WEBVTT - Bloomberg Businessweek Weekend - June 23rd, 2023

0:00:01.360 --> 0:00:05.720
<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

0:00:05.880 --> 0:00:09.680
<v Speaker 1>editors who bring you America's most trusted business magazine.

0:00:09.119 --> 0:00:12.000
<v Speaker 2>Plus global business finance and tech news.

0:00:12.200 --> 0:00:16.279
<v Speaker 1>The Bloomberg Business Week Podcast with Carol Messer and Tim

0:00:16.320 --> 0:00:19.000
<v Speaker 1>Stenebeck from Bloomberg Radio.

0:00:20.239 --> 0:00:22.560
<v Speaker 3>We begin with our cover story at the latest issue

0:00:22.600 --> 0:00:26.200
<v Speaker 3>at Bloomberg Business Week. It's a finance section takeover centered

0:00:26.200 --> 0:00:29.480
<v Speaker 3>around the outlook for the global commercial property market, and

0:00:29.600 --> 0:00:32.440
<v Speaker 3>as we're about to learn, it's not pretty. Let's welcome

0:00:32.479 --> 0:00:34.760
<v Speaker 3>in our Bloomberg News real estate reporting team of Patrick

0:00:34.800 --> 0:00:37.239
<v Speaker 3>Clark and Natalie Wong, along with the editor of the magazine,

0:00:37.320 --> 0:00:39.800
<v Speaker 3>Joel Weber and you know, Joe, as you point out

0:00:39.840 --> 0:00:42.600
<v Speaker 3>and you guys point out in this section that the

0:00:42.640 --> 0:00:45.080
<v Speaker 3>sector really has not come back from the pandemic. It's

0:00:45.080 --> 0:00:45.920
<v Speaker 3>still dealing with that.

0:00:46.240 --> 0:00:46.480
<v Speaker 4>Yeah.

0:00:46.600 --> 0:00:50.360
<v Speaker 5>Look, we've been talking about commercial real estate for most

0:00:50.400 --> 0:00:52.720
<v Speaker 5>of the pandemic because that was a return, you know,

0:00:52.760 --> 0:00:55.360
<v Speaker 5>the return to office started to become a thing, except

0:00:55.480 --> 0:00:59.240
<v Speaker 5>that never really took off. And what we realized here

0:00:59.280 --> 0:01:01.280
<v Speaker 5>and what we tried to bring together in this cover

0:01:01.320 --> 0:01:05.319
<v Speaker 5>package is that the commercial real estate outlook is looking

0:01:05.640 --> 0:01:08.839
<v Speaker 5>really scary and there's a lot of debt that looks

0:01:08.920 --> 0:01:13.319
<v Speaker 5>like a wall, and the strategy that the industry is

0:01:13.440 --> 0:01:17.480
<v Speaker 5>used to basically finance buildings may not work anymore in

0:01:17.520 --> 0:01:20.160
<v Speaker 5>the current environment, and so that sets up a really

0:01:20.200 --> 0:01:23.360
<v Speaker 5>precarious situation, and we wanted to put all of our

0:01:23.480 --> 0:01:26.279
<v Speaker 5>wits to that and turn it into a global effort

0:01:26.319 --> 0:01:26.720
<v Speaker 5>as much.

0:01:26.640 --> 0:01:27.119
<v Speaker 4>As we could.

0:01:27.200 --> 0:01:28.880
<v Speaker 3>So pat common in on this in terms of how

0:01:28.920 --> 0:01:30.119
<v Speaker 3>you guys were thinking about it.

0:01:30.840 --> 0:01:34.480
<v Speaker 6>Yeah, I think most people would say that high interest

0:01:34.560 --> 0:01:36.680
<v Speaker 6>rates are okay for real estate. We've had high interest

0:01:36.720 --> 0:01:40.959
<v Speaker 6>rates in the past. But the transition from exceedingly low

0:01:41.040 --> 0:01:44.240
<v Speaker 6>interest rates as low as can be to higher interest

0:01:44.319 --> 0:01:46.640
<v Speaker 6>rates where we were where we are now happened so

0:01:46.800 --> 0:01:51.400
<v Speaker 6>fast that something has to break. And right now we've

0:01:51.440 --> 0:01:53.520
<v Speaker 6>been sort of that. We're in this period where we're

0:01:53.520 --> 0:01:57.760
<v Speaker 6>trying to put that off as long as possible.

0:01:58.320 --> 0:02:02.000
<v Speaker 3>And it's like, darn you, Fed, but it just happened

0:02:02.040 --> 0:02:02.520
<v Speaker 3>so fast.

0:02:02.720 --> 0:02:04.560
<v Speaker 6>Listen, it's not even you know, I mean, the FED

0:02:04.760 --> 0:02:07.440
<v Speaker 6>had to intervene in March twenty twenty when it looked

0:02:07.480 --> 0:02:11.040
<v Speaker 6>like the COVID was going to really kind of completely

0:02:11.040 --> 0:02:14.440
<v Speaker 6>blow up the economy, the global financial system, everything. But

0:02:15.120 --> 0:02:17.519
<v Speaker 6>you know, we're still dealing with the reverberations from that.

0:02:17.680 --> 0:02:19.639
<v Speaker 3>Natalie come on in as well, because I do think,

0:02:19.720 --> 0:02:22.160
<v Speaker 3>you know, the financial crisis, right, a different type of

0:02:22.200 --> 0:02:24.800
<v Speaker 3>real estate crisis. We know that was largely residential. But

0:02:24.840 --> 0:02:27.520
<v Speaker 3>I do feel like everyone thought, maybe we've learned some lessons,

0:02:27.560 --> 0:02:30.240
<v Speaker 3>but maybe those same lessons aren't going to apply in

0:02:30.280 --> 0:02:31.400
<v Speaker 3>this environment, right.

0:02:31.440 --> 0:02:33.040
<v Speaker 7>I mean, I think when we're looking at the property

0:02:33.080 --> 0:02:35.520
<v Speaker 7>market and the US alone, at least, most of the

0:02:35.520 --> 0:02:38.560
<v Speaker 7>distress that we're seeing is concentrated in offices where you're

0:02:38.600 --> 0:02:41.919
<v Speaker 7>seeing sort of a double whammy of existential questions about

0:02:41.960 --> 0:02:45.280
<v Speaker 7>how much space people actually need and the fallout from

0:02:45.280 --> 0:02:48.639
<v Speaker 7>the pandemic, and also how those assets are being impacted

0:02:48.680 --> 0:02:51.160
<v Speaker 7>by the rapid rise and rates. This Pat was saying

0:02:51.480 --> 0:02:53.400
<v Speaker 7>a lot of these owners, even the biggest ones from

0:02:53.400 --> 0:02:56.519
<v Speaker 7>Brookfield to Blackstone to Pimco, they were just walking away

0:02:56.560 --> 0:02:58.040
<v Speaker 7>from these properties and cutting their.

0:02:57.960 --> 0:03:03.200
<v Speaker 5>Losses worth mentioning in my ongoing campaign for RTO propaganda

0:03:03.720 --> 0:03:06.880
<v Speaker 5>that I walked by Pat clarka a number of weeks.

0:03:06.639 --> 0:03:07.960
<v Speaker 4>Ago and I was like, what are you thinking about?

0:03:07.960 --> 0:03:11.280
<v Speaker 5>And you know, there was a phrase that he shared

0:03:11.320 --> 0:03:14.040
<v Speaker 5>with me that, honestly, it was one that washed over me,

0:03:14.080 --> 0:03:15.760
<v Speaker 5>and I had to remind him. I was like, what

0:03:15.800 --> 0:03:17.560
<v Speaker 5>was that again? What was that again? And then finally

0:03:17.600 --> 0:03:19.400
<v Speaker 5>I was like, we should actually write that, Pat, what

0:03:19.560 --> 0:03:19.840
<v Speaker 5>was it?

0:03:20.080 --> 0:03:22.519
<v Speaker 6>Well, extend and pretend, which is you know, this is

0:03:22.560 --> 0:03:25.720
<v Speaker 6>an old cliche in the real estate world at least,

0:03:25.800 --> 0:03:28.840
<v Speaker 6>and it has worked before. I mean, I think, I

0:03:28.840 --> 0:03:30.960
<v Speaker 6>think if you really go back, you would learn that

0:03:31.440 --> 0:03:33.680
<v Speaker 6>when you can extend and pretend, when banks have to

0:03:33.680 --> 0:03:36.600
<v Speaker 6>take properties back when losses are realized, it is bad

0:03:36.680 --> 0:03:38.760
<v Speaker 6>and it's messy. And you know, that's what happened in

0:03:38.800 --> 0:03:42.200
<v Speaker 6>the early nineties. It was a mess the global financial crisis.

0:03:42.200 --> 0:03:44.040
<v Speaker 6>The industry said, you know, let's see if we can

0:03:44.080 --> 0:03:46.120
<v Speaker 6>just kind of push this off as long as possible.

0:03:46.240 --> 0:03:49.240
<v Speaker 6>And not to say there was no mess, but the

0:03:49.280 --> 0:03:54.840
<v Speaker 6>strategy of extending pretending was largely successful. The question is

0:03:55.120 --> 0:03:58.360
<v Speaker 6>does it work again in this period where you have

0:03:58.520 --> 0:04:00.880
<v Speaker 6>this interest rate shift has been so abrupt.

0:04:00.960 --> 0:04:02.440
<v Speaker 3>Yeah, there's a point, right right. If you're an owner

0:04:02.440 --> 0:04:04.280
<v Speaker 3>of property, you're like, wait, this is just too expensive.

0:04:04.280 --> 0:04:05.640
<v Speaker 3>It's better for me to just walk away.

0:04:06.000 --> 0:04:06.280
<v Speaker 4>Okay.

0:04:06.440 --> 0:04:08.200
<v Speaker 5>Just in case you're not familiar with the phrase extend

0:04:08.240 --> 0:04:09.840
<v Speaker 5>and pretend, what's the extend part?

0:04:09.880 --> 0:04:10.920
<v Speaker 4>And what's the pretend part.

0:04:11.320 --> 0:04:14.080
<v Speaker 6>Yeah, well, you know, you extend loan term. So a

0:04:14.080 --> 0:04:16.960
<v Speaker 6>commercial real estate loan doesn't work like your thirty year mortgage.

0:04:17.040 --> 0:04:18.880
<v Speaker 6>Right you at the end of your five or ten

0:04:18.920 --> 0:04:21.320
<v Speaker 6>year term, there's a balloon payment. So when you're when

0:04:21.360 --> 0:04:23.360
<v Speaker 6>you run out of term and you run out of extensions,

0:04:23.480 --> 0:04:25.720
<v Speaker 6>you own a one hundred million dollar building, you've got to,

0:04:26.279 --> 0:04:28.520
<v Speaker 6>you know, potentially give one hundred million dollars or some

0:04:28.680 --> 0:04:31.960
<v Speaker 6>large sum back to the lender. And if you don't

0:04:31.960 --> 0:04:33.960
<v Speaker 6>have it right now, the lender could say, you know,

0:04:34.160 --> 0:04:36.039
<v Speaker 6>it would be better for all of us if we

0:04:36.279 --> 0:04:38.520
<v Speaker 6>wrote you an extra year of term on this and

0:04:38.560 --> 0:04:42.320
<v Speaker 6>we deal with this down the line. And again, that

0:04:42.480 --> 0:04:45.560
<v Speaker 6>was in March twenty twenty. In that early period of COVID,

0:04:45.560 --> 0:04:47.919
<v Speaker 6>there was a lot of that and it was effective,

0:04:48.520 --> 0:04:52.720
<v Speaker 6>effective in part because you know, Congress pumped enormous amount

0:04:52.720 --> 0:04:55.839
<v Speaker 6>of money into the US economy, fed lowered interest rates,

0:04:55.880 --> 0:04:59.760
<v Speaker 6>transactions picked up again and kicking the can down the road,

0:05:00.120 --> 0:05:03.080
<v Speaker 6>or you know, the other cliches are delay and.

0:05:03.000 --> 0:05:04.479
<v Speaker 8>Prey, delay, delay, and pray.

0:05:04.680 --> 0:05:05.880
<v Speaker 3>I have to say, I get it. Kind of a

0:05:05.920 --> 0:05:07.880
<v Speaker 3>lesson when it comes to real estate loans about this

0:05:07.880 --> 0:05:10.320
<v Speaker 3>whole idea. Right, you have a loan, do the balloon payment,

0:05:10.360 --> 0:05:12.279
<v Speaker 3>and then you just get more time. Like right, That's

0:05:12.279 --> 0:05:15.240
<v Speaker 3>how it normally works in the industry, or has for

0:05:15.279 --> 0:05:16.760
<v Speaker 3>a long time. But this is different.

0:05:17.000 --> 0:05:18.640
<v Speaker 7>This is different. I mean that's Pat was saying, Like,

0:05:18.640 --> 0:05:20.640
<v Speaker 7>a lot of the extend and pretend during the pandemic

0:05:20.680 --> 0:05:22.960
<v Speaker 7>happened because people didn't know where values stood and people

0:05:23.000 --> 0:05:25.599
<v Speaker 7>didn't know how the return to work would shake out.

0:05:25.760 --> 0:05:28.600
<v Speaker 7>It's been more than three years, it's clear that vacancy

0:05:28.640 --> 0:05:30.600
<v Speaker 7>rates are still at record heights and getting worse in

0:05:30.680 --> 0:05:33.200
<v Speaker 7>many of the major cities. And not only that, but

0:05:33.279 --> 0:05:35.640
<v Speaker 7>you have the issue with the banking crisis, the regional

0:05:35.680 --> 0:05:38.960
<v Speaker 7>banks that are offloading, you know, billions of commercial real

0:05:39.040 --> 0:05:41.440
<v Speaker 7>estate loans, and some of that is starting to shake out,

0:05:41.520 --> 0:05:45.279
<v Speaker 7>and investors and lenders and regulators are seeing that it's

0:05:45.320 --> 0:05:48.200
<v Speaker 7>not going to balance out anytime soon. So you know

0:05:48.360 --> 0:05:50.120
<v Speaker 7>it's time to start writing off the loans.

0:05:50.200 --> 0:05:52.440
<v Speaker 5>Okay, So, Pat, if this is the end of extend

0:05:52.480 --> 0:05:56.120
<v Speaker 5>and pretend, what does that actually begin to look like?

0:05:57.360 --> 0:06:01.400
<v Speaker 6>Well, if it doesn't work, if lenders can and lenders

0:06:01.440 --> 0:06:04.520
<v Speaker 6>and borrowers can't push things out, it can get bad.

0:06:04.720 --> 0:06:07.240
<v Speaker 6>You know the again, we've got these balloon payments that

0:06:07.279 --> 0:06:12.159
<v Speaker 6>come due, and you've got this situation where lenders are

0:06:12.880 --> 0:06:15.560
<v Speaker 6>you know, at minimum under scrutiny over there commercial real

0:06:15.640 --> 0:06:19.320
<v Speaker 6>estate exposure, you know, arguably under pressure to reduce commercial

0:06:19.360 --> 0:06:23.120
<v Speaker 6>real estate exposure from both you know, regulators, ratings companies,

0:06:23.480 --> 0:06:26.560
<v Speaker 6>and you know, even shareholders. I'm talking about banks primarily

0:06:26.600 --> 0:06:30.520
<v Speaker 6>who provide the bulk of commercial real estate finance, but

0:06:30.560 --> 0:06:35.240
<v Speaker 6>again life insurers or securitization market. There's both a huge

0:06:35.360 --> 0:06:39.159
<v Speaker 6>need for a new debt in commercial real estate to

0:06:39.200 --> 0:06:42.200
<v Speaker 6>refinance these old loans that are coming due, and there

0:06:42.360 --> 0:06:45.480
<v Speaker 6>is a you know, a sort of retreat of liquidity.

