4>you want to own things that we're excited because it's

0:15:01.320 --> 0:15:05.560
<v Speaker 4>tomorrow land and having a mix of moods in your portfolio,

0:15:05.640 --> 0:15:08.320
<v Speaker 4>because that's where the real benefit of diversification comes from.

0:15:08.360 --> 0:15:10.520
<v Speaker 4>A mix of moods, A mix of moods.

0:15:10.640 --> 0:15:12.600
<v Speaker 2>It's interesting like that.

0:15:12.640 --> 0:15:14.000
<v Speaker 3>I mean, what does a mix of moods look like?

0:15:14.040 --> 0:15:16.920
<v Speaker 3>Obviously it depends on your age and your risk tolerance.

0:15:17.000 --> 0:15:19.520
<v Speaker 3>But how do you take a mood and apply that

0:15:19.600 --> 0:15:21.760
<v Speaker 3>to an ETF or to a fund or to a stock.

0:15:22.160 --> 0:15:24.440
<v Speaker 4>Well, price is a great way to discover it, because

0:15:24.480 --> 0:15:27.880
<v Speaker 4>I think prices market prices are a barometer of mood.

0:15:28.480 --> 0:15:30.960
<v Speaker 4>So you could have looked at the price of natural

0:15:31.000 --> 0:15:34.360
<v Speaker 4>gas last summer and scene that. You know, we were

0:15:34.440 --> 0:15:37.400
<v Speaker 4>terrified that there was going to be enormous scarcity, and

0:15:37.480 --> 0:15:43.320
<v Speaker 4>now there's immense complacency in that sector, that there's views

0:15:43.320 --> 0:15:47.120
<v Speaker 4>of abundance forever. And so you want to be thinking

0:15:47.160 --> 0:15:51.400
<v Speaker 4>about where is there intense scarcity, where are people stampeding

0:15:51.440 --> 0:15:52.760
<v Speaker 4>in and where they stampeding out?

0:15:52.800 --> 0:15:56.200
<v Speaker 2>All right, I'm going to go dark for you, charting

0:15:56.240 --> 0:15:59.080
<v Speaker 2>a path from chaos to clarity. I feel like climate

0:15:59.200 --> 0:16:04.480
<v Speaker 2>change is one of those. This is an existential question

0:16:04.560 --> 0:16:06.680
<v Speaker 2>for all of us in situation. So how do you

0:16:06.720 --> 0:16:07.520
<v Speaker 2>think about that?

0:16:08.240 --> 0:16:12.920
<v Speaker 4>So climate change is a very abstract concept, and if

0:16:12.960 --> 0:16:16.840
<v Speaker 4>you look at our eagerness to address climate change, it

0:16:17.280 --> 0:16:20.320
<v Speaker 4>migrates with our level of confidence, And what you'll find

0:16:20.440 --> 0:16:24.240
<v Speaker 4>is that when confidence is high, we want to tackle

0:16:24.360 --> 0:16:29.440
<v Speaker 4>climate change proactively, that our focus is prevent the problem.

0:16:30.000 --> 0:16:33.200
<v Speaker 4>And when confidence falls, our response to climate change is

0:16:33.600 --> 0:16:37.080
<v Speaker 4>we need to deal with the consequences of having not

0:16:37.240 --> 0:16:41.360
<v Speaker 4>dealt with it. And so if confidence falls, I think

0:16:41.400 --> 0:16:45.800
<v Speaker 4>you'll start to see that our interest in solving it

0:16:45.840 --> 0:16:48.880
<v Speaker 4>is swapped out for our need to address the fact

0:16:48.960 --> 0:16:53.880
<v Speaker 4>that we didn't. And so that's a behavioral change because

0:16:53.920 --> 0:16:59.920
<v Speaker 4>we move from abstract possibility to immediate need and vulnerability.

0:17:00.200 --> 0:17:02.240
<v Speaker 2>I just because it's just it's all I think about.

0:17:02.320 --> 0:17:03.360
<v Speaker 2>But then a lot.

0:17:03.280 --> 0:17:06.480
<v Speaker 3>Ability effects different people depending on where they live, if

0:17:06.520 --> 0:17:08.600
<v Speaker 3>they live, and I think maybe one thing that changes

0:17:08.840 --> 0:17:11.200
<v Speaker 3>was when you know, the skies over so much of

0:17:12.240 --> 0:17:14.400
<v Speaker 3>this part of the country turned red a few months

0:17:14.400 --> 0:17:17.359
<v Speaker 3>ago because of Canadian wildfires. I mean, we're in an

0:17:17.400 --> 0:17:19.800
<v Speaker 3>area that's not traditionally affected by wildfires, but we're seeing

0:17:19.800 --> 0:17:20.520
<v Speaker 3>the effects of that.

0:17:20.840 --> 0:17:25.800
<v Speaker 4>Yeah, so we need abstract vulnerabilities to become real. Think

0:17:25.840 --> 0:17:28.960
<v Speaker 4>about COVID. COVID did not become real for most Americans

0:17:29.080 --> 0:17:32.560
<v Speaker 4>until March eleventh, the night the Tom Hanks and Rudy

0:17:32.600 --> 0:17:34.440
<v Speaker 4>Gobert were the.

0:17:34.400 --> 0:17:38.200
<v Speaker 3>Headlines and the NBA.

0:17:37.119 --> 0:17:41.800
<v Speaker 4>And suddenly that was the tipping point and boom. We

0:17:41.840 --> 0:17:44.840
<v Speaker 4>all felt it and you could see it.

0:17:44.560 --> 0:17:45.600
<v Speaker 7>It was like a.

0:17:45.560 --> 0:17:48.520
<v Speaker 4>Wildfire of a shift in sentiment.

0:17:48.600 --> 0:17:50.159
<v Speaker 2>It's so true for so long we're like, it's not

0:17:50.200 --> 0:17:51.359
<v Speaker 2>going to be our problem. It's not going to be

0:17:51.359 --> 0:17:55.360
<v Speaker 2>our problems that all the stories went along with that. Yeah,

0:17:55.400 --> 0:17:57.000
<v Speaker 2>And I have to say, as a journalist or you know,

0:17:57.040 --> 0:17:58.880
<v Speaker 2>it felt kind of stupid, like on the other side,

0:17:58.880 --> 0:18:02.080
<v Speaker 2>like how did we what is this when we're thinking

0:18:02.320 --> 0:18:05.520
<v Speaker 2>how could this not impact us? Thank you so much,

0:18:06.320 --> 0:18:08.720
<v Speaker 2>Peter Atwater, Thank you so much. Such a treat to

0:18:08.720 --> 0:18:10.520
<v Speaker 2>have you in studio. The book is the Confidence Map,

0:18:10.600 --> 0:18:13.520
<v Speaker 2>charting a path from chaos to Clarity. I'm actually heading

0:18:13.520 --> 0:18:15.280
<v Speaker 2>to a beach, so I'm taking this with me because

0:18:15.280 --> 0:18:16.840
<v Speaker 2>I've just done a little bit of reading, but I

0:18:16.840 --> 0:18:18.880
<v Speaker 2>want to read it which just came out Carol, I know, Peter,

0:18:18.960 --> 0:18:20.879
<v Speaker 2>Thank you, good luck with it. Come back soon. This

0:18:21.000 --> 0:18:21.560
<v Speaker 2>is Bloomberg.

0:18:22.000 --> 0:18:25.560
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:18:25.600 --> 0:18:29.080
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on.

0:18:29.000 --> 0:18:31.840
<v Speaker 5>Bloomberg dot com, the iHeartRadio app, and the.

0:18:31.800 --> 0:18:35.639
<v Speaker 1>Bloomberg Business app, or watch us live on YouTube.

0:18:36.840 --> 0:18:40.120
<v Speaker 2>We have been focusing big time on Megacap tech earnings,

0:18:40.480 --> 0:18:43.160
<v Speaker 2>Microsoft Alphabet, You got Amazon next week, and as they report,

0:18:43.480 --> 0:18:46.359
<v Speaker 2>we always focus on a very key metric, tim and

0:18:46.400 --> 0:18:49.119
<v Speaker 2>it is all about their cloud business. We did that

0:18:49.200 --> 0:18:51.640
<v Speaker 2>last night with Microsoft. A little bit of a disappointment.

0:18:51.720 --> 0:18:54.280
<v Speaker 2>It's a big business we know when it comes to cloud.

0:18:54.800 --> 0:18:56.480
<v Speaker 2>And as a new story in Business Week notes, the

0:18:56.480 --> 0:19:00.000
<v Speaker 2>cloud is part of an ecosystem that consumes many resources,

0:19:00.080 --> 0:19:00.840
<v Speaker 2>including water.

0:19:01.080 --> 0:19:03.200
<v Speaker 3>Yeah, this was really surprising to me because I've heard

0:19:03.200 --> 0:19:05.600
<v Speaker 3>the cloud consumes a lot of energy. Check out this

0:19:05.640 --> 0:19:07.720
<v Speaker 3>story in the new issue. It's on newstands later this week.

0:19:07.760 --> 0:19:10.240
<v Speaker 3>It's already online at Bloomberg dot com. Slash business Week

0:19:10.359 --> 0:19:12.560
<v Speaker 3>is of course on the Bloomberg terminal. It's also among

0:19:12.600 --> 0:19:14.840
<v Speaker 3>the most read on the terminal today. The editor on

0:19:14.880 --> 0:19:18.359
<v Speaker 3>the story, Bloomberg BusinessWeek Technology editor Joshua breustein with us

0:19:18.400 --> 0:19:22.040
<v Speaker 3>here in our Bloomberg Interactive broker's studio. It's incredible to

0:19:22.040 --> 0:19:24.240
<v Speaker 3>see this story. We knew view that they use a

0:19:24.240 --> 0:19:27.320
<v Speaker 3>lot of energy, but water, Just how much water do

0:19:27.400 --> 0:19:28.240
<v Speaker 3>data centers use?

0:19:29.160 --> 0:19:29.480
<v Speaker 7>Well?

0:19:30.200 --> 0:19:32.600
<v Speaker 8>Data centers are Actually it's a bit of a question

0:19:32.720 --> 0:19:35.400
<v Speaker 8>because tech companies haven't generally been reporting on how much

0:19:35.440 --> 0:19:38.840
<v Speaker 8>water their data centers are using. As you said, electricity

0:19:38.840 --> 0:19:41.040
<v Speaker 8>has been a big deal. But basically what happens is

0:19:41.560 --> 0:19:45.040
<v Speaker 8>you have these computer servers running, they're running very hot,

0:19:45.160 --> 0:19:49.240
<v Speaker 8>and they use water to cool them down. As an example,

0:19:49.480 --> 0:19:53.200
<v Speaker 8>Meta is planning on building a data center in a

0:19:53.440 --> 0:19:57.240
<v Speaker 8>drought stricken area of Spain and it's expected to use

0:19:57.280 --> 0:20:00.280
<v Speaker 8>about six hundred and sixty five million liters year.

0:20:01.160 --> 0:20:04.840
<v Speaker 3>So let's talk geography here because the story goes into

0:20:05.400 --> 0:20:09.400
<v Speaker 3>why these data centers are located where they are. Why

0:20:09.440 --> 0:20:12.240
<v Speaker 3>not put this somewhere near that's not drought stricken.

0:20:13.320 --> 0:20:16.080
<v Speaker 8>Yeah, it's a good question. I think they're looking for

0:20:16.119 --> 0:20:18.200
<v Speaker 8>a couple of things. When you're citing a data center,

0:20:18.280 --> 0:20:21.720
<v Speaker 8>you want access to cheap electricity, you want access to water,

0:20:21.840 --> 0:20:25.520
<v Speaker 8>and you want access to a government that will allow

0:20:25.560 --> 0:20:27.960
<v Speaker 8>you to build a data center. And what you found

0:20:28.000 --> 0:20:31.080
<v Speaker 8>is that some areas where there is plentiful water have

0:20:31.200 --> 0:20:36.720
<v Speaker 8>started to oppose these data centers exactly for the tax

0:20:36.720 --> 0:20:37.800
<v Speaker 8>they put on resources.

0:20:38.480 --> 0:20:40.159
<v Speaker 2>I thought what was really interesting is a quote in

0:20:40.160 --> 0:20:41.800
<v Speaker 2>the story that says people don't realize that the cloud

0:20:41.840 --> 0:20:43.760
<v Speaker 2>is real, that it is part of an ecosystem that

0:20:43.760 --> 0:20:46.840
<v Speaker 2>consumes many resources. I mean, you're right, we're learning. Like

0:20:47.000 --> 0:20:49.000
<v Speaker 2>we all talk about cloud and we just think it's

0:20:49.119 --> 0:20:51.360
<v Speaker 2>just where our photos go. And if your a business,

0:20:51.400 --> 0:20:53.560
<v Speaker 2>just a lot of information goes. And all we know

0:20:53.680 --> 0:20:56.960
<v Speaker 2>is with AI, it's going to be even more in demand. Correct,

0:20:57.320 --> 0:20:59.360
<v Speaker 2>And so we're going to continue to see data centers

0:20:59.400 --> 0:21:03.080
<v Speaker 2>all around the world, if you will. And there are

0:21:03.200 --> 0:21:04.120
<v Speaker 2>costs to.

0:21:04.160 --> 0:21:08.000
<v Speaker 8>That, Yeah, absolutely, I think like that with so much

0:21:08.000 --> 0:21:10.480
<v Speaker 8>things with tech, it just seems so clean, so easy,

0:21:11.040 --> 0:21:13.320
<v Speaker 8>and then behind it there's a lot going on that

0:21:13.400 --> 0:21:15.719
<v Speaker 8>we don't have to think about if we don't want to.

0:21:15.960 --> 0:21:16.960
<v Speaker 2>What are companies doing?

0:21:16.960 --> 0:21:17.120
<v Speaker 9>Though?

0:21:17.160 --> 0:21:20.919
<v Speaker 2>So listen, And I'm curious about the oversight Joshua, Like,

0:21:21.520 --> 0:21:25.159
<v Speaker 2>aren't companies they talk about being green and sustainable, So

0:21:25.240 --> 0:21:27.800
<v Speaker 2>what's the oversight of understanding the impact if you build

0:21:27.800 --> 0:21:29.919
<v Speaker 2>a data center here? This is what it's going to

0:21:29.960 --> 0:21:30.840
<v Speaker 2>mean for the environment.

0:21:31.880 --> 0:21:32.080
<v Speaker 7>Yeah.

0:21:32.119 --> 0:21:36.240
<v Speaker 8>So obviously there are different environmental review processes and different jurisdictions,

0:21:36.720 --> 0:21:40.680
<v Speaker 8>and the tech companies are saying that they do care

0:21:40.760 --> 0:21:43.760
<v Speaker 8>a lot about the environmental impacts. Obviously, if they can

0:21:43.800 --> 0:21:46.960
<v Speaker 8>cut down on energy use, on water use, it will

0:21:46.960 --> 0:21:50.080
<v Speaker 8>also make their data centers cheaper. So all of the

0:21:50.080 --> 0:21:54.160
<v Speaker 8>companies are working on ways to reduce water consumption, and

0:21:54.560 --> 0:21:56.480
<v Speaker 8>I think what you see is that they are getting

0:21:56.480 --> 0:21:59.240
<v Speaker 8>more efficient at this, but the problem is their capacity.

0:21:59.480 --> 0:22:02.240
<v Speaker 8>Their need for capacity is growing so much faster than

0:22:02.280 --> 0:22:05.280
<v Speaker 8>their ability to increase efficiency that overall it's going up.

0:22:05.480 --> 0:22:07.800
<v Speaker 3>This seems well, my thoughts are going in a lot

0:22:07.800 --> 0:22:10.480
<v Speaker 3>of different places right now, Joshua, But it seems like

0:22:10.680 --> 0:22:12.639
<v Speaker 3>the type of problem that tech could solve.

0:22:12.960 --> 0:22:13.120
<v Speaker 10>Right.

0:22:13.400 --> 0:22:17.760
<v Speaker 3>Can't you create something that doesn't need to be cool?

0:22:17.760 --> 0:22:21.439
<v Speaker 3>It's like a nuclear power plant core? Can you create

0:22:21.480 --> 0:22:24.919
<v Speaker 3>something that doesn't create as much heat? This seems like

0:22:25.280 --> 0:22:27.560
<v Speaker 3>there's some brilliant person somewhere who's going to be able

0:22:27.560 --> 0:22:29.639
<v Speaker 3>to do this and it just hasn't happened yet. Am

0:22:29.680 --> 0:22:30.600
<v Speaker 3>I being too optimistic?

0:22:31.040 --> 0:22:31.240
<v Speaker 7>Yeah?

0:22:31.280 --> 0:22:33.800
<v Speaker 8>I mean I think that there is a limit to

0:22:34.440 --> 0:22:37.040
<v Speaker 8>how much to how much you can get this down.

0:22:37.080 --> 0:22:40.280
<v Speaker 8>I mean, these things are running computers, They use power,

0:22:40.720 --> 0:22:43.360
<v Speaker 8>they create heat. You have to deal with that, and

0:22:43.680 --> 0:22:46.760
<v Speaker 8>there are efforts to make these things more energy efficient.

0:22:46.800 --> 0:22:51.040
<v Speaker 8>The question is can they beat the can't?

0:22:51.119 --> 0:22:51.680
<v Speaker 11>It's a race?

0:22:51.760 --> 0:22:55.199
<v Speaker 8>Basically, their capacity needs are growing up. They need to

0:22:55.280 --> 0:22:57.800
<v Speaker 8>come up with better ways to do it and like, who's.

0:22:57.520 --> 0:22:58.920
<v Speaker 3>Going to get their first And it's not like the water,

0:22:59.040 --> 0:23:01.119
<v Speaker 3>it's not like the water gets run through this and

0:23:01.160 --> 0:23:03.440
<v Speaker 3>then you know, it's just warm water. On the other side,

0:23:03.480 --> 0:23:06.560
<v Speaker 3>you talk about water just evaporating into the atmosphere as

0:23:06.560 --> 0:23:08.560
<v Speaker 3>a result of this cooling process.

0:23:08.800 --> 0:23:11.280
<v Speaker 8>Yeah, that's a big way that the consumption happens is

0:23:11.320 --> 0:23:14.560
<v Speaker 8>actually the data centers use the water the water evaporates

0:23:14.560 --> 0:23:15.879
<v Speaker 8>as a way to cool them down, and then the

0:23:15.880 --> 0:23:18.399
<v Speaker 8>water is you know, effectively gone on site.

0:23:18.520 --> 0:23:21.119
<v Speaker 2>Tell us about the conversation. I want to take a

0:23:21.119 --> 0:23:25.000
<v Speaker 2>step back because we often when we talk with Jill Weber,

0:23:25.040 --> 0:23:26.639
<v Speaker 2>the editor of the magazine, it's like, how does this

0:23:26.760 --> 0:23:28.520
<v Speaker 2>story come to be and how do you guys what's

0:23:28.560 --> 0:23:31.320
<v Speaker 2>the conversation in the newsroom that ultimately leads to what

0:23:31.359 --> 0:23:36.800
<v Speaker 2>we are reading today. What was the germination of the story.

0:23:37.320 --> 0:23:40.520
<v Speaker 8>Yeah, well, obviously this came out of Europe. There's been

0:23:40.800 --> 0:23:43.840
<v Speaker 8>a lot of talk about the effects on drought and

0:23:43.880 --> 0:23:47.600
<v Speaker 8>heat in Europe this summer, and there is one large

0:23:47.680 --> 0:23:50.159
<v Speaker 8>data center that I mentioned that Meta is planning in Spain,

0:23:50.960 --> 0:23:54.000
<v Speaker 8>and because it's happening in an area that's really being

0:23:54.080 --> 0:23:56.960
<v Speaker 8>hard hit, there's a lot of questions around that data

0:23:57.000 --> 0:23:59.920
<v Speaker 8>center in particular, and when you look at that conflict,

0:24:00.119 --> 0:24:02.320
<v Speaker 8>you quickly realize that this is a stand in for

0:24:02.359 --> 0:24:04.959
<v Speaker 8>a larger conflict that's happening in a lot of different places.

0:24:05.040 --> 0:24:07.439
<v Speaker 2>It's kind of amazing because you, well are not amazing

0:24:07.480 --> 0:24:10.719
<v Speaker 2>because you understand governments they want these facilities built. Right,

0:24:10.760 --> 0:24:15.800
<v Speaker 2>It typically means economic impact, right or jobs created in

0:24:15.880 --> 0:24:17.760
<v Speaker 2>data centers. I guess right, there's a fair amount of

0:24:17.760 --> 0:24:18.399
<v Speaker 2>people in there.

0:24:18.960 --> 0:24:21.520
<v Speaker 8>Yeah, I think there's some question about how much how

0:24:21.520 --> 0:24:23.399
<v Speaker 8>many jobs are created by data centers. Obviously, if you

0:24:23.400 --> 0:24:25.760
<v Speaker 8>think about what a data center is, the whole ideas

0:24:25.800 --> 0:24:28.480
<v Speaker 8>that it is running not with people, but just running

0:24:28.480 --> 0:24:29.560
<v Speaker 8>computer right service.

0:24:29.560 --> 0:24:32.159
<v Speaker 3>But the doing but the construction of them takes local labor,

0:24:32.280 --> 0:24:33.520
<v Speaker 3>and it creates tax revenue.

0:24:33.600 --> 0:24:36.120
<v Speaker 8>Absolutely, there is some economic impact here and that's why

0:24:36.119 --> 0:24:39.000
<v Speaker 8>people want them. And also just sort of overall, I

0:24:39.040 --> 0:24:42.159
<v Speaker 8>think tech is an economic driver and this is a

0:24:42.200 --> 0:24:44.600
<v Speaker 8>part of the infrastructure that has to be cited somewhere.

0:24:44.680 --> 0:24:46.280
<v Speaker 2>You probably have to have the data center set right

0:24:46.320 --> 0:24:48.640
<v Speaker 2>closer to kind of where some of the activity maybe

0:24:48.720 --> 0:24:51.560
<v Speaker 2>is also happening. Can you take us to a photo

0:24:53.280 --> 0:24:56.359
<v Speaker 2>the umbrellas. This is umbrellas in Spain. It's how you

0:24:56.400 --> 0:25:00.280
<v Speaker 2>guys wrap up the story. But it's a canopy to

0:25:00.280 --> 0:25:03.440
<v Speaker 2>protect locals, you know, And it was kind of interesting

0:25:04.240 --> 0:25:07.200
<v Speaker 2>in terms of I guess, I don't know, to help

0:25:07.240 --> 0:25:08.840
<v Speaker 2>the environment, I don't know.

0:25:09.600 --> 0:25:11.919
<v Speaker 8>Yeah, I think we were just trying to show like

0:25:12.640 --> 0:25:16.600
<v Speaker 8>how panicked people are in this area and like how

0:25:16.720 --> 0:25:18.760
<v Speaker 8>much people are trying to come up with ways to

0:25:18.880 --> 0:25:22.160
<v Speaker 8>even deal with the you know, the activity that's already there.

0:25:23.080 --> 0:25:26.440
<v Speaker 8>This is really straining everyone, and you know, adding a

0:25:26.520 --> 0:25:29.600
<v Speaker 8>data center is just an extra complication to the mix.

0:25:29.720 --> 0:25:31.480
<v Speaker 3>It still seems like to me there could be just

0:25:31.520 --> 0:25:33.800
<v Speaker 3>better places for data centers in the.

0:25:33.680 --> 0:25:34.680
<v Speaker 11>World, like Norway.

0:25:35.080 --> 0:25:38.240
<v Speaker 3>Well, Norway has expensive energy, I think is what is

0:25:38.280 --> 0:25:40.280
<v Speaker 3>what the article said, Correct me if I'm wrong, Joshua.

0:25:40.640 --> 0:25:43.280
<v Speaker 3>And the amounts of water, but lots of water exactly.

0:25:43.680 --> 0:25:45.800
<v Speaker 3>Isn't there a place where there's you know, lots of

0:25:45.840 --> 0:25:48.760
<v Speaker 3>water and hydro. I mean, I think of the bitcoin

0:25:48.840 --> 0:25:51.919
<v Speaker 3>mining issue as well, and you know, when we talk

0:25:51.960 --> 0:25:54.680
<v Speaker 3>about the energy, and some would call it waste some wooden,

0:25:55.560 --> 0:25:57.680
<v Speaker 3>but there are places where you could co locate these

0:25:57.680 --> 0:25:59.720
<v Speaker 3>facilities that would be a lot more, would have a

0:25:59.760 --> 0:26:02.240
<v Speaker 3>better environmental impact, perhaps near renewable sources.