0:06:45.520 --> 0:06:47.800
<v Speaker 4>There are debt providers out there. They generally are going to.

0:06:47.839 --> 0:06:49.560
<v Speaker 6>Want a premium to give you a loan right now

0:06:49.800 --> 0:06:52.600
<v Speaker 6>because they can get it. But it's also a little

0:06:52.640 --> 0:06:56.800
<v Speaker 6>more niche. This sort of the bulk of credit provided

0:06:56.800 --> 0:06:59.920
<v Speaker 6>by regional banking system is not necessarily going to be

0:07:00.040 --> 0:07:03.120
<v Speaker 6>there right now, and you can start spinning out scenarios

0:07:03.200 --> 0:07:07.719
<v Speaker 6>where banks are being pushed to cut exposure. They're selling loans,

0:07:07.720 --> 0:07:10.400
<v Speaker 6>they're having to take discounts to sell loans because interest

0:07:10.480 --> 0:07:12.400
<v Speaker 6>rates are higher right now. So why would you buy

0:07:12.440 --> 0:07:15.120
<v Speaker 6>an old book of loans that's generating three percent interests

0:07:15.120 --> 0:07:18.040
<v Speaker 6>when you can originate a new loan at double that.

0:07:19.000 --> 0:07:24.240
<v Speaker 5>Natalie, you wrote remarks for the magazine a couple months ago.

0:07:24.280 --> 0:07:26.600
<v Speaker 5>It was the first time that we actually saw a default,

0:07:27.040 --> 0:07:29.520
<v Speaker 5>and we sort of were like, wait a second, something

0:07:29.520 --> 0:07:32.360
<v Speaker 5>else is coming, And so here we are talking about

0:07:32.360 --> 0:07:33.240
<v Speaker 5>it a couple months later.

0:07:33.280 --> 0:07:34.400
<v Speaker 4>But when you.

0:07:34.280 --> 0:07:36.600
<v Speaker 5>Look ahead, how big of a wall of debt are

0:07:36.640 --> 0:07:40.280
<v Speaker 5>we talking about here, and what does that actually mean

0:07:40.360 --> 0:07:40.880
<v Speaker 5>for everyone?

0:07:41.120 --> 0:07:43.480
<v Speaker 7>It's massive. I mean in the US alone, there's one

0:07:43.480 --> 0:07:47.000
<v Speaker 7>point four trillion dollars worth of debt that's maturing this

0:07:47.080 --> 0:07:50.400
<v Speaker 7>year and the next, and a lot of investors around

0:07:50.440 --> 0:07:52.880
<v Speaker 7>the world, a lot of the banks and a lot

0:07:52.880 --> 0:07:54.720
<v Speaker 7>of the private equity firms that we wrote about for

0:07:54.760 --> 0:07:58.080
<v Speaker 7>the previous story are going to be facing these big maturities,

0:07:58.120 --> 0:07:59.920
<v Speaker 7>and some of them are just walking away from it.

0:08:00.080 --> 0:08:01.320
<v Speaker 3>I think this is also a big part of it

0:08:01.360 --> 0:08:03.080
<v Speaker 3>of how we're going to be using real estate going forward,

0:08:03.080 --> 0:08:05.600
<v Speaker 3>whether it's offices, right, there's some offices you can kind

0:08:05.600 --> 0:08:09.280
<v Speaker 3>of remake and repurpose, but that's not always the case.

0:08:09.280 --> 0:08:12.400
<v Speaker 3>I mean, there's we're rethinking, right, how we use our space.

0:08:12.320 --> 0:08:14.640
<v Speaker 7>You're rethinking it. But the problem is it takes time,

0:08:14.720 --> 0:08:16.720
<v Speaker 7>and it also takes a lot of money, which these

0:08:16.760 --> 0:08:19.800
<v Speaker 7>companies don't have right now. And for some like we

0:08:19.800 --> 0:08:22.320
<v Speaker 7>were writing about the Seagram building, which is still doing well.

0:08:22.360 --> 0:08:25.160
<v Speaker 7>It's an iconic building, but they've already put in twenty

0:08:25.160 --> 0:08:27.520
<v Speaker 7>five million dollars and they're still losing a major private

0:08:27.520 --> 0:08:29.840
<v Speaker 7>equity tenant to a much newer development. Like some of

0:08:29.840 --> 0:08:32.000
<v Speaker 7>these buildings, no matter how much money you pour into it,

0:08:32.200 --> 0:08:35.439
<v Speaker 7>the bones, you just can't make it like a developer

0:08:35.480 --> 0:08:37.559
<v Speaker 7>can't ground up, and it's cheaper to do a ground up.

0:08:37.800 --> 0:08:39.920
<v Speaker 5>And that's I think the big thing is this idea

0:08:39.960 --> 0:08:42.400
<v Speaker 5>that some of this stuff can get converted from commercial

0:08:42.400 --> 0:08:43.079
<v Speaker 5>to residential.

0:08:43.160 --> 0:08:45.200
<v Speaker 4>Right that's just not going to happen.

0:08:45.440 --> 0:08:48.400
<v Speaker 5>And so it leaves you a question of like, okay,

0:08:48.400 --> 0:08:50.360
<v Speaker 5>if we've got all these empty office buildings, like what

0:08:50.360 --> 0:08:51.920
<v Speaker 5>are we going to do with them? And then you think, okay,

0:08:52.000 --> 0:08:54.520
<v Speaker 5>well maybe it's New York and this is I think,

0:08:54.880 --> 0:08:56.880
<v Speaker 5>you know, Pat wrote the kind of the opening essay

0:08:56.920 --> 0:08:59.360
<v Speaker 5>for the package, and Natalie and John Gidtlson took a

0:08:59.400 --> 0:09:02.680
<v Speaker 5>much more map global view of what this actually looked

0:09:02.720 --> 0:09:06.480
<v Speaker 5>like around the world. Whenever from New York to San Francisco,

0:09:07.120 --> 0:09:09.960
<v Speaker 5>even looked abroad places like Hong Kong. If we have

0:09:10.080 --> 0:09:13.200
<v Speaker 5>a lot of empty office space, there is no good

0:09:13.240 --> 0:09:16.360
<v Speaker 5>solution with what to do with and it becomes kind

0:09:16.360 --> 0:09:18.920
<v Speaker 5>of a frightening proposition when you think about the global

0:09:18.960 --> 0:09:20.719
<v Speaker 5>implications of this, right, Natalie, Right, you.

0:09:20.679 --> 0:09:24.000
<v Speaker 7>Basically have the zombie buildings that are the owners handing

0:09:24.000 --> 0:09:25.880
<v Speaker 7>the keys over to the lender, and the lender typically

0:09:26.080 --> 0:09:27.920
<v Speaker 7>puts it in the hands of receivers in these buildings

0:09:28.040 --> 0:09:30.800
<v Speaker 7>essentially limp along for years with the lender trying to

0:09:30.800 --> 0:09:32.720
<v Speaker 7>figure out what to do with it. And we're seeing

0:09:32.720 --> 0:09:35.240
<v Speaker 7>that it's already going to potentially have impacts on tax

0:09:35.280 --> 0:09:38.280
<v Speaker 7>revenues at different cities in San Francisco in New York.

0:09:38.360 --> 0:09:40.720
<v Speaker 7>These professors at NYU and Columbia did a study which

0:09:40.760 --> 0:09:43.720
<v Speaker 7>said that remote work. Due to remote work, office values

0:09:43.760 --> 0:09:46.600
<v Speaker 7>will be wiped out forty four percent from pre pandemic values,

0:09:46.679 --> 0:09:48.480
<v Speaker 7>and that's going to take a big hit of the

0:09:48.520 --> 0:09:52.480
<v Speaker 7>city revenue because offices take up twenty percent of the

0:09:52.559 --> 0:09:54.160
<v Speaker 7>property tax revenues of New York.

0:09:54.280 --> 0:09:56.079
<v Speaker 3>I have to say that's one of the out of

0:09:56.120 --> 0:09:57.640
<v Speaker 3>the section I love where you guys broke it down

0:09:57.679 --> 0:09:59.160
<v Speaker 3>into cities. I was kind of blown away by some

0:09:59.240 --> 0:10:02.480
<v Speaker 3>of the statistics and the impact in terms of data,

0:10:02.920 --> 0:10:05.599
<v Speaker 3>you know, values going down or just vacancies. It was

0:10:05.640 --> 0:10:09.440
<v Speaker 3>pretty remarkable. I highly recommend everybody check out the complete section.

0:10:09.840 --> 0:10:12.160
<v Speaker 3>It is the finance section, the cover story all about

0:10:12.160 --> 0:10:15.080
<v Speaker 3>the struggling commercial real estate sector. Thanks to Bloomberg News

0:10:15.240 --> 0:10:18.240
<v Speaker 3>real estate reporters Patrick Clark and Natalie Wong, along with

0:10:18.240 --> 0:10:20.040
<v Speaker 3>the editor of the magazine, Joel Weber.

0:10:20.000 --> 0:10:23.560
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:10:23.600 --> 0:10:27.280
<v Speaker 1>live weekdays from two to five pm Easter on Bloomberg Radio,

0:10:27.480 --> 0:10:30.360
<v Speaker 1>the Bloomberg Business app and you too. You can also

0:10:30.440 --> 0:10:33.760
<v Speaker 1>listen live to our flagship New York station, Just Say

0:10:33.880 --> 0:10:53.760
<v Speaker 1>Alexa Play Bloomberg E love them thirty.

0:10:41.760 --> 0:10:48.559
<v Speaker 9>Day same.

0:10:51.000 --> 0:10:52.200
<v Speaker 3>Right now, it's not tomorrow.

0:10:53.160 --> 0:10:54.680
<v Speaker 4>What are incredible organizations?

0:10:55.080 --> 0:10:57.640
<v Speaker 3>But do you love the Daryl Hall with Daryl I

0:10:57.679 --> 0:11:00.280
<v Speaker 3>mean with the long hair. Yeah, yeah, me too. But

0:11:00.280 --> 0:11:01.000
<v Speaker 3>then he got a cut.

0:11:01.080 --> 0:11:02.280
<v Speaker 4>It was a little bit of a mullet.

0:11:02.480 --> 0:11:05.480
<v Speaker 3>I like that, Yeah, I can. Yeah, I don't like mullets.

0:11:05.480 --> 0:11:07.480
<v Speaker 3>All right, So, Matt, we talked yesterday about a story

0:11:07.480 --> 0:11:11.199
<v Speaker 3>that concerns have been highlighted when it comes to the

0:11:11.240 --> 0:11:14.360
<v Speaker 3>private credit world, pressures of higher interest rates, what it

0:11:14.400 --> 0:11:16.760
<v Speaker 3>means for those borers floating rates.

0:11:16.760 --> 0:11:19.240
<v Speaker 10>As you said, Oh my goshte to say that you

0:11:19.280 --> 0:11:22.480
<v Speaker 10>and I are both pretty well obsessed with private credit.

0:11:22.120 --> 0:11:24.240
<v Speaker 3>And I am I am anywhere where I feel like

0:11:24.240 --> 0:11:26.600
<v Speaker 3>I don't have a total handle on it, and everybody's like,

0:11:26.760 --> 0:11:29.959
<v Speaker 3>don't worry, it's gonna be okay. So let's get into

0:11:30.520 --> 0:11:33.319
<v Speaker 3>the private world, which includes, of course private equity with

0:11:33.400 --> 0:11:36.679
<v Speaker 3>us as Kate Ambrose, CEO of the Global Private Capital Association,

0:11:36.720 --> 0:11:41.600
<v Speaker 3>it's a nonprofit, nonprofit, independent membership organization representing private capital

0:11:41.600 --> 0:11:45.400
<v Speaker 3>investors who manage some two trillion in assets globally. We're

0:11:45.400 --> 0:11:49.000
<v Speaker 3>talking about a KKR, We're talking about Bill and Melinda Gates, Colsters,

0:11:49.000 --> 0:11:52.439
<v Speaker 3>We're talking about the former Silicon Valley Bank, academic institutions,

0:11:52.440 --> 0:11:55.400
<v Speaker 3>and more so looking forward to our conversation she's here

0:11:55.440 --> 0:11:56.320
<v Speaker 3>in our Bloomberg interaction.

0:11:56.600 --> 0:11:58.240
<v Speaker 4>Is this essentially a lobbying group?

0:11:58.320 --> 0:12:01.760
<v Speaker 10>Or when I see non profit together with private equity,

0:12:01.840 --> 0:12:04.120
<v Speaker 10>like alarm bells go off? Why does private equity need

0:12:04.200 --> 0:12:04.880
<v Speaker 10>the nonprofit?

0:12:05.000 --> 0:12:05.200
<v Speaker 4>Right?

0:12:05.440 --> 0:12:08.640
<v Speaker 9>Love that question, love it. We are a very unique organization.

0:12:09.160 --> 0:12:12.720
<v Speaker 9>The organization was founded as the Emerging Markets Private Equity

0:12:12.760 --> 0:12:15.720
<v Speaker 9>Association by the IFC of the World Bank over twenty

0:12:15.840 --> 0:12:16.280
<v Speaker 9>years ago.

0:12:16.400 --> 0:12:16.920
<v Speaker 3>Oh my god.

0:12:16.920 --> 0:12:20.920
<v Speaker 9>It was founded by the first LPs in funds in

0:12:21.240 --> 0:12:25.080
<v Speaker 9>emerging markets and grew to some prominence at the period

0:12:25.160 --> 0:12:27.760
<v Speaker 9>of time that there was this idea that emerging markets

0:12:27.840 --> 0:12:29.960
<v Speaker 9>was going to be an asset class in and of itself,

0:12:30.000 --> 0:12:34.240
<v Speaker 9>that was going to be faster demograph younger demographics, faster growth,

0:12:34.240 --> 0:12:36.559
<v Speaker 9>that would be a rising time that would lift all boats,

0:12:37.280 --> 0:12:40.920
<v Speaker 9>and grew to some significant size. I joined in twenty

0:12:41.040 --> 0:12:45.000
<v Speaker 9>nineteen as CEO and really to reposition the organization for

0:12:45.040 --> 0:12:47.800
<v Speaker 9>the future, to reflect what's going on in the world today.

0:12:48.040 --> 0:12:51.320
<v Speaker 9>The terminology emerging markets is forty years out of date.

0:12:51.760 --> 0:12:53.920
<v Speaker 9>You know, it's forty years old. It's just completely outdated.

0:12:54.000 --> 0:12:56.680
<v Speaker 9>China's the world's second largest economy, so many of the

0:12:56.720 --> 0:12:59.199
<v Speaker 9>opportunities is so much capital flows from these places in

0:12:59.240 --> 0:13:01.920
<v Speaker 9>the world. So we are now the Global Private Capital Association.

0:13:02.400 --> 0:13:05.760
<v Speaker 9>The regions that we cover our Asia, Latin America, Africa,

0:13:05.880 --> 0:13:08.199
<v Speaker 9>Central and Eastern Europe, and the Middle East. But our

0:13:08.200 --> 0:13:10.960
<v Speaker 9>board includes for example Bill Ford of General Atlantic, one

0:13:10.960 --> 0:13:13.520
<v Speaker 9>of the world's largest private equity farms. As you mentioned KKR.

0:13:13.559 --> 0:13:17.280
<v Speaker 9>Others are members. We have for example, Tamasek, the Singapore

0:13:17.360 --> 0:13:20.160
<v Speaker 9>Sovereign from their Chief Investment Office, are fascinative.

0:13:20.440 --> 0:13:24.280
<v Speaker 10>So essentially it was the organization was started to kind

0:13:24.320 --> 0:13:28.680
<v Speaker 10>of shepherd growth through private equity in these markets exactly.

0:13:28.880 --> 0:13:31.720
<v Speaker 3>And the reposition nonprofit is that wrong?

0:13:31.840 --> 0:13:32.319
<v Speaker 4>We are.

0:13:32.440 --> 0:13:35.800
<v Speaker 9>So we are the same structure as a national Venture

0:13:35.800 --> 0:13:38.839
<v Speaker 9>capital Association in the US or a private equity council,

0:13:38.840 --> 0:13:41.400
<v Speaker 9>which indeeder lobby groups. The beauty and this is why

0:13:41.400 --> 0:13:43.920
<v Speaker 9>we use the word independent, is that because we cover

0:13:44.080 --> 0:13:46.560
<v Speaker 9>all of these markets, we're not there to lobby on

0:13:46.600 --> 0:13:52.040
<v Speaker 9>behalf of lower tax rates for or preferential regulatory treatment

0:13:52.080 --> 0:13:55.120
<v Speaker 9>for our members. We're really there to evangelize capital and

0:13:55.280 --> 0:13:57.960
<v Speaker 9>educate on the opportunities across global markets. And the last

0:13:58.000 --> 0:14:00.800
<v Speaker 9>thing I'll say is we are not a US slobby group.

0:14:00.840 --> 0:14:03.760
<v Speaker 9>We are truly a global organization. Again, our board includes

0:14:03.800 --> 0:14:07.880
<v Speaker 9>the leading fund managers from India, Africa, Latin America, both

0:14:07.920 --> 0:14:09.000
<v Speaker 9>global firms and local.

0:14:09.080 --> 0:14:10.320
<v Speaker 3>So where does your funding come from?

0:14:10.960 --> 0:14:15.360
<v Speaker 9>Membership dues? So over three hundred member firms pay dues

0:14:15.400 --> 0:14:18.120
<v Speaker 9>to be members of the organization. We have a very

0:14:18.200 --> 0:14:20.560
<v Speaker 9>dynamic research platform. I can throw some data off the

0:14:20.600 --> 0:14:22.760
<v Speaker 9>top of my head in terms of fundraising and trends

0:14:22.760 --> 0:14:23.680
<v Speaker 9>and things like private exit.

0:14:24.160 --> 0:14:26.600
<v Speaker 10>So but what what I'm getting is that the World

0:14:26.640 --> 0:14:30.200
<v Speaker 10>Bank said we need to shepherd growth through this mechanism

0:14:30.240 --> 0:14:32.200
<v Speaker 10>private equity, and a good way to do that just

0:14:32.200 --> 0:14:34.200
<v Speaker 10>put together an organization to support it.

0:14:34.320 --> 0:14:34.840
<v Speaker 4>I guess what.

0:14:35.000 --> 0:14:38.880
<v Speaker 9>So the IFC is the International Finance Corporation, and they

0:14:39.000 --> 0:14:42.720
<v Speaker 9>were limited partners in funds, so they actually put money

0:14:42.720 --> 0:14:43.240
<v Speaker 9>into funds.

0:14:43.400 --> 0:14:43.720
<v Speaker 11>See.

0:14:43.800 --> 0:14:47.760
<v Speaker 9>And there's a whole universe of development finance institutions, including

0:14:47.800 --> 0:14:51.520
<v Speaker 9>the US DFC, which is what the US uses to

0:14:51.760 --> 0:14:54.800
<v Speaker 9>compete with China. Frankly, around the world putting money into funds.

0:14:54.880 --> 0:14:57.680
<v Speaker 9>So it really it's more commercial than sort of what

0:14:57.720 --> 0:15:00.400
<v Speaker 9>we're describing. But we are a nonprofit organization.

0:15:00.200 --> 0:15:05.520
<v Speaker 3>ESDFC, the Development Finance Corporation. Okay, So if you had

0:15:05.520 --> 0:15:08.520
<v Speaker 3>to say your top priority in your organization, number one,

0:15:08.720 --> 0:15:09.040
<v Speaker 3>just one?

0:15:09.120 --> 0:15:09.600
<v Speaker 6>What is it?

0:15:10.120 --> 0:15:10.360
<v Speaker 3>Wow?

0:15:10.440 --> 0:15:11.040
<v Speaker 4>That's tough.

0:15:12.160 --> 0:15:15.320
<v Speaker 9>There's kind of twins, so I may cheat. One is

0:15:15.360 --> 0:15:19.200
<v Speaker 9>to just re educate the world on the opportunities and

0:15:19.240 --> 0:15:22.680
<v Speaker 9>the realities and the risks of investing in these markets.

0:15:23.520 --> 0:15:26.760
<v Speaker 9>And the second would be to influence capital towards greater

0:15:27.400 --> 0:15:30.840
<v Speaker 9>long term, inclusive growth and environmental private capital.

0:15:31.000 --> 0:15:34.720
<v Speaker 3>Yes, private capital. I am obsessed, Matt. We're both obsessed.

0:15:35.160 --> 0:15:37.040
<v Speaker 3>And I feel like I keep saying this last couple

0:15:37.080 --> 0:15:38.960
<v Speaker 3>of times I've been at Milk and we've done broadcasts.

0:15:39.360 --> 0:15:41.400
<v Speaker 3>Doesn't seem like anybody cares about the public markets. It's

0:15:41.400 --> 0:15:43.920
<v Speaker 3>all about the private market's private credit, private equas well.

0:15:44.040 --> 0:15:48.760
<v Speaker 10>Those people are you're hanging around the wrong people public Well, yes, yes.

0:15:48.640 --> 0:15:53.360
<v Speaker 3>But there's also right but so but I mean, tell

0:15:53.440 --> 0:15:57.160
<v Speaker 3>us about from your perspective, because I think there's some

0:15:57.240 --> 0:16:00.680
<v Speaker 3>nervousness in terms of the private capital world, especially as

0:16:00.680 --> 0:16:02.520
<v Speaker 3>we see rates going out that you know, there doesn't

0:16:02.520 --> 0:16:04.840
<v Speaker 3>feel like there was as much transparency and that that

0:16:04.880 --> 0:16:08.280
<v Speaker 3>could be problematic interesting transparancy.

0:16:08.400 --> 0:16:12.960
<v Speaker 9>But well, okay, great, I mean absolutely, the scale of

0:16:13.040 --> 0:16:16.240
<v Speaker 9>capital is remarkable, and this is sort of private capital,

0:16:16.280 --> 0:16:19.680
<v Speaker 9>private capital exactly. For example, last year alone one point

0:16:19.680 --> 0:16:21.880
<v Speaker 9>three trillion. You know, it's one point two one point

0:16:21.880 --> 0:16:25.640
<v Speaker 9>three but critically that's just what's raised by fund managers.

0:16:25.760 --> 0:16:28.440
<v Speaker 9>You've got to throw in there all the Canadian pension plans.

0:16:28.480 --> 0:16:30.480
<v Speaker 9>By the way, CPB is also on our board of

0:16:30.520 --> 0:16:34.200
<v Speaker 9>Directors as his future front from Australia. It's trillions and

0:16:34.280 --> 0:16:38.120
<v Speaker 9>trillions of dollars of liquidity. It's just so that the

0:16:38.240 --> 0:16:39.880
<v Speaker 9>scale of money that is a bila. You've got all

0:16:39.880 --> 0:16:43.720
<v Speaker 9>the Chinese billionaires, you've got family offices. You know, there's so.

0:16:43.760 --> 0:16:46.000
<v Speaker 4>Much everybody wants in right now. Because the thing is.

0:16:45.960 --> 0:16:49.280
<v Speaker 10>There's also nervous, so much talk of the opportunity in

0:16:49.360 --> 0:16:53.680
<v Speaker 10>private credit, it's become uh, kind of the darling of

0:16:53.920 --> 0:16:57.320
<v Speaker 10>investors really from retail up now.

0:16:57.440 --> 0:17:00.680
<v Speaker 9>Right Well, I was speaking across all private credit, private

0:17:00.720 --> 0:17:05.240
<v Speaker 9>capital strategy, using private equity, venture capital, infrastructure, real assets.

0:17:05.280 --> 0:17:06.200
<v Speaker 9>So there's a lot in there.

0:17:06.280 --> 0:17:07.480
<v Speaker 3>What's really hot right now.

0:17:08.080 --> 0:17:11.240
<v Speaker 9>So the two Well, you're mentioning private credit, which absolutely

0:17:11.320 --> 0:17:12.760
<v Speaker 9>is a huge driver. So if I had to say

0:17:12.800 --> 0:17:15.600
<v Speaker 9>a strategy that's going really quickly, I'd say private credit.

0:17:15.600 --> 0:17:20.760
<v Speaker 9>And there was fourteen billion dollars in private credit fundraising

0:17:20.840 --> 0:17:24.040
<v Speaker 9>last year. KKR had a big Asia private credit fund,

0:17:24.160 --> 0:17:27.080
<v Speaker 9>Apollo had a big private credit fund, big manager in

0:17:27.080 --> 0:17:30.280
<v Speaker 9>India is raising one point six billion for their private

0:17:30.320 --> 0:17:33.399
<v Speaker 9>credit fund just focused on India. Then the other I

0:17:33.440 --> 0:17:36.360
<v Speaker 9>would highlight two other big drivers particularly in our markets,

0:17:36.760 --> 0:17:42.560
<v Speaker 9>climate and everything anything sustainability focused huge driver. Seriously absolutely

0:17:42.600 --> 0:17:46.720
<v Speaker 9>different from the ESG. Absolutely absolutely huge driver. And I

0:17:46.760 --> 0:17:50.600
<v Speaker 9>would make this critical distinction ESG. It's kind of like

0:17:50.600 --> 0:17:54.440
<v Speaker 9>the working with terminology, like emerging markets. It can mean anything, right,

0:17:54.440 --> 0:17:56.280
<v Speaker 9>what is the ESG? What is impact? I mean, the

0:17:56.560 --> 0:17:59.280
<v Speaker 9>definitions really are there. There's a lot of situation.

0:17:59.160 --> 0:18:01.199
<v Speaker 4>Kind of going through a record, make up yourself based on.

0:18:03.240 --> 0:18:08.640
<v Speaker 9>Particularly It's funny when you say you know transparency. I

0:18:08.640 --> 0:18:12.000
<v Speaker 9>believe that there's actually a greater opportunity for transparency and

0:18:12.080 --> 0:18:16.080
<v Speaker 9>private capital strategies because you can see what's in portfolios.

0:18:16.119 --> 0:18:18.920
<v Speaker 9>You can see you can look at the portfolio.

0:18:18.359 --> 0:18:20.760
<v Speaker 3>Company level, not every portfolio.

0:18:21.000 --> 0:18:22.719
<v Speaker 9>Well, in the I guess I would say in the

0:18:22.760 --> 0:18:24.680
<v Speaker 9>markets that we represent.

0:18:25.000 --> 0:18:26.719
<v Speaker 3>Going in, but if you're a pension fund, you can

0:18:26.760 --> 0:18:28.800
<v Speaker 3>look at it, right, Yeah.

0:18:28.600 --> 0:18:31.920
<v Speaker 9>I mean I'm speaking specifically to the markets that we're in,

0:18:32.280 --> 0:18:36.000
<v Speaker 9>and in the markets that we're in, you know governance,

0:18:36.160 --> 0:18:40.520
<v Speaker 9>governance and transparency and you know going in and cleaning

0:18:40.560 --> 0:18:43.280
<v Speaker 9>up that type of stuff from the outset. And there's

0:18:43.320 --> 0:18:45.400
<v Speaker 9>so much leverage, so I don't know, when you're thinking

0:18:45.400 --> 0:18:48.000
<v Speaker 9>from a risk perspective, you're thinking about the amount of

0:18:48.080 --> 0:18:49.960
<v Speaker 9>leverage that's been put on If.

0:18:49.720 --> 0:18:52.320
<v Speaker 3>KK or Apollo has a fund, I don't necessarily know

0:18:52.400 --> 0:18:53.280
<v Speaker 3>everything that's in it.

0:18:53.600 --> 0:18:57.600
<v Speaker 9>You know, here's another driver, ide would point right though, Yeah,

0:18:58.000 --> 0:18:59.320
<v Speaker 9>I honestly can't answer that.

0:18:59.400 --> 0:19:00.879
<v Speaker 10>No, No, I think care but they quit it out

0:19:00.920 --> 0:19:03.720
<v Speaker 10>in there. And Carol and I both have been grappling

0:19:03.800 --> 0:19:08.560
<v Speaker 10>with trying to value the entire size of the private

0:19:08.560 --> 0:19:11.560
<v Speaker 10>credit market, for example, and that data is difficult for US.

0:19:11.640 --> 0:19:13.720
<v Speaker 9>Privent credit is going to be a much less transparent

0:19:13.760 --> 0:19:17.560
<v Speaker 9>than private equity. Correct, yes, because in private equity you're

0:19:17.560 --> 0:19:21.280
<v Speaker 9>talking about typically investments and so. But private credit is

0:19:21.680 --> 0:19:23.560
<v Speaker 9>absolutely less private equity.

0:19:23.560 --> 0:19:26.439
<v Speaker 3>If you're not if you're getting into private firms, I

0:19:26.440 --> 0:19:28.240
<v Speaker 3>guess there's announcements. There has to be, like to.

0:19:28.200 --> 0:19:31.200
<v Speaker 9>Say, the deal portfolio is on the website. And I

0:19:31.240 --> 0:19:33.680
<v Speaker 9>would make another point, which is one of the things

0:19:33.720 --> 0:19:35.480
<v Speaker 9>that I find really exciting about what I do in

0:19:35.520 --> 0:19:38.760
<v Speaker 9>the opportunity. The way the industry is changing, just in

0:19:38.840 --> 0:19:41.879
<v Speaker 9>the space of the last five years, the level of

0:19:41.960 --> 0:19:46.720
<v Speaker 9>accountability and the shift in thinking in private capital globally

0:19:46.960 --> 0:19:51.399
<v Speaker 9>is remarkable. You look at you know, the examples of

0:19:52.040 --> 0:19:56.440
<v Speaker 9>founders being pushed out because of even a hint of impropriety.

0:19:57.160 --> 0:19:59.880
<v Speaker 9>There is so much more focus on long term reputation

0:20:00.000 --> 0:20:03.520
<v Speaker 9>because let's face it, you know one bad step reputationally

0:20:03.720 --> 0:20:05.320
<v Speaker 9>is you know, it has a major impact.

0:20:06.000 --> 0:20:08.720
<v Speaker 4>And look at Crispin O'Day exactly.

0:20:08.840 --> 0:20:11.399
<v Speaker 3>And then but I do wonder about private equity concentration

0:20:11.480 --> 0:20:13.800
<v Speaker 3>and fields and we've talked about it with healthcare or

0:20:14.000 --> 0:20:16.440
<v Speaker 3>you know, in vet service. I mean there's a lot

0:20:16.440 --> 0:20:17.240
<v Speaker 3>of concentration.