0:26:02.600 --> 0:26:04.480
<v Speaker 8>Yeah, absolutely, I think that's what people are looking for.

0:26:04.600 --> 0:26:06.800
<v Speaker 8>And when you mentioned bitcoin mining and so that's not

0:26:07.119 --> 0:26:10.160
<v Speaker 8>even a related issue, that is the same issue. I mean,

0:26:10.240 --> 0:26:14.760
<v Speaker 8>bitcoin mining operations are data centers. So you want to locate,

0:26:14.840 --> 0:26:18.280
<v Speaker 8>as you said, in places with large amounts of renewable energy.

0:26:18.320 --> 0:26:22.359
<v Speaker 8>Oftentimes that is hydro electricity, So those can be places

0:26:22.359 --> 0:26:25.280
<v Speaker 8>where there's also plentiful water. But when you have a

0:26:25.320 --> 0:26:27.480
<v Speaker 8>need for so many data centers and they need to

0:26:27.480 --> 0:26:30.120
<v Speaker 8>be geographically spread out, you're going to end up going

0:26:30.119 --> 0:26:31.840
<v Speaker 8>into a lot of places with different tensions.

0:26:31.960 --> 0:26:34.120
<v Speaker 2>I do feel like Europe's going to ultimately lead the way,

0:26:34.160 --> 0:26:36.439
<v Speaker 2>like they do on so much in terms of oversight

0:26:36.920 --> 0:26:39.400
<v Speaker 2>and regulation. So where does it go from here at

0:26:39.400 --> 0:26:41.560
<v Speaker 2>this point? I mean, you guys are certainly putting it

0:26:42.000 --> 0:26:45.080
<v Speaker 2>on the radar by writing this story, but I'm just curious.

0:26:45.200 --> 0:26:48.240
<v Speaker 2>It hasn't been something we talk a ton about, and

0:26:48.280 --> 0:26:50.640
<v Speaker 2>I just wonder when it becomes one of those things

0:26:50.640 --> 0:26:53.080
<v Speaker 2>that lawmakers and policy makers globally you're like, well, wait

0:26:53.080 --> 0:26:54.280
<v Speaker 2>a minute, we got to think about this.

0:26:54.680 --> 0:26:56.040
<v Speaker 8>Yeah, I think this is going to be an issue

0:26:56.040 --> 0:26:58.840
<v Speaker 8>that you'll be hearing about more as resources continue to

0:26:58.920 --> 0:26:59.880
<v Speaker 8>be taxed more and more.

0:27:00.080 --> 0:27:02.520
<v Speaker 2>Yeah, especially with AI. Like I love the I don't

0:27:02.560 --> 0:27:04.160
<v Speaker 2>know that I love it, but what it says about

0:27:04.160 --> 0:27:06.520
<v Speaker 2>AI that the chips that they use for AI generate

0:27:06.920 --> 0:27:08.800
<v Speaker 2>lots and lots of more more heat.

0:27:08.880 --> 0:27:10.760
<v Speaker 3>In the reporting for this story, I'm wondering if and

0:27:10.760 --> 0:27:12.359
<v Speaker 3>you were the editor on the story, but I'm wondering

0:27:12.359 --> 0:27:15.240
<v Speaker 3>if if you know, we found that there are some

0:27:15.400 --> 0:27:20.160
<v Speaker 3>governments that are so enthusiastic about this despite the environmental consequences.

0:27:19.880 --> 0:27:22.600
<v Speaker 3>And we should note in the piece, it's not like

0:27:22.640 --> 0:27:24.520
<v Speaker 3>these companies are coming in and advertising the fact that

0:27:24.520 --> 0:27:28.000
<v Speaker 3>these are data centers. You know, the author's right that

0:27:28.359 --> 0:27:30.439
<v Speaker 3>these things just look like they could be warehouses. They

0:27:30.480 --> 0:27:32.439
<v Speaker 3>look like any other huge building, industrial building.

0:27:33.160 --> 0:27:33.400
<v Speaker 7>Yeah.

0:27:33.400 --> 0:27:33.920
<v Speaker 11>Absolutely.

0:27:33.960 --> 0:27:37.360
<v Speaker 8>I don't think that this is something that the companies

0:27:37.400 --> 0:27:39.919
<v Speaker 8>that are building them are necessarily wanting to go in

0:27:39.960 --> 0:27:41.879
<v Speaker 8>and make a big show of things. They're just trying

0:27:41.920 --> 0:27:44.240
<v Speaker 8>to set these things up and quietly go about their

0:27:44.280 --> 0:27:46.320
<v Speaker 8>business and maybe talk about They really want to talk

0:27:46.320 --> 0:27:48.840
<v Speaker 8>about more of the consumer facing things that people might

0:27:48.920 --> 0:27:50.240
<v Speaker 8>care about or even notice.

0:27:50.280 --> 0:27:52.080
<v Speaker 3>You know what's so interesting too is I was thinking

0:27:52.080 --> 0:27:53.680
<v Speaker 3>a lot about Apple when I was reading this story,

0:27:53.720 --> 0:27:56.080
<v Speaker 3>and a few years ago, Apple decided to when when

0:27:56.200 --> 0:27:59.679
<v Speaker 3>the materials that go into phones, that go into chips

0:28:00.200 --> 0:28:03.200
<v Speaker 3>came under such scrutiny the mining practices around those, Apple

0:28:03.240 --> 0:28:05.280
<v Speaker 3>decided to make changes to the way it discloses its

0:28:05.280 --> 0:28:07.440
<v Speaker 3>supply chain. And you can read all this on their website.

0:28:07.560 --> 0:28:11.640
<v Speaker 3>But I haven't heard anything about data center usage and transparency.

0:28:11.720 --> 0:28:13.960
<v Speaker 3>There is that something we're going to see a demand for.

0:28:14.600 --> 0:28:16.240
<v Speaker 8>I think we're already seeing a demand for it. I

0:28:16.240 --> 0:28:18.440
<v Speaker 8>think that came up in this story is what you

0:28:18.520 --> 0:28:21.639
<v Speaker 8>see government saying to tech companies is well, you have

0:28:21.720 --> 0:28:25.480
<v Speaker 8>to at least tell us more about how you're using water,

0:28:26.000 --> 0:28:28.240
<v Speaker 8>if just so at the least we can plan for

0:28:28.280 --> 0:28:31.720
<v Speaker 8>what you're doing. And obviously once they see those stats,

0:28:31.760 --> 0:28:33.080
<v Speaker 8>they may want to say, well, you've got to come

0:28:33.119 --> 0:28:35.920
<v Speaker 8>up with a way to use less. And the first

0:28:35.920 --> 0:28:38.000
<v Speaker 8>thing to do is just get the information right.

0:28:38.000 --> 0:28:40.640
<v Speaker 2>And carbon offsets don't do it. Yeah, it's like my

0:28:40.720 --> 0:28:42.960
<v Speaker 2>big pet peeve, as of like, because it doesn't.

0:28:43.280 --> 0:28:45.840
<v Speaker 8>It just kind of well, there is an interesting parallel

0:28:45.840 --> 0:28:48.080
<v Speaker 8>to carbon offsets, which is that if we use this water,

0:28:48.160 --> 0:28:51.240
<v Speaker 8>we will restore water. We will restore water somehow. And

0:28:51.280 --> 0:28:53.880
<v Speaker 8>you run into a lot of the same issues where well,

0:28:53.880 --> 0:28:55.360
<v Speaker 8>where is it going to be restored? How's that going

0:28:55.440 --> 0:28:55.720
<v Speaker 8>to work?

0:28:55.760 --> 0:28:56.240
<v Speaker 11>Exactly?

0:28:56.360 --> 0:28:59.200
<v Speaker 2>No, it's like, stop doing the bad stuff. I'm sorry.

0:28:59.400 --> 0:29:02.840
<v Speaker 2>I just think for how we we've the Corent off sets.

0:29:02.880 --> 0:29:04.760
<v Speaker 2>It's the answer to everything. It's like, no, stop doing

0:29:04.800 --> 0:29:07.760
<v Speaker 2>the bad stuff right at this point. No, But and

0:29:07.840 --> 0:29:10.200
<v Speaker 2>I think about again, you know, there's just going to

0:29:10.240 --> 0:29:11.680
<v Speaker 2>be more and more of these around the world, So

0:29:11.800 --> 0:29:13.760
<v Speaker 2>you just think, Okay, this is just going to become

0:29:14.160 --> 0:29:17.000
<v Speaker 2>a much more serious problem, especially if you look at

0:29:17.000 --> 0:29:19.360
<v Speaker 2>the summer we're having in terms of the weather, right,

0:29:19.440 --> 0:29:23.040
<v Speaker 2>and the impact of that. Absolutely all right, great story.

0:29:23.080 --> 0:29:25.280
<v Speaker 3>I think twice about saving your photos to the cloud, Carol,

0:29:27.080 --> 0:29:30.280
<v Speaker 3>You just you're just not winning as a consumer.

0:29:29.920 --> 0:29:33.240
<v Speaker 2>It's if you think about like your your car, your footprint.

0:29:33.600 --> 0:29:34.360
<v Speaker 2>This is part of it.

0:29:34.400 --> 0:29:37.080
<v Speaker 3>I just got to notice that eighty five percent full

0:29:37.120 --> 0:29:38.400
<v Speaker 3>on Google Storage.

0:29:39.720 --> 0:29:40.720
<v Speaker 6>We need more clouds.

0:29:41.160 --> 0:29:44.760
<v Speaker 2>It gotta buy some more cloud Yeah, it's really fascinating. Anyway,

0:29:44.880 --> 0:29:46.760
<v Speaker 2>Thank you so much for bringing us the story. Absolutely

0:29:47.080 --> 0:29:50.520
<v Speaker 2>so appreciate it. Joshua Brustin. He is technology editor and

0:29:50.640 --> 0:29:54.560
<v Speaker 2>oversees the Tech section of Bloomberg BusinessWeek magazine. This story

0:29:54.720 --> 0:29:57.800
<v Speaker 2>is in the New issue. It's coming out on newsstands tomorrow.

0:29:57.840 --> 0:30:00.120
<v Speaker 2>It's already on the Bloomberg and of course at Bloomberg Dot.

0:30:00.440 --> 0:30:02.880
<v Speaker 2>But I feel like all the climate stuff that's coming out,

0:30:02.920 --> 0:30:05.520
<v Speaker 2>like you're just getting different pieces about, you know, our

0:30:05.560 --> 0:30:06.800
<v Speaker 2>impact on our world.

0:30:06.960 --> 0:30:08.520
<v Speaker 3>Yeah, and again, this is one of those things that

0:30:08.520 --> 0:30:10.719
<v Speaker 3>you don't necessarily think about the environmental impact of what

0:30:10.760 --> 0:30:12.520
<v Speaker 3>you're doing on your phone or what you're doing with

0:30:12.560 --> 0:30:14.440
<v Speaker 3>your digital life and the real world impact that it

0:30:14.480 --> 0:30:17.240
<v Speaker 3>has because these things are not actual things, right. These

0:30:17.240 --> 0:30:19.720
<v Speaker 3>photos are digital, they're not you know, and it's not

0:30:19.760 --> 0:30:22.440
<v Speaker 3>just photos, right, it's like AI powered in the cloud.

0:30:22.400 --> 0:30:25.080
<v Speaker 2>It's everything. Can I ask you one thing? Did you

0:30:25.240 --> 0:30:28.480
<v Speaker 2>oh did what did the companies say or does it

0:30:28.560 --> 0:30:29.320
<v Speaker 2>just kind of like.

0:30:29.600 --> 0:30:32.320
<v Speaker 8>Well, what the companies say is we know that climate

0:30:32.360 --> 0:30:34.000
<v Speaker 8>change is real, we know it's a big deal, and

0:30:34.040 --> 0:30:35.880
<v Speaker 8>we're working really hard to be more efficient at this

0:30:35.920 --> 0:30:38.360
<v Speaker 8>which I think is true. Yeah, they are trying to

0:30:38.360 --> 0:30:40.760
<v Speaker 8>come up with ways to use less water and energy,

0:30:41.200 --> 0:30:44.040
<v Speaker 8>but they're also coming up with ways to put AI

0:30:44.120 --> 0:30:44.600
<v Speaker 8>into everything.

0:30:44.720 --> 0:30:46.960
<v Speaker 2>Is it only water though? That does it? That cools it?

0:30:47.040 --> 0:30:50.080
<v Speaker 8>Like at this point, Yeah, that the main that those

0:30:50.080 --> 0:30:50.960
<v Speaker 8>are the main techniques.

0:30:51.040 --> 0:30:53.960
<v Speaker 3>Yeah, So while we still have you, I do want

0:30:53.960 --> 0:30:55.600
<v Speaker 3>to say that there's a good there's a really good

0:30:55.680 --> 0:30:59.280
<v Speaker 3>quantity way to quantify how much water is being used.

0:30:59.320 --> 0:31:01.640
<v Speaker 3>And there's a team at the University of California Riverside,

0:31:01.640 --> 0:31:04.680
<v Speaker 3>and this is in the piece. They've calculated that every

0:31:04.720 --> 0:31:07.840
<v Speaker 3>short conversation of twenty to fifty questions and answers with

0:31:07.960 --> 0:31:11.960
<v Speaker 3>chat GPT represents about five hundred milli liters of water.

0:31:12.400 --> 0:31:15.360
<v Speaker 2>So stop doing it, Matt Miller. Stop talking with chat GPT.

0:31:15.600 --> 0:31:17.280
<v Speaker 3>If you're just ask a few a questions, you're just

0:31:17.320 --> 0:31:19.880
<v Speaker 3>watering the sidewalk when you do that, just pouring water

0:31:19.920 --> 0:31:20.480
<v Speaker 3>out onto the CEM.

0:31:20.720 --> 0:31:24.200
<v Speaker 2>Just stop it. Everybody, thank you, We really appreciate it.

0:31:24.240 --> 0:31:27.200
<v Speaker 2>Joshua Bustin, as we said, technology editor at Bloomberg Business Week,

0:31:27.720 --> 0:31:30.120
<v Speaker 2>And of course the new issue is coming out coming up.

0:31:30.120 --> 0:31:34.360
<v Speaker 2>We've got a really treat for everyone. He's certainly a

0:31:34.440 --> 0:31:36.920
<v Speaker 2>friend of the show. We're talking about Peter atwater over

0:31:36.960 --> 0:31:40.240
<v Speaker 2>at William and Mary, but former banker, someone who understands

0:31:40.280 --> 0:31:42.760
<v Speaker 2>how Wall Street and the financial markets work and financial

0:31:42.840 --> 0:31:45.720
<v Speaker 2>services works. And he's got a new book. It's about

0:31:45.800 --> 0:31:48.000
<v Speaker 2>the Confidence Map, and you're going to have to draw

0:31:48.160 --> 0:31:48.920
<v Speaker 2>a square.

0:31:49.600 --> 0:31:51.520
<v Speaker 3>I love this because it offers a framework for how

0:31:51.560 --> 0:31:54.040
<v Speaker 3>to think about decision making, how to think about decisions

0:31:54.080 --> 0:31:55.400
<v Speaker 3>that you make in your life. He made a really

0:31:55.400 --> 0:31:57.920
<v Speaker 3>big decision when he was forty five and left financial

0:31:57.960 --> 0:32:01.800
<v Speaker 3>services and decided to research confidence instead. And I think

0:32:01.800 --> 0:32:03.760
<v Speaker 3>it's fair to say this this book is the product

0:32:03.800 --> 0:32:05.560
<v Speaker 3>of that sort of second act that he's had.

0:32:05.640 --> 0:32:07.760
<v Speaker 2>Speaking of decisions, we'll maybe ask him two a little

0:32:07.760 --> 0:32:09.960
<v Speaker 2>bit about what he makes about the FOMC decision.

0:32:10.000 --> 0:32:10.840
<v Speaker 5>Oh that's a good idea.

0:32:11.120 --> 0:32:12.440
<v Speaker 2>Yeah, I just see what he has to say, and

0:32:12.480 --> 0:32:14.600
<v Speaker 2>then we'll kind of broaden it out. All right, You

0:32:14.640 --> 0:32:17.040
<v Speaker 2>are listening and watching Bloomberg Business Week. Carol Master, long it,

0:32:17.080 --> 0:32:18.400
<v Speaker 2>Tim Stanic, This is Bloomberg.

0:32:23.080 --> 0:32:26.680
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:32:26.680 --> 0:32:30.160
<v Speaker 1>live weekday afternoons from three to six Eastern Listen.

0:32:29.920 --> 0:32:33.400
<v Speaker 5>On Bloomberg dot com, the iHeartRadio app, and the Bloomberg

0:32:33.440 --> 0:32:36.240
<v Speaker 5>Business App, or watch us live on YouTube.

0:32:36.800 --> 0:32:38.360
<v Speaker 2>Can you talk about it? We all talk about a

0:32:38.360 --> 0:32:40.959
<v Speaker 2>few certainties in life, right, death taxes, and the American

0:32:41.000 --> 0:32:43.120
<v Speaker 2>healthcare system is, for lack of a better word, it's

0:32:43.200 --> 0:32:47.640
<v Speaker 2>a mess. Yeah, like disruption, innovation. Come on, come do something.

0:32:47.760 --> 0:32:50.720
<v Speaker 3>So remember, we have the Affordable Care Act Obamacare, right, right,

0:32:50.720 --> 0:32:54.280
<v Speaker 3>that's supposed to solve all of the problems for uninsured Americans. Well,

0:32:54.280 --> 0:32:57.520
<v Speaker 3>guess what. In twenty twenty one, nearly thirty million people,

0:32:57.520 --> 0:32:59.760
<v Speaker 3>more than eight percent of the US population, didn't have

0:32:59.800 --> 0:33:02.440
<v Speaker 3>help insurance. That's according to the US Census Bureau. Now,

0:33:02.440 --> 0:33:04.479
<v Speaker 3>don't get me wrong, this is a lot better than

0:33:04.560 --> 0:33:07.240
<v Speaker 3>things were in the decade leading up to the Affordable

0:33:07.240 --> 0:33:10.080
<v Speaker 3>Care Act, when more than fifteen percent of people did

0:33:10.080 --> 0:33:12.280
<v Speaker 3>not have health insurance. But this is still millions of

0:33:12.280 --> 0:33:13.200
<v Speaker 3>people who are at risk.

0:33:13.320 --> 0:33:15.520
<v Speaker 2>It's a lot of people in a very rich or

0:33:15.560 --> 0:33:18.880
<v Speaker 2>so we're told, wealthy country. So let's get to one

0:33:18.920 --> 0:33:22.400
<v Speaker 2>of the co authors, Amy Finkelstein. She is a professor

0:33:22.400 --> 0:33:25.600
<v Speaker 2>of economics at MIT, director of the Healthcare Program at

0:33:25.600 --> 0:33:27.920
<v Speaker 2>the National Bureau of Economic Research, and among other things,

0:33:27.960 --> 0:33:35.000
<v Speaker 2>a twenty eighteen MacArthur fellow. And actually get a genius grant. Correct, Yeah,

0:33:35.120 --> 0:33:35.640
<v Speaker 2>that's correct.

0:33:36.000 --> 0:33:37.640
<v Speaker 3>I don't know if the geniuses are supposed to call

0:33:37.680 --> 0:33:39.640
<v Speaker 3>them genius grants. That's for just us lay people.

0:33:39.680 --> 0:33:42.800
<v Speaker 2>Carrol, We're going to call you a geni. We've been

0:33:42.840 --> 0:33:45.880
<v Speaker 2>calling it teasing you up. She is on Zoom in

0:33:45.960 --> 0:33:47.600
<v Speaker 2>Cambridge on them.

0:33:47.800 --> 0:33:49.240
<v Speaker 3>Well, I got to tell you it's going to take

0:33:49.240 --> 0:33:51.320
<v Speaker 3>a genius to figure out healthcare in this country.

0:33:51.320 --> 0:33:53.120
<v Speaker 2>So we're lucky to have you help us. Help us

0:33:53.160 --> 0:33:54.760
<v Speaker 2>because you know, Tim and I talk with a lot

0:33:54.800 --> 0:33:57.080
<v Speaker 2>of folks and we talk about disruption, innovation, We've got

0:33:57.120 --> 0:34:00.000
<v Speaker 2>the metaphorse coming, we've got generative AI, all these wonderful

0:34:00.080 --> 0:34:03.160
<v Speaker 2>things coming at us, and yet it still feels like

0:34:03.960 --> 0:34:07.280
<v Speaker 2>in some ways healthcare is way behind the times. How

0:34:07.280 --> 0:34:08.719
<v Speaker 2>do you see it? How do you think about it?

0:34:08.960 --> 0:34:12.360
<v Speaker 12>Yeah, thanks a lot for having me on. I'd say,

0:34:12.719 --> 0:34:14.719
<v Speaker 12>you know, we didn't my co author Lauran and av

0:34:14.760 --> 0:34:18.040
<v Speaker 12>and I didn't go into this thinking about disruption, but

0:34:18.120 --> 0:34:21.160
<v Speaker 12>we concluded that it was the only solution. And part

0:34:21.200 --> 0:34:24.279
<v Speaker 12>of the reason is related to that fact that you

0:34:24.360 --> 0:34:27.520
<v Speaker 12>started with that thirty million Americans are one in ten

0:34:27.560 --> 0:34:31.239
<v Speaker 12>Americans under sixty five lack health insurance at any given moment.

0:34:31.600 --> 0:34:35.400
<v Speaker 12>That gets talked about endlessly, But a really, really important

0:34:35.440 --> 0:34:38.799
<v Speaker 12>statistic that gets very little coverage is the fact that

0:34:39.200 --> 0:34:42.400
<v Speaker 12>more than twice as many Americans, in fact, one in

0:34:42.560 --> 0:34:46.640
<v Speaker 12>four Americans under sixty five will have some period of

0:34:46.719 --> 0:34:48.360
<v Speaker 12>time without health insurance.

0:34:48.400 --> 0:34:49.279
<v Speaker 7>Coverage over a.

0:34:49.200 --> 0:34:53.120
<v Speaker 12>Two year period. In other words, health insurance, whose very

0:34:53.120 --> 0:34:56.160
<v Speaker 12>purpose is to be secure and certain, is in fact

0:34:56.239 --> 0:34:59.120
<v Speaker 12>highly uncertain. We all live if we are lucky enough

0:34:59.160 --> 0:35:01.880
<v Speaker 12>to have health insurance with the risk of losing.

0:35:01.520 --> 0:35:04.640
<v Speaker 3>That coverage is that because it's tied to our jobs.

0:35:05.560 --> 0:35:08.560
<v Speaker 12>For people with employer provided health insurance, that you know

0:35:08.640 --> 0:35:11.080
<v Speaker 12>half about half of the population that haves that Yes,

0:35:11.200 --> 0:35:15.680
<v Speaker 12>For people with publicly provided health insurance, the risk is

0:35:16.200 --> 0:35:19.759
<v Speaker 12>like Medicaid or Medicare for certain diseases, the risk is

0:35:19.800 --> 0:35:23.360
<v Speaker 12>you can lose your coverage if your income changes, or

0:35:23.400 --> 0:35:27.000
<v Speaker 12>you get older, or you have a disease specific coverage

0:35:27.040 --> 0:35:29.440
<v Speaker 12>program and you get cured of that disease, or and

0:35:29.480 --> 0:35:32.719
<v Speaker 12>this is kind of the most heartbreaking part, or you

0:35:32.760 --> 0:35:35.760
<v Speaker 12>can simply lose your coverage because you fail to realize

0:35:35.760 --> 0:35:37.920
<v Speaker 12>that you need it to file forms to demonstrate that

0:35:37.960 --> 0:35:41.439
<v Speaker 12>you're still eligible under some income category. And that's why

0:35:41.480 --> 0:35:46.560
<v Speaker 12>we realized further patches and incremental reform won't work. We

0:35:46.719 --> 0:35:50.000
<v Speaker 12>have to tear this down and start over. Because whenever

0:35:50.040 --> 0:35:53.440
<v Speaker 12>you have different pathways to eligibility and coverage through a

0:35:53.480 --> 0:35:56.440
<v Speaker 12>myriad of programs, you're going to have gaps at the themes,

0:35:56.440 --> 0:35:58.120
<v Speaker 12>and that's where people are falling through.

0:35:58.239 --> 0:36:01.000
<v Speaker 2>All right, So the professor Finglestein could wave your magic

0:36:01.080 --> 0:36:03.879
<v Speaker 2>wand and change one thing that you think would be

0:36:04.000 --> 0:36:07.080
<v Speaker 2>a game changer in terms of improving healthcare in the

0:36:07.160 --> 0:36:10.040
<v Speaker 2>United States. What would it be? I'm just curious, who

0:36:10.040 --> 0:36:12.120
<v Speaker 2>would you wave the magic wand over? Is it the

0:36:12.160 --> 0:36:14.720
<v Speaker 2>health insurance is Is it politicians?

0:36:14.840 --> 0:36:15.040
<v Speaker 9>Is it?

0:36:15.080 --> 0:36:15.160
<v Speaker 13>What?

0:36:15.840 --> 0:36:21.520
<v Speaker 12>To fix our coverage problem? We need automatic universal basic

0:36:21.640 --> 0:36:25.960
<v Speaker 12>coverage that's free for everyone, no patient payments, and then

0:36:26.320 --> 0:36:28.759
<v Speaker 12>the option to buy supplemental coverage if you want more

0:36:28.800 --> 0:36:29.480
<v Speaker 12>than the basic.

0:36:29.920 --> 0:36:32.680
<v Speaker 3>Is this sounds forgive me, I'm not sixty five, but

0:36:32.920 --> 0:36:36.719
<v Speaker 3>my parents are over sixty five, and this sounds like medicare.

0:36:37.320 --> 0:36:42.000
<v Speaker 12>It may sound like Medicare, it's not. Here's one very

0:36:42.040 --> 0:36:44.120
<v Speaker 12>important difference, and that I think a lot of the

0:36:44.120 --> 0:36:48.040
<v Speaker 12>proponents of Medicare for all don't realize that Medicare for

0:36:48.200 --> 0:36:52.480
<v Speaker 12>some is actually very very incomplete insurance. So, for example,

0:36:52.880 --> 0:36:56.400
<v Speaker 12>for doctor visits, people have to pay twenty percent of

0:36:56.440 --> 0:36:59.960
<v Speaker 12>the doctor bill out of their own pocket, with no limit,

0:37:00.200 --> 0:37:03.280
<v Speaker 12>no cap. So you can, if you're unfortunate enough to

0:37:03.320 --> 0:37:05.480
<v Speaker 12>be quite ill, you have cancer, say and you rack

0:37:05.560 --> 0:37:08.319
<v Speaker 12>up lots of physicians visits and bills. You can be

0:37:08.360 --> 0:37:11.400
<v Speaker 12>on the hook for tens of thousands of dollars that

0:37:11.440 --> 0:37:15.040
<v Speaker 12>you have to pay despite having coverage. A startling fact

0:37:15.160 --> 0:37:17.600
<v Speaker 12>is not only that there's enormous amounts of medical debt

0:37:17.600 --> 0:37:20.279
<v Speaker 12>in the United States, but that three fifths of that

0:37:20.600 --> 0:37:23.839
<v Speaker 12>is incurred by people who have health insurance. So in

0:37:23.880 --> 0:37:26.120
<v Speaker 12>that sense, our plan would be much better than the

0:37:26.160 --> 0:37:29.919
<v Speaker 12>current Medicare plan and there'd be no risk of having

0:37:29.960 --> 0:37:32.640
<v Speaker 12>to pay anything out of pocket. On the other hand,

0:37:33.160 --> 0:37:36.319
<v Speaker 12>because we are realists at least in the economic in

0:37:36.400 --> 0:37:40.000
<v Speaker 12>terms of the economics, we have that coverage be much

0:37:40.040 --> 0:37:42.960
<v Speaker 12>more basic than the current Medicare coverage. People are so

0:37:43.120 --> 0:37:46.759
<v Speaker 12>concerned about Medicare costs growing so fast and going through

0:37:46.800 --> 0:37:49.719
<v Speaker 12>the roof One reason they do that is because there's

0:37:49.920 --> 0:37:54.560
<v Speaker 12>no budget constraint on the system. Patients want care, physicians

0:37:54.560 --> 0:37:57.279
<v Speaker 12>are willing to provide it. There's no gatekeeper on the

0:37:57.320 --> 0:38:00.440
<v Speaker 12>back end saying no, maybe we need to, you know,

0:38:00.520 --> 0:38:02.640
<v Speaker 12>check to make sure you really need that CT scam

0:38:02.680 --> 0:38:04.839
<v Speaker 12>because you came in with a headache. So we would

0:38:04.880 --> 0:38:07.719
<v Speaker 12>have much more constraints on the nature of the care

0:38:07.840 --> 0:38:11.320
<v Speaker 12>that's provided, But anything that was provided would be completely free.

0:38:11.400 --> 0:38:13.759
<v Speaker 2>So how do we help you know, you know where

0:38:13.760 --> 0:38:17.319
<v Speaker 2>that gets to, like people making decisions about who gets what, like,

0:38:17.400 --> 0:38:20.600
<v Speaker 2>how do we make sure that is done in a

0:38:20.640 --> 0:38:21.240
<v Speaker 2>pure way.

0:38:22.480 --> 0:38:24.440
<v Speaker 12>That's a good question. So the first thing I want

0:38:24.480 --> 0:38:28.000
<v Speaker 12>to emphasize is that the whole point of a universal

0:38:28.040 --> 0:38:32.840
<v Speaker 12>basic health insurance system is to fulfill the social commitment

0:38:32.880 --> 0:38:35.359
<v Speaker 12>that we clearly have and it's revealed by all our

0:38:35.400 --> 0:38:39.879
<v Speaker 12>patchwork policies to provide essential medical care when people are ill,

0:38:39.960 --> 0:38:42.520
<v Speaker 12>regardless of their ability to pay for it. And so

0:38:42.600 --> 0:38:45.920
<v Speaker 12>the basic coverage has to cover what's medically essential, but

0:38:46.000 --> 0:38:48.480
<v Speaker 12>it doesn't have to cover things that we all might

0:38:48.680 --> 0:38:52.719
<v Speaker 12>like but that aren't actually essential medical care, such as

0:38:52.840 --> 0:38:55.600
<v Speaker 12>you know, so you can have longer wait times for

0:38:56.440 --> 0:39:01.600
<v Speaker 12>non urgent care, you can have a fewer fewer amenities

0:39:01.640 --> 0:39:04.520
<v Speaker 12>of the non medical part, you know, like more people

0:39:04.560 --> 0:39:07.120
<v Speaker 12>to a hospital room or and this is what other

0:39:07.200 --> 0:39:11.200
<v Speaker 12>countries do. Countries like Singapore or Australia, they provide universal

0:39:11.239 --> 0:39:13.879
<v Speaker 12>basic coverage, but if you want a private hospital room

0:39:14.200 --> 0:39:16.799
<v Speaker 12>or good hospital food, that's what you pay extra for.

0:39:16.920 --> 0:39:18.880
<v Speaker 2>I will say, like, there was one point my husband

0:39:19.239 --> 0:39:21.560
<v Speaker 2>got ill over in the UK and we were initially

0:39:21.600 --> 0:39:26.280
<v Speaker 2>in I guess their public system and right and yeah,

0:39:26.560 --> 0:39:28.120
<v Speaker 2>and it was a ton of people in a room

0:39:28.160 --> 0:39:29.720
<v Speaker 2>and you had to get up to get your own food.

0:39:30.560 --> 0:39:33.120
<v Speaker 2>It wasn't great, I'm going to be quite honest. And

0:39:33.480 --> 0:39:36.080
<v Speaker 2>he was with an employer who pulled him out and

0:39:36.320 --> 0:39:39.840
<v Speaker 2>put him over to a hospital that is was like

0:39:39.880 --> 0:39:43.600
<v Speaker 2>a nice hotel and you know, got a bunch of

0:39:43.640 --> 0:39:45.719
<v Speaker 2>tests that they could do as soon as he walked in.

0:39:46.960 --> 0:39:49.120
<v Speaker 2>Although we had to see the finance person. That was

0:39:49.160 --> 0:39:50.640
<v Speaker 2>the first person we saw to make sure that it

0:39:50.680 --> 0:39:52.040
<v Speaker 2>was going to be paid for. Like, it was just

0:39:52.160 --> 0:39:56.680
<v Speaker 2>such a contrast. And I guess, so I'm trying to understand,

0:39:57.400 --> 0:40:01.280
<v Speaker 2>you know, how we move forward and get to something

0:40:01.320 --> 0:40:04.800
<v Speaker 2>where more people are getting better care, and I'm wondering,

0:40:04.840 --> 0:40:05.840
<v Speaker 2>how do we pay for all of this?

0:40:06.760 --> 0:40:10.839
<v Speaker 12>So I think those are related questions. The example we

0:40:10.880 --> 0:40:13.960
<v Speaker 12>give in the book is, you know, how do we

0:40:14.040 --> 0:40:18.000
<v Speaker 12>fulfill our obligation obligations but without you know, all the

0:40:18.080 --> 0:40:21.000
<v Speaker 12>extra stuff. So your husband's example is a perfect one.

0:40:21.560 --> 0:40:24.520
<v Speaker 12>It's it's I can totally understand why you liked going

0:40:24.520 --> 0:40:27.319
<v Speaker 12>outside of the system more you had, you know, a

0:40:27.320 --> 0:40:30.960
<v Speaker 12>private room, more convenience, et cetera. But I think our

0:40:31.000 --> 0:40:35.120
<v Speaker 12>commitment as a society is not to provide everyone with luxury,

0:40:35.200 --> 0:40:37.960
<v Speaker 12>high end medical care, such as your husband was fortunate

0:40:38.040 --> 0:40:41.319
<v Speaker 12>to receive, but to provide essential medical care. And that's

0:40:41.360 --> 0:40:44.920
<v Speaker 12>also how we keep the price down. So if you

0:40:45.160 --> 0:40:47.080
<v Speaker 12>are fortunate enough to be able to afford it, and

0:40:47.120 --> 0:40:50.839
<v Speaker 12>you want to buy those extra amenities, that's great, but

0:40:50.880 --> 0:40:53.279
<v Speaker 12>that's not what we're committed to as a society. We're

0:40:53.320 --> 0:40:56.719
<v Speaker 12>not committed to providing a luxury experience. We're committed to

0:40:56.760 --> 0:40:59.680
<v Speaker 12>providing essential medical care. And as we discuss in the book,

0:40:59.800 --> 0:41:01.319
<v Speaker 12>that's also how we keep the price tag.

0:41:01.400 --> 0:41:01.839
<v Speaker 6>Guy great.

0:41:02.120 --> 0:41:04.960
<v Speaker 2>And I certainly wasn't arguing in favor of the other

0:41:05.000 --> 0:41:07.600
<v Speaker 2>because he wasn't fixed. He was basically just fixed enough

0:41:07.600 --> 0:41:08.840
<v Speaker 2>to get on a plan and come back home to

0:41:08.840 --> 0:41:11.760
<v Speaker 2>the United States. But it was just such a contrast,

0:41:11.800 --> 0:41:13.359
<v Speaker 2>and I was trying to get my head around, like,

0:41:13.880 --> 0:41:17.600
<v Speaker 2>how do we figure this out? Professor Finkelstein, don't go anywhere.

0:41:17.600 --> 0:41:19.480
<v Speaker 2>We want to continue this conversation. We are talking with

0:41:19.560 --> 0:41:22.440
<v Speaker 2>Amy Finkelstein. She is a co author of a new

0:41:22.440 --> 0:41:25.280
<v Speaker 2>book it's called We've Got You Covered, Rebooting American Healthcare.

0:41:25.560 --> 0:41:29.600
<v Speaker 2>Professor of Economics at MIT, and director of Healthcare Program

0:41:29.680 --> 0:41:31.960
<v Speaker 2>at the National Bureau of Economic Research. I mean, really

0:41:32.000 --> 0:41:34.440
<v Speaker 2>is coming at this from just checking all the boxes

0:41:34.640 --> 0:41:37.000
<v Speaker 2>of someone I think who needs to understand how to

0:41:37.040 --> 0:41:37.400
<v Speaker 2>fix this.

0:41:37.600 --> 0:41:39.239
<v Speaker 3>She's at the NBER. I wonder if she can tell

0:41:39.280 --> 0:41:40.240
<v Speaker 3>us if there's a recession.

0:41:40.760 --> 0:41:44.040
<v Speaker 2>That's our next question. Carol Masser along with Tim Stenovik

0:41:44.080 --> 0:41:46.560
<v Speaker 2>here on Bloomberg Business Week, and we want to get

0:41:46.560 --> 0:41:49.600
<v Speaker 2>back to Amy Finkelstein. She's co author We've Got You

0:41:49.640 --> 0:41:53.840
<v Speaker 2>Covered Rebooting American Healthcare, Professor of economics at MIT, director

0:41:53.880 --> 0:41:56.840
<v Speaker 2>of the Healthcare Program at the National Bureau of Economic Research.

0:41:57.200 --> 0:42:00.080
<v Speaker 2>And as we mentioned earlier at twenty eighteen, MacArthur fell

0:42:00.320 --> 0:42:03.440
<v Speaker 2>on Zoom in Cambridge. So do you know is it

0:42:03.440 --> 0:42:05.359
<v Speaker 2>a recession? Is a recession coming.

0:42:07.080 --> 0:42:08.200
<v Speaker 12>That? Acist?

0:42:08.520 --> 0:42:11.120
<v Speaker 3>We had a great Bloomberg story a few months ago.

0:42:11.400 --> 0:42:15.440
<v Speaker 3>Amy and the group of folks at the NBER were

0:42:15.440 --> 0:42:18.359
<v Speaker 3>described as eggheads, who are the ones who decide whether

0:42:18.440 --> 0:42:20.279
<v Speaker 3>or not we're in a recession. So I guess we'll

0:42:20.280 --> 0:42:23.480
<v Speaker 3>have to go to you for how we fix American healthcare.

0:42:23.840 --> 0:42:25.360
<v Speaker 7>What' just the egghead on health?

0:42:25.719 --> 0:42:28.320
<v Speaker 3>Hey, that's good enough for us. We appreciate that. What

0:42:28.520 --> 0:42:32.719
<v Speaker 3>is the one country that is doing this the best every.

0:42:32.719 --> 0:42:35.919
<v Speaker 12>High income country, but the US is doing it much

0:42:35.960 --> 0:42:38.279
<v Speaker 12>better than we are. None of them do are doing

0:42:38.320 --> 0:42:39.920
<v Speaker 12>it exactly as we propose.

0:42:40.200 --> 0:42:42.640
<v Speaker 3>Which one is closest not a fair question.

0:42:42.840 --> 0:42:45.480
<v Speaker 12>We're like some of them in some dimensions and like

0:42:45.520 --> 0:42:47.399
<v Speaker 12>others on others. What I can say that every other

0:42:47.480 --> 0:42:49.800
<v Speaker 12>high income country is doing, which is what we propose,

0:42:50.320 --> 0:42:55.759
<v Speaker 12>is automatic universal basic coverage and the option to supplement

0:42:55.920 --> 0:42:58.719
<v Speaker 12>or top it up if you want more. And the

0:42:58.760 --> 0:43:01.600
<v Speaker 12>third element, which is really key, a budget that is

0:43:01.680 --> 0:43:04.600
<v Speaker 12>enforced in terms of how much can be spent by

0:43:04.600 --> 0:43:07.880
<v Speaker 12>the taxpayer on healthcare. One thing that's shocking about the

0:43:08.000 --> 0:43:11.120
<v Speaker 12>US system is there is no healthcare budget in the

0:43:11.160 --> 0:43:14.040
<v Speaker 12>sense of what a budget really means. A budget constraint,

0:43:14.080 --> 0:43:16.799
<v Speaker 12>an amount that you can't spend beyond. When people talk

0:43:16.800 --> 0:43:20.000
<v Speaker 12>about the Medicare budget, they mean how much Medicare has

0:43:20.040 --> 0:43:23.640
<v Speaker 12>spent or will spend, not the cap on how much

0:43:23.640 --> 0:43:26.480
<v Speaker 12>it can spend. So we need to enforce a budget

0:43:26.719 --> 0:43:29.840
<v Speaker 12>and use that taxpayer money that we've allocated to provide

0:43:30.000 --> 0:43:34.520
<v Speaker 12>universal basic coverage. Now you ask which country we're like, Well,

0:43:34.840 --> 0:43:38.160
<v Speaker 12>in one dimension, we're very much like the UK and

0:43:38.239 --> 0:43:42.960
<v Speaker 12>Canada in having absolutely, no patient copays in the basic coverage.

0:43:43.200 --> 0:43:45.520
<v Speaker 12>No patients don't have to pay anything out of pocket.

0:43:45.760 --> 0:43:48.239
<v Speaker 12>On the other hand, in terms of the design of

0:43:48.239 --> 0:43:51.040
<v Speaker 12>the supplemental coverage, we very much don't want to do

0:43:51.080 --> 0:43:52.960
<v Speaker 12>it the way the UK does it, but we want

0:43:53.000 --> 0:43:55.880
<v Speaker 12>to do it the way say Singapore or Australia do it,

0:43:55.920 --> 0:43:58.839
<v Speaker 12>where you can just pay the extra cost to top

0:43:58.920 --> 0:44:01.719
<v Speaker 12>up upgrading, you know, to business class. You don't have

0:44:01.760 --> 0:44:04.680
<v Speaker 12>to repurchase the entire ticket to get a little extra

0:44:04.760 --> 0:44:06.800
<v Speaker 12>ligruy and just pay for the additional cost.

0:44:07.320 --> 0:44:12.160
<v Speaker 2>But doesn't that create again inequities because obviously not everybody

0:44:12.160 --> 0:44:14.799
<v Speaker 2>can can upspend if you will.

0:44:15.760 --> 0:44:20.160
<v Speaker 12>Absolutely, we you know, we see the key mission of

0:44:20.880 --> 0:44:23.880
<v Speaker 12>health care policy to make sure that everyone has access

0:44:23.920 --> 0:44:28.359
<v Speaker 12>to essential medical care, regardless of resources. And beyond that.

0:44:28.760 --> 0:44:32.840
<v Speaker 12>We tolerate inequality in you know, the supplemental and the

0:44:32.880 --> 0:44:36.400
<v Speaker 12>same way we tolerate inequality in other aspects of our society,

0:44:36.600 --> 0:44:39.719
<v Speaker 12>you know, housing, food, et cetera. Our proposals about a

0:44:39.760 --> 0:44:43.720
<v Speaker 12>floor not a ceiling. And one thing that's really important

0:44:43.760 --> 0:44:45.560
<v Speaker 12>to understand because I know that makes a lot of

0:44:45.560 --> 0:44:50.280
<v Speaker 12>people uncomfortable because however we feel about inequality in say clothing,

0:44:50.640 --> 0:44:53.800
<v Speaker 12>you know, many people feel rightly that the health is different,

0:44:53.840 --> 0:44:56.120
<v Speaker 12>that it occupies a, you know, a sort of special

0:44:56.160 --> 0:44:59.320
<v Speaker 12>place in our moral firmament. One of the things we

0:44:59.360 --> 0:45:01.200
<v Speaker 12>make very clear in the book is that there's an

0:45:01.360 --> 0:45:04.520
<v Speaker 12>enormous body of research that makes it clear that, as

0:45:04.560 --> 0:45:08.080
<v Speaker 12>counterintuitive as it may seem, if you're concerned, and you

0:45:08.120 --> 0:45:11.319
<v Speaker 12>should be about the shocking health disparities it exists in

0:45:11.320 --> 0:45:14.120
<v Speaker 12>the United States between high end low income, between black

0:45:14.120 --> 0:45:18.040
<v Speaker 12>and white, health insurance policy is simply not the lever

0:45:18.200 --> 0:45:21.200
<v Speaker 12>to lean on health insurance would make reform would have

0:45:21.320 --> 0:45:25.880
<v Speaker 12>little effect on those health disparities. And probably the clearest

0:45:25.880 --> 0:45:28.480
<v Speaker 12>way to see that is from work that some economists

0:45:28.520 --> 0:45:32.520
<v Speaker 12>have done ich In Chen Maria Poliakova and Petra Parson,

0:45:32.760 --> 0:45:34.919
<v Speaker 12>who shows it in a country like Sweden, And there's

0:45:34.960 --> 0:45:38.759
<v Speaker 12>other work showing this in Norway, despite universal health insurance

0:45:38.880 --> 0:45:43.520
<v Speaker 12>and cradle to the grave social safety net, the health

0:45:43.520 --> 0:45:48.600
<v Speaker 12>inequality across the income distribution is as large in say, Sweden,

0:45:48.640 --> 0:45:49.200
<v Speaker 12>as it is in.

0:45:49.120 --> 0:45:52.719
<v Speaker 3>The United Wow, that's surprising to hear. So, yeah, if

0:45:52.760 --> 0:45:55.560
<v Speaker 3>you look, I have two questions for you, one yes

0:45:55.680 --> 0:45:56.880
<v Speaker 3>or no. But you can also tell me it's not

0:45:56.920 --> 0:45:59.239
<v Speaker 3>a fair question. Do doctors in the US make too

0:45:59.280 --> 0:45:59.800
<v Speaker 3>much money?

0:46:01.560 --> 0:46:03.440
<v Speaker 12>It's not relevant to our proposal.

0:46:03.719 --> 0:46:05.640
<v Speaker 3>So that's my next question. When you look at the

0:46:06.000 --> 0:46:09.120
<v Speaker 3>when you look at the value chain across patient access,

0:46:09.160 --> 0:46:11.839
<v Speaker 3>and you know you hear the stat thrown around all

0:46:11.840 --> 0:46:13.840
<v Speaker 3>the time that you know, a fifth of our GDP

0:46:14.040 --> 0:46:17.759
<v Speaker 3>goes to healthcare costs. Where is that money going? Who

0:46:17.840 --> 0:46:19.520
<v Speaker 3>is getting that money? Who doesn't deserve it.

0:46:21.960 --> 0:46:25.400
<v Speaker 12>One of the key things about our proposal is to

0:46:25.520 --> 0:46:28.839
<v Speaker 12>realize that you can separate the question of how do

0:46:28.880 --> 0:46:31.360
<v Speaker 12>we make sure that everyone has access to es central

0:46:31.400 --> 0:46:35.320
<v Speaker 12>medical care regardless of resources, from the very hard questions

0:46:35.320 --> 0:46:40.160
<v Speaker 12>that you're raising about how to fix you know, healthcare spending,

0:46:40.200 --> 0:46:42.240
<v Speaker 12>how to make sure that we can you know, spend

0:46:42.320 --> 0:46:45.759
<v Speaker 12>less and still achieve good outcomes. The coverage problem turns

0:46:45.760 --> 0:46:47.439
<v Speaker 12>out to be a really easy one. As I said,

0:46:47.480 --> 0:46:50.400
<v Speaker 12>basically every other high income country has done it. The

0:46:50.680 --> 0:46:53.160
<v Speaker 12>question you're asking, which is a good question, is one

0:46:53.200 --> 0:46:55.359
<v Speaker 12>that no one knows the answer to, and I don't

0:46:55.400 --> 0:46:59.200
<v Speaker 12>care what they're claiming. It's a very very hard problem.

0:46:59.440 --> 0:47:02.319
<v Speaker 12>But the way we can afford it is to realize that, yes,

0:47:02.400 --> 0:47:04.880
<v Speaker 12>that statistic you said is right. We spend twice as

0:47:04.960 --> 0:47:07.640
<v Speaker 12>much as any other country on healthcare fifth of our

0:47:07.640 --> 0:47:10.520
<v Speaker 12>economy as a share of the economy, but only half

0:47:10.560 --> 0:47:14.000
<v Speaker 12>of that is publicly funded. So taxpayer dollars in the

0:47:14.120 --> 0:47:17.720
<v Speaker 12>US are not more than in other countries. We're already

0:47:17.760 --> 0:47:20.799
<v Speaker 12>paying for universal coverage through the tax system. We're just

0:47:20.840 --> 0:47:21.680
<v Speaker 12>not getting it all.

0:47:21.680 --> 0:47:23.560
<v Speaker 2>Right, So just got about a minute left here, so

0:47:24.160 --> 0:47:27.640
<v Speaker 2>forgive me, and I'm just maybe a little brain day,

0:47:28.600 --> 0:47:33.560
<v Speaker 2>But I mean, so, what's the step one towards what

0:47:33.600 --> 0:47:37.719
<v Speaker 2>you are talking about? What would we have to change?

0:47:38.680 --> 0:47:39.279
<v Speaker 2>What is it?