0:20:17.880 --> 0:20:19.920
<v Speaker 9>Well, I got to say, just go about tows not

0:20:20.040 --> 0:20:21.600
<v Speaker 9>in the markets that I focus on. So this is

0:20:21.600 --> 0:20:24.960
<v Speaker 9>our platform, which is basically that there is such a

0:20:25.000 --> 0:20:29.840
<v Speaker 9>scale of capital availability invested. The leverage ratios there's virtually

0:20:29.840 --> 0:20:31.800
<v Speaker 9>no leverage in the markets we represent. Each is a

0:20:31.840 --> 0:20:34.720
<v Speaker 9>huge Again, you know, there's very little leverage, and you're

0:20:34.960 --> 0:20:38.800
<v Speaker 9>investing in rather than sort of trading portfolio company important

0:20:38.840 --> 0:20:41.000
<v Speaker 9>to a manager or manager, you're investing in things from

0:20:41.040 --> 0:20:41.800
<v Speaker 9>the bottom.

0:20:41.480 --> 0:20:44.000
<v Speaker 3>Come back soon. Kate Ambrose, CEO at the Global Private

0:20:44.000 --> 0:20:47.160
<v Speaker 3>Capital Association, Here in studio, Right here on Bloomberg.

0:20:51.160 --> 0:20:54.679
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:20:54.760 --> 0:20:57.359
<v Speaker 1>live weekdays from two to five pm Easter.

0:20:57.320 --> 0:21:00.600
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App, and you too.

0:21:00.920 --> 0:21:03.960
<v Speaker 1>You can also listen live to our flagship New York station.

0:21:04.560 --> 0:21:06.639
<v Speaker 1>Just say Alexa, play Bloomberg.

0:21:06.680 --> 0:21:07.440
<v Speaker 11>You love them dirty.

0:21:09.520 --> 0:21:11.679
<v Speaker 3>Two companies easily too, the biggest when it comes to

0:21:11.720 --> 0:21:14.840
<v Speaker 3>selling us stuff. We're talking about Amazon and Walmart. Both

0:21:14.840 --> 0:21:17.800
<v Speaker 3>have been Bloomberg business. We cover stories for different reasons

0:21:18.160 --> 0:21:21.000
<v Speaker 3>and the subject of many, many more stories inside the

0:21:21.040 --> 0:21:23.240
<v Speaker 3>magazine and also on the Bloomberg and at Bloomberg dot

0:21:23.240 --> 0:21:26.400
<v Speaker 3>com every single day. Matt, there's so many stories about

0:21:26.440 --> 0:21:28.080
<v Speaker 3>Amazon and Walmart on a regular basis.

0:21:28.119 --> 0:21:28.280
<v Speaker 11>Yeah.

0:21:28.280 --> 0:21:30.959
<v Speaker 10>Absolutely, I mean, why wouldn't there be Walmart has what

0:21:31.080 --> 0:21:35.600
<v Speaker 10>five hundred thousand employees or something, and you know that

0:21:36.119 --> 0:21:38.320
<v Speaker 10>Paul Sweeney wants to be a Walmart reader when he's

0:21:38.320 --> 0:21:39.119
<v Speaker 10>done with this career.

0:21:39.160 --> 0:21:41.359
<v Speaker 3>I had no idea. Oh my god, I look.

0:21:41.240 --> 0:21:42.119
<v Speaker 4>For the Amazon.

0:21:42.160 --> 0:21:44.639
<v Speaker 10>You know, we were just talking about FedEx and UPS

0:21:44.720 --> 0:21:49.040
<v Speaker 10>and I almost wonder if Amazon has a real competitor

0:21:49.080 --> 0:21:52.600
<v Speaker 10>in their own delivery network, right like other possible companies

0:21:52.640 --> 0:21:56.520
<v Speaker 10>could use Amazon shipping instead of FedEx or UPS because

0:21:56.560 --> 0:21:58.560
<v Speaker 10>they're that ubiquitous.

0:21:58.800 --> 0:22:01.399
<v Speaker 3>Absolutely had to pair back a little bit because we

0:22:01.440 --> 0:22:03.720
<v Speaker 3>got a little obsessed with Amazon. Anyway, let's get to it,

0:22:03.760 --> 0:22:05.600
<v Speaker 3>because the two are also the subject of a new book,

0:22:05.600 --> 0:22:09.400
<v Speaker 3>Winner sells All Amazon Walmart and the Battle for our Wallets.

0:22:09.400 --> 0:22:11.480
<v Speaker 3>The author, Jason Delray, is with us. He's a business

0:22:11.560 --> 0:22:14.920
<v Speaker 3>journalist for fifteen years, covering e commerce for the last decade.

0:22:15.040 --> 0:22:17.399
<v Speaker 3>He's here in our interactive broker's studio. Nice to have

0:22:17.440 --> 0:22:19.600
<v Speaker 3>you here. Welcome, welcome, Thanks so much. Tell us a

0:22:19.600 --> 0:22:21.320
<v Speaker 3>little bit about why you wrote this book and why

0:22:21.359 --> 0:22:22.879
<v Speaker 3>you wrote it now, or how long you've been working

0:22:22.920 --> 0:22:23.199
<v Speaker 3>on it.

0:22:23.880 --> 0:22:26.520
<v Speaker 12>So I've been working on about three years and long

0:22:26.640 --> 0:22:30.200
<v Speaker 12>thought that while there have been some great books about Amazon,

0:22:30.280 --> 0:22:31.760
<v Speaker 12>Bradstone's chief among.

0:22:31.560 --> 0:22:34.959
<v Speaker 3>Them, rights on your book.

0:22:34.240 --> 0:22:36.159
<v Speaker 11>That he did blurb a bit for me.

0:22:36.640 --> 0:22:39.400
<v Speaker 3>Can I just say what he wrote? A revelatory account

0:22:39.400 --> 0:22:42.760
<v Speaker 3>of the bloody rivalry between two ruthless retail juggernauts that

0:22:42.800 --> 0:22:44.560
<v Speaker 3>are not accustomed to losing anyway.

0:22:44.560 --> 0:22:44.880
<v Speaker 4>Go ahead.

0:22:45.119 --> 0:22:47.720
<v Speaker 12>Brad's been coming to me over the years and so

0:22:48.320 --> 0:22:52.240
<v Speaker 12>written great books about Amazon. There's been some interesting books

0:22:52.240 --> 0:22:55.280
<v Speaker 12>about Walmart, although not many in the last fifteen years.

0:22:55.720 --> 0:22:58.040
<v Speaker 12>I thought to look at each and in a vacuum

0:22:58.160 --> 0:23:02.400
<v Speaker 12>sometimes misses how much each there is influenced strategies, and

0:23:02.520 --> 0:23:05.919
<v Speaker 12>there really hasn't been a deep dive into the innovator's

0:23:05.920 --> 0:23:08.400
<v Speaker 12>the dilemma that Walmart specifically has faced over the last

0:23:08.400 --> 0:23:11.600
<v Speaker 12>twenty years. And for those reasons and a few others

0:23:11.920 --> 0:23:14.480
<v Speaker 12>which we may get into, I thought, you know, looking

0:23:14.480 --> 0:23:18.520
<v Speaker 12>at inflection points and their rivalry over time and where

0:23:18.520 --> 0:23:21.960
<v Speaker 12>and how they've influenced each other would be interesting for

0:23:22.040 --> 0:23:24.360
<v Speaker 12>retail and e commerce folks who work in the industry,

0:23:24.640 --> 0:23:27.080
<v Speaker 12>but also just smart people who care about what.

0:23:27.000 --> 0:23:29.080
<v Speaker 11>Motivates these two companies.

0:23:28.560 --> 0:23:29.879
<v Speaker 4>Well, just the competition.

0:23:30.000 --> 0:23:34.200
<v Speaker 10>I mean, you know, households see that themselves in real time.

0:23:34.240 --> 0:23:37.520
<v Speaker 10>Everybody I think has an Amazon app, right, and more

0:23:37.520 --> 0:23:40.520
<v Speaker 10>and more people are getting a Walmart app. Is we've

0:23:40.560 --> 0:23:44.880
<v Speaker 10>come to know it more online than just a gigantic

0:23:45.320 --> 0:23:51.960
<v Speaker 10>big box store. Is Walmart starting to take away serious,

0:23:52.320 --> 0:23:56.840
<v Speaker 10>significant market share from Amazon online? Not yet, but I

0:23:56.880 --> 0:24:01.600
<v Speaker 10>think they finally, for a couple of different reasons, connected

0:24:01.640 --> 0:24:04.399
<v Speaker 10>the dots between their stores and their you know, and

0:24:04.440 --> 0:24:08.520
<v Speaker 10>their fulfillment centers and their website in a meaningful way.

0:24:08.240 --> 0:24:09.320
<v Speaker 11>That Amazon is.

0:24:10.000 --> 0:24:12.920
<v Speaker 12>You know, they worried about Walmart a long time ago,

0:24:13.000 --> 0:24:16.199
<v Speaker 12>then stopped worrying when Walmart seemed just not to be

0:24:17.000 --> 0:24:18.440
<v Speaker 12>active at all in the space.

0:24:18.359 --> 0:24:20.320
<v Speaker 3>And elevant right when it came to online.

0:24:20.320 --> 0:24:23.280
<v Speaker 12>I mean, for a very long time Amazon executives have

0:24:23.320 --> 0:24:26.040
<v Speaker 12>told me for a long time, we were waiting ten

0:24:26.160 --> 0:24:29.160
<v Speaker 12>fifteen years for Walmart to take advantage of well their

0:24:29.240 --> 0:24:32.480
<v Speaker 12>key advantage, which was a store within ten miles of

0:24:32.560 --> 0:24:35.080
<v Speaker 12>ninety percent of the population, and to use that either

0:24:35.119 --> 0:24:40.400
<v Speaker 12>as pickup hubs or delivery many warehouses. And they are

0:24:40.440 --> 0:24:43.600
<v Speaker 12>finally doing that, but it has taken a very long time.

0:24:43.680 --> 0:24:47.440
<v Speaker 12>And so are they stealing market share? Not quite yet,

0:24:47.480 --> 0:24:51.679
<v Speaker 12>but I think they are finally sort of competitive in

0:24:51.760 --> 0:24:54.919
<v Speaker 12>the space, which sounds shocking to just have that be

0:24:55.040 --> 0:24:57.120
<v Speaker 12>the minimum, but that's where we're at.

0:24:57.200 --> 0:24:59.800
<v Speaker 3>I want to get into the acquisition of Walmart of

0:25:00.040 --> 0:25:02.200
<v Speaker 3>Vipers dot Com because that was really pivotal, and I

0:25:02.240 --> 0:25:03.919
<v Speaker 3>think even Business Week did a cover story. But I

0:25:03.920 --> 0:25:08.320
<v Speaker 3>want to ask you from your reporting, these guys are massive,

0:25:08.680 --> 0:25:10.879
<v Speaker 3>and I think about when I go shopping, I shop

0:25:10.880 --> 0:25:12.800
<v Speaker 3>and then I look at Amazon, and I like, kind

0:25:12.800 --> 0:25:15.600
<v Speaker 3>of it's kind of always my check. Are they getting

0:25:15.640 --> 0:25:17.720
<v Speaker 3>too big? Both of them?

0:25:18.640 --> 0:25:18.800
<v Speaker 1>You know?

0:25:18.840 --> 0:25:21.760
<v Speaker 12>I say at the end of the book that I

0:25:21.800 --> 0:25:25.360
<v Speaker 12>hope that the continued competition and the fact that Walmart

0:25:25.400 --> 0:25:29.119
<v Speaker 12>is finally really competitive online leads to things, you know,

0:25:29.680 --> 0:25:33.040
<v Speaker 12>better convenience for consumers, but also maybe better wages for

0:25:33.240 --> 0:25:37.840
<v Speaker 12>employees as they compete for talent. They're both getting into healthcare.

0:25:37.520 --> 0:25:39.440
<v Speaker 3>Which is something Walmart has gotten a lot of criticism

0:25:39.480 --> 0:25:40.240
<v Speaker 3>for over the years.

0:25:40.240 --> 0:25:45.240
<v Speaker 12>Correct, both getting into healthcare, and perhaps you know that

0:25:45.320 --> 0:25:48.359
<v Speaker 12>is the industry that's ripe for better consumer you know,

0:25:48.400 --> 0:25:55.000
<v Speaker 12>attention and and so maybe, but that's sort of an idealistic,

0:25:55.320 --> 0:25:57.479
<v Speaker 12>you know, way to think about these two companies that

0:25:57.520 --> 0:26:01.320
<v Speaker 12>have not always inspired you know, the you know, the

0:26:01.359 --> 0:26:05.439
<v Speaker 12>greatest feelings among you know, I mean labor groups, consumer groups,

0:26:05.480 --> 0:26:09.280
<v Speaker 12>small businesses and so are they too big? I mean

0:26:09.600 --> 0:26:13.560
<v Speaker 12>I'll leave that to you know, regulators to figure out.

0:26:13.600 --> 0:26:14.960
<v Speaker 11>I think Walmart's days.

0:26:14.800 --> 0:26:20.200
<v Speaker 12>In the in the line in sorry, scrutinized spotlight fire, Yeah,

0:26:20.240 --> 0:26:22.320
<v Speaker 12>has sort of passed, which has been you know, I

0:26:22.600 --> 0:26:25.400
<v Speaker 12>report in the book Andy Jasse has been angered by

0:26:25.440 --> 0:26:27.919
<v Speaker 12>that over the years, like white like they're the biggest

0:26:28.200 --> 0:26:31.119
<v Speaker 12>retailer revenue, Like what's up and they've had to explain

0:26:31.200 --> 0:26:33.520
<v Speaker 12>like it's it's our turn now, right, it's our turn.

0:26:33.600 --> 0:26:36.600
<v Speaker 12>And so we'll be interested to see what happens with

0:26:36.640 --> 0:26:40.639
<v Speaker 12>the FTC. Will that lawsuit eventually happened? And sorry, I

0:26:40.640 --> 0:26:41.880
<v Speaker 12>think I well, I.

0:26:41.840 --> 0:26:43.560
<v Speaker 10>Was just going to ask about the employees, because of

0:26:43.560 --> 0:26:47.280
<v Speaker 10>course the two of them competing is good for consumers

0:26:47.400 --> 0:26:49.120
<v Speaker 10>in the sense that it lowers prices.

0:26:50.280 --> 0:26:52.160
<v Speaker 4>But I can't.

0:26:52.160 --> 0:26:56.840
<v Speaker 10>Imagine how they would how that would benefit their employees.

0:26:56.840 --> 0:26:59.960
<v Speaker 4>And I know the each try and put a positive spin.

0:26:59.800 --> 0:27:03.080
<v Speaker 10>On things like paying a fifteen dollars minimum wage, or

0:27:03.920 --> 0:27:04.240
<v Speaker 10>you know.

0:27:04.200 --> 0:27:06.520
<v Speaker 11>They have college education programs.

0:27:06.560 --> 0:27:08.840
<v Speaker 12>Yes, they both sort of match each other with over

0:27:08.880 --> 0:27:11.480
<v Speaker 12>the years, but they.