0:47:40.040 --> 0:47:43.120
<v Speaker 12>We'd have to completely tear down the current system and

0:47:43.200 --> 0:47:47.040
<v Speaker 12>build system in quotations, the current patchwork of policies we

0:47:47.080 --> 0:47:50.400
<v Speaker 12>have in place and actually design and build a coherent,

0:47:50.800 --> 0:47:52.320
<v Speaker 12>automatic universal.

0:47:51.920 --> 0:47:55.879
<v Speaker 2>Basically, how does that start? Is it politics? Is it politicians?

0:47:56.000 --> 0:47:57.920
<v Speaker 2>Is it the private sector? How do we start?

0:47:58.960 --> 0:48:00.000
<v Speaker 7>It's public policies?

0:48:00.040 --> 0:48:02.480
<v Speaker 12>So, yes, we need it, we need it. We're waiting

0:48:02.520 --> 0:48:04.800
<v Speaker 12>for the first, you know, would be presidential candidate to

0:48:04.840 --> 0:48:07.160
<v Speaker 12>sign on board for our plan. The book just came

0:48:07.200 --> 0:48:08.800
<v Speaker 12>out today, so you know, I'm willing to give it

0:48:08.840 --> 0:48:09.439
<v Speaker 12>a week or two.

0:48:10.160 --> 0:48:11.920
<v Speaker 2>I guess what, you know, and listen, I wish we

0:48:12.000 --> 0:48:15.080
<v Speaker 2>had more time because this is a really I think difficult.

0:48:15.239 --> 0:48:17.200
<v Speaker 2>I always feel like health care and education, these are

0:48:17.200 --> 0:48:20.120
<v Speaker 2>the two things that really need some disruption to happen

0:48:20.120 --> 0:48:22.160
<v Speaker 2>in But healthcare, I feel like there's so much money

0:48:22.200 --> 0:48:26.960
<v Speaker 2>in it. You know that it complicates it?

0:48:27.000 --> 0:48:27.480
<v Speaker 11>Is that fair?

0:48:27.520 --> 0:48:30.160
<v Speaker 2>I just got about fifteen seconds. It complicates it, right.

0:48:31.000 --> 0:48:33.359
<v Speaker 12>It does. But once we agree on the solution, then

0:48:33.360 --> 0:48:35.799
<v Speaker 12>we can start trying to figure out how to achieve it.

0:48:35.840 --> 0:48:37.080
<v Speaker 2>I got to say, I love a book that says

0:48:37.080 --> 0:48:39.239
<v Speaker 2>more than fifty shades of gray, but it has to

0:48:39.360 --> 0:48:43.399
<v Speaker 2>do what's going to be considered, you know, kind of

0:48:44.160 --> 0:48:48.840
<v Speaker 2>basic coverage, right, what things go? Fertility treatments is it basic?

0:48:49.120 --> 0:48:53.799
<v Speaker 2>I don't know, physical therapy anyway. Amy Finkelstein, incredible. Check

0:48:53.800 --> 0:48:54.239
<v Speaker 2>out the book.

0:48:54.239 --> 0:48:58.279
<v Speaker 1>Everybody, you're listening to the Bloomberg Business Week podcast cat

0:48:58.440 --> 0:49:02.040
<v Speaker 1>just live weekday afternoons from three to six Eastern Listen.

0:49:01.840 --> 0:49:04.839
<v Speaker 5>On Bloomberg dot com, the iHeartRadio app, and the.

0:49:04.800 --> 0:49:08.000
<v Speaker 1>Bloomberg Business App, or watch us live on YouTube.

0:49:08.840 --> 0:49:10.440
<v Speaker 2>All right, we're going to talk a little bit about

0:49:11.239 --> 0:49:17.600
<v Speaker 2>those who work specifically at Amazon their fulfillment centers, because

0:49:18.080 --> 0:49:20.520
<v Speaker 2>it is a subject of a story that's in the

0:49:20.600 --> 0:49:23.400
<v Speaker 2>upcoming new issue of Bloomberg BusinessWeek, And you got to

0:49:23.480 --> 0:49:25.279
<v Speaker 2>keep in mind that coming up this month there are

0:49:25.360 --> 0:49:29.920
<v Speaker 2>hearings into Amazon's labor practices in Washington State, just the

0:49:29.960 --> 0:49:33.720
<v Speaker 2>beginning of a widening government crackdown on the company's safety record.

0:49:33.760 --> 0:49:37.239
<v Speaker 2>That I guess many would argue, Matt, that they are

0:49:37.280 --> 0:49:41.000
<v Speaker 2>the most intrusive scrutiny in the company's history, that is,

0:49:41.120 --> 0:49:43.960
<v Speaker 2>the investigation into them.

0:49:44.360 --> 0:49:48.799
<v Speaker 11>So you mean that they are monitoring these employees with

0:49:49.360 --> 0:49:54.680
<v Speaker 11>cameras and electronic devices, really watching what they were doing

0:49:55.600 --> 0:50:00.359
<v Speaker 11>to see how difficult a job it can be at

0:50:00.400 --> 0:50:03.800
<v Speaker 11>an Amazon fulfillment fulfillment center sounds like such.

0:50:03.600 --> 0:50:05.200
<v Speaker 2>A we're fulfilling.

0:50:05.280 --> 0:50:08.919
<v Speaker 11>I'm trashing that term. Come on, it's a warehouse, all marketing.

0:50:08.600 --> 0:50:13.600
<v Speaker 2>It's all marketing, data, democratization, right, finances? All right, So

0:50:13.680 --> 0:50:15.600
<v Speaker 2>let's get to the two reporters who wrote it. This story,

0:50:15.640 --> 0:50:17.320
<v Speaker 2>as we said, featured in the upcoming new issue of

0:50:17.320 --> 0:50:20.600
<v Speaker 2>Bloomberg Business Week on newsstands later this week, already online

0:50:20.600 --> 0:50:22.600
<v Speaker 2>at Bloomberg dot com, slash BusinessWeek, and of course on

0:50:22.640 --> 0:50:24.600
<v Speaker 2>the Bloomberg terminal. So let's get to it with Bloomberg

0:50:24.640 --> 0:50:27.600
<v Speaker 2>News Technology and e Commerce reporter Spencer Soper on the

0:50:27.640 --> 0:50:30.840
<v Speaker 2>phone in Seattle and Josh Idelson, labor reporter at Bloomberg

0:50:30.920 --> 0:50:33.920
<v Speaker 2>News on Zoom in San Francisco. Spencer, let me kick

0:50:33.920 --> 0:50:35.759
<v Speaker 2>it off with you, because you take us back. You

0:50:35.880 --> 0:50:39.040
<v Speaker 2>kick off the story and take us to December twenty

0:50:39.120 --> 0:50:41.560
<v Speaker 2>twenty one. Tell us a little bit about what was

0:50:41.600 --> 0:50:42.000
<v Speaker 2>going on.

0:50:43.640 --> 0:50:48.480
<v Speaker 13>Yeah, so that's when state inspectors and so these will

0:50:48.520 --> 0:50:51.320
<v Speaker 13>be people with Washington State Department of Labor and Industry,

0:50:52.400 --> 0:50:56.600
<v Speaker 13>based on some concerns, including media reports about warehouse injuries

0:50:56.640 --> 0:50:59.880
<v Speaker 13>as well as the injury rate at the facility itself,

0:51:01.080 --> 0:51:05.000
<v Speaker 13>entered and looked around and in a huge little investigation,

0:51:05.160 --> 0:51:08.399
<v Speaker 13>they'll bring cameras and survey the workplace. And ordinarily these

0:51:08.400 --> 0:51:11.239
<v Speaker 13>things don't even escalate to this point of contention. It's

0:51:11.280 --> 0:51:14.600
<v Speaker 13>more like a cooperative thing where an employer wants to

0:51:14.600 --> 0:51:17.080
<v Speaker 13>know how to solve injuries. But in this case, they

0:51:17.080 --> 0:51:19.680
<v Speaker 13>actually had a court order to enter the warehouse in

0:51:19.719 --> 0:51:24.399
<v Speaker 13>Amazon's home state of Washington. Use electronic devices to put

0:51:24.440 --> 0:51:27.080
<v Speaker 13>on workers and measure all kinds of things like how

0:51:27.120 --> 0:51:31.320
<v Speaker 13>frequently they stoop and bend and twist, and calculate the

0:51:32.239 --> 0:51:35.959
<v Speaker 13>rates that they're performing lifts every minute or every hour,

0:51:36.840 --> 0:51:42.240
<v Speaker 13>and basically just surveying this workplace for ergonomic risk because

0:51:42.239 --> 0:51:45.600
<v Speaker 13>they're trying to find out and answer questions what can

0:51:45.640 --> 0:51:49.280
<v Speaker 13>be done. There's a high level of injury in this workplace.

0:51:49.880 --> 0:51:51.680
<v Speaker 13>What can we do to make it safer?

0:51:52.120 --> 0:51:55.040
<v Speaker 11>Yeah, I mean, I've been in a lot of car

0:51:55.800 --> 0:51:59.759
<v Speaker 11>factories and you'll always see signs that say, like, you know,

0:52:00.239 --> 0:52:03.520
<v Speaker 11>sixteen days without an injury, right, and they count higher

0:52:03.560 --> 0:52:07.960
<v Speaker 11>and hire. But at Amazon warehouses, nearly one hundred people

0:52:07.960 --> 0:52:09.759
<v Speaker 11>are injured every single day.

0:52:10.000 --> 0:52:10.439
<v Speaker 2>That's a lot.

0:52:10.520 --> 0:52:12.800
<v Speaker 11>And Josh, it doesn't make much sense to me from

0:52:12.800 --> 0:52:17.000
<v Speaker 11>the business perspective. Don't they want to keep their staff

0:52:18.000 --> 0:52:21.560
<v Speaker 11>from getting injured, because if you hurt yourself on the job,

0:52:21.640 --> 0:52:23.680
<v Speaker 11>then you're out not for like a day or two,

0:52:23.800 --> 0:52:24.879
<v Speaker 11>but for a month or two.

0:52:26.560 --> 0:52:29.879
<v Speaker 14>Well, Amazon, of course says that they are working hard

0:52:29.920 --> 0:52:34.200
<v Speaker 14>to prevent their staff from being injured. We talk to people,

0:52:34.239 --> 0:52:38.760
<v Speaker 14>including one of the ergonomists from the state of Washington

0:52:38.800 --> 0:52:43.960
<v Speaker 14>who's testifying in this proceeding, and a warehouse safety equipment

0:52:44.080 --> 0:52:48.160
<v Speaker 14>makers director who argue that there are things the company

0:52:48.200 --> 0:52:50.560
<v Speaker 14>could be doing and it's not doing. And as you

0:52:50.640 --> 0:52:53.840
<v Speaker 14>say that those would save the company money. It costs

0:52:53.960 --> 0:52:57.920
<v Speaker 14>money to have people out injured. It costs money to

0:52:57.960 --> 0:53:02.319
<v Speaker 14>bring in new employees. Now, the measures that are being

0:53:02.520 --> 0:53:06.560
<v Speaker 14>urged by Washington State would also cost the company money,

0:53:06.719 --> 0:53:11.560
<v Speaker 14>both because of operational changes and because fundamentally, this case

0:53:11.600 --> 0:53:14.240
<v Speaker 14>in Washington State is partly about the pace of work,

0:53:14.320 --> 0:53:17.480
<v Speaker 14>an issue that has dogged Amazon for years now, This

0:53:17.680 --> 0:53:21.680
<v Speaker 14>question of how much the company expects workers to do

0:53:22.000 --> 0:53:26.440
<v Speaker 14>in an hour and how that expectation impacts the likelihood

0:53:26.480 --> 0:53:27.560
<v Speaker 14>of getting hurt.

0:53:28.400 --> 0:53:30.359
<v Speaker 2>Well, this goes to the core right there. But their

0:53:30.440 --> 0:53:33.440
<v Speaker 2>business model is really on trial, is what you guys

0:53:33.520 --> 0:53:35.879
<v Speaker 2>report about. And Spencer, I mean so much we talked

0:53:35.880 --> 0:53:38.480
<v Speaker 2>about all the time. We've all gotten used to I

0:53:38.640 --> 0:53:40.400
<v Speaker 2>order and I get the next day or get it

0:53:40.400 --> 0:53:42.360
<v Speaker 2>in two days, like we just all expect that. But

0:53:42.719 --> 0:53:46.279
<v Speaker 2>that puts a lot of pressure right on Amazon workers

0:53:46.360 --> 0:53:47.799
<v Speaker 2>to really churn stuff out.

0:53:49.280 --> 0:53:53.520
<v Speaker 13>Yeah, and so there's a variety of jobs and tasks

0:53:53.760 --> 0:53:56.319
<v Speaker 13>right and Amazon it's tough to get them to pin

0:53:56.440 --> 0:53:59.120
<v Speaker 13>down a specific quota because I say, it kind of

0:53:59.160 --> 0:54:02.080
<v Speaker 13>moves around depending on how people are performing in their

0:54:02.120 --> 0:54:04.960
<v Speaker 13>own operations and stuff. But what's coming out and what

0:54:05.040 --> 0:54:09.000
<v Speaker 13>Amazon is acknowledging is saying, listen, if someone's in our

0:54:09.040 --> 0:54:12.600
<v Speaker 13>warehouse performing a job, and their pace of work is

0:54:13.239 --> 0:54:17.160
<v Speaker 13>you know, below ninety five percent of what their peers

0:54:17.200 --> 0:54:20.000
<v Speaker 13>are doing. That you know, that's the only thing that's

0:54:20.040 --> 0:54:22.960
<v Speaker 13>going to trigger them getting spoken to. And what the

0:54:22.960 --> 0:54:26.440
<v Speaker 13>state is saying is like, listen, that's a little bit

0:54:26.480 --> 0:54:30.560
<v Speaker 13>too tight of a work expectation because you have pretty

0:54:30.600 --> 0:54:36.120
<v Speaker 13>broad difference in the physical capabilities and the stamina of

0:54:36.680 --> 0:54:39.160
<v Speaker 13>a workforce. You know, that's going to range from kids

0:54:39.160 --> 0:54:41.960
<v Speaker 13>fresh out of high school, you know, to people in

0:54:41.960 --> 0:54:49.960
<v Speaker 13>their fifties and sixties. So it's basically their operation is

0:54:49.520 --> 0:54:54.120
<v Speaker 13>on trial, and the main question is is it safe?

0:54:54.160 --> 0:54:56.279
<v Speaker 13>And if the answer to that is no, how can

0:54:56.320 --> 0:54:58.240
<v Speaker 13>it be how can it be made more safe?

0:54:58.400 --> 0:54:58.520
<v Speaker 10>Well?

0:54:58.520 --> 0:55:01.359
<v Speaker 11>And they found that they're not safe in a lot

0:55:01.440 --> 0:55:04.040
<v Speaker 11>in a lot of these cases, right. And by the way,

0:55:04.440 --> 0:55:09.920
<v Speaker 11>they use extremely high tech gear to monitor the workers.

0:55:11.040 --> 0:55:14.400
<v Speaker 11>I guess they have a Dutch company x Sense technology

0:55:15.320 --> 0:55:18.360
<v Speaker 11>that that makes these motion sensors that they were putting

0:55:18.360 --> 0:55:23.919
<v Speaker 11>on Amazon employees arms or legs or whatever. I thought

0:55:23.960 --> 0:55:26.239
<v Speaker 11>they were gonna start using gear like that to help

0:55:26.280 --> 0:55:29.160
<v Speaker 11>these workers do their jobs. Like ten years ago, I

0:55:29.200 --> 0:55:31.560
<v Speaker 11>did a piece about robotics that would help you at

0:55:31.600 --> 0:55:35.279
<v Speaker 11>a Mason, Right, yeah, Josh, do they not have this

0:55:35.400 --> 0:55:38.840
<v Speaker 11>kind of tech or Spencer, I mean, are they putting

0:55:38.960 --> 0:55:43.200
<v Speaker 11>is Amazon putting any you know, mechanical helpers in place.

0:55:44.040 --> 0:55:45.439
<v Speaker 11>I don't know which one of you is a better

0:55:45.440 --> 0:55:47.799
<v Speaker 11>person to ask for these for these questions. Oh right, Josh,

0:55:47.840 --> 0:55:48.359
<v Speaker 11>I'll go with you.

0:55:50.480 --> 0:55:53.360
<v Speaker 14>I would defer to Spencer on what the Okay, we'll.

0:55:53.239 --> 0:55:53.880
<v Speaker 11>Go with Spencer.

0:55:54.080 --> 0:55:58.919
<v Speaker 13>Spencer, Spencer, Yeah, yeah, I can answer that. And so, yes,

0:55:58.960 --> 0:56:02.279
<v Speaker 13>there are there's a lot of automation within Amazon warehouses,

0:56:02.600 --> 0:56:05.400
<v Speaker 13>and a lot of it is just focused on pushing

0:56:05.440 --> 0:56:08.319
<v Speaker 13>product through the facility as quickly as possible. They have

0:56:08.440 --> 0:56:11.680
<v Speaker 13>robots that shuffle things around. You're a worker, you might

0:56:11.719 --> 0:56:14.240
<v Speaker 13>be if you're a picker, which is someone who's actually

0:56:14.560 --> 0:56:17.719
<v Speaker 13>you know, you ordered a toothbrush on Amazon. I'm a picker.

0:56:17.760 --> 0:56:19.880
<v Speaker 13>I'm going to be the one who actually retrieves that

0:56:19.920 --> 0:56:22.960
<v Speaker 13>from a bin. A robot will bring that bin to

0:56:23.080 --> 0:56:25.640
<v Speaker 13>me and I will retrieve that item that you've ordered.

0:56:25.960 --> 0:56:29.080
<v Speaker 13>So there are robots and automation in there, but there's

0:56:29.080 --> 0:56:31.480
<v Speaker 13>still extra things, and some of it is very simple.

0:56:31.800 --> 0:56:34.640
<v Speaker 13>Like so, the hearings actually began today and I've been

0:56:34.680 --> 0:56:37.080
<v Speaker 13>watching them, and one thing coming up is, hey, they've

0:56:37.120 --> 0:56:40.040
<v Speaker 13>got they've got step ladders, which help people if they're

0:56:40.040 --> 0:56:42.920
<v Speaker 13>going to minimize like reaching over your head, which is

0:56:42.960 --> 0:56:45.360
<v Speaker 13>a very serious hazard if you're reaching a high above

0:56:45.360 --> 0:56:49.360
<v Speaker 13>your head to grab a box. But the step ladders

0:56:49.360 --> 0:56:51.920
<v Speaker 13>they're using aren't tall enough. They need to be taller.

0:56:52.160 --> 0:56:54.279
<v Speaker 13>So some of these things are very aren't high tech

0:56:54.320 --> 0:56:59.320
<v Speaker 13>at all, fairly simple solutions and also just rotating workers

0:56:59.360 --> 0:57:02.520
<v Speaker 13>through different jobs. And the state inspector who is testifying

0:57:02.520 --> 0:57:06.120
<v Speaker 13>today said he found no schedule of an actual rotation

0:57:06.560 --> 0:57:08.240
<v Speaker 13>and that it just seemed to be kind of willy nilly,

0:57:08.600 --> 0:57:12.360
<v Speaker 13>you know. So again, it's not necessarily high tech solutions.

0:57:12.400 --> 0:57:14.880
<v Speaker 13>Some of them are. Some of them require investment, but

0:57:14.960 --> 0:57:18.440
<v Speaker 13>some are pretty simple, things like step letterers and shifting

0:57:18.440 --> 0:57:19.479
<v Speaker 13>people through different roles.

0:57:19.560 --> 0:57:21.160
<v Speaker 2>Well, and you get into some of the different roles,

0:57:21.200 --> 0:57:25.680
<v Speaker 2>the stuffers, fluid loaders, those who place outbound packages onto trucks,

0:57:25.720 --> 0:57:28.520
<v Speaker 2>the stuffers who unload boxes from trucks. I mean, some

0:57:28.600 --> 0:57:31.720
<v Speaker 2>of this is repetitive. It's probably pretty heavy one way.

0:57:31.640 --> 0:57:34.640
<v Speaker 11>A mandatory overtime. By the way, don't forget right that

0:57:34.720 --> 0:57:36.720
<v Speaker 11>they're not these are not eight hour no right.

0:57:36.760 --> 0:57:39.160
<v Speaker 2>They might go really long. What I want to ask you, though,

0:57:39.280 --> 0:57:44.120
<v Speaker 2>josh is has the law not kept up with kind

0:57:44.160 --> 0:57:47.640
<v Speaker 2>of the way how we work has evolved. I mean,

0:57:47.680 --> 0:57:50.080
<v Speaker 2>first of all, we've had assembly lines for a long time.

0:57:50.240 --> 0:57:53.000
<v Speaker 2>This is a different type of assembly line, if you will.

0:57:53.200 --> 0:57:55.959
<v Speaker 2>But I'm just wondering what the law has said, labor law.

0:57:57.080 --> 0:57:57.360
<v Speaker 7>Well.

0:57:57.480 --> 0:58:00.000
<v Speaker 14>One of the things that's interesting about this case is

0:57:59.840 --> 0:58:03.040
<v Speaker 14>in several decades, it's one of the only times that

0:58:03.120 --> 0:58:08.320
<v Speaker 14>there's a trial about ergonomic issues, and there is no

0:58:08.680 --> 0:58:13.240
<v Speaker 14>really specific federal ergonomic standard, which is not something.

0:58:12.960 --> 0:58:13.760
<v Speaker 7>No one has thought of.

0:58:13.920 --> 0:58:17.760
<v Speaker 14>In fact, there were efforts in parallel a couple decades

0:58:17.800 --> 0:58:21.600
<v Speaker 14>ago in Washington State and at the federal level there

0:58:21.680 --> 0:58:25.520
<v Speaker 14>were what would have been ergonomic rules put in place,

0:58:25.600 --> 0:58:29.800
<v Speaker 14>which then were swept away quickly because at the federal level,

0:58:30.280 --> 0:58:35.240
<v Speaker 14>when George W. Bush won the two thousand election, the

0:58:35.320 --> 0:58:39.440
<v Speaker 14>Republicans in Congress and President Bush used the Congressional Review

0:58:39.480 --> 0:58:43.280
<v Speaker 14>Act to undo Clinton's new ergonomic rules. In inl on

0:58:43.440 --> 0:58:46.760
<v Speaker 14>Washington State, there was actually a voter referendum to undo

0:58:46.920 --> 0:58:51.280
<v Speaker 14>ergonomics rules. That means that instead, at the state and

0:58:51.360 --> 0:58:54.880
<v Speaker 14>federal level, the enforcers are stuck using what's called the

0:58:55.000 --> 0:58:58.320
<v Speaker 14>General Duty Clause in federal law, which is a more

0:58:58.400 --> 0:59:04.560
<v Speaker 14>general requirement that the employer avoid hazards that are known

0:59:04.720 --> 0:59:08.840
<v Speaker 14>and could cause serious harm. Of course, there's tremendous debate

0:59:09.040 --> 0:59:13.240
<v Speaker 14>about what would count as such a violation, and we're

0:59:13.280 --> 0:59:16.640
<v Speaker 14>going to see that play out in Washington State in

0:59:16.680 --> 0:59:18.680
<v Speaker 14>this trial over the coming days.

0:59:19.160 --> 0:59:21.760
<v Speaker 11>You know, it's interesting they had one of the senators

0:59:21.880 --> 0:59:25.000
<v Speaker 11>quoted in the story says that she I think it

0:59:25.040 --> 0:59:27.280
<v Speaker 11>was a She is one of those people who loves

0:59:27.280 --> 0:59:29.560
<v Speaker 11>getting her box the next day, right, right, and now

0:59:29.600 --> 0:59:34.760
<v Speaker 11>she feels guilty. But that's still achievable. It would seem

0:59:34.840 --> 0:59:38.520
<v Speaker 11>to me, you just don't make one person, you know,

0:59:39.760 --> 0:59:45.040
<v Speaker 11>pack two hundred boxes, you know, for twelve hours a day. So, Spencer,

0:59:45.120 --> 0:59:47.600
<v Speaker 11>did you look at that, like if it's possible for

0:59:47.640 --> 0:59:51.560
<v Speaker 11>Amazon to still achieve the same end with just you know,

0:59:51.640 --> 0:59:56.479
<v Speaker 11>maybe more employees or more centers, or is the only

0:59:56.520 --> 0:59:58.360
<v Speaker 11>answer to slow things down a little bit?

0:59:59.600 --> 1:00:03.880
<v Speaker 13>Yeah, it's a it's a critical question, and I don't know,

1:00:04.320 --> 1:00:08.960
<v Speaker 13>because the bottom line is Amazon basically has made you know,

1:00:09.000 --> 1:00:12.320
<v Speaker 13>think about this. You used to drive to the store yourself,

1:00:13.040 --> 1:00:16.240
<v Speaker 13>You used to walk yourself to the aisle to get

1:00:16.280 --> 1:00:18.640
<v Speaker 13>the item. You needed, you would walk that aisle to

1:00:18.680 --> 1:00:21.120
<v Speaker 13>a cash register, you would pay someone for that item,

1:00:21.160 --> 1:00:24.439
<v Speaker 13>you would drive it home. Right, So basically stores were

1:00:24.440 --> 1:00:27.120
<v Speaker 13>relying kind of meeting you half way to get you

1:00:27.200 --> 1:00:31.000
<v Speaker 13>the product. Amazon is doing you know, all of that,

1:00:31.200 --> 1:00:33.880
<v Speaker 13>saving you that trip to the store. They're using you know,

1:00:34.440 --> 1:00:38.480
<v Speaker 13>another worker, paying them gas, you know, paying you know,

1:00:38.520 --> 1:00:40.600
<v Speaker 13>the gas for the vehicle, the trip to your house,

1:00:40.880 --> 1:00:42.840
<v Speaker 13>all that stuff, and doing it at a price that's

1:00:42.880 --> 1:00:46.760
<v Speaker 13>competitive of you going to a store that's very difficult

1:00:46.800 --> 1:00:49.080
<v Speaker 13>to pull off. And if you start turning knobs and

1:00:49.120 --> 1:00:54.200
<v Speaker 13>increasing costs, this thing could could unravel. So that's that

1:00:54.280 --> 1:00:57.240
<v Speaker 13>is that is the critical question. Can this business be

1:00:57.440 --> 1:01:00.520
<v Speaker 13>done in a way that is comparable to to going

1:01:00.520 --> 1:01:03.480
<v Speaker 13>to the store at the same cost or is it

1:01:03.520 --> 1:01:05.200
<v Speaker 13>more of like a boutique service that you're gonna have

1:01:05.200 --> 1:01:07.480
<v Speaker 13>to pay a little extra forcuse just because the cost

1:01:07.560 --> 1:01:08.960
<v Speaker 13>of doing it safely is higher.

1:01:09.520 --> 1:01:13.280
<v Speaker 2>Hey, real quickly, Josh, how quickly or how long is

1:01:13.280 --> 1:01:17.000
<v Speaker 2>this trial expected to last? Just got about twenty five seconds.

1:01:17.080 --> 1:01:22.000
<v Speaker 14>So the trial will be going on for weeks and

1:01:22.040 --> 1:01:24.840
<v Speaker 14>then there is a potential appeals process that could drag

1:01:24.920 --> 1:01:26.480
<v Speaker 14>this on far into the future.

1:01:26.720 --> 1:01:28.439
<v Speaker 2>All Right, so we'll be talking about it for a while.

1:01:28.440 --> 1:01:30.680
<v Speaker 2>All right, guys, thank you so much. Bloomberg News Technology

1:01:30.680 --> 1:01:33.520
<v Speaker 2>and e commerce reporter Spencer Soaper joining us on the

1:01:33.560 --> 1:01:36.200
<v Speaker 2>phone in Seattle. Josh Iidlson, labor reporter at Bloomberg News

1:01:36.200 --> 1:01:38.640
<v Speaker 2>on Zoom in San Francisco. As we said this story

1:01:38.680 --> 1:01:40.680
<v Speaker 2>in the upcoming new issue Bloomberg Business Week, I do

1:01:40.720 --> 1:01:42.520
<v Speaker 2>wonder Matt, like, do they have to rethink their business

1:01:42.560 --> 1:01:45.080
<v Speaker 2>model and start to say, well, maybe take long what.

1:01:45.320 --> 1:01:48.800
<v Speaker 11>Or should we pay more if we want, you know,

1:01:48.920 --> 1:01:50.360
<v Speaker 11>instant fulfillment?

1:01:51.040 --> 1:01:52.720
<v Speaker 2>We used to, but we used to do that. Think

1:01:52.720 --> 1:01:55.080
<v Speaker 2>about it, if you wanted something right away or overnight, like

1:01:55.120 --> 1:01:56.520
<v Speaker 2>you would have to pay a company.

1:01:56.760 --> 1:01:59.080
<v Speaker 11>I still do, I think I think you do more

1:01:59.160 --> 1:02:01.960
<v Speaker 11>and more often. I was just ordering, for example, cricket

1:02:02.000 --> 1:02:04.840
<v Speaker 11>shirts out of Austin, Texas, and they have a more

1:02:05.080 --> 1:02:06.920
<v Speaker 11>normal like it takes a week or two for the

1:02:06.960 --> 1:02:08.600
<v Speaker 11>shirts to get to you. If you want a faster

1:02:09.000 --> 1:02:11.000
<v Speaker 11>you pay an extra twenty or thirty dollars. And I

1:02:11.040 --> 1:02:13.280
<v Speaker 11>think a lot more companies are going back to that

1:02:13.440 --> 1:02:15.880
<v Speaker 11>rather than promising you next day delivery.

1:02:15.720 --> 1:02:17.720
<v Speaker 2>Right, And maybe we all just manage our expectations. And

1:02:17.720 --> 1:02:19.600
<v Speaker 2>I have to have everything the next day. All right,

1:02:19.640 --> 1:02:20.400
<v Speaker 2>this is Bloomberg.

1:02:26.280 --> 1:02:29.840
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

1:02:29.880 --> 1:02:33.920
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

1:02:34.120 --> 1:02:37.400
<v Speaker 1>the Bloomberg Business App and YouTube. You can also listen

1:02:37.480 --> 1:02:40.600
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

1:02:41.040 --> 1:02:43.800
<v Speaker 1>Just say Alexa play Bloomberg eleven.

1:02:43.520 --> 1:02:46.880
<v Speaker 2>Thirty Plenty ahead in our second hour of the weekend

1:02:47.000 --> 1:02:49.640
<v Speaker 2>edition of Bloomberg Business Week, including fun with the maker

1:02:49.680 --> 1:02:52.520
<v Speaker 2>of Ken and Barbie. Mattel CEO inon cries on the

1:02:52.560 --> 1:02:55.760
<v Speaker 2>movie The Toy Business and losing a topic Zech, plus

1:02:55.760 --> 1:02:58.480
<v Speaker 2>a classically trained French chef who is big time into

1:02:58.480 --> 1:03:02.240
<v Speaker 2>the vegetarian space, including plant based seafood. We talked with

1:03:02.280 --> 1:03:05.439
<v Speaker 2>the founder of Conscious Foods, also joining us, Laura ray Dickey.

1:03:05.560 --> 1:03:07.320
<v Speaker 2>She's the CEO of the more than eighty year old

1:03:07.320 --> 1:03:11.360
<v Speaker 2>family run franchise Dicky's Barbecue Restaurants. First up this hour,

1:03:11.480 --> 1:03:15.000
<v Speaker 2>Mattel reported sales and profit that beat analyst expectations, but

1:03:15.040 --> 1:03:17.640
<v Speaker 2>it didn't get much help from Barbie, the fashion doll

1:03:17.680 --> 1:03:19.560
<v Speaker 2>that was the focus of the top movie in the

1:03:19.600 --> 1:03:23.360
<v Speaker 2>world last weekend. Those earnings came out late Wednesday, just

1:03:23.560 --> 1:03:26.320
<v Speaker 2>hours after we got word that Richard Dixon, the MATEL

1:03:26.400 --> 1:03:30.360
<v Speaker 2>chief operating officer who oversaw a recent Barbie turnaround, will

1:03:30.400 --> 1:03:34.000
<v Speaker 2>become CEO of The Gap next month with more on

1:03:34.080 --> 1:03:36.120
<v Speaker 2>all things Mattel. We were delighted to have back with

1:03:36.200 --> 1:03:39.720
<v Speaker 2>us in on Cries, Chairman and CEO of Mattel. First

1:03:39.760 --> 1:03:42.920
<v Speaker 2>of all, congratulations on Barbie, because we have been talking

1:03:42.960 --> 1:03:45.520
<v Speaker 2>about that with you for a while. I almost feel

1:03:45.560 --> 1:03:48.720
<v Speaker 2>like since the beginning and your strategy of bringing Mattel

1:03:48.800 --> 1:03:51.200
<v Speaker 2>toys to life, what does the success of the movie

1:03:51.640 --> 1:03:53.640
<v Speaker 2>mean to you and the company.

1:03:53.680 --> 1:03:55.840
<v Speaker 9>Yes, that's right, Carol, Then thank you for having me

1:03:55.880 --> 1:03:59.360
<v Speaker 9>on the show. As you remember from the very beginning,

1:03:59.480 --> 1:04:03.440
<v Speaker 9>this was never about just making a movie. This was

1:04:03.480 --> 1:04:09.120
<v Speaker 9>about creating a cultural event, a societal moment, and we

1:04:09.160 --> 1:04:12.720
<v Speaker 9>could not be happier where we are today with such

1:04:12.760 --> 1:04:15.400
<v Speaker 9>strong performance right out of the gate the first week,

1:04:16.400 --> 1:04:20.240
<v Speaker 9>with over five hundred million dollars in growth in box

1:04:20.280 --> 1:04:27.360
<v Speaker 9>office receipts, and more importantly the audience reaction, with people

1:04:27.440 --> 1:04:30.680
<v Speaker 9>going two and even three times already in the first

1:04:30.720 --> 1:04:34.720
<v Speaker 9>week to see the movie, a very broad audience including Man,

1:04:35.440 --> 1:04:42.520
<v Speaker 9>and a very strong performance internationally that is stronger than

1:04:42.560 --> 1:04:44.280
<v Speaker 9>the US, and it's not because the US is not

1:04:44.400 --> 1:04:48.760
<v Speaker 9>doing well. It's just a very strong performance across the world.

1:04:48.920 --> 1:04:55.360
<v Speaker 9>And all in all, it really is an exciting moment

1:04:55.440 --> 1:04:59.400
<v Speaker 9>and a showcase for the cultural resonance of our brands,

1:05:01.120 --> 1:05:06.160
<v Speaker 9>our ability to attract and collaborate with top creative talent

1:05:06.840 --> 1:05:13.800
<v Speaker 9>and marketing and demand creation capabilities to create what is now,

1:05:14.400 --> 1:05:15.760
<v Speaker 9>you know, a cultural phenomenon.

1:05:15.800 --> 1:05:17.440
<v Speaker 2>You know what does it mean for merchandise? I mean,

1:05:17.480 --> 1:05:19.600
<v Speaker 2>I've actually bought some Barbie products, to be quite honest,

1:05:19.640 --> 1:05:21.800
<v Speaker 2>I grew up with Barbie's, introduced them to my daughter,

1:05:21.880 --> 1:05:26.080
<v Speaker 2>My older sisters introduced me to them, and it's nostalgic

1:05:26.320 --> 1:05:29.160
<v Speaker 2>for me. But I also have been in the stores

1:05:29.240 --> 1:05:34.800
<v Speaker 2>where all ages are snapping out products. How how does

1:05:34.840 --> 1:05:37.720
<v Speaker 2>that move the needle for you guys financially as well?

1:05:38.160 --> 1:05:40.880
<v Speaker 9>All those Yeah, well, it's see incredible take up of

1:05:40.960 --> 1:05:46.920
<v Speaker 9>the movie related merchandise. We have handing been sixty more

1:05:46.920 --> 1:05:50.600
<v Speaker 9>than having a sixty five different consumer product partners, different

1:05:51.000 --> 1:05:54.400
<v Speaker 9>different industry, different products all over the world, and we're

1:05:54.400 --> 1:05:58.160
<v Speaker 9>seeing incredible excitement and as you say, you know, product

1:05:58.240 --> 1:06:02.000
<v Speaker 9>is setting out quickly. This is a movie related merchandise.

1:06:02.120 --> 1:06:05.720
<v Speaker 2>Does it financially have a material financial material impact on

1:06:05.760 --> 1:06:07.840
<v Speaker 2>you guys, Well.

1:06:08.200 --> 1:06:11.280
<v Speaker 9>We haven't broken it out, but this is already part

1:06:11.320 --> 1:06:14.440
<v Speaker 9>of what we expect will be an uplift in Barbie

1:06:14.520 --> 1:06:17.640
<v Speaker 9>sales in the second half. This is really where it

1:06:17.760 --> 1:06:20.800
<v Speaker 9>kicked in. And of course don't forget the Hello effect

1:06:20.840 --> 1:06:27.240
<v Speaker 9>on the overall Barbie brand with the significant improvement in

1:06:27.400 --> 1:06:32.160
<v Speaker 9>consumer demand already in the third quarter, and expect Barbie

1:06:32.720 --> 1:06:37.720
<v Speaker 9>to grow in the third quarter and and the full year.

1:06:38.280 --> 1:06:41.160
<v Speaker 3>Nan you called it a cultural moment, and certainly that

1:06:41.200 --> 1:06:44.200
<v Speaker 3>means that it can polarize some people, at least here

1:06:44.200 --> 1:06:46.960
<v Speaker 3>in the United States. Got to ask about the high

1:06:47.000 --> 1:06:50.560
<v Speaker 3>profile people on the right who've criticized the film. Ben

1:06:50.560 --> 1:06:53.640
<v Speaker 3>Shapiro made this forty minute YouTube video. It's been viewed

1:06:53.680 --> 1:06:56.240
<v Speaker 3>nearly two million times. He says he destroys the movie.

1:06:56.240 --> 1:06:59.520
<v Speaker 3>He actually burns Barbies in it. Elon Musk says, if

1:06:59.560 --> 1:07:01.960
<v Speaker 3>you take a sh every time Barbie says the word patriarchy,

1:07:02.280 --> 1:07:04.800
<v Speaker 3>you'll pass out before the movie ends. How do you

1:07:04.800 --> 1:07:06.960
<v Speaker 3>react to that criticism?

1:07:07.440 --> 1:07:11.680
<v Speaker 9>Barbie has been a flag carrier for diversity and inclusivity.

1:07:12.280 --> 1:07:16.840
<v Speaker 9>Barbie inspired the limitless potential in every girl, and and

1:07:17.200 --> 1:07:20.040
<v Speaker 9>the genius of Greta is what she did. She took

1:07:20.080 --> 1:07:24.360
<v Speaker 9>this message, you know that that focuses on female empowerment

1:07:25.080 --> 1:07:29.560
<v Speaker 9>and made this movie appealing and relevant to everyone, and

1:07:29.680 --> 1:07:33.120
<v Speaker 9>people who go to the movie, you know, whether you're

1:07:33.560 --> 1:07:37.680
<v Speaker 9>a Barbie fan or or you know, or looking to

1:07:37.680 --> 1:07:41.640
<v Speaker 9>be entertained and inspired by by a modern day interpretation

1:07:41.760 --> 1:07:45.080
<v Speaker 9>of one of the most iconic brands in modern culture.

1:07:45.640 --> 1:07:50.120
<v Speaker 9>This movie Will Will Will Be, Will Be, Will Be

1:07:50.160 --> 1:07:52.720
<v Speaker 9>an experience for you. And what we believe is this

1:07:52.760 --> 1:07:57.200
<v Speaker 9>movie will recontextualize the way people think of Barbie and

1:07:57.240 --> 1:08:01.560
<v Speaker 9>what Barbie means for the world. And we could not

1:08:01.680 --> 1:08:05.520
<v Speaker 9>be more proud of the of the messages and the

1:08:05.640 --> 1:08:08.480
<v Speaker 9>unique voice that Greta has in this movie.

1:08:08.720 --> 1:08:11.400
<v Speaker 2>Well, and I'm curious too, does it mean that we're

1:08:11.400 --> 1:08:13.480
<v Speaker 2>going to see a Barbie sequel? Or is it a

1:08:13.520 --> 1:08:16.120
<v Speaker 2>case of you guys move on to other toys?

1:08:17.439 --> 1:08:19.240
<v Speaker 9>You know, we have an announced sequel, and you know,

1:08:19.240 --> 1:08:21.320
<v Speaker 9>we're still barely a week into the religion.

1:08:22.280 --> 1:08:24.720
<v Speaker 2>But how we journalists are, We're like, okay, now, now,

1:08:24.760 --> 1:08:25.599
<v Speaker 2>what what's next?

1:08:26.400 --> 1:08:28.719
<v Speaker 9>You know, you're not alone, You're not alone and asking

1:08:28.760 --> 1:08:32.240
<v Speaker 9>the question. But of course you know, it's such a success,

1:08:32.280 --> 1:08:35.800
<v Speaker 9>such a phenomenal success, you know, of course we'd be

1:08:35.840 --> 1:08:40.479
<v Speaker 9>looking to extend, extend this, and we've always said that

1:08:40.520 --> 1:08:42.800
<v Speaker 9>our goal is not this is broadly not just about

1:08:42.800 --> 1:08:45.880
<v Speaker 9>Barbie is We're not looking to create single movies, but

1:08:46.000 --> 1:08:50.080
<v Speaker 9>to build film franchises for the long term. And of

1:08:50.120 --> 1:08:53.360
<v Speaker 9>course this is part of our strategy in terms of

1:08:53.400 --> 1:08:55.880
<v Speaker 9>capturing the full value from our intellectual properties.

1:08:56.200 --> 1:08:59.120
<v Speaker 2>You know, does that intellectual property be it in movies

1:08:59.200 --> 1:09:02.200
<v Speaker 2>or streaming series or what have you. How you guys,

1:09:02.360 --> 1:09:06.040
<v Speaker 2>you know, whichever ways you go, does that ultimately become

1:09:06.800 --> 1:09:09.480
<v Speaker 2>a big generator of revenues.

1:09:11.080 --> 1:09:15.840
<v Speaker 9>We absolutely said that our strategy in capturing the full

1:09:15.920 --> 1:09:19.240
<v Speaker 9>value of our IP outside the toy isle can be

1:09:19.439 --> 1:09:23.400
<v Speaker 9>meaningful in success, you know, and we're looking to scale this.

1:09:23.400 --> 1:09:26.880
<v Speaker 9>This is not just about a movie or a TV series.

1:09:26.920 --> 1:09:31.000
<v Speaker 9>This is about participating in the highly accreative business verticals

1:09:31.360 --> 1:09:34.960
<v Speaker 9>outside the toy isle that are all driven by big franchises,

1:09:35.080 --> 1:09:38.920
<v Speaker 9>big brands, and in some cases these verticals are larger

1:09:38.960 --> 1:09:42.479
<v Speaker 9>than the toy industry. So we believe that we have

1:09:44.560 --> 1:09:49.600
<v Speaker 9>you know, the assets, the capabilities, the relationship and with

1:09:49.680 --> 1:09:52.960
<v Speaker 9>the Barbie movie, this really positions us in a very

1:09:52.960 --> 1:09:57.720
<v Speaker 9>strong way as a key player that can participate in this,

1:09:58.880 --> 1:10:03.559
<v Speaker 9>in these verticals and create meaningfully shareholder value and build

1:10:03.720 --> 1:10:04.960
<v Speaker 9>a meaningful business out of this.

1:10:05.320 --> 1:10:07.120
<v Speaker 3>You know, It's like Carol said, this has been a

1:10:07.160 --> 1:10:09.519
<v Speaker 3>busy week for you. Got to ask about the big

1:10:09.560 --> 1:10:12.519
<v Speaker 3>news yesterday the co president and CEO Richard Dixon moving

1:10:12.560 --> 1:10:16.160
<v Speaker 3>on to be CEO of the Gap. Let's get your

1:10:16.160 --> 1:10:17.760
<v Speaker 3>comments on that. How big of a loss is this

1:10:17.800 --> 1:10:18.360
<v Speaker 3>for the company.

1:10:19.520 --> 1:10:21.800
<v Speaker 9>Richard is a friend and has been a great colleague

1:10:22.760 --> 1:10:25.960
<v Speaker 9>and partner for me since I joined the company. But

1:10:26.560 --> 1:10:32.120
<v Speaker 9>one of Richard's biggest accomplishments is that we built a

1:10:32.400 --> 1:10:37.520
<v Speaker 9>very very strong team of leaders, of designers, of innovators,

1:10:37.600 --> 1:10:42.599
<v Speaker 9>of creative talent within the company and the executives who

1:10:42.640 --> 1:10:47.280
<v Speaker 9>take over from Richard. Between Lisa McKnight, who has been

1:10:47.880 --> 1:10:51.040
<v Speaker 9>the head of Barbie since twenty and sixteen and very

1:10:51.120 --> 1:10:56.720
<v Speaker 9>much manage the transformation together with Richard and the head

1:10:56.720 --> 1:10:59.320
<v Speaker 9>of Dools in twenty nineteen. And Josh Silverman, who has

1:10:59.360 --> 1:11:03.320
<v Speaker 9>been a Disney for twenty years that is now where

1:11:03.360 --> 1:11:09.240
<v Speaker 9>he oversaw all of business third party relationships with licensees,

1:11:09.280 --> 1:11:11.839
<v Speaker 9>now running our non point commercial activities.

1:11:11.920 --> 1:11:12.559
<v Speaker 2>So You're not worried.

1:11:14.040 --> 1:11:17.080
<v Speaker 9>Two world class leaders really taking charge and we could

1:11:17.120 --> 1:11:21.280
<v Speaker 9>not be more confident of our team. He's running this business,

1:11:21.320 --> 1:11:21.599
<v Speaker 9>you know.

1:11:21.560 --> 1:11:23.479
<v Speaker 2>On ten seconds, got to be quick. Did you give

1:11:23.520 --> 1:11:26.080
<v Speaker 2>tips to Will Farrell on playing a CEO of Mattel?

1:11:27.560 --> 1:11:30.120
<v Speaker 9>I can learn a lot from him on the comedy side,

1:11:30.160 --> 1:11:33.599
<v Speaker 9>but I'm a big fan and it's great to see

1:11:33.680 --> 1:11:34.599
<v Speaker 9>him playing the role.

1:11:34.840 --> 1:11:38.640
<v Speaker 2>Well, congratulations and we're looking forward to following more of

1:11:38.640 --> 1:11:40.880
<v Speaker 2>this story and what comes next. In on christ Gairman

1:11:40.920 --> 1:11:43.080
<v Speaker 2>and chief executive officer at Mattel, on the phone from

1:11:43.080 --> 1:11:45.480
<v Speaker 2>elsin Gundo, California. This is Bloomberg.

1:11:45.880 --> 1:11:49.439
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:11:49.479 --> 1:11:52.960
<v Speaker 1>live weekday afternoons from three to six Eastern Listen.

1:11:52.720 --> 1:11:56.720
<v Speaker 5>On Bloomberg dot com, the iHeartRadio app and the Bloomberg.

1:11:56.240 --> 1:11:59.479
<v Speaker 1>Business app, or what's just live on YouTube.

1:12:00.000 --> 1:12:01.640
<v Speaker 2>We're gonna talk about something different right now. We have

1:12:01.680 --> 1:12:02.760
<v Speaker 2>a really cool guess or.

1:12:02.720 --> 1:12:04.320
<v Speaker 11>The same, depending on your pet.

1:12:04.520 --> 1:12:07.439
<v Speaker 2>That's true. He has bicycled more than thirty four hundred

1:12:07.439 --> 1:12:11.639
<v Speaker 2>miles from Montreal to the Pacific Ocean. Classically trained French chef,

1:12:12.040 --> 1:12:14.439
<v Speaker 2>he's founded a couple of food companies, he has sold them.

1:12:14.439 --> 1:12:16.519
<v Speaker 2>He has spent more than three decades thinking about the

1:12:16.600 --> 1:12:20.200
<v Speaker 2>vegetarian food world, creating everything from a veggie hot dog

1:12:20.320 --> 1:12:22.759
<v Speaker 2>and more. Matt, so he knows the space.

1:12:23.320 --> 1:12:27.320
<v Speaker 11>All right, I'm interested. I'm very interested to hear about

1:12:27.320 --> 1:12:30.639
<v Speaker 11>this because I would love to be a vegetarian if

1:12:30.680 --> 1:12:33.679
<v Speaker 11>I could. The way we treat, especially factory farm, which

1:12:33.720 --> 1:12:38.200
<v Speaker 11>is almost all of our animals, from cows to chickens,

1:12:38.400 --> 1:12:39.560
<v Speaker 11>is disgusting.

1:12:39.920 --> 1:12:40.679
<v Speaker 2>Yeah, processes.