0:27:11.320 --> 0:27:15.520
<v Speaker 10>Do, I mean, make a bigger margin on the backs

0:27:15.560 --> 0:27:18.159
<v Speaker 10>of these employees, right, I mean, the whole point of

0:27:18.200 --> 0:27:20.840
<v Speaker 10>a business like this is to kind of squeeze costs

0:27:20.880 --> 0:27:24.840
<v Speaker 10>in places like labor to make more money for the shareholders.

0:27:25.080 --> 0:27:30.199
<v Speaker 12>Yeah, and they both drive drive people really hard. I

0:27:30.200 --> 0:27:32.040
<v Speaker 12>have a chapter in the book that's all about how

0:27:32.040 --> 0:27:34.480
<v Speaker 12>in the last five years Walmart has recruited a lot

0:27:34.520 --> 0:27:39.239
<v Speaker 12>of warehouse leaders and other logistics leaders from Amazon and

0:27:39.280 --> 0:27:42.280
<v Speaker 12>how they sort of imported the Amazon way and culture,

0:27:42.359 --> 0:27:47.760
<v Speaker 12>which not surprisingly did not always go well. And I

0:27:47.760 --> 0:27:51.680
<v Speaker 12>think as they add automation, the companies will say we've

0:27:51.720 --> 0:27:54.280
<v Speaker 12>taken away some of the most menial work, some of

0:27:54.320 --> 0:27:57.520
<v Speaker 12>the toughest work. But what often happens at the same

0:27:57.600 --> 0:28:00.439
<v Speaker 12>time is the work speeds up. I see all these

0:28:00.480 --> 0:28:05.760
<v Speaker 12>states investigating Amazon. It's not because it's not because the

0:28:06.000 --> 0:28:09.640
<v Speaker 12>you know, one one act in the work is really difficult.

0:28:09.680 --> 0:28:12.399
<v Speaker 12>It's because of the repetition and the speed, and so

0:28:13.400 --> 0:28:15.720
<v Speaker 12>I think it's a big issue. And they say they're

0:28:15.800 --> 0:28:19.000
<v Speaker 12>you know, they're constantly improving safety and the like. But

0:28:19.320 --> 0:28:22.560
<v Speaker 12>there's a lot of investigations and evidence that proves otherwise.

0:28:22.600 --> 0:28:23.879
<v Speaker 3>There's a lot of stuff things and I kind of

0:28:23.880 --> 0:28:28.280
<v Speaker 3>mixed them together. But yeah, Jet dot com and Walmart

0:28:28.680 --> 0:28:30.840
<v Speaker 3>talk to us about some of the kind of interesting developments.

0:28:30.880 --> 0:28:32.240
<v Speaker 3>We've got about two minutes and then we'll come back

0:28:32.240 --> 0:28:35.280
<v Speaker 3>and talk some more. But were these pivotal experiences.

0:28:35.560 --> 0:28:40.240
<v Speaker 12>Yeah, so, so Amazon bought diapers dot com the parent

0:28:40.280 --> 0:28:43.200
<v Speaker 12>company was Quizy way back around twenty ten, stole it

0:28:43.200 --> 0:28:43.880
<v Speaker 12>from Walmart.

0:28:45.200 --> 0:28:45.960
<v Speaker 11>Mark Lurriy, that.

0:28:46.040 --> 0:28:49.120
<v Speaker 12>Entrepreneur spent a few years at Amazon, starts Jet dot Com.

0:28:49.480 --> 0:28:51.640
<v Speaker 11>Maybe started working on it while he was at Amazon.

0:28:51.760 --> 0:28:52.600
<v Speaker 11>Not totally clear.

0:28:53.680 --> 0:28:56.400
<v Speaker 12>Wasn't really working out, but a lot of attention, and

0:28:57.360 --> 0:29:00.680
<v Speaker 12>Walmart was needed a big you know, in books of talent,

0:29:01.840 --> 0:29:04.000
<v Speaker 12>make the biggest acquisition in e commerce at the time,

0:29:04.040 --> 0:29:09.360
<v Speaker 12>three point three billion. Mark Lori comes in, you know,

0:29:09.920 --> 0:29:13.840
<v Speaker 12>some successes, some failures, but the metabolism of the online

0:29:14.360 --> 0:29:17.959
<v Speaker 12>sales at Walmart picks up and then they both compete.

0:29:17.960 --> 0:29:21.520
<v Speaker 12>Recently in healthcare on an acquisition called pill Pack, Walmart

0:29:21.680 --> 0:29:23.680
<v Speaker 12>thought it had it. I have a great anecdote in

0:29:23.680 --> 0:29:27.840
<v Speaker 12>the book. Ceo of Walmart, actually here's the Amazon deal,

0:29:27.840 --> 0:29:31.000
<v Speaker 12>announced that they bought PillPack instead, tries to convince the

0:29:31.120 --> 0:29:34.760
<v Speaker 12>entrepreneur that he should back out of the Amazon deal,

0:29:34.800 --> 0:29:36.600
<v Speaker 12>even though I mean, it's kind of crazy. The deal

0:29:36.680 --> 0:29:39.600
<v Speaker 12>is public to the world, and it just shows like

0:29:39.720 --> 0:29:42.880
<v Speaker 12>in some key areas where they're trying to get first

0:29:42.880 --> 0:29:46.200
<v Speaker 12>mover advantage, they've gone head to head and more often

0:29:46.240 --> 0:29:47.960
<v Speaker 12>than not, it seems Amazon has one.

0:29:48.400 --> 0:29:51.200
<v Speaker 3>Tell us about meeting because you did for this book.

0:29:51.240 --> 0:29:54.880
<v Speaker 3>The CEO of Walmart, mister McMillan, yees.

0:29:54.920 --> 0:29:59.680
<v Speaker 12>So I went down to Bentonville, Walmart's hometown, met Doug

0:29:59.720 --> 0:30:03.200
<v Speaker 12>mcma in the what they call the home office. I

0:30:03.200 --> 0:30:04.840
<v Speaker 12>guess they have a new one being built, so this

0:30:04.920 --> 0:30:08.040
<v Speaker 12>is the original, and spent about ninety minutes with him.

0:30:08.080 --> 0:30:10.440
<v Speaker 12>We had a sixty minute interview. Plan went a little

0:30:10.440 --> 0:30:13.560
<v Speaker 12>over which I was I was happy about, although they

0:30:13.560 --> 0:30:17.120
<v Speaker 12>did not. My original pitch was to trail him for

0:30:17.160 --> 0:30:20.160
<v Speaker 12>a week. That did not really work out, and that's

0:30:20.200 --> 0:30:24.080
<v Speaker 12>not something that Walmart really does much of. And so Doug,

0:30:24.360 --> 0:30:26.320
<v Speaker 12>you know, I was really interested in getting to know

0:30:26.400 --> 0:30:28.240
<v Speaker 12>him a little bit. He's been at that he's a

0:30:28.240 --> 0:30:30.920
<v Speaker 12>Walmart lifer, but they saw him as a CEO kind

0:30:30.920 --> 0:30:34.000
<v Speaker 12>of bridge generations, like you know, they talk. He talks

0:30:34.040 --> 0:30:36.440
<v Speaker 12>about how he you know, he had an early Palm

0:30:36.480 --> 0:30:42.160
<v Speaker 12>pilot and like was into tech and tech forward and

0:30:42.400 --> 0:30:45.120
<v Speaker 12>they made him CEO about nine years ago, and so

0:30:45.680 --> 0:30:47.880
<v Speaker 12>his challenge has been just massive, and so it was

0:30:47.920 --> 0:30:51.760
<v Speaker 12>interesting getting his thoughts on it to both you know,

0:30:51.960 --> 0:30:54.960
<v Speaker 12>help reinvigorate the store business, which when he first came

0:30:55.000 --> 0:30:58.959
<v Speaker 12>on board was struggling, while also trying to just you know,

0:30:59.360 --> 0:31:02.200
<v Speaker 12>get into Cornel buy in that Amazon could be an

0:31:02.200 --> 0:31:05.360
<v Speaker 12>existential threat, which is how he called what he called

0:31:05.360 --> 0:31:08.840
<v Speaker 12>it to his executives and also board members in those

0:31:08.880 --> 0:31:12.000
<v Speaker 12>first couple of years as CEO. And you know, he

0:31:12.040 --> 0:31:14.640
<v Speaker 12>sees a lot of progress there, but he told me

0:31:14.720 --> 0:31:18.800
<v Speaker 12>he's still dissatisfied with the speed of transformation, the speed

0:31:18.840 --> 0:31:20.959
<v Speaker 12>of change in some parts of the organization.

0:31:21.800 --> 0:31:22.680
<v Speaker 11>I thought he might have.

0:31:22.680 --> 0:31:24.560
<v Speaker 12>One more year in him, maybe at ten years he

0:31:24.600 --> 0:31:27.720
<v Speaker 12>would step aside, but there was some good reporting recently

0:31:27.760 --> 0:31:30.040
<v Speaker 12>that he's going to stay on board a couple more

0:31:30.120 --> 0:31:34.400
<v Speaker 12>years as they try to really make sure that this

0:31:34.520 --> 0:31:39.680
<v Speaker 12>new digital DNAs is infused throughout the organization, which you know,

0:31:40.000 --> 0:31:41.720
<v Speaker 12>let's be real, it's one of the biggest companies in

0:31:41.720 --> 0:31:43.920
<v Speaker 12>the world. Not an easy thing to turn that ship.

0:31:44.760 --> 0:31:46.440
<v Speaker 4>I wonder what I wonder.

0:31:46.200 --> 0:31:49.760
<v Speaker 10>What happens if the US further d keuples from China,

0:31:50.200 --> 0:31:52.800
<v Speaker 10>because both of these stores, I had to be fair,

0:31:52.840 --> 0:31:54.720
<v Speaker 10>I haven't spent a lot of time in a Walmart,

0:31:54.760 --> 0:31:56.520
<v Speaker 10>but I do spend a lot of time on the

0:31:56.520 --> 0:31:59.920
<v Speaker 10>Walmart app and on the Amazon app, and I often

0:32:00.160 --> 0:32:04.000
<v Speaker 10>try and look for products that are made in America

0:32:04.160 --> 0:32:07.520
<v Speaker 10>or I just noticed that all of my choices are

0:32:07.520 --> 0:32:10.520
<v Speaker 10>made in China, like everything and the brand name is

0:32:11.000 --> 0:32:16.240
<v Speaker 10>it's something you can't exactly so, but do they do.

0:32:16.280 --> 0:32:18.080
<v Speaker 4>They make an effort to try.

0:32:18.120 --> 0:32:20.800
<v Speaker 10>And I wish Amazon would have a made in America section,

0:32:20.920 --> 0:32:22.880
<v Speaker 10>but they don't.

0:32:23.160 --> 0:32:24.920
<v Speaker 3>For a while, Yeah, and I thought, and.

0:32:27.320 --> 0:32:30.120
<v Speaker 12>I know Amazon now has like a small a small

0:32:30.160 --> 0:32:33.680
<v Speaker 12>business badge, which I think there's been some reporting that's

0:32:33.720 --> 0:32:37.440
<v Speaker 12>proven to not always be completely accurate. Small business from

0:32:37.520 --> 0:32:41.640
<v Speaker 12>China and listen, Amazon made this bet back in about

0:32:41.640 --> 0:32:44.400
<v Speaker 12>twenty thirteen, the twenty fifteen that they were going to

0:32:44.480 --> 0:32:50.320
<v Speaker 12>go all out courting Amazon Sorry Chinese suppliers and sellers,

0:32:50.920 --> 0:32:54.800
<v Speaker 12>and you know, they went growth, growth, growth, and they

0:32:54.880 --> 0:32:58.480
<v Speaker 12>knew there would be some trade offs and they've just

0:32:58.560 --> 0:33:02.080
<v Speaker 12>kind of lived with it. Walmart had an opportunity on

0:33:02.120 --> 0:33:05.600
<v Speaker 12>their website at least when they were welcoming in new

0:33:05.720 --> 0:33:09.560
<v Speaker 12>sellers trying to build that marketplace business, to take a

0:33:09.560 --> 0:33:13.000
<v Speaker 12>different path. Now maybe that wasn't no Chinese sellers, but

0:33:13.040 --> 0:33:16.440
<v Speaker 12>maybe that was US sellers only or something, you know,

0:33:16.560 --> 0:33:21.040
<v Speaker 12>something that would be more curated and something they could

0:33:21.120 --> 0:33:26.280
<v Speaker 12>market honestly. And they just I think mostly under Marc Luri,

0:33:26.400 --> 0:33:29.640
<v Speaker 12>a previous e commerce leader and entrepreneur, they really went

0:33:29.680 --> 0:33:33.680
<v Speaker 12>after just growth and expanding the seller base and they

0:33:33.720 --> 0:33:36.800
<v Speaker 12>opened up to China in a big way. And you know,

0:33:38.040 --> 0:33:40.239
<v Speaker 12>I hope it doesn't blow up in some way for

0:33:40.480 --> 0:33:43.400
<v Speaker 12>you know, for either company, because that'll mean that something

0:33:43.440 --> 0:33:46.200
<v Speaker 12>bad happened for consumers on the marketplace business.

0:33:46.720 --> 0:33:49.880
<v Speaker 11>But it just, you know, there's a reason.

0:33:51.360 --> 0:33:54.000
<v Speaker 12>It just doesn't seem natural to have every product available

0:33:54.000 --> 0:33:57.840
<v Speaker 12>across the world at your fingertips without knowing a ton

0:33:57.920 --> 0:33:59.960
<v Speaker 12>about the person behind it, And that's sort of where

0:34:00.040 --> 0:34:00.640
<v Speaker 12>we're at today.

0:34:00.720 --> 0:34:03.480
<v Speaker 3>But Jason, can we have a world where both Amazon

0:34:03.960 --> 0:34:09.080
<v Speaker 3>and Walmart exist? I mean, your book is Winter sells all?

0:34:09.160 --> 0:34:09.680
<v Speaker 1>Yes? Right?

0:34:09.760 --> 0:34:10.160
<v Speaker 11>Right?

0:34:10.320 --> 0:34:10.440
<v Speaker 13>No?

0:34:10.560 --> 0:34:13.399
<v Speaker 12>So I think there was a long period of time

0:34:13.440 --> 0:34:18.120
<v Speaker 12>where some people at the top of Walmart were concerned

0:34:18.160 --> 0:34:20.239
<v Speaker 12>if they didn't start making a dent and getting their

0:34:20.239 --> 0:34:24.359
<v Speaker 12>act together, that yes, in some key online categories, there

0:34:24.400 --> 0:34:27.120
<v Speaker 12>would be one winner, and that would be Amazon with

0:34:27.680 --> 0:34:31.600
<v Speaker 12>ninety percent market share, ninety five percent market share. I

0:34:31.640 --> 0:34:35.319
<v Speaker 12>think they've done enough over the last few years that

0:34:35.320 --> 0:34:40.040
<v Speaker 12>that reality does not seem, you know, in the near term.

0:34:40.160 --> 0:34:43.920
<v Speaker 12>And putting aside Amazon's also its own struggles in the

0:34:43.960 --> 0:34:46.120
<v Speaker 12>last couple of years with cost cutting and the like.

0:34:46.160 --> 0:34:48.680
<v Speaker 3>But does Walmart have an advantage because it does have stores?

0:34:48.719 --> 0:34:50.640
<v Speaker 3>And I think about some stores that I shop at

0:34:50.680 --> 0:34:52.680
<v Speaker 3>that I love that I can order online pick up

0:34:52.719 --> 0:34:54.799
<v Speaker 3>in a store. Do like I have a lot of flexibility.