1:12:40.720 --> 1:12:45.000
<v Speaker 11>On the other hand, meat is so yummy and it's

1:12:45.040 --> 1:12:45.839
<v Speaker 11>packed with protein.

1:12:45.960 --> 1:12:46.120
<v Speaker 10>Right.

1:12:46.280 --> 1:12:49.320
<v Speaker 2>Also yummy is seafood, and he's now got a new

1:12:49.400 --> 1:12:52.960
<v Speaker 2>venture involving vegan seafood. It's known as Conscious Foods. So

1:12:53.080 --> 1:12:56.360
<v Speaker 2>with us is chef Eve Potfinn. He's present and founder

1:12:56.400 --> 1:12:59.360
<v Speaker 2>of Garden. I believe I'm saying it, I hopefully correctly

1:13:00.000 --> 1:13:03.560
<v Speaker 2>Conscious Food with Us on Zoom from Vancouver, British Columbia.

1:13:03.600 --> 1:13:06.200
<v Speaker 2>And forgive me if I've mispronounced. I studied a lot

1:13:06.280 --> 1:13:07.839
<v Speaker 2>of Spanish, not a lot of French.

1:13:09.720 --> 1:13:11.559
<v Speaker 11>Next, well, it's a famous name here in New York,

1:13:11.600 --> 1:13:13.360
<v Speaker 11>pot Dan, you know, yes, it is?

1:13:13.439 --> 1:13:13.800
<v Speaker 6>It is?

1:13:14.280 --> 1:13:18.280
<v Speaker 2>That is true. Welcome, Welcome, tell us a little bit

1:13:18.360 --> 1:13:22.200
<v Speaker 2>about yourself because you have done some really interesting stuff,

1:13:22.240 --> 1:13:24.559
<v Speaker 2>and you've really spent a lot of time on you know,

1:13:24.600 --> 1:13:26.960
<v Speaker 2>the vegetarian world and the plant based food world.

1:13:27.000 --> 1:13:32.040
<v Speaker 7>Hot come well, Matt, I'm like you. I'm a flexitarian,

1:13:32.520 --> 1:13:37.519
<v Speaker 7>so you know, I believe there's you should always try

1:13:37.560 --> 1:13:40.160
<v Speaker 7>to make a contribution for a bit of world. And

1:13:40.280 --> 1:13:44.360
<v Speaker 7>so I was, like you said, a trained chef, and

1:13:45.040 --> 1:13:48.960
<v Speaker 7>somehow I humble into the plant based business. And for

1:13:49.040 --> 1:13:51.880
<v Speaker 7>the last over thirty years I've been developing different brand

1:13:51.920 --> 1:13:57.679
<v Speaker 7>and very excited to present Conscious Conscious with a Cave today.

1:13:57.760 --> 1:14:00.839
<v Speaker 7>So we're a new innovative brand. We're on a mission

1:14:00.880 --> 1:14:04.519
<v Speaker 7>to change the way that people eat by providing a

1:14:04.560 --> 1:14:08.639
<v Speaker 7>line of frozen sushi or NIGHERI and Poke boll that

1:14:09.080 --> 1:14:12.559
<v Speaker 7>this is close to my heart, that it tastes good first,

1:14:13.120 --> 1:14:15.799
<v Speaker 7>and it's good for the people, good for the planet,

1:14:15.880 --> 1:14:19.240
<v Speaker 7>and we're so excited to launch our nationwide with folk

1:14:19.320 --> 1:14:20.519
<v Speaker 7>Food this week.

1:14:21.200 --> 1:14:23.760
<v Speaker 11>I mean, it's I think an issue that's close to

1:14:23.760 --> 1:14:25.839
<v Speaker 11>our hearts as well. Carol and I are both scuba

1:14:25.880 --> 1:14:31.400
<v Speaker 11>divers and we've all seen the problems. All of us

1:14:31.400 --> 1:14:35.559
<v Speaker 11>that have been underwater have seen the problems that giant

1:14:35.840 --> 1:14:41.000
<v Speaker 11>fishing expeditions create and then for a while I thought, Okay, well,

1:14:41.040 --> 1:14:44.240
<v Speaker 11>factory farm salmon, that must be a better alternative. Turns

1:14:44.240 --> 1:14:47.280
<v Speaker 11>out it really isn't because they don't do a good

1:14:47.360 --> 1:14:52.160
<v Speaker 11>job of raising those fish either. But the taste has

1:14:52.200 --> 1:14:55.280
<v Speaker 11>been a problem for me. I've only tried artificial you know,

1:14:55.360 --> 1:14:59.360
<v Speaker 11>plant based beef burgers like Impossible Burger or what's the

1:14:59.439 --> 1:15:03.479
<v Speaker 11>other one beyond beyond meat. I couldn't really stomach either

1:15:03.520 --> 1:15:08.320
<v Speaker 11>one of them. So how do you overcome that problem?

1:15:08.760 --> 1:15:11.759
<v Speaker 7>And that's why I'm so excited to be here talking

1:15:11.800 --> 1:15:15.599
<v Speaker 7>to you, Matthew Caroll, because evidently you are conscious, You

1:15:15.840 --> 1:15:20.280
<v Speaker 7>are aware of your environment and the way the younger

1:15:20.320 --> 1:15:24.599
<v Speaker 7>population today they vote with them mout and they say, well,

1:15:24.640 --> 1:15:26.840
<v Speaker 7>I want a better future, So it has to be

1:15:26.880 --> 1:15:30.920
<v Speaker 7>something that tastes good, it's good for the environment. And

1:15:31.000 --> 1:15:33.920
<v Speaker 7>another thing that we're excited about conscious is that we

1:15:34.120 --> 1:15:37.840
<v Speaker 7>have price parity. So a lot of the company that

1:15:37.920 --> 1:15:40.400
<v Speaker 7>you mentioned before, I think it's something like twenty percent

1:15:40.439 --> 1:15:43.439
<v Speaker 7>of the population that would like to incorporate plant based

1:15:44.439 --> 1:15:47.639
<v Speaker 7>protein in their diet, but they say it's too expensive. Well,

1:15:47.640 --> 1:15:50.720
<v Speaker 7>with the person I think of this new generation innovative

1:15:50.760 --> 1:15:54.640
<v Speaker 7>brand that it's price parity it's not a more expensive

1:15:54.720 --> 1:15:59.440
<v Speaker 7>than nutuitional traditional protein, but because of my chef background,

1:16:00.479 --> 1:16:03.920
<v Speaker 7>it has to taste good. And a consumer now they're

1:16:03.960 --> 1:16:09.400
<v Speaker 7>looking for sustainable choice that are affordable, and so you

1:16:09.439 --> 1:16:13.280
<v Speaker 7>can go to Whole Food and buy a California role,

1:16:14.920 --> 1:16:19.200
<v Speaker 7>a Japanese courreer, the gary or salmon poke bol and

1:16:19.240 --> 1:16:21.519
<v Speaker 7>it's going to cost you seven ninety nine or eight

1:16:21.640 --> 1:16:23.920
<v Speaker 7>ninety nine. You don't have to break the bank to

1:16:23.960 --> 1:16:24.760
<v Speaker 7>eat consciously.

1:16:24.840 --> 1:16:27.360
<v Speaker 2>Now, I guess the one thing too I will go

1:16:27.439 --> 1:16:29.720
<v Speaker 2>back to is things like impossible and beyond me. What

1:16:29.800 --> 1:16:33.559
<v Speaker 2>I had had a problem with Eve is that there

1:16:33.640 --> 1:16:36.760
<v Speaker 2>was a lot of sodium in them, and to me,

1:16:36.880 --> 1:16:41.000
<v Speaker 2>that wasn't I think of planet based proteins and I

1:16:41.040 --> 1:16:44.080
<v Speaker 2>think healthier and less impact on the environment. Like it

1:16:44.360 --> 1:16:46.000
<v Speaker 2>has to take off a bunch of boxes for me

1:16:46.479 --> 1:16:48.840
<v Speaker 2>in order and it has to taste good. So tell

1:16:48.920 --> 1:16:53.680
<v Speaker 2>us about the nutritional value or some of the metrics

1:16:54.720 --> 1:16:56.400
<v Speaker 2>so that if I turn over the box, what am

1:16:56.400 --> 1:16:58.760
<v Speaker 2>I going to see when it comes to sodium or whatever.

1:16:58.840 --> 1:17:00.639
<v Speaker 11>The way there's a lot of boxes has to tick

1:17:01.000 --> 1:17:04.599
<v Speaker 11>better for the environment, Yep. It has to cost the

1:17:04.640 --> 1:17:10.200
<v Speaker 11>same or around the same, right, it's got to taste good,

1:17:10.840 --> 1:17:14.559
<v Speaker 11>and it's got to be good for you because obviously, Eve,

1:17:14.800 --> 1:17:17.640
<v Speaker 11>you know, there's a lot of protein and meat and

1:17:17.680 --> 1:17:20.479
<v Speaker 11>it's not packed with salt, as Carol says.

1:17:20.280 --> 1:17:25.240
<v Speaker 7>Yeah, totally right, And so we are looking and Matt,

1:17:25.800 --> 1:17:28.920
<v Speaker 7>You're totally right. You know, in our lifetime, we know

1:17:29.080 --> 1:17:32.000
<v Speaker 7>that somewhere in the next twenty thirty years we're going

1:17:32.080 --> 1:17:34.800
<v Speaker 7>to drive elect a car or any other form of

1:17:35.320 --> 1:17:39.320
<v Speaker 7>car that is not fueled by petroleum. But it's the

1:17:39.320 --> 1:17:42.360
<v Speaker 7>same thing in our life. We know most of the farm,

1:17:42.760 --> 1:17:44.240
<v Speaker 7>most of the official's going to EAT's going to be

1:17:44.280 --> 1:17:47.759
<v Speaker 7>farm farm raised, and you know, a lot of salmon

1:17:47.800 --> 1:17:50.759
<v Speaker 7>in the market went now it's artificial color, artificial flavor,

1:17:50.800 --> 1:17:53.720
<v Speaker 7>et cetera. So we're on a mission to change the

1:17:53.720 --> 1:17:56.640
<v Speaker 7>way we eat. I said earlier, is because we have

1:17:56.760 --> 1:18:00.280
<v Speaker 7>a third of the sodium of traditional sushi that you

1:18:00.320 --> 1:18:04.439
<v Speaker 7>eat in the supermarket, we have less fat, and we

1:18:04.560 --> 1:18:10.080
<v Speaker 7>have ingredient that are easily recognizable. So our tuna as

1:18:10.120 --> 1:18:14.040
<v Speaker 7>first ingredients is organic tomato. The second one is conjact.

1:18:14.200 --> 1:18:19.599
<v Speaker 7>Conjact is a mood vegetable that has tremendous dietary fiber

1:18:20.160 --> 1:18:24.120
<v Speaker 7>and it's good for you. So yes, there's many books

1:18:24.640 --> 1:18:28.439
<v Speaker 7>that the customer is looking. First of all is the price. Well,

1:18:28.600 --> 1:18:31.240
<v Speaker 7>we take care of that one. Nutritional We have about

1:18:31.320 --> 1:18:36.439
<v Speaker 7>half of the protein right now that salmon or tuna has.

1:18:36.800 --> 1:18:39.640
<v Speaker 7>But it's okay. Most people don't buy just because of

1:18:39.680 --> 1:18:42.200
<v Speaker 7>the protein, they buy because of the whole package. But

1:18:42.240 --> 1:18:45.519
<v Speaker 7>we are working very closely to trying to increase the

1:18:45.640 --> 1:18:51.200
<v Speaker 7>level of protein. No artificial ingredient, non gmo, organic ingredients, etc.

1:18:51.600 --> 1:18:55.120
<v Speaker 7>So I think we've done a good job putting the package.

1:18:55.160 --> 1:18:58.960
<v Speaker 7>But most important, it's convenient. My wife likes to say

1:18:59.080 --> 1:19:02.720
<v Speaker 7>frozen to me in five minutes. So and people ask

1:19:02.800 --> 1:19:05.200
<v Speaker 7>me that why do youse in sushi? Well there's twenty

1:19:05.280 --> 1:19:09.439
<v Speaker 7>thousand sushi restaurant in North America. There's a need for

1:19:09.520 --> 1:19:11.440
<v Speaker 7>it to have it in your freeze.

1:19:11.640 --> 1:19:13.760
<v Speaker 2>But you know, something like salmon, right, I go for

1:19:13.840 --> 1:19:16.880
<v Speaker 2>it because of the omega three fatty acids. Right, that's

1:19:16.920 --> 1:19:19.920
<v Speaker 2>good for me, and I would rather you know, kind

1:19:19.960 --> 1:19:22.080
<v Speaker 2>of grew up with a family. You know, everything in

1:19:22.160 --> 1:19:26.000
<v Speaker 2>moderation and better to eat as true to how it

1:19:26.160 --> 1:19:31.160
<v Speaker 2>is grown or cultivated, hopefully and do less of it.

1:19:31.280 --> 1:19:33.120
<v Speaker 2>So do I get that benefit?

1:19:34.120 --> 1:19:38.559
<v Speaker 7>You do? We have only got three comes from different sorts.

1:19:38.760 --> 1:19:42.280
<v Speaker 7>One of them is the fish oil, but it's also

1:19:42.600 --> 1:19:48.479
<v Speaker 7>vegetable oil that we incorporate in our product that has

1:19:48.680 --> 1:19:51.720
<v Speaker 7>the same level as ome got three that you have

1:19:51.960 --> 1:19:53.360
<v Speaker 7>in traditional.

1:19:52.800 --> 1:19:56.439
<v Speaker 2>Fish Interesting, really interesting, are.

1:19:56.360 --> 1:19:59.719
<v Speaker 11>You I'm convinced. I'll tell you what. I'm convinced enough.

1:20:00.880 --> 1:20:03.439
<v Speaker 11>We have a whole Foods right down here. Try on

1:20:03.520 --> 1:20:06.200
<v Speaker 11>third and fifty seventh. I'll walk down there and get

1:20:06.240 --> 1:20:06.920
<v Speaker 11>some for sure.

1:20:07.400 --> 1:20:08.040
<v Speaker 2>Yeah, I'm right.

1:20:09.320 --> 1:20:12.639
<v Speaker 7>Just follow the instruction, very tree easy way to prepare

1:20:12.640 --> 1:20:15.920
<v Speaker 7>it microwave one minute. If you don't like microwave, you

1:20:15.960 --> 1:20:20.080
<v Speaker 7>can put the patent pending packaging in hot water for

1:20:20.320 --> 1:20:23.640
<v Speaker 7>eight minutes, or you could leave it at room temperature

1:20:23.640 --> 1:20:24.160
<v Speaker 7>and it sweady.

1:20:24.160 --> 1:20:28.240
<v Speaker 2>Polunch, We're talking with Eve Puffin, president and founder of

1:20:28.320 --> 1:20:33.120
<v Speaker 2>Conscious Foods, on Zoom from Vancouver, British Columbia. Hey, one

1:20:33.120 --> 1:20:34.680
<v Speaker 2>thing I wanted to ask you. I mean, Matt and

1:20:34.720 --> 1:20:36.679
<v Speaker 2>I talk a lot about food and just the way

1:20:36.720 --> 1:20:39.880
<v Speaker 2>we produce things and trying to feed this world, and

1:20:40.000 --> 1:20:42.240
<v Speaker 2>a lot of the ways that we do it are

1:20:42.360 --> 1:20:44.720
<v Speaker 2>not great for the environment. There's also a lot of

1:20:44.760 --> 1:20:49.080
<v Speaker 2>food waste. And there's an interesting Bloomberg opinion columnist that

1:20:49.160 --> 1:20:52.040
<v Speaker 2>talks about big food should be esg's next target. Basically,

1:20:52.080 --> 1:20:56.040
<v Speaker 2>just going after the alter processed food makers.

1:20:55.760 --> 1:20:59.559
<v Speaker 11>Should be esg's first target. Should have been esg's first target,

1:20:59.600 --> 1:21:04.120
<v Speaker 11>because if you do, you want to stop carbon emissions, right,

1:21:04.240 --> 1:21:07.639
<v Speaker 11>you got to go after the beef industry, even before

1:21:07.760 --> 1:21:10.040
<v Speaker 11>you go after the internal combustion engine.

1:21:10.200 --> 1:21:13.760
<v Speaker 2>So how do you think about all of this? You know,

1:21:13.760 --> 1:21:16.839
<v Speaker 2>you've been working in the food industry for a long time.

1:21:17.520 --> 1:21:19.720
<v Speaker 2>How do you think about it? And what is a

1:21:19.760 --> 1:21:20.799
<v Speaker 2>better way forward?

1:21:22.560 --> 1:21:27.360
<v Speaker 7>Well, it's about diversity. You know. Last year August, we

1:21:28.240 --> 1:21:33.920
<v Speaker 7>reached a milestone of eight billion in population. We know that,

1:21:34.680 --> 1:21:37.800
<v Speaker 7>and that's what's one of the reasons. You know, I

1:21:37.920 --> 1:21:42.559
<v Speaker 7>have a younger daughter. When she was born not that

1:21:42.720 --> 1:21:45.559
<v Speaker 7>long ago, twenty five years ago, the population was three

1:21:45.600 --> 1:21:48.599
<v Speaker 7>point seven billion. Now we're at eight and we're going

1:21:48.640 --> 1:21:52.879
<v Speaker 7>to be at ten billion. So and that was my idea,

1:21:52.960 --> 1:21:54.640
<v Speaker 7>and I said, it makes a lot of sense. We know,

1:21:55.120 --> 1:21:58.000
<v Speaker 7>and taking Vancouver Simon reached the price of thirty dollars

1:21:58.080 --> 1:22:01.680
<v Speaker 7>a pound this summer, So traditional protein is going to

1:22:01.720 --> 1:22:04.760
<v Speaker 7>go higher and higher in price, So why not diversify

1:22:04.840 --> 1:22:08.320
<v Speaker 7>the protein and use the plant base, you know, and

1:22:08.360 --> 1:22:13.320
<v Speaker 7>the question is having manufactured and processor like the innovator

1:22:13.400 --> 1:22:17.479
<v Speaker 7>that takes those protein, the p protein, all the different

1:22:17.520 --> 1:22:20.040
<v Speaker 7>sourts of protein, put it in a way and forming

1:22:20.080 --> 1:22:23.799
<v Speaker 7>in the shape that people are accustomed to. Because people

1:22:23.840 --> 1:22:27.840
<v Speaker 7>won't start feeding themselves lentil and chickpea and a thing

1:22:27.960 --> 1:22:31.680
<v Speaker 7>like this is too complicated. So and that's what we do.

1:22:31.720 --> 1:22:35.800
<v Speaker 7>We use traditional sushi and we make our own snow

1:22:35.840 --> 1:22:38.679
<v Speaker 7>crab or on now on salmon. And I'm really excited

1:22:38.680 --> 1:22:41.120
<v Speaker 7>for you, Matt, to go try it because you're going

1:22:41.160 --> 1:22:46.760
<v Speaker 7>to say, Wow, this tastes great. And I feel very

1:22:46.760 --> 1:22:49.920
<v Speaker 7>proud about what we accomplish. And I think the world

1:22:50.000 --> 1:22:53.160
<v Speaker 7>is changing. The younger population is voting with them out

1:22:53.160 --> 1:22:56.040
<v Speaker 7>and I think it's a question of using all our

1:22:56.160 --> 1:22:58.679
<v Speaker 7>source of protein. That is what we're going to find

1:22:58.960 --> 1:23:02.840
<v Speaker 7>a solution, not beef, not just seafood, but using the

1:23:02.920 --> 1:23:06.880
<v Speaker 7>protein from a variety of sorts. Seaweed is fantastic source

1:23:06.920 --> 1:23:07.760
<v Speaker 7>of protein.

1:23:08.520 --> 1:23:13.160
<v Speaker 11>All right. So and the sushi, it's packed full of protein.

1:23:13.520 --> 1:23:17.000
<v Speaker 11>What's the protein and the calorie value of that of

1:23:17.000 --> 1:23:19.040
<v Speaker 11>that sushi those California roles.

1:23:20.320 --> 1:23:23.640
<v Speaker 7>Calorie is about three hundred and fifty calorie for eight

1:23:23.760 --> 1:23:28.880
<v Speaker 7>coin and it's about you know, traditional sushi is about

1:23:28.920 --> 1:23:33.040
<v Speaker 7>eight percent protein. This is about four percent. So but

1:23:33.160 --> 1:23:36.439
<v Speaker 7>most people don't go to the sushi and say I'm

1:23:36.479 --> 1:23:42.120
<v Speaker 7>eating there because of protein. Most people have too much

1:23:42.200 --> 1:23:46.240
<v Speaker 7>protein and dead dye. That's that's that's the reality. So

1:23:46.320 --> 1:23:49.879
<v Speaker 7>I think it's more about nutrition. What you bring nutrition,

1:23:50.000 --> 1:23:53.960
<v Speaker 7>and I think our product is pack of nutrition. We

1:23:54.120 --> 1:23:57.280
<v Speaker 7>have all the vitamin d A, b et cetera that

1:23:57.400 --> 1:24:00.640
<v Speaker 7>your body need, so and it. But most important is

1:24:00.760 --> 1:24:04.320
<v Speaker 7>what we're offering is convenience. You can have sushi on

1:24:04.439 --> 1:24:07.200
<v Speaker 7>a giary, poke bol at lunch, dinner, smack, have a

1:24:07.240 --> 1:24:10.920
<v Speaker 7>party with your friend, so having the product available in

1:24:10.960 --> 1:24:14.519
<v Speaker 7>your freezer and ready in five minutes. And it's about

1:24:14.560 --> 1:24:17.800
<v Speaker 7>giving a choice to the consumer that whenever you want,

1:24:18.000 --> 1:24:20.519
<v Speaker 7>you can have a product that you like. Like I

1:24:20.560 --> 1:24:24.200
<v Speaker 7>said earlier, twenty thousand sushi, five thousand, poke bowl, wrestlant,

1:24:24.439 --> 1:24:24.800
<v Speaker 7>there's a.

1:24:24.760 --> 1:24:28.880
<v Speaker 2>Market for so Eve as demand. Let's assume that this

1:24:29.080 --> 1:24:32.719
<v Speaker 2>takes off and as demand picks up, can you keep

1:24:32.760 --> 1:24:36.040
<v Speaker 2>it at the cost level that you have now or

1:24:36.080 --> 1:24:40.000
<v Speaker 2>will just like with kind of regular food, it just

1:24:40.040 --> 1:24:42.839
<v Speaker 2>feels like, as you said, the growing population, like demand

1:24:42.920 --> 1:24:45.519
<v Speaker 2>just has gotten out of control. And as the developed

1:24:45.560 --> 1:24:49.080
<v Speaker 2>world has a much more or the developing world has

1:24:49.120 --> 1:24:51.479
<v Speaker 2>more of a developed diet, like right, there's more demand

1:24:51.479 --> 1:24:54.800
<v Speaker 2>of that traditional food thing. So the cost, I'm just

1:24:54.920 --> 1:24:58.920
<v Speaker 2>curious about the process and the cost as demand ramps up.

1:24:59.560 --> 1:25:04.120
<v Speaker 11>One of the main inputs pease, Well, the rice comes

1:25:04.160 --> 1:25:05.400
<v Speaker 11>from California.

1:25:05.520 --> 1:25:09.439
<v Speaker 7>All our vegetables are from British Columbia, so we're trying

1:25:09.439 --> 1:25:12.400
<v Speaker 7>to buy local as possible. But we have a thirty

1:25:12.400 --> 1:25:17.960
<v Speaker 7>four thousand square feet facility in Vancouver. Over here we

1:25:18.040 --> 1:25:22.120
<v Speaker 7>can produce four thousand row an hour, so that's a

1:25:22.160 --> 1:25:24.679
<v Speaker 7>pair amount of volume. But our plan is to open

1:25:24.720 --> 1:25:28.840
<v Speaker 7>a factory or a processing facility in the US, one

1:25:28.920 --> 1:25:33.280
<v Speaker 7>in Asia, and one in Europe. So your question, Carol

1:25:33.439 --> 1:25:37.200
<v Speaker 7>is more about ingredient. Has you increased the demand? Well,

1:25:37.200 --> 1:25:42.000
<v Speaker 7>the view with root vegetable is you can grow more,

1:25:42.280 --> 1:25:45.599
<v Speaker 7>you know, from a I'm not anti beef, I'm not

1:25:45.760 --> 1:25:51.920
<v Speaker 7>anti fish, but it's just it's not a logical way

1:25:51.960 --> 1:25:55.200
<v Speaker 7>to grow your protein. It takes eighteen months to raise

1:25:55.200 --> 1:25:58.040
<v Speaker 7>a cattle and half of the you know, take you

1:25:58.360 --> 1:26:00.840
<v Speaker 7>feed it more than what you get at the end,

1:26:00.840 --> 1:26:03.360
<v Speaker 7>so versus the plant based protein. That's why it makes

1:26:03.720 --> 1:26:04.760
<v Speaker 7>so much sense.

1:26:04.520 --> 1:26:07.920
<v Speaker 2>Even with climate change, even with climate change making it

1:26:08.000 --> 1:26:10.240
<v Speaker 2>sometimes more problematic or difficult.

1:26:10.439 --> 1:26:14.080
<v Speaker 7>And depending what you're growing, Carol, you see if you're

1:26:14.120 --> 1:26:18.120
<v Speaker 7>growing more corn or more wheat or more soy. But

1:26:19.080 --> 1:26:22.599
<v Speaker 7>you know, there's a lot of place in Asia, for example,

1:26:22.680 --> 1:26:27.280
<v Speaker 7>that's where the root vegetable conscious. It's all over Asia.

1:26:27.439 --> 1:26:30.920
<v Speaker 7>But rice, there's lots of room to grow rice and

1:26:31.000 --> 1:26:33.400
<v Speaker 7>so and you need to you need to eat something.

1:26:33.439 --> 1:26:36.000
<v Speaker 7>You know, at one point people asking me why in

1:26:36.040 --> 1:26:38.800
<v Speaker 7>my previous business, why are you using wheat or soy?

1:26:38.800 --> 1:26:41.000
<v Speaker 7>Except what I said, I don't use nil, I don't

1:26:41.080 --> 1:26:43.120
<v Speaker 7>use dairy, I don't use egg. You need to eat

1:26:43.120 --> 1:26:47.280
<v Speaker 7>food something you can't just live with with water and air.

1:26:47.439 --> 1:26:50.040
<v Speaker 7>And I think the food we grow, the food we

1:26:50.400 --> 1:26:54.960
<v Speaker 7>use that conscious is very good. And yes, it's sustainable.

1:26:56.280 --> 1:26:58.120
<v Speaker 2>Interesting, all right, we're going to leave it on that note.

1:26:58.160 --> 1:27:02.040
<v Speaker 2>Really really fascinating. And I do feel like more and

1:27:02.120 --> 1:27:06.720
<v Speaker 2>more we continue to see the food space slowly being disrupted,

1:27:06.720 --> 1:27:07.479
<v Speaker 2>if you will.

1:27:07.520 --> 1:27:10.280
<v Speaker 11>Yeah, well, And I also the deeper I look into it,

1:27:10.280 --> 1:27:13.479
<v Speaker 11>the more problems I have with the way our food

1:27:13.600 --> 1:27:18.080
<v Speaker 11>is produced or farmed or caught. And as I said,

1:27:18.080 --> 1:27:20.799
<v Speaker 11>you know, salmon is one of the biggest conundrums because

1:27:20.840 --> 1:27:23.559
<v Speaker 11>I don't want to support industrial fishing and I don't

1:27:23.560 --> 1:27:27.559
<v Speaker 11>want to support the factory farming of salmon, but I

1:27:27.640 --> 1:27:28.439
<v Speaker 11>love salmon.

1:27:28.680 --> 1:27:29.920
<v Speaker 2>There was just a story did you see at the

1:27:29.960 --> 1:27:32.599
<v Speaker 2>New York Times about the fate of Alaska's king salmon

1:27:32.760 --> 1:27:35.920
<v Speaker 2>and starving orcas at orcas like don't have enough food,

1:27:36.160 --> 1:27:37.760
<v Speaker 2>and so they're trying to figure out what to do,

1:27:37.840 --> 1:27:41.120
<v Speaker 2>and they're thinking about maybe that we have to stop

1:27:41.160 --> 1:27:43.680
<v Speaker 2>fishing them. But then you've got, you know, folks that

1:27:43.760 --> 1:27:44.360
<v Speaker 2>rely on it.

1:27:44.360 --> 1:27:46.679
<v Speaker 11>For we can't and you can't, they won't stop.

1:27:47.280 --> 1:27:50.720
<v Speaker 2>I don't know, it's just tricky. Eve. Thank you so much,

1:27:50.800 --> 1:27:53.240
<v Speaker 2>really appreciate it, Eve Pop, and hopefully you'll come back

1:27:53.280 --> 1:27:55.080
<v Speaker 2>soon and give us an update on the business. President

1:27:55.120 --> 1:27:58.320
<v Speaker 2>and founder of Conscious Foods. Showing us on zoom from Vancouver,

1:27:58.560 --> 1:28:02.559
<v Speaker 2>British Columbia.

1:28:06.640 --> 1:28:10.200
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:28:10.240 --> 1:28:14.280
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

1:28:14.479 --> 1:28:17.759
<v Speaker 1>the Bloomberg Business app, and YouTube. You can also listen

1:28:17.840 --> 1:28:20.960
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

1:28:21.400 --> 1:28:24.160
<v Speaker 1>Just say Alexa Play Bloomberg eleven thirty.

1:28:26.040 --> 1:28:27.559
<v Speaker 2>So we're gonna take a little bit of a break

1:28:27.560 --> 1:28:30.360
<v Speaker 2>from earnings from FED, talk from yeal curves. And because

1:28:30.360 --> 1:28:31.799
<v Speaker 2>it's summer, we're gonna talk some barbecue.

1:28:31.840 --> 1:28:35.479
<v Speaker 11>Okay with that, Well, I mean not, It's not just

1:28:35.560 --> 1:28:39.000
<v Speaker 11>like a summer fun session, right, because this actually is

1:28:39.280 --> 1:28:43.639
<v Speaker 11>very closely connected to markets, to inflation, to the FED,

1:28:44.000 --> 1:28:46.040
<v Speaker 11>because the costs have been soaring.

1:28:46.200 --> 1:28:48.880
<v Speaker 2>I just said we're gonna take a break. Okay, gosh, okay,

1:28:49.000 --> 1:28:52.040
<v Speaker 2>can you just follow my lead? Okay, all right, let's

1:28:52.040 --> 1:28:52.360
<v Speaker 2>get to it.

1:28:52.400 --> 1:28:52.639
<v Speaker 7>Lower.

1:28:52.680 --> 1:28:54.400
<v Speaker 2>Ray Dickie is with us. She's CEO of the more

1:28:54.400 --> 1:28:57.240
<v Speaker 2>than eighty year old family run barbecue franchise business, Dicky's

1:28:57.240 --> 1:29:00.960
<v Speaker 2>Barbecue Restaurant. It's based in Dallas. Six hundred and fifty

1:29:01.000 --> 1:29:05.639
<v Speaker 2>Dickeys Barbecue pits locations in forty four US dates eight

1:29:05.720 --> 1:29:07.800
<v Speaker 2>other countries. I want to confirm some of these numbers

1:29:07.840 --> 1:29:10.320
<v Speaker 2>with her. Laura joining us on Zoom in Texas. Laura

1:29:10.360 --> 1:29:13.160
<v Speaker 2>is so delighted to have you here with Matt and myself.

1:29:13.200 --> 1:29:14.679
<v Speaker 2>And I hate to say it, I'm going to say

1:29:14.760 --> 1:29:20.679
<v Speaker 2>he is right because labor beef, this is certainly our world.

1:29:20.760 --> 1:29:23.200
<v Speaker 2>First of all the business of barbecue. How's it going?

1:29:23.280 --> 1:29:24.040
<v Speaker 2>Tell us about it.

1:29:24.640 --> 1:29:26.840
<v Speaker 15>You know, in general, the business of barbecue is good,

1:29:27.040 --> 1:29:30.360
<v Speaker 15>but you are absolutely right, those macroeconomic factors that you

1:29:30.479 --> 1:29:32.639
<v Speaker 15>see and you talk about every day all the time

1:29:32.880 --> 1:29:35.800
<v Speaker 15>are definitely affecting us because you know, I hate to

1:29:35.800 --> 1:29:38.679
<v Speaker 15>say this for Duncan, but America runs on trucks actually,

1:29:39.080 --> 1:29:42.360
<v Speaker 15>and so every part of the supply chain has stress

1:29:42.439 --> 1:29:45.240
<v Speaker 15>for us, whether that's it's all the fuel costs, labor

1:29:45.280 --> 1:29:48.880
<v Speaker 15>costs are beef packers, for example, going to a shorter

1:29:49.000 --> 1:29:52.200
<v Speaker 15>work week is directly affecting the price of beef in

1:29:52.240 --> 1:29:54.479
<v Speaker 15>the market. You know, the beef average this year has

1:29:54.479 --> 1:29:57.519
<v Speaker 15>been out about about four dollars and eighty three cents.

1:29:57.560 --> 1:29:59.599
<v Speaker 15>That's about two cents higher than it was in an

1:29:59.600 --> 1:30:02.519
<v Speaker 15>all time last year. You know, our price actually is

1:30:02.560 --> 1:30:05.280
<v Speaker 15>about three thirty four pound because of our purchasing power,

1:30:05.560 --> 1:30:08.120
<v Speaker 15>we're actually with the number of restaurants that we have

1:30:08.960 --> 1:30:12.719
<v Speaker 15>one of the largest, the largest purchaser of beef brisket

1:30:12.840 --> 1:30:16.040
<v Speaker 15>in the country in the restaurant space. And so you know,

1:30:16.160 --> 1:30:19.360
<v Speaker 15>we really really feel that food inflation. And so while

1:30:19.400 --> 1:30:22.400
<v Speaker 15>business is good, we've certainly had to be very proactive.

1:30:23.000 --> 1:30:26.000
<v Speaker 15>We've taken many reductions, you know, actually in our eighty

1:30:26.040 --> 1:30:28.880
<v Speaker 15>two year history, and this is the largest menu reduction

1:30:28.960 --> 1:30:31.479
<v Speaker 15>we've ever taken. We've cut our menu by forty one

1:30:31.560 --> 1:30:35.000
<v Speaker 15>percent to fight food inflation, to keep from passing on

1:30:35.360 --> 1:30:37.320
<v Speaker 15>all of those costs to our guests.

1:30:37.400 --> 1:30:42.519
<v Speaker 11>So certainly, chet, let me, let's let's try and break

1:30:42.520 --> 1:30:46.880
<v Speaker 11>this down a little bit. Because so first of all,

1:30:46.920 --> 1:30:49.880
<v Speaker 11>on your menu, when you see prices of beef, I

1:30:49.880 --> 1:30:54.400
<v Speaker 11>think have risen a lot more than pork, has risen

1:30:54.439 --> 1:30:57.160
<v Speaker 11>more than chicken. If i'm if I'm not mistaken, I

1:30:57.200 --> 1:31:00.120
<v Speaker 11>know that feed costs are much higher than cattle, it

1:31:00.200 --> 1:31:04.320
<v Speaker 11>is smaller. And so what does this mean for your menu?

1:31:04.439 --> 1:31:07.280
<v Speaker 11>Do you raise the price then of your beef products?

1:31:07.360 --> 1:31:10.559
<v Speaker 11>Are people choosing more chicken? Are you trying to offer

1:31:10.640 --> 1:31:15.400
<v Speaker 11>more interesting chicken, you know, entrees so that people take

1:31:15.400 --> 1:31:17.800
<v Speaker 11>those instead of pork? How does it? How do you

1:31:17.840 --> 1:31:18.320
<v Speaker 11>work it out?

1:31:19.320 --> 1:31:21.760
<v Speaker 15>Absolutely well? So, first, you're absolutely right, beef has been

1:31:21.760 --> 1:31:24.880
<v Speaker 15>the most effective. It has the largest market cycle, if

1:31:24.880 --> 1:31:27.320
<v Speaker 15>you will, it's actually a ten year cycle, but the

1:31:27.400 --> 1:31:30.360
<v Speaker 15>last three years or really make the most difference in

1:31:30.760 --> 1:31:33.040
<v Speaker 15>that price per pound that you're seeing when you pay

1:31:33.120 --> 1:31:35.560
<v Speaker 15>you go to the grocery store, you certainly go to restaurants,

1:31:35.600 --> 1:31:37.639
<v Speaker 15>and so that price per pound hid an all time

1:31:37.760 --> 1:31:40.599
<v Speaker 15>high last year, and again we're two cents above that

1:31:41.600 --> 1:31:44.600
<v Speaker 15>this year, and we expect that to stay stable, but

1:31:44.680 --> 1:31:47.080
<v Speaker 15>in order to you know, not pass all of that

1:31:47.200 --> 1:31:50.080
<v Speaker 15>onto guests, which there's certainly a tolerance that that market

1:31:50.120 --> 1:31:53.080
<v Speaker 15>tolerance that guests just can't simply absorb you price yourself

1:31:53.120 --> 1:31:55.479
<v Speaker 15>out of the market. So we certainly do shift to pork.

1:31:55.520 --> 1:31:57.679
<v Speaker 15>It's certainly that for us the summer of pulled pork,

1:31:57.680 --> 1:32:00.519
<v Speaker 15>if you will. We have a wonderful pulled pork sandwich,

1:32:00.760 --> 1:32:04.320
<v Speaker 15>our kicken comeback sandwich, which is great pulled pork with

1:32:04.360 --> 1:32:08.360
<v Speaker 15>some wonderful kicking comeback claw on it. And we're doing

1:32:08.439 --> 1:32:11.760
<v Speaker 15>that intentionally to guide guests towards pork. Chicken is in

1:32:11.840 --> 1:32:14.160
<v Speaker 15>a good place. It's still high, but not as high

1:32:14.200 --> 1:32:16.679
<v Speaker 15>as it has been. It's about three dollars and sixty

1:32:16.720 --> 1:32:19.120
<v Speaker 15>two cents a pound right now. It's certainly taken a

1:32:19.160 --> 1:32:21.960
<v Speaker 15>break from its high two years ago. And you can

1:32:22.040 --> 1:32:24.439
<v Speaker 15>see the influx of the wing business as well as

1:32:24.479 --> 1:32:26.680
<v Speaker 15>the Avian flu and some other things like that, but

1:32:26.800 --> 1:32:29.640
<v Speaker 15>chicken has just a much shorter market cycle, so it

1:32:29.680 --> 1:32:33.280
<v Speaker 15>can recover much quicker so that you'll see the flux

1:32:33.439 --> 1:32:36.240
<v Speaker 15>of chicken more so, and that's why you'll see specials

1:32:36.320 --> 1:32:38.920
<v Speaker 15>roll on and off with chicken with more frequency. Although

1:32:38.920 --> 1:32:41.400
<v Speaker 15>there's a lot of chicken in the market, it's one

1:32:41.439 --> 1:32:43.439
<v Speaker 15>of the most popular proteins out there, so you have

1:32:43.479 --> 1:32:45.040
<v Speaker 15>to be kind of careful with that because it can

1:32:45.160 --> 1:32:48.519
<v Speaker 15>really fluctuate pricing again due to that short of market.

1:32:48.520 --> 1:32:51.120
<v Speaker 2>So there's nothing like that. I'm I'm going to say,

1:32:51.120 --> 1:32:52.599
<v Speaker 2>there's nothing like a brisket sandwich.

1:32:54.240 --> 1:32:54.960
<v Speaker 15>I agree with you.

1:32:55.120 --> 1:32:57.439
<v Speaker 2>I love brisket well. So then how do you guys

1:32:57.479 --> 1:32:59.960
<v Speaker 2>deal with some of the stress points? I'm assuming wages too,

1:33:00.200 --> 1:33:01.919
<v Speaker 2>and labor is another issue, right.

1:33:02.320 --> 1:33:06.000
<v Speaker 15>It is, And that's where it's really challenging for folks

1:33:06.320 --> 1:33:08.600
<v Speaker 15>in the business at large, in the restaurant industry is

1:33:08.640 --> 1:33:10.920
<v Speaker 15>because again going back to that supply chain, there is

1:33:11.000 --> 1:33:14.320
<v Speaker 15>stress at every point in the supply chain, whether it's

1:33:14.360 --> 1:33:17.040
<v Speaker 15>the fuel costs for the trucks to get there. And

1:33:17.080 --> 1:33:20.080
<v Speaker 15>with the restaurant business, you have labor not only in

1:33:20.120 --> 1:33:23.000
<v Speaker 15>the supply chain, but obviously in the restaurants themselves, and

1:33:23.040 --> 1:33:26.400
<v Speaker 15>then the food inflation that all guests all consumers are feeling.

1:33:26.439 --> 1:33:28.840
<v Speaker 15>We certainly feel as well. So you have that and

1:33:28.880 --> 1:33:31.840
<v Speaker 15>you have to be really, really really careful about where

1:33:31.880 --> 1:33:35.080
<v Speaker 15>you can take price, but you also have to maintain value.

1:33:35.080 --> 1:33:37.479
<v Speaker 15>And so for us, we shrunk our menu down to

1:33:37.520 --> 1:33:40.320
<v Speaker 15>our core proteins. We cut anything from the menu that

1:33:40.360 --> 1:33:43.160
<v Speaker 15>we didn't feel that we could pass on, you know,

1:33:43.280 --> 1:33:45.160
<v Speaker 15>what we would have to in order to sell that.

1:33:45.240 --> 1:33:47.920
<v Speaker 15>For example, we cut smoke turkey, which has been a

1:33:47.960 --> 1:33:50.360
<v Speaker 15>staple for us and it will only be here for

1:33:50.400 --> 1:33:52.639
<v Speaker 15>the holidays, but we just didn't feel that we could

1:33:52.680 --> 1:33:55.200
<v Speaker 15>pass that on to the guest, and so we made

1:33:55.200 --> 1:33:56.480
<v Speaker 15>that menu reduction.

1:33:56.280 --> 1:33:57.720
<v Speaker 2>Go back to diesel. Because I just looked at Matt,

1:33:57.760 --> 1:33:59.719
<v Speaker 2>I'm like, how many energy costs come down? Is like diesel?

1:33:59.800 --> 1:33:59.920
<v Speaker 13>Right?

1:34:00.080 --> 1:34:01.560
<v Speaker 2>You guys use diesel to cook it?

1:34:01.640 --> 1:34:01.760
<v Speaker 13>All?

1:34:01.880 --> 1:34:02.120
<v Speaker 10>Right?

1:34:02.320 --> 1:34:05.639
<v Speaker 15>Usually? Well we do, so we use it. There's lots

1:34:05.680 --> 1:34:08.160
<v Speaker 15>of different pieces, but yes we do. But it's certainly

1:34:08.200 --> 1:34:10.599
<v Speaker 15>in the restaurant in the cooking process, but it's also

1:34:10.640 --> 1:34:13.720
<v Speaker 15>in the freight everything. And sometimes what people forget is

1:34:13.760 --> 1:34:16.600
<v Speaker 15>when you look at all of the markets that you

1:34:16.680 --> 1:34:20.280
<v Speaker 15>see a lot of different opportunities in retail or folks

1:34:20.280 --> 1:34:23.280
<v Speaker 15>that have longer shelf life on their products. But for us,

1:34:23.280 --> 1:34:25.960
<v Speaker 15>because we have two to three days of perishable product

1:34:26.000 --> 1:34:29.360
<v Speaker 15>on hand, we're so susceptible to what the markets are doing.

1:34:29.640 --> 1:34:33.120
<v Speaker 15>And so it's very, very very hard to be able

1:34:33.160 --> 1:34:36.040
<v Speaker 15>to work around that labor cost of stress points, that

1:34:36.120 --> 1:34:39.519
<v Speaker 15>fuel costs, the labor shortages, and then what the commodity

1:34:39.520 --> 1:34:42.040
<v Speaker 15>markets do. And so we're thankfully in a position where

1:34:42.040 --> 1:34:45.880
<v Speaker 15>we have enough restaurants and we have enough purchasing power

1:34:45.880 --> 1:34:48.800
<v Speaker 15>in the market that we can again kind of speculate

1:34:48.840 --> 1:34:52.800
<v Speaker 15>out by buy with speculation, buy and hold, do those

1:34:52.800 --> 1:34:55.439
<v Speaker 15>sorts of things that a lot of smaller restaurant chains

1:34:55.479 --> 1:34:57.880
<v Speaker 15>don't have the opportunity to do, or mom and pop

1:34:58.040 --> 1:34:59.240
<v Speaker 15>may not have the opportunity.

1:34:59.360 --> 1:35:01.320
<v Speaker 11>Take us back, Laura Ray, and talk to us about

1:35:01.320 --> 1:35:03.920
<v Speaker 11>the business and your involvement in it, because I think

1:35:03.920 --> 1:35:06.080
<v Speaker 11>a lot of people are listening. You know, they think

1:35:06.200 --> 1:35:08.599
<v Speaker 11>of Dickies as this family owned business and they're like,

1:35:08.720 --> 1:35:13.000
<v Speaker 11>how come you know, I don't know, Travis, Dicky's granddaughter

1:35:13.120 --> 1:35:16.960
<v Speaker 11>is like a PhD economist. But you actually have extensive

1:35:17.040 --> 1:35:22.320
<v Speaker 11>experience in the markets. You've worked with agencies and covered

1:35:22.360 --> 1:35:27.400
<v Speaker 11>big restaurant chains like Chick fil A and others. So

1:35:27.479 --> 1:35:30.559
<v Speaker 11>you have you come to this CEO position with real

1:35:30.640 --> 1:35:33.960
<v Speaker 11>experience in the industry and you have really grown the business.

1:35:33.960 --> 1:35:36.120
<v Speaker 11>You have six hundred and fifty restaurants around the world.

1:35:36.120 --> 1:35:38.920
<v Speaker 11>It's not just like one barbecue pit in Texas. So

1:35:39.200 --> 1:35:40.719
<v Speaker 11>tell us, tell us about the business.

1:35:40.800 --> 1:35:42.960
<v Speaker 2>My family in Texas would say just would not be

1:35:43.000 --> 1:35:45.360
<v Speaker 2>the way to say Texas is a good place to be.

1:35:45.520 --> 1:35:49.280
<v Speaker 15>Anyway, go ahead, Well, you know, actually I'm married in

1:35:49.360 --> 1:35:51.880
<v Speaker 15>I will say that, so I'm actually the granddaughter in law.

1:35:52.520 --> 1:35:54.920
<v Speaker 15>I missed a meeting and got demoted to CEO, is

1:35:54.920 --> 1:35:57.439
<v Speaker 15>how I like to put it. But I did. I

1:35:57.520 --> 1:35:59.840
<v Speaker 15>did have a lot of experience in the industry before

1:35:59.880 --> 1:36:03.000
<v Speaker 15>I joined actually married and met Roland and then was

1:36:03.080 --> 1:36:05.559
<v Speaker 15>drafted into service and thought it would be temporary. And

1:36:05.880 --> 1:36:09.280
<v Speaker 15>here I stand today. But it's been just that kind of.

1:36:09.280 --> 1:36:13.320
<v Speaker 16>Journey of working always in hospitality, technology and strategic planning

1:36:13.680 --> 1:36:17.080
<v Speaker 16>and a lot of restaurant clients in that genre, and

1:36:17.120 --> 1:36:19.360
<v Speaker 16>so have worked with lots of different brands and there's

1:36:19.400 --> 1:36:20.960
<v Speaker 16>a lot of similarity, and then there's a.

1:36:20.880 --> 1:36:24.320
<v Speaker 15>Lot that's unique about Dickies. But we certainly have grown it.

1:36:24.600 --> 1:36:27.040
<v Speaker 15>We are now third generation. We are still family owned

1:36:27.080 --> 1:36:30.000
<v Speaker 15>and operated. I would love for guests to just think

1:36:30.040 --> 1:36:32.599
<v Speaker 15>that their neighborhood Dickies is the only Dickies. I think,

1:36:32.640 --> 1:36:36.280
<v Speaker 15>then we're doing something right, because that's how barbecue should feel.

1:36:36.320 --> 1:36:39.519
<v Speaker 15>It's that passion food. It's really an experience. We smoke

1:36:39.560 --> 1:36:41.960
<v Speaker 15>all of our meats on site. You go in and

1:36:42.000 --> 1:36:44.280
<v Speaker 15>you should be able to smell that hickory smoke. You

1:36:44.280 --> 1:36:47.439
<v Speaker 15>should be able to have that experience where you're hand chopped,

1:36:47.479 --> 1:36:49.880
<v Speaker 15>sliced or if you are a pulled coort fan that

1:36:50.000 --> 1:36:50.679
<v Speaker 15>brass stop.