0:34:54.840 --> 0:34:56.560
<v Speaker 4>I don't like to hang out in a store. It's

0:34:56.560 --> 0:34:58.240
<v Speaker 4>not as much fun to hang out online.

0:34:58.360 --> 0:35:01.280
<v Speaker 3>But I do wonder is there that an advantage potentially,

0:35:01.440 --> 0:35:03.799
<v Speaker 3>especially as it builds, it should.

0:35:03.560 --> 0:35:06.360
<v Speaker 12>Be it should be and as you know, as we

0:35:06.440 --> 0:35:09.560
<v Speaker 12>see labor costs up over the last couple of years,

0:35:10.040 --> 0:35:14.120
<v Speaker 12>supply chain costs, logistics cost up, you know, returning items

0:35:14.160 --> 0:35:17.400
<v Speaker 12>like returning e commerce items. It should not like the

0:35:17.480 --> 0:35:20.759
<v Speaker 12>myth doesn't work to do it free by shipment. And

0:35:20.800 --> 0:35:23.959
<v Speaker 12>so Amazon has failed up to date with a real

0:35:24.000 --> 0:35:26.759
<v Speaker 12>physical presence. And I think they'll keep at it because

0:35:26.840 --> 0:35:29.040
<v Speaker 12>it is an advantage for Walmart, even if it's just

0:35:29.080 --> 0:35:31.640
<v Speaker 12>to give customers, yes, place to pick up, but a

0:35:31.719 --> 0:35:32.560
<v Speaker 12>place to return.

0:35:32.680 --> 0:35:32.839
<v Speaker 10>Right.

0:35:32.960 --> 0:35:35.200
<v Speaker 12>I ordered trying to get ready for this week in

0:35:35.280 --> 0:35:38.600
<v Speaker 12>my book launch, ordered like forty seven different white shirts

0:35:38.640 --> 0:35:41.439
<v Speaker 12>online and like, you know, knowing I could just ship

0:35:41.520 --> 0:35:44.400
<v Speaker 12>him back or in some cases return to a store,

0:35:44.400 --> 0:35:45.680
<v Speaker 12>but not an Amazon store.

0:35:46.120 --> 0:35:48.840
<v Speaker 4>It's interesting in terms of.

0:35:50.200 --> 0:35:53.320
<v Speaker 10>The fact that no one's written a book about Amazon Walmart,

0:35:53.360 --> 0:35:54.960
<v Speaker 10>and no one's really done that.

0:35:55.200 --> 0:35:59.560
<v Speaker 3>Bradstone, He's written to books, Well, no Amazon.

0:35:59.280 --> 0:36:01.120
<v Speaker 4>That's about Amazon. I'm talking about Walmart.

0:36:01.280 --> 0:36:01.440
<v Speaker 11>Yeah.

0:36:01.480 --> 0:36:03.880
<v Speaker 4>Are they secretive or they are? You know, is it

0:36:03.960 --> 0:36:06.280
<v Speaker 4>hard to get in there? They wouldn't.

0:36:06.640 --> 0:36:08.279
<v Speaker 10>Yeah, hang out with the CEO for a week. I

0:36:08.320 --> 0:36:11.280
<v Speaker 10>get that because that's annoying. But yeah, and they've they've

0:36:12.239 --> 0:36:16.440
<v Speaker 10>they are, they're very secretive. They are secretive, I think listen.

0:36:16.480 --> 0:36:18.640
<v Speaker 10>I think they participated in some way for a couple

0:36:18.680 --> 0:36:20.560
<v Speaker 10>of reasons. I think I showed them over the years

0:36:20.560 --> 0:36:23.440
<v Speaker 10>I was going to publish stuff that they didn't think

0:36:23.480 --> 0:36:25.560
<v Speaker 10>would get out of the company that did, and so

0:36:25.640 --> 0:36:28.200
<v Speaker 10>I would continue to And I think they wanted to

0:36:28.280 --> 0:36:31.400
<v Speaker 10>tell try to tell the story that they are finally

0:36:31.480 --> 0:36:34.520
<v Speaker 10>turning a corner and that they you know, they get

0:36:34.560 --> 0:36:37.799
<v Speaker 10>how far they were behind, and but that they can

0:36:37.960 --> 0:36:42.040
<v Speaker 10>lead in some ways. I think also, you know, for

0:36:42.120 --> 0:36:45.080
<v Speaker 10>a lot of years when they were they've seen you know,

0:36:45.160 --> 0:36:47.200
<v Speaker 10>Amazon has been in the spotlight for a lot of

0:36:47.239 --> 0:36:49.800
<v Speaker 10>bad reasons in the press and in DC for the

0:36:49.880 --> 0:36:52.839
<v Speaker 10>last couple of years. So they have some opportunity here

0:36:52.920 --> 0:36:55.640
<v Speaker 10>to tell a different story as well and sort of

0:36:55.680 --> 0:36:57.040
<v Speaker 10>stand apart from Amazon.

0:36:57.520 --> 0:36:59.759
<v Speaker 3>I'm thinking of our audience just got about unfortunately, Jason,

0:36:59.760 --> 0:37:03.280
<v Speaker 3>about thirty seconds left here, we talked about healthcare healthcare earlier.

0:37:03.600 --> 0:37:07.959
<v Speaker 3>Should our investment world and audience be watching these two

0:37:08.080 --> 0:37:09.840
<v Speaker 3>in terms of what they might do to healthcare?

0:37:10.080 --> 0:37:12.719
<v Speaker 12>Absolutely, I think ten years from now we may. I

0:37:12.760 --> 0:37:15.000
<v Speaker 12>don't know if we're being these jobs, but if we were,

0:37:15.120 --> 0:37:17.040
<v Speaker 12>and we were back here, I think we may look

0:37:17.080 --> 0:37:19.560
<v Speaker 12>back and say, the biggest impact these companies have had

0:37:19.560 --> 0:37:22.880
<v Speaker 12>in the last ten years on everyday people have is

0:37:22.960 --> 0:37:26.239
<v Speaker 12>in healthcare, whether that's physical clinics like Walmart clinics one

0:37:26.320 --> 0:37:30.279
<v Speaker 12>Medical Clinics which now Amazon owns, or virtual care, or

0:37:30.320 --> 0:37:33.600
<v Speaker 12>maybe upending the insurance industry in some way. You know,

0:37:33.640 --> 0:37:36.520
<v Speaker 12>the biggest challenge to Walmart in the healthcare is they've

0:37:37.320 --> 0:37:41.759
<v Speaker 12>just churned through leaders yea, and they say there's a commitment,

0:37:41.800 --> 0:37:44.399
<v Speaker 12>but we need to see that, you know, that sort

0:37:44.440 --> 0:37:46.400
<v Speaker 12>of come through in steady leadership.

0:37:46.560 --> 0:37:47.120
<v Speaker 3>This was fun.

0:37:47.200 --> 0:37:48.480
<v Speaker 11>Good luck with the book, thanks so much.

0:37:48.480 --> 0:37:49.440
<v Speaker 3>Good luck with the white shirt.

0:37:49.960 --> 0:37:53.160
<v Speaker 11>I mean I have many at home waiting to go back.

0:37:53.520 --> 0:37:56.440
<v Speaker 3>Jason Delray. The book is Winter Sales All Amazon, Walmart,

0:37:56.480 --> 0:37:57.800
<v Speaker 3>and the Battle for our Wallets.

0:37:58.120 --> 0:38:01.479
<v Speaker 1>You're listening to the Bloomberg Business This Week podcast that's

0:38:01.520 --> 0:38:04.240
<v Speaker 1>just live weekdays from two to five pm Easter.

0:38:04.280 --> 0:38:07.680
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App and YouTube.

0:38:07.880 --> 0:38:10.919
<v Speaker 1>You can also listen live to our flagship New York station,

0:38:11.480 --> 0:38:14.400
<v Speaker 1>Just Say Alexa, play Bloomberg You Love Them thirty.

0:38:16.239 --> 0:38:16.399
<v Speaker 4>Hey.

0:38:16.440 --> 0:38:19.280
<v Speaker 3>June is Equality Month here at Bloomberg, So every Monday

0:38:19.320 --> 0:38:21.560
<v Speaker 3>and Thursday in the month of June. We're looking at

0:38:21.600 --> 0:38:24.520
<v Speaker 3>all aspects of equality today. Our focus is on the

0:38:24.600 --> 0:38:27.239
<v Speaker 3>lack of equal access when it comes to connectivity, something

0:38:27.320 --> 0:38:28.920
<v Speaker 3>we often talk about at Bloomberg and I feel like,

0:38:29.040 --> 0:38:31.359
<v Speaker 3>you know, Matt coming off the pandemic, when we saw

0:38:31.440 --> 0:38:33.200
<v Speaker 3>kids working from home or trying to work from home

0:38:33.280 --> 0:38:36.480
<v Speaker 3>and then you know, parking in a lot outside of

0:38:36.520 --> 0:38:39.080
<v Speaker 3>McDonald's or something because they just didn't have internet access.

0:38:39.080 --> 0:38:40.439
<v Speaker 3>I thought things were going to get a lot better,

0:38:40.440 --> 0:38:42.040
<v Speaker 3>but as you remind me, it takes time.

0:38:42.239 --> 0:38:47.200
<v Speaker 10>Well, look, that's the biggest problem with the lack of

0:38:47.840 --> 0:38:52.320
<v Speaker 10>broadband nationwide is that when schools sent all the kids

0:38:52.320 --> 0:38:54.960
<v Speaker 10>home and said, you know, work from your laptops or

0:38:55.320 --> 0:38:58.880
<v Speaker 10>you know, telecommute with your iPads, not everyone could do

0:38:58.920 --> 0:39:02.239
<v Speaker 10>that for a various reasons. It's expensive right to own

0:39:02.280 --> 0:39:06.040
<v Speaker 10>that kind of equipment, and even if you are a

0:39:06.120 --> 0:39:08.880
<v Speaker 10>rich person, if you're living in some remote area of

0:39:08.920 --> 0:39:13.880
<v Speaker 10>the country, you just can't get online. So do we

0:39:13.960 --> 0:39:17.440
<v Speaker 10>have to roll out fiber? Is there are there other options?

0:39:17.560 --> 0:39:21.000
<v Speaker 10>We just saw for Elon Musk getting approval from the

0:39:21.040 --> 0:39:24.800
<v Speaker 10>Pentagon to provide starlinks to Ukraine.

0:39:25.120 --> 0:39:27.120
<v Speaker 4>But we also talk about.

0:39:28.200 --> 0:39:34.960
<v Speaker 10>Wireless broadband spreading the joys of high speed connectivity across

0:39:34.960 --> 0:39:35.520
<v Speaker 10>the country.

0:39:35.680 --> 0:39:37.120
<v Speaker 4>Still, it's a big country.

0:39:37.200 --> 0:39:40.839
<v Speaker 10>It's a very, very very big country, and I don't

0:39:40.840 --> 0:39:43.279
<v Speaker 10>think a lot of Americans realize just how big it is.

0:39:43.360 --> 0:39:45.120
<v Speaker 3>You're right, You're right, things we take for granted in

0:39:45.120 --> 0:39:47.520
<v Speaker 3>big metro cities is not the same across the country.

0:39:47.680 --> 0:39:47.839
<v Speaker 11>Well.

0:39:47.920 --> 0:39:50.440
<v Speaker 3>Heidi Binko is co founder and executive director of the

0:39:50.560 --> 0:39:54.840
<v Speaker 3>Just Transition Fund, established in twenty fifteen by Rockefeller Family

0:39:54.840 --> 0:39:59.000
<v Speaker 3>Fund in the Appalachia Funders Network. They are about helping

0:39:59.000 --> 0:40:03.080
<v Speaker 3>communities tap in to federal funding opportunities, including those in

0:40:03.160 --> 0:40:08.120
<v Speaker 3>connectivity and broadband. She joins us on Zoom from Charlottesville, Virginia. Heidi,

0:40:08.239 --> 0:40:10.040
<v Speaker 3>good to have you here, and you've been listening to

0:40:10.120 --> 0:40:12.759
<v Speaker 3>us rant on a little bit. Tell us a little

0:40:12.760 --> 0:40:14.880
<v Speaker 3>bit about your organization and the work that you're doing

0:40:14.920 --> 0:40:16.719
<v Speaker 3>to connect more Americans.

0:40:18.000 --> 0:40:20.920
<v Speaker 14>Yeah, thanks Carolyn, Thanks Matthew for having me today. I'm

0:40:20.920 --> 0:40:23.080
<v Speaker 14>really glad you're talking about broadband. I think there's a

0:40:23.320 --> 0:40:26.880
<v Speaker 14>sort of a quiet crisis in America that you're right, Carol,

0:40:26.880 --> 0:40:29.160
<v Speaker 14>that those of us in metro areas really don't think about.

0:40:29.280 --> 0:40:33.880
<v Speaker 14>So the Just Transition Fund is a nonprofit philanthropic organization

0:40:34.040 --> 0:40:37.040
<v Speaker 14>that I founded a number of years back, and essentially

0:40:37.080 --> 0:40:39.839
<v Speaker 14>we help communities affected by the downturn of the coal

0:40:39.880 --> 0:40:43.719
<v Speaker 14>industry diversify and grow their economies. So we're helping them

0:40:43.760 --> 0:40:47.280
<v Speaker 14>realize they realize their own vision and vision for a thriving,

0:40:48.080 --> 0:40:52.400
<v Speaker 14>vibrant economic future. And we realized along the way that

0:40:53.640 --> 0:40:56.840
<v Speaker 14>we cannot work on economic development. You know, as you

0:40:56.880 --> 0:41:00.239
<v Speaker 14>said in your opening statement, you can't work on workforce development.

0:41:00.400 --> 0:41:05.000
<v Speaker 14>Kids can't access the internet for educational purposes if there

0:41:05.040 --> 0:41:07.799
<v Speaker 14>is not a good broadband connection in these places. And

0:41:08.480 --> 0:41:11.520
<v Speaker 14>people in urban areas don't realize this. I think most

0:41:11.520 --> 0:41:14.400
<v Speaker 14>people don't realize it. But this problem is particularly crude

0:41:14.840 --> 0:41:18.719
<v Speaker 14>acute in rural America. It's even more acute in the

0:41:18.800 --> 0:41:21.360
<v Speaker 14>rural communities in which we work. So third of the

0:41:21.440 --> 0:41:23.640
<v Speaker 14>coal communities that we work and don't have access. And

0:41:23.680 --> 0:41:26.360
<v Speaker 14>it's even worse than some places like West Virginia the nation.

0:41:26.520 --> 0:41:29.360
<v Speaker 3>It's interesting, I'm thinking right now. You know, we're on radio, obviously,

0:41:29.440 --> 0:41:31.880
<v Speaker 3>but we're also on YouTube, and we're on Bloomberg Originals

0:41:31.920 --> 0:41:34.480
<v Speaker 3>are streaming service. And for something like here, you know,

0:41:34.600 --> 0:41:36.960
<v Speaker 3>people take it for granted again, like being able to

0:41:37.040 --> 0:41:40.200
<v Speaker 3>kind of tap into us on multiple platforms. But you're right,

0:41:41.440 --> 0:41:44.720
<v Speaker 3>it's not the case across certainly rural parts of the country.

0:41:44.880 --> 0:41:47.840
<v Speaker 3>What are the government programs that are out there in

0:41:47.880 --> 0:41:50.320
<v Speaker 3>a week where we're talking a lot about governments.