1:36:50.840 --> 1:36:54.680
<v Speaker 2>I'm starving, pet starving now, So wait, just quickly, we

1:36:54.720 --> 1:36:56.960
<v Speaker 2>only have about thirty seconds. Where's the growth come? Because

1:36:57.000 --> 1:36:59.519
<v Speaker 2>you led the company into international expansion? Is that the

1:36:59.560 --> 1:37:02.720
<v Speaker 2>growth and unfortunately just got about thirty seconds left.

1:37:03.360 --> 1:37:06.160
<v Speaker 15>Yes, there's international growth, but there is still domestic growth.

1:37:06.160 --> 1:37:08.759
<v Speaker 15>Believe it or not. California is our second largest market,

1:37:08.840 --> 1:37:11.880
<v Speaker 15>so it's not all vegan country out there. Folks still

1:37:11.920 --> 1:37:14.799
<v Speaker 15>do like their barbecue, and there's just opportunity in barbecue.

1:37:14.800 --> 1:37:16.519
<v Speaker 15>There's a lot of burgers, there's a lot of chicken,

1:37:16.560 --> 1:37:19.640
<v Speaker 15>but there's less and less a really really great barbecue.

1:37:19.680 --> 1:37:21.760
<v Speaker 15>So there's still markets here.

1:37:21.800 --> 1:37:23.439
<v Speaker 2>It's funny you said californ because I was gonna say,

1:37:23.439 --> 1:37:25.880
<v Speaker 2>what about plant based barbecue? Is that something that you

1:37:25.920 --> 1:37:27.080
<v Speaker 2>have to think about just real quick?

1:37:27.240 --> 1:37:31.519
<v Speaker 15>Yeah, God, no, no, no, you know what that's I

1:37:31.640 --> 1:37:34.400
<v Speaker 15>like to say, we can serve something for everybody. That's

1:37:34.439 --> 1:37:36.840
<v Speaker 15>where we would do a giant stuff baker without meat,

1:37:36.920 --> 1:37:40.440
<v Speaker 15>but everything else will be real traditional barbecue.

1:37:40.479 --> 1:37:43.080
<v Speaker 2>All right, Well, come back soon, Loorery Dicky, but you

1:37:43.120 --> 1:37:47.360
<v Speaker 2>have to bring some barbecue next time. Louray Dicky. She's

1:37:47.439 --> 1:37:51.160
<v Speaker 2>chief executive officer of Dicky's Barbecue Restaurants. On Zoom from Dallas.

1:37:51.240 --> 1:37:51.920
<v Speaker 2>I'm starved.

1:37:52.000 --> 1:37:53.760
<v Speaker 11>I can't wait to go to a Dickie's. I'm going

1:37:53.840 --> 1:37:55.840
<v Speaker 11>to find any reason to get on a plane and go.

1:37:56.880 --> 1:38:00.479
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:38:00.479 --> 1:38:04.519
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

1:38:04.680 --> 1:38:07.960
<v Speaker 1>the Bloomberg Business App and YouTube. You can also listen

1:38:08.080 --> 1:38:11.200
<v Speaker 1>live on Amazon Alexa from our flagship New York station

1:38:11.640 --> 1:38:14.760
<v Speaker 1>Just Say Alexa playing Bloomberg eleven thirty.

1:38:16.120 --> 1:38:18.519
<v Speaker 2>People are going on vacation, folks. We are in the

1:38:18.560 --> 1:38:21.479
<v Speaker 2>thick of summer. We're from the US airlines too. Over

1:38:21.479 --> 1:38:24.679
<v Speaker 2>the past week or so, United just yesterday, latest major

1:38:24.760 --> 1:38:28.240
<v Speaker 2>US carrier to benefit from strength and global travel. Yeah,

1:38:28.280 --> 1:38:29.360
<v Speaker 2>aren't you going overseas?

1:38:29.400 --> 1:38:31.200
<v Speaker 11>I'm going to Spain next week.

1:38:31.560 --> 1:38:33.920
<v Speaker 2>See, so everybody's on vacation.

1:38:33.720 --> 1:38:34.840
<v Speaker 11>Not looking forward to it?

1:38:34.920 --> 1:38:36.360
<v Speaker 6>Why so hot?

1:38:36.720 --> 1:38:39.040
<v Speaker 2>I know it's hot, It's yeah, it's going to be rough.

1:38:39.840 --> 1:38:41.880
<v Speaker 11>I want to go to Alaska. Do you want to

1:38:41.920 --> 1:38:44.479
<v Speaker 11>go to the Arctic right now? I need to be

1:38:44.560 --> 1:38:45.200
<v Speaker 11>somewhere cool.

1:38:45.360 --> 1:38:46.320
<v Speaker 2>Fyi it's melting.

1:38:46.560 --> 1:38:49.040
<v Speaker 11>Yeah, I know, but at least it's still chilly.

1:38:49.080 --> 1:38:52.160
<v Speaker 2>All right, So let's get to it. Let's talk about vacationing,

1:38:52.400 --> 1:38:55.120
<v Speaker 2>demand and pricing. I'm curious what our next guest to see.

1:38:55.160 --> 1:38:58.800
<v Speaker 2>Montage International founder, chairman and CEO, Alan Firstman is with

1:38:58.880 --> 1:39:02.839
<v Speaker 2>us on zoom is in Maui. Montage is a luxury

1:39:02.840 --> 1:39:05.960
<v Speaker 2>hospital to that, but at a luxury hospitality management company.

1:39:06.120 --> 1:39:09.520
<v Speaker 2>Try that again. It's got properties in California, Mexico, Bahamas

1:39:09.560 --> 1:39:12.840
<v Speaker 2>and more. Alan, Nice to be talking with you again.

1:39:12.880 --> 1:39:14.320
<v Speaker 2>How are you. I think it's been about a year.

1:39:15.200 --> 1:39:16.320
<v Speaker 2>Talk to us about great.

1:39:16.400 --> 1:39:17.120
<v Speaker 6>Great to be back.

1:39:17.240 --> 1:39:19.639
<v Speaker 2>Well, great to have you. How busy are you guys?

1:39:19.680 --> 1:39:20.360
<v Speaker 2>What are you seeing?

1:39:21.479 --> 1:39:26.640
<v Speaker 10>We're in the middle of summer. Busy summer. The resorts

1:39:26.680 --> 1:39:30.400
<v Speaker 10>have been the place to escape the heat and enjoy

1:39:30.479 --> 1:39:34.320
<v Speaker 10>the relaxation. See a lot of families traveling and an

1:39:34.320 --> 1:39:35.400
<v Speaker 10>exciting time for us.

1:39:35.920 --> 1:39:39.360
<v Speaker 11>So what's it like out there? I mean, Hawaii is

1:39:39.360 --> 1:39:42.920
<v Speaker 11>like a bucket list place for me. I've also seen

1:39:43.000 --> 1:39:47.960
<v Speaker 11>Mawana like a thousand times, so he has a young daughter, Maui.

1:39:48.120 --> 1:39:50.200
<v Speaker 11>The name Maui has a special place in my heart.

1:39:50.800 --> 1:39:54.240
<v Speaker 11>But it's hot here. I can't imagine wanting to go outside.

1:39:54.240 --> 1:39:55.080
<v Speaker 11>What's it like there?

1:39:56.080 --> 1:39:58.479
<v Speaker 6>Well, here, it's tropical beautiful.

1:39:58.520 --> 1:40:00.840
<v Speaker 10>I mean, the beaches and the pools amazing. I'm here

1:40:00.880 --> 1:40:07.000
<v Speaker 10>with five grandchildren and extended family. It's just a great

1:40:07.040 --> 1:40:10.439
<v Speaker 10>opportunity to work a little bit in the morning and

1:40:10.479 --> 1:40:13.479
<v Speaker 10>relax and enjoy the afternoons with the family.

1:40:13.680 --> 1:40:17.720
<v Speaker 2>But eighty one degrees Matt, Oh, that's nice humidity.

1:40:17.880 --> 1:40:21.240
<v Speaker 11>I'm just trying to get to what this heat wave

1:40:21.479 --> 1:40:23.879
<v Speaker 11>and what these air quality issues. What kind of effect

1:40:23.880 --> 1:40:25.400
<v Speaker 11>has that had on travel?

1:40:27.000 --> 1:40:30.559
<v Speaker 6>Well, I mean there's an escape to markets that aren't as.

1:40:30.479 --> 1:40:35.559
<v Speaker 10>Hot I would imagine, and it's important that those areas

1:40:35.600 --> 1:40:39.160
<v Speaker 10>that are hot are taking all the necessary precautions to

1:40:39.200 --> 1:40:41.720
<v Speaker 10>make sure the staff stays hydrated. And there's plenty of

1:40:41.760 --> 1:40:44.720
<v Speaker 10>water stations for guests. We've taken some additional steps of

1:40:44.800 --> 1:40:48.000
<v Speaker 10>late to make sure that there's plenty of water everywhere,

1:40:48.600 --> 1:40:51.200
<v Speaker 10>but hotels and resources are a good place generally to

1:40:51.280 --> 1:40:52.200
<v Speaker 10>escape the heat.

1:40:52.400 --> 1:40:54.439
<v Speaker 2>All Right, So let's like we said, it's about a

1:40:54.520 --> 1:40:56.719
<v Speaker 2>year since we last talked with you. Give me an idea.

1:40:57.240 --> 1:41:00.240
<v Speaker 2>You say, great, everything is a good place to be,

1:41:00.360 --> 1:41:03.000
<v Speaker 2>But give me an idea in terms of demand and pricing.

1:41:03.040 --> 1:41:04.840
<v Speaker 2>What it's like. Is demand up from a year ago?

1:41:05.080 --> 1:41:07.679
<v Speaker 2>Is it down from a year ago? What's pricing light?

1:41:07.760 --> 1:41:10.320
<v Speaker 2>Is pricing like in terms of deals? Is it softer?

1:41:10.600 --> 1:41:12.800
<v Speaker 11>I will say, allan, we saw AMX today. They had

1:41:12.960 --> 1:41:17.719
<v Speaker 11>record volumes, but since they had such difficult comps because

1:41:17.760 --> 1:41:20.080
<v Speaker 11>last year was so great, the market was a little

1:41:20.080 --> 1:41:20.840
<v Speaker 11>bit disappointed.

1:41:22.160 --> 1:41:26.760
<v Speaker 10>Yeah, I think I think pricing might have has come

1:41:26.840 --> 1:41:29.040
<v Speaker 10>down a little bit over the highs of last year

1:41:29.080 --> 1:41:31.280
<v Speaker 10>when you think about so much of the luxury travel

1:41:31.320 --> 1:41:33.599
<v Speaker 10>heading to Europe and other markets that have opened up

1:41:33.760 --> 1:41:39.120
<v Speaker 10>that weren't available a year ago, but well above conditions

1:41:39.280 --> 1:41:43.639
<v Speaker 10>pre pandemic. So we're seeing some relatively strong numbers still.

1:41:43.720 --> 1:41:48.240
<v Speaker 10>So that's a very positive sign. And we're just seeing

1:41:49.520 --> 1:41:55.240
<v Speaker 10>that there's continued demand for highly differentiated special places.

1:41:55.880 --> 1:41:58.519
<v Speaker 2>What about for you guys specifically, right, you're involved in

1:41:58.520 --> 1:42:01.160
<v Speaker 2>the management of these properties. Do you have the workers

1:42:01.160 --> 1:42:04.080
<v Speaker 2>you need? Are you again having to pay up for them?

1:42:04.560 --> 1:42:07.519
<v Speaker 10>Well, we've had to pay up, but there's been certainly

1:42:07.560 --> 1:42:13.080
<v Speaker 10>a rise in costs, and again it's been market by market.

1:42:13.240 --> 1:42:17.920
<v Speaker 10>Some markets have been less difficult to attract labor, but

1:42:18.000 --> 1:42:20.639
<v Speaker 10>it's an important component of what we do. You've seen though,

1:42:20.880 --> 1:42:23.200
<v Speaker 10>part of the pricing increases that have been passed on

1:42:23.280 --> 1:42:28.519
<v Speaker 10>to guests have come from the need to pay up,

1:42:29.280 --> 1:42:34.400
<v Speaker 10>both for wages and for cost of goods. That's been

1:42:34.439 --> 1:42:38.200
<v Speaker 10>the story of the inflationary time period we've been going through.

1:42:38.200 --> 1:42:40.479
<v Speaker 10>It's good to see it settling down a little bit

1:42:40.680 --> 1:42:45.280
<v Speaker 10>and we're somewhat optimistic that things will stabilize. We've had

1:42:45.280 --> 1:42:47.720
<v Speaker 10>a very strong workforce fect we're in the process of

1:42:47.800 --> 1:42:50.960
<v Speaker 10>opening Pendry Newport Beach, which is going to open in September,

1:42:51.439 --> 1:42:54.920
<v Speaker 10>and we're hiring over four hundred new associates there and

1:42:55.040 --> 1:42:59.120
<v Speaker 10>have had great success in attracting and finding superior talent.

1:43:00.240 --> 1:43:04.840
<v Speaker 11>Are there any have trend shifted at all, you know,

1:43:05.360 --> 1:43:08.400
<v Speaker 11>pre pandemic to now in terms of where people want

1:43:08.439 --> 1:43:11.320
<v Speaker 11>to go, what they want to do what they're budgeting.

1:43:11.439 --> 1:43:15.479
<v Speaker 11>I mean, are they focused more on vacations, because certainly

1:43:15.520 --> 1:43:17.760
<v Speaker 11>I think a lot of employees are focused more on

1:43:18.080 --> 1:43:19.839
<v Speaker 11>life in the work life balance.

1:43:20.880 --> 1:43:22.720
<v Speaker 10>Yeah, I think so, And I think the advent of

1:43:22.760 --> 1:43:26.640
<v Speaker 10>being able to work remotely means doesn't mean working just

1:43:26.720 --> 1:43:27.519
<v Speaker 10>remotely from home.

1:43:27.560 --> 1:43:28.719
<v Speaker 6>Why not extend your.

1:43:28.600 --> 1:43:33.640
<v Speaker 10>Stay at a vacation destination no longer and there's a

1:43:33.640 --> 1:43:36.040
<v Speaker 10>lot of combination. I'll work a little bit, but I'll

1:43:36.080 --> 1:43:39.240
<v Speaker 10>also be enjoying. So we're seeing longer length of stays

1:43:39.600 --> 1:43:43.280
<v Speaker 10>as a result of the need not to get back

1:43:43.320 --> 1:43:45.920
<v Speaker 10>to the office as promptly as we may have years

1:43:46.040 --> 1:43:48.800
<v Speaker 10>a few years back. So that's been a plus for

1:43:49.360 --> 1:43:53.960
<v Speaker 10>us being able to work from our hotels and resorts effectively.

1:43:54.160 --> 1:43:56.400
<v Speaker 2>Ell where are people going? Because you guys have properties

1:43:57.360 --> 1:44:01.200
<v Speaker 2>in Los Cabos, Mexico. I've see in Hawaii where you

1:44:01.240 --> 1:44:07.080
<v Speaker 2>guys are Utah, Laguna Beach, California. I know I'm leaving

1:44:07.080 --> 1:44:08.800
<v Speaker 2>stuff out other places.

1:44:08.640 --> 1:44:10.479
<v Speaker 6>Big Big Sky, Montana, for example.

1:44:10.560 --> 1:44:15.000
<v Speaker 10>It's it's such a such a cool temperature wise and

1:44:15.040 --> 1:44:19.320
<v Speaker 10>otherwise get away. And when we opened there a year ago,

1:44:19.520 --> 1:44:24.000
<v Speaker 10>essentially the first luxury hotel in that market. It's opened

1:44:24.080 --> 1:44:27.679
<v Speaker 10>up a new market, and in the case of Big Sky,

1:44:27.800 --> 1:44:31.559
<v Speaker 10>you're an hour from Yellowstone and you get to experience

1:44:31.600 --> 1:44:34.960
<v Speaker 10>the park but also the luxury amenities, the outdoor lifestyle.

1:44:35.760 --> 1:44:39.480
<v Speaker 10>So we're seeing some newer destinations like Big Sky, Montana,

1:44:39.960 --> 1:44:44.200
<v Speaker 10>and certainly great strength in in the other mountain destinations.

1:44:44.280 --> 1:44:46.320
<v Speaker 6>We were in Deer Valley, we're in we have a

1:44:46.320 --> 1:44:47.160
<v Speaker 6>penry in Park.

1:44:47.040 --> 1:44:52.559
<v Speaker 10>City, so good, good breath across our portfolios. So we're

1:44:52.560 --> 1:44:55.879
<v Speaker 10>seeing we're seeing strong travel throughout.

1:44:56.240 --> 1:44:58.679
<v Speaker 11>Big Sky's also close to Bozeman, so it's an easy

1:44:59.240 --> 1:45:02.240
<v Speaker 11>uh from the airport. And I have to say my family,

1:45:02.280 --> 1:45:05.559
<v Speaker 11>we go skiing in Big Sky, do you love that

1:45:05.760 --> 1:45:10.719
<v Speaker 11>big backcountry? You know, nice off piece, a lot of powder,

1:45:11.160 --> 1:45:11.920
<v Speaker 11>very cool.

1:45:11.800 --> 1:45:12.760
<v Speaker 2>It looks gorgeous.

1:45:13.840 --> 1:45:16.480
<v Speaker 11>Can I ask you, unlus, You've got a very exclusive

1:45:16.840 --> 1:45:19.600
<v Speaker 11>resort on the backside of the mountain. Sounds like Yellowstone?

1:45:19.760 --> 1:45:24.200
<v Speaker 2>Okay, sold? Sold? Is it the But in the Bahamas

1:45:24.280 --> 1:45:28.880
<v Speaker 2>there's a forty eight acre private island resort and community

1:45:28.920 --> 1:45:30.400
<v Speaker 2>that I guess you can rent out.

1:45:32.320 --> 1:45:33.440
<v Speaker 6>We're under construction.

1:45:33.520 --> 1:45:38.200
<v Speaker 10>There were building abacos called Montage Key Private Island. We're

1:45:38.240 --> 1:45:41.360
<v Speaker 10>selling real estate there now, homes, amazing homes, on the

1:45:41.439 --> 1:45:45.720
<v Speaker 10>on the ocean front and building building the resort. Well,

1:45:45.880 --> 1:45:49.240
<v Speaker 10>we should open the end of twenty four, early twenty five,

1:45:49.680 --> 1:45:55.120
<v Speaker 10>and it will be an amazing destination, easily accessible the

1:45:55.280 --> 1:45:58.439
<v Speaker 10>entire East coast, and it'll be a truly global destination,

1:45:58.640 --> 1:46:00.360
<v Speaker 10>very special resort under construction.

1:46:00.840 --> 1:46:04.160
<v Speaker 11>Allen, what's the rates? How is the rates picture affected that?

1:46:04.200 --> 1:46:06.240
<v Speaker 11>Because when you say that, I think, well, I want

1:46:06.240 --> 1:46:08.160
<v Speaker 11>to buy a house there, But then I realize I

1:46:08.160 --> 1:46:10.800
<v Speaker 11>don't want a seven percent mortgage. I guess those people

1:46:10.800 --> 1:46:13.719
<v Speaker 11>maybe pay cash.

1:46:13.840 --> 1:46:20.919
<v Speaker 10>Yes, I think there's the buyer for that market is less?

1:46:21.040 --> 1:46:23.040
<v Speaker 6>Is less interest rates sensitive?

1:46:23.880 --> 1:46:24.160
<v Speaker 13>Yeah?

1:46:24.200 --> 1:46:26.960
<v Speaker 2>Sorry, Matt, Hey, listen twenty years in that you guys

1:46:27.000 --> 1:46:32.439
<v Speaker 2>are happy twentieth anniversary. What's what do you think about?

1:46:32.560 --> 1:46:34.160
<v Speaker 2>You talk about the you know, the development you're doing

1:46:34.200 --> 1:46:36.840
<v Speaker 2>in the Bahamas, but how do you think about what's

1:46:36.880 --> 1:46:37.479
<v Speaker 2>to come.

1:46:37.560 --> 1:46:38.519
<v Speaker 11>The next twenty years?

1:46:39.240 --> 1:46:42.920
<v Speaker 10>Now, we've got fourteen hotels open today, seven Montages and

1:46:42.960 --> 1:46:46.040
<v Speaker 10>seven Pendries, so we have the two luxury brands. We

1:46:46.080 --> 1:46:50.360
<v Speaker 10>have another twelve projects that are either under construction or

1:46:50.400 --> 1:46:53.680
<v Speaker 10>in design right now, and of those, eight are Pendries

1:46:54.200 --> 1:46:58.479
<v Speaker 10>and four are Montages. And we're seeing some real international growth.

1:46:59.360 --> 1:47:06.439
<v Speaker 10>Initially mostly North America. Now we're expanding globally. We've announced

1:47:06.439 --> 1:47:08.600
<v Speaker 10>a couple of projects in the Middle East. We've just

1:47:08.640 --> 1:47:13.839
<v Speaker 10>announced two hotels in Puntomita, which is near Porta Viarta, Mexico,

1:47:14.040 --> 1:47:15.719
<v Speaker 10>both a Montage and a Pendri there.

1:47:15.920 --> 1:47:17.640
<v Speaker 6>We announced a project in Barbados.

1:47:17.880 --> 1:47:20.280
<v Speaker 10>So I think you're going to continue to see both

1:47:20.520 --> 1:47:23.040
<v Speaker 10>domestic and international growth for our company.

1:47:23.200 --> 1:47:25.439
<v Speaker 2>Sounds like you're moving ahead. You're not worried about a recession.

1:47:25.479 --> 1:47:27.639
<v Speaker 2>Are those higher rates? Is that fair? Just got about

1:47:27.640 --> 1:47:30.360
<v Speaker 2>thirty seconds or tell me, yeah, we are.

1:47:30.320 --> 1:47:35.120
<v Speaker 10>But high interst rates are concerning obviously for capitalizing new projects.

1:47:35.160 --> 1:47:35.960
<v Speaker 6>It's obviously a.

1:47:35.880 --> 1:47:40.400
<v Speaker 10>Big concern, and we're hopeful that we've seen the height

1:47:40.640 --> 1:47:41.519
<v Speaker 10>of the interest rates.

1:47:41.560 --> 1:47:43.640
<v Speaker 6>But we are very optimistic.

1:47:43.720 --> 1:47:47.759
<v Speaker 10>We build hotels for generations to come, so we'll withstand

1:47:48.240 --> 1:47:50.960
<v Speaker 10>small blips if they happen, which.

1:47:50.800 --> 1:47:51.519
<v Speaker 6>Are due to happen.

1:47:51.720 --> 1:47:53.760
<v Speaker 11>So cool, you know, to think that a kid from

1:47:53.800 --> 1:47:58.040
<v Speaker 11>New Milford could go to Gettysburg, then he runs the Phoenician,

1:47:58.320 --> 1:48:00.800
<v Speaker 11>then he runs the Bolagio and you found this great,

1:48:00.840 --> 1:48:03.040
<v Speaker 11>big business. I think it's a super a super cool

1:48:03.080 --> 1:48:05.280
<v Speaker 11>story inspiring dream.

1:48:05.320 --> 1:48:07.960
<v Speaker 10>I've got to say how fortunate I've been and yeah

1:48:08.080 --> 1:48:09.679
<v Speaker 10>now I'm truly lucky.

1:48:09.840 --> 1:48:12.040
<v Speaker 2>Well enjoy Maui and always good to check in with you.

1:48:12.080 --> 1:48:15.680
<v Speaker 2>Alan Firstman, founder, chairman and CEO of Montage International joining us.

1:48:15.720 --> 1:48:16.880
<v Speaker 2>As we said from Hawaii.

1:48:17.600 --> 1:48:22.280
<v Speaker 1>This is the Bloomberg Business Week podcast, available on Apple, Spotify,

1:48:22.400 --> 1:48:26.120
<v Speaker 1>and anywhere else you get your podcast. Listen live weekday

1:48:26.160 --> 1:48:29.759
<v Speaker 1>afternoons from three to six Easterning on Bloomberg dot com,

1:48:29.800 --> 1:48:33.160
<v Speaker 1>the iHeartRadio app tune In, and the Bloomberg Business App.

1:48:33.160 --> 1:48:36.240
<v Speaker 1>You can also watch us live every weekday on YouTube

1:48:36.360 --> 1:48:38.360
<v Speaker 1>and always on the Bloomberg terminal