0:41:49.960 --> 0:41:52.839
<v Speaker 10>Well, we have the Big Broadband true, what's it called

0:41:52.840 --> 0:41:57.240
<v Speaker 10>Broadband Equity Access and Deployment deployment, right, the Bad Program,

0:41:57.320 --> 0:41:59.959
<v Speaker 10>which is bad program forty two billion.

0:41:59.640 --> 0:42:02.359
<v Speaker 4>Dollars, so a lot at least, it's like a lot.

0:42:02.480 --> 0:42:05.000
<v Speaker 10>At least the government realizes that there's a problem, right

0:42:05.000 --> 0:42:06.480
<v Speaker 10>and are trying to do something about it.

0:42:07.239 --> 0:42:10.239
<v Speaker 14>Yeah, that's exactly right, Matthew. The Big Program, which is

0:42:10.640 --> 0:42:16.080
<v Speaker 14>administered by the NTIA, the National Telecommunications Information Agency, is

0:42:16.160 --> 0:42:19.480
<v Speaker 14>one of several agencies that is receiving a lot of

0:42:19.520 --> 0:42:25.120
<v Speaker 14>money for broadband to speed broadband adoption across the federal government. Actually,

0:42:25.160 --> 0:42:27.120
<v Speaker 14>I don't think people realize it, but there's over one

0:42:27.239 --> 0:42:31.759
<v Speaker 14>hundred billion dollars available through this administration to support broadband

0:42:31.840 --> 0:42:36.200
<v Speaker 14>access access. The problem is it's not that easy for communities,

0:42:36.400 --> 0:42:41.560
<v Speaker 14>particularly rural communities or low capacity communities to access those funds.

0:42:41.800 --> 0:42:44.839
<v Speaker 14>So that's where that's where the Just Transition Fund comes in.

0:42:45.360 --> 0:42:49.360
<v Speaker 10>So what do you do I can imagine, because this

0:42:49.480 --> 0:42:53.200
<v Speaker 10>country really is so big that it's not just West

0:42:53.280 --> 0:42:58.960
<v Speaker 10>Virginia or I don't know, Kansas, but there are multiple

0:42:59.000 --> 0:43:03.160
<v Speaker 10>states where you know, the population per square mile is

0:43:03.239 --> 0:43:06.879
<v Speaker 10>less than one. Right, So how do you you can't

0:43:06.960 --> 0:43:09.400
<v Speaker 10>roll out fiber to all of those places?

0:43:09.480 --> 0:43:09.600
<v Speaker 1>Right?

0:43:09.680 --> 0:43:11.280
<v Speaker 4>Is it about fixed wireless access?

0:43:12.440 --> 0:43:15.359
<v Speaker 14>It's about a lot of different technologies and in your right, right.

0:43:15.440 --> 0:43:20.560
<v Speaker 14>The problem is particularly particularly acute in places like southern Illinois,

0:43:20.640 --> 0:43:24.560
<v Speaker 14>Western Colorado, different places in Ohio, all across the.

0:43:24.480 --> 0:43:29.480
<v Speaker 4>Country, Wyoming, Mexico exactly.

0:43:29.000 --> 0:43:31.840
<v Speaker 14>Right, Like the tribal communities are hit particularly hard the

0:43:31.920 --> 0:43:34.920
<v Speaker 14>Navajo Nation. In some areas, ninety percent of the communities

0:43:34.960 --> 0:43:38.880
<v Speaker 14>can access can't access the internet, right, So it's it's

0:43:38.920 --> 0:43:41.799
<v Speaker 14>it's it's particularly bad. And essentially what we do is

0:43:42.239 --> 0:43:45.680
<v Speaker 14>we act as an early stage investor to help communities

0:43:45.800 --> 0:43:49.239
<v Speaker 14>access the federal capital capital they need to build out

0:43:49.520 --> 0:43:53.640
<v Speaker 14>and access broadband infrastructure. So whether it's you know, fixed

0:43:53.680 --> 0:43:58.759
<v Speaker 14>wireless or or broadband or fixed wireless or starlink or

0:43:58.760 --> 0:44:00.960
<v Speaker 14>what have you, there are different ways to access the

0:44:01.080 --> 0:44:03.480
<v Speaker 14>you guys start these federal problems, do you guys tap

0:44:03.520 --> 0:44:06.120
<v Speaker 14>into st some of our Yeah, some of our communities

0:44:06.160 --> 0:44:09.720
<v Speaker 14>out in out in travel areas are working on that

0:44:09.840 --> 0:44:12.239
<v Speaker 14>are using that. The problem with starlink is that it's

0:44:12.280 --> 0:44:15.520
<v Speaker 14>really expensive now, right, and that's another problem, right, I mean,

0:44:15.719 --> 0:44:18.719
<v Speaker 14>that's what makes this broadband problem so so hard to

0:44:18.760 --> 0:44:22.040
<v Speaker 14>deal with, right, Like, it's not only a problem of

0:44:22.400 --> 0:44:26.080
<v Speaker 14>physical infrastructure of access, but it's also a problem affordability.

0:44:26.200 --> 0:44:28.920
<v Speaker 3>What's what's a successful project that you guys have done

0:44:28.960 --> 0:44:30.640
<v Speaker 3>and we've just got about thirty seconds.

0:44:31.080 --> 0:44:34.080
<v Speaker 14>Yeah, great project that we worked on was in West Virginia.

0:44:34.160 --> 0:44:37.320
<v Speaker 14>We helped a series of communities access more than forty

0:44:37.360 --> 0:44:40.239
<v Speaker 14>five million dollars in federal funds and it ended up

0:44:40.280 --> 0:44:43.960
<v Speaker 14>connecting over thirty thousand of the most disconnected households in

0:44:43.960 --> 0:44:46.640
<v Speaker 14>West Virginia. So those kids that you heard about during

0:44:46.640 --> 0:44:48.960
<v Speaker 14>the pandemic that we're going to the McDonald's Wi Fi

0:44:49.239 --> 0:44:51.920
<v Speaker 14>right parking lot to get Wi Fi to do their homework,

0:44:52.160 --> 0:44:53.480
<v Speaker 14>that's what this project helped.

0:44:53.640 --> 0:44:55.000
<v Speaker 3>Wow, that's amazing.

0:44:55.080 --> 0:44:55.919
<v Speaker 4>That's very good.

0:44:56.080 --> 0:45:00.640
<v Speaker 10>Yeah, absolutely, yeah, because what a disadvantage and it's tough

0:45:00.680 --> 0:45:05.359
<v Speaker 10>that some families, so many families had to endure that.

0:45:06.280 --> 0:45:08.560
<v Speaker 10>Hopefully they don't have to go through that again anytime soon.

0:45:08.719 --> 0:45:10.520
<v Speaker 3>Yeah, and especially in a world, especially when it comes

0:45:10.520 --> 0:45:12.440
<v Speaker 3>to things like school. I mean, that's how kids, that's

0:45:12.440 --> 0:45:15.239
<v Speaker 3>how they work. It's just very different, certainly from when

0:45:15.239 --> 0:45:16.759
<v Speaker 3>I went to school, and maybe when you went to.

0:45:16.760 --> 0:45:19.600
<v Speaker 4>School, a little different from back in the seventies.

0:45:19.640 --> 0:45:21.440
<v Speaker 3>Here, Heidi, thank you so much. I'm glad we were

0:45:21.440 --> 0:45:23.360
<v Speaker 3>able to check in with you. Heidibinko, she's co founder

0:45:23.400 --> 0:45:26.440
<v Speaker 3>and executive director of the Just Transition Fund, joining us

0:45:26.480 --> 0:45:29.799
<v Speaker 3>on Zoom from Charlottesville, Virginia. No, I just remember with

0:45:29.800 --> 0:45:31.680
<v Speaker 3>my own daughter, like it's like all these assignments came

0:45:31.719 --> 0:45:35.600
<v Speaker 3>in on, like laptops and everything, and how they communicate

0:45:35.600 --> 0:45:37.560
<v Speaker 3>with teachers and great, like, it's just different.

0:45:37.640 --> 0:45:38.839
<v Speaker 4>We should revolt, all right?

0:45:39.520 --> 0:45:40.440
<v Speaker 3>You ready ready to do?

0:45:40.600 --> 0:45:41.040
<v Speaker 8>Okay?

0:45:41.400 --> 0:45:41.719
<v Speaker 2>All right?

0:45:41.760 --> 0:45:43.560
<v Speaker 3>You are listening and watching Bloomberg Radio.

0:45:46.200 --> 0:45:49.759
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. That's us

0:45:49.800 --> 0:45:52.480
<v Speaker 1>live weekdays from two to five pm Eastern.

0:45:52.360 --> 0:45:55.680
<v Speaker 2>On Bloomberg Radio, the Bloomberg Business App, and you too.

0:45:55.960 --> 0:45:59.000
<v Speaker 1>You can also listen live to our flagship New York station,

0:45:59.560 --> 0:46:01.680
<v Speaker 1>Just say Alexa, play Bloomberg.

0:46:01.719 --> 0:46:02.759
<v Speaker 11>You love them thirty.

0:46:04.160 --> 0:46:06.400
<v Speaker 3>All right, Well, no doubt about it. N VideA betting

0:46:06.440 --> 0:46:09.360
<v Speaker 3>big time on AI so to our investors that Nvideo

0:46:09.440 --> 0:46:11.719
<v Speaker 3>is going to get at this right because and Video

0:46:11.760 --> 0:46:13.799
<v Speaker 3>is now a one trillion dollar market cap company, just

0:46:13.800 --> 0:46:15.600
<v Speaker 3>one of nine companies to get there, a move that

0:46:15.680 --> 0:46:19.880
<v Speaker 3>put it into today's Alpha pack of Silicon Valley h

0:46:20.239 --> 0:46:23.440
<v Speaker 3>and I got to say, it's really interesting considering the

0:46:23.560 --> 0:46:26.160
<v Speaker 3>Nvidia history, which is what a story in the current

0:46:26.160 --> 0:46:29.640
<v Speaker 3>issue of Bloomberg Business Week gets into that story, as

0:46:29.640 --> 0:46:32.360
<v Speaker 3>we said in Bloomberg Business Week, on newstands, online at

0:46:32.360 --> 0:46:34.640
<v Speaker 3>Bloomberg dot com, Slash BusinessWeek, and of course on the

0:46:34.680 --> 0:46:37.280
<v Speaker 3>Bloomberg Let's get into it at Bloomberg News Technology reporter

0:46:37.320 --> 0:46:40.040
<v Speaker 3>Austin Carr on the phone in Boston, and of course

0:46:40.040 --> 0:46:42.040
<v Speaker 3>with us the editor of Bloomberg Business Week, Jill Webber

0:46:42.080 --> 0:46:45.400
<v Speaker 3>here in our Bloomberg Interactive Brokers studio. Every time we

0:46:45.480 --> 0:46:47.760
<v Speaker 3>do anything though that has an AI connection, I always

0:46:47.800 --> 0:46:50.160
<v Speaker 3>forget the open AI and Elon Musk like it all

0:46:50.239 --> 0:46:52.600
<v Speaker 3>goes Elon is everywhere. I know that that's not what this.

0:46:52.560 --> 0:46:55.960
<v Speaker 5>Story and that one, you know, goes from a couple

0:46:55.960 --> 0:46:59.319
<v Speaker 5>of years ago, even when you know there was going

0:46:59.360 --> 0:47:00.360
<v Speaker 5>to be a lot of interest this.

0:47:00.440 --> 0:47:03.279
<v Speaker 4>But the thing that I think that reveals.

0:47:02.880 --> 0:47:05.160
<v Speaker 5>Is that in video is really at the heart of

0:47:05.320 --> 0:47:08.880
<v Speaker 5>the AI conversation, which you know that newslash not the

0:47:08.880 --> 0:47:11.200
<v Speaker 5>first person to say that. But what has been impressive

0:47:11.280 --> 0:47:14.920
<v Speaker 5>is that they've only become more entrenched and more powerful

0:47:14.960 --> 0:47:17.040
<v Speaker 5>and more valuable as a company.

0:47:17.000 --> 0:47:18.479
<v Speaker 4>That in this time.

0:47:18.760 --> 0:47:23.360
<v Speaker 5>Yeah, and the person who's leading the company is really

0:47:23.480 --> 0:47:26.640
<v Speaker 5>kind of a fascinating person. And he's been at the

0:47:26.640 --> 0:47:29.640
<v Speaker 5>head of the company for a really long time, right Austin,

0:47:30.000 --> 0:47:31.920
<v Speaker 5>And so you guys to spend some time with him.

0:47:31.960 --> 0:47:32.480
<v Speaker 4>What's he like?

0:47:33.520 --> 0:47:38.040
<v Speaker 15>Jenson's long He's a fascinating, extremely intense, very sharp elbowed

0:47:38.719 --> 0:47:41.440
<v Speaker 15>chief executive officer. He was a co founder of Nvidia,

0:47:41.480 --> 0:47:43.640
<v Speaker 15>has been there since. It was known as a gaming

0:47:43.680 --> 0:47:47.360
<v Speaker 15>pioneer back in nineteen the late nineteen nineties for developing

0:47:47.360 --> 0:47:50.799
<v Speaker 15>graphics cards, and only recently if they started to get

0:47:50.840 --> 0:47:54.880
<v Speaker 15>credit for their expansion into developing graphics processors for AI.

0:47:55.880 --> 0:47:57.880
<v Speaker 15>But even though you know, we're just getting hit to

0:47:57.920 --> 0:48:00.879
<v Speaker 15>them with them passing a trillion dollars market cap or

0:48:01.160 --> 0:48:04.480
<v Speaker 15>being at the core of open AI's sort of foundational

0:48:04.520 --> 0:48:08.880
<v Speaker 15>technology with their microchips, they've been, you know, working on

0:48:08.920 --> 0:48:11.279
<v Speaker 15>this AI challenge since the mid two thousands. It's a

0:48:11.360 --> 0:48:14.080
<v Speaker 15>huge bet. The company took back in a round two

0:48:14.080 --> 0:48:16.719
<v Speaker 15>thousand and six to start pivoting towards these sort of

0:48:16.960 --> 0:48:21.840
<v Speaker 15>high performance computing problems, developing graphics cards that could handle

0:48:21.920 --> 0:48:24.520
<v Speaker 15>a lot more than just loading up a game on

0:48:24.560 --> 0:48:28.080
<v Speaker 15>your laptop. And so this company, helm by Jensen Wang,

0:48:28.120 --> 0:48:30.960
<v Speaker 15>really deserves credit for making this big bet and actually

0:48:30.960 --> 0:48:33.680
<v Speaker 15>pulling it off over a lot of years of doubt

0:48:34.239 --> 0:48:36.360
<v Speaker 15>about what this technology can do beyond gaming.

0:48:37.000 --> 0:48:40.360
<v Speaker 10>So because he you know, I always think of Nvidia

0:48:41.120 --> 0:48:44.080
<v Speaker 10>with gaming. I'm a big call duty guy. You can

0:48:44.080 --> 0:48:46.799
<v Speaker 10>play against me my gamer tag, a shower fan. But

0:48:47.160 --> 0:48:50.640
<v Speaker 10>I never think of them as doing anything else. They

0:48:50.680 --> 0:48:52.880
<v Speaker 10>have made other bets that have failed, right.

0:48:53.440 --> 0:48:55.560
<v Speaker 15>They've paid a lot of bets that failed. Jensen Kuang

0:48:55.640 --> 0:48:57.600
<v Speaker 15>actually prides himself on that. He used to say back

0:48:57.640 --> 0:48:59.239
<v Speaker 15>in the day that they were always ninety days of

0:49:00.440 --> 0:49:03.120
<v Speaker 15>from going out of business. He bet on you know,

0:49:03.239 --> 0:49:08.279
<v Speaker 15>tablets going into the smartphone space with more chips, bet

0:49:08.320 --> 0:49:11.719
<v Speaker 15>on various graphics cards that failed, and so this, you know,

0:49:11.760 --> 0:49:14.359
<v Speaker 15>although it looks prescient in retrospect, this was actually one

0:49:14.360 --> 0:49:16.799
<v Speaker 15>of many bets he laid over the past decade or two.

0:49:16.920 --> 0:49:20.239
<v Speaker 15>But he's always operated on that sort of knife edge,

0:49:20.680 --> 0:49:23.640
<v Speaker 15>which is actually pretty rare in the semiconductor industry when

0:49:23.920 --> 0:49:25.640
<v Speaker 15>if you do mess up a chip cycle, it can

0:49:25.680 --> 0:49:29.160
<v Speaker 15>have huge, huge impact. And you know, these companies really

0:49:29.160 --> 0:49:31.800
<v Speaker 15>suffer if they miss a cycle or missed a chip generation.

0:49:32.080 --> 0:49:34.399
<v Speaker 15>And yet that's something that Jensen Hong is really pushed toward.

0:49:34.440 --> 0:49:37.240
<v Speaker 15>He's not just going toward the incremental update. He's actually

0:49:37.239 --> 0:49:40.320
<v Speaker 15>making this massive other bet beyond loading Call of Duty

0:49:40.360 --> 0:49:43.160
<v Speaker 15>to sort of power chat, GPT and all these other

0:49:43.200 --> 0:49:45.520
<v Speaker 15>apps through the graphics cards that they developed that are

0:49:45.560 --> 0:49:49.120
<v Speaker 15>sort of bizarrely and sort of serendipitously very good at

0:49:49.719 --> 0:49:52.640
<v Speaker 15>number crunching and data crunching for the type of brain

0:49:52.800 --> 0:49:56.000
<v Speaker 15>that AI needs to survive and endure. And that's something

0:49:56.000 --> 0:49:58.759
<v Speaker 15>that you wouldn't have expected maybe ten or fifteen years

0:49:58.760 --> 0:50:01.480
<v Speaker 15>ago when Intel was sort of the head of that

0:50:01.560 --> 0:50:04.400
<v Speaker 15>conversation and really known as the you know, the develop

0:50:04.440 --> 0:50:06.560
<v Speaker 15>of the big CPUs and owning all the data centers

0:50:06.560 --> 0:50:09.120
<v Speaker 15>out in the world. But that that has completely changed

0:50:09.120 --> 0:50:11.279
<v Speaker 15>with the advent of AI and what the technology they

0:50:11.320 --> 0:50:14.319
<v Speaker 15>need to to sort of uh sort of be developed on.

0:50:14.440 --> 0:50:15.839
<v Speaker 5>I want to I want to talk more about that,

0:50:16.120 --> 0:50:18.600
<v Speaker 5>but but first I want to talk about a public

0:50:18.640 --> 0:50:21.560
<v Speaker 5>service that you provided in the story, which was before

0:50:22.960 --> 0:50:25.040
<v Speaker 5>he wore the leather jacket, he had kind of a

0:50:25.040 --> 0:50:28.480
<v Speaker 5>different outfit and then he just owned the leather jacket

0:50:28.600 --> 0:50:30.759
<v Speaker 5>and it just became a thing.

0:50:30.880 --> 0:50:32.160
<v Speaker 4>And I just love that about it.

0:50:32.239 --> 0:50:34.840
<v Speaker 10>Totally changes his persona. I think of him as a

0:50:34.880 --> 0:50:38.520
<v Speaker 10>cool dude, a total Yeah. You know, Jobs had the turtlenick.

0:50:38.840 --> 0:50:40.920
<v Speaker 10>You know, you know what's one up on the turtlenick,

0:50:41.160 --> 0:50:41.960
<v Speaker 10>A leather jacket.

0:50:42.000 --> 0:50:42.680
<v Speaker 4>It's way better.

0:50:42.800 --> 0:50:47.040
<v Speaker 5>Yeah, Austin, what was that? What's been the transformation of

0:50:47.600 --> 0:50:48.520
<v Speaker 5>Jensen along the way?

0:50:48.719 --> 0:50:51.000
<v Speaker 15>Like, I think that's a really good question. And you know,

0:50:51.040 --> 0:50:53.440
<v Speaker 15>people make a lot of the leather jacket or sort

0:50:53.440 --> 0:50:55.919
<v Speaker 15>of any uniform that that Steve Jobs or even Mark

0:50:55.960 --> 0:50:59.879
<v Speaker 15>Zuckerberg wears today, and I think, what what what? That

0:51:00.080 --> 0:51:02.200
<v Speaker 15>leather jacket actually came up unprompted in many of my

0:51:02.280 --> 0:51:06.200
<v Speaker 15>conversations with a lot of sources and executives, insofar as

0:51:06.239 --> 0:51:11.000
<v Speaker 15>that it was sort of a very computational decision. Jensen

0:51:11.160 --> 0:51:14.359
<v Speaker 15>is an engineer by trade. He's brilliant, but the way

0:51:14.360 --> 0:51:17.320
<v Speaker 15>he thinks about problem solving is very much like an engineer,

0:51:17.400 --> 0:51:19.239
<v Speaker 15>and so I think part of it based on My

0:51:19.480 --> 0:51:22.480
<v Speaker 15>reporting at least was that he adopted that that uniform

0:51:22.640 --> 0:51:25.160
<v Speaker 15>not be you know, Steve Jobs had sort of an

0:51:25.200 --> 0:51:27.320
<v Speaker 15>aesthetic that he was trying to go after, whereas I

0:51:27.360 --> 0:51:29.640
<v Speaker 15>think Jensen sort of made the decision one day to

0:51:29.680 --> 0:51:32.360
<v Speaker 15>stop dressing like sort of you know, a geek squad

0:51:32.400 --> 0:51:34.440
<v Speaker 15>member at Best Buy and start dressing a little bit

0:51:34.520 --> 0:51:36.600
<v Speaker 15>hipper and have more stage presence. I don't think it

0:51:36.680 --> 0:51:38.640
<v Speaker 15>was sort of core to his fashion, but I do

0:51:38.680 --> 0:51:40.920
<v Speaker 15>think he realized that it was something he needed to adopt,

0:51:41.360 --> 0:51:43.600
<v Speaker 15>sort of like an avatar in the metaverse. That's how

0:51:43.640 --> 0:51:45.920
<v Speaker 15>I sort of compare it to. So it is an

0:51:45.920 --> 0:51:47.840
<v Speaker 15>interesting thing. But you saw him grow as the CEO

0:51:48.400 --> 0:51:51.200
<v Speaker 15>and become much more of a luminarian statesman, having been

0:51:51.239 --> 0:51:53.480
<v Speaker 15>around for decades. I think he's the longest running CEO

0:51:53.480 --> 0:51:55.759
<v Speaker 15>in the semiconductor's base. He's got to be that there

0:51:55.800 --> 0:51:58.160
<v Speaker 15>and the sort of tech CEOs who've been around and

0:51:58.200 --> 0:52:00.960
<v Speaker 15>at the helm of the company for this many decades.

0:52:01.000 --> 0:52:03.960
<v Speaker 15>But that's sort of a testament to how strong, wild

0:52:04.000 --> 0:52:06.320
<v Speaker 15>he is and sharp elbow he can be with employees.

0:52:06.360 --> 0:52:08.560
<v Speaker 5>I gotta I gotta work on it. There's I haven't

0:52:08.560 --> 0:52:10.680
<v Speaker 5>found my leather jacket. Yet, but you know it's out

0:52:10.680 --> 0:52:11.240
<v Speaker 5>there somewhere.

0:52:11.719 --> 0:52:14.520
<v Speaker 4>You have your uniform. Shoot, I got the sneaker.

0:52:14.239 --> 0:52:16.000
<v Speaker 5>I've got some, I've got some a couple of things

0:52:16.000 --> 0:52:17.960
<v Speaker 5>that you know are part of my look. But okay, Austin,

0:52:18.000 --> 0:52:21.000
<v Speaker 5>there's another part of the story that I felt like you,

0:52:21.000 --> 0:52:23.920
<v Speaker 5>you and Ian King your coolin and the story did

0:52:23.960 --> 0:52:26.080
<v Speaker 5>a great job of breaking something down that I did

0:52:26.160 --> 0:52:30.200
<v Speaker 5>not understand, which is, talk to us about the shopping

0:52:30.360 --> 0:52:31.480
<v Speaker 5>cart metaphor.

0:52:31.160 --> 0:52:32.680
<v Speaker 4>That you use that is the CPU.

0:52:32.960 --> 0:52:36.200
<v Speaker 5>That is like, it's foundational to what has made in

0:52:36.320 --> 0:52:39.120
<v Speaker 5>Vidia and VIDIA and until your shopping cart analogy, I

0:52:39.239 --> 0:52:40.640
<v Speaker 5>didn't fully appreciate it.

0:52:41.520 --> 0:52:43.480
<v Speaker 15>I appreciate that, Joelt. Just know that we've worked on

0:52:43.600 --> 0:52:46.080
<v Speaker 15>many different metaphors and analogies before we landed on this.

0:52:46.360 --> 0:52:48.160
<v Speaker 4>I like where you landed. I like your leather jacket.

0:52:48.200 --> 0:52:49.120
<v Speaker 4>Go ahead and walk us through it.

0:52:49.680 --> 0:52:52.200
<v Speaker 15>But basically, if you want to take away one thing

0:52:52.239 --> 0:52:54.480
<v Speaker 15>from the story, it should be the difference between a

0:52:54.640 --> 0:52:57.560
<v Speaker 15>graphics processing unit also known as the GPU, or what

0:52:57.719 --> 0:53:00.520
<v Speaker 15>Intel makes which is called the central processing unit or CPU,

0:53:01.520 --> 0:53:03.799
<v Speaker 15>and the way we describe it in the story as

0:53:03.880 --> 0:53:06.600
<v Speaker 15>the difference between sort of a shopping cart, which is

0:53:06.840 --> 0:53:09.719
<v Speaker 15>the equivalent of a CPU at a grocery store, you

0:53:09.760 --> 0:53:12.080
<v Speaker 15>can run around and pick up all your groceries. You

0:53:12.160 --> 0:53:14.560
<v Speaker 15>can hold a ton in that individual shopping cart, but

0:53:14.640 --> 0:53:16.120
<v Speaker 15>it sort of takes a while to work through the

0:53:16.160 --> 0:53:19.359
<v Speaker 15>grocery store each of the aisles. What in Vidia makes

0:53:19.440 --> 0:53:21.880
<v Speaker 15>is called a GPU, and that it does a lot

0:53:21.960 --> 0:53:25.359
<v Speaker 15>of small and repetitive tasks very well. So it's sort

0:53:25.360 --> 0:53:28.400
<v Speaker 15>of the equivalent of having a bunch of smaller shopping baskets,

0:53:28.680 --> 0:53:30.400
<v Speaker 15>which on their own could not hold as much as

0:53:30.440 --> 0:53:32.640
<v Speaker 15>a shopping cart. But I imagine if you had twenty

0:53:32.719 --> 0:53:34.920
<v Speaker 15>of them running around the store picking up your toilet paper,

0:53:35.360 --> 0:53:38.040
<v Speaker 15>or your orange juice, or your milk or other groceries,

0:53:38.200 --> 0:53:41.239
<v Speaker 15>you could get done a lot faster than what a

0:53:41.320 --> 0:53:44.280
<v Speaker 15>shopping cart or Intel CPUs would do. And so that's

0:53:44.320 --> 0:53:47.359
<v Speaker 15>really the core of what Nvidia has been doing well,

0:53:47.520 --> 0:53:50.080
<v Speaker 15>which is, you know, all these AI training models, they

0:53:50.120 --> 0:53:53.000
<v Speaker 15>need a bunch of hand baskets essentially of data to

0:53:53.120 --> 0:53:55.520
<v Speaker 15>sort of train chat GPT and make sure it can

0:53:55.600 --> 0:53:58.279
<v Speaker 15>speak fluently and then respond to your queries. And that's

0:53:58.320 --> 0:54:01.960
<v Speaker 15>what a GPU is really good at doing repetitive small

0:54:02.320 --> 0:54:04.799
<v Speaker 15>data tasks simultaneously, which a CPU.

0:54:04.600 --> 0:54:08.200
<v Speaker 3>Is not very adept ad So how does a company

0:54:09.080 --> 0:54:12.200
<v Speaker 3>go from being almost as you said, They've gone through

0:54:12.280 --> 0:54:14.480
<v Speaker 3>like a couple of iterations. They almost ran out of

0:54:14.560 --> 0:54:17.600
<v Speaker 3>cash at one point. What was the key turning point

0:54:17.840 --> 0:54:20.320
<v Speaker 3>in Nvidia that has set it up for us to

0:54:20.440 --> 0:54:23.040
<v Speaker 3>be kind of talking about it as much as we

0:54:23.160 --> 0:54:23.680
<v Speaker 3>do today.

0:54:25.040 --> 0:54:26.640
<v Speaker 15>To be honest with Carol, I actually think a lot

0:54:26.680 --> 0:54:29.120
<v Speaker 15>of people think about this as a hardware story developing,

0:54:29.560 --> 0:54:33.200
<v Speaker 15>you know, the microchips that are go inside these data

0:54:33.239 --> 0:54:36.720
<v Speaker 15>centers or servers. But it's actually more of a software story.

0:54:37.239 --> 0:54:39.040
<v Speaker 15>One of the big bets he made back in the

0:54:39.160 --> 0:54:42.640
<v Speaker 15>mid two thousands which develop a programming language that could

0:54:42.719 --> 0:54:45.680
<v Speaker 15>sort of build software for these GPUs much in the

0:54:45.719 --> 0:54:48.600
<v Speaker 15>same way that game developers make Call of Duty or

0:54:48.800 --> 0:54:52.120
<v Speaker 15>other you know, high graphics intensive games for these graphics cards.

0:54:52.440 --> 0:54:54.920
<v Speaker 15>And so he built a programming language along with his

0:54:55.040 --> 0:54:57.560
<v Speaker 15>team that really took a while. I mean back is

0:54:57.680 --> 0:55:00.399
<v Speaker 15>you know, let's say twenty fourteen, twenty fifteen, Wall Street

0:55:00.480 --> 0:55:02.600
<v Speaker 15>just had no idea why they were investing this. Even

0:55:02.680 --> 0:55:04.520
<v Speaker 15>employees told us they had no idea what any of

0:55:04.600 --> 0:55:06.600
<v Speaker 15>this had to do with gaming, and the reality was

0:55:06.640 --> 0:55:08.799
<v Speaker 15>it really didn't. It was a bet on something else,

0:55:08.880 --> 0:55:12.560
<v Speaker 15>which was going after sort of large scale supercomputers and

0:55:12.680 --> 0:55:15.920
<v Speaker 15>making sure this technology could be programmed to do stuff

0:55:16.160 --> 0:55:18.279
<v Speaker 15>like what has become chat GPT. So I think that

0:55:18.440 --> 0:55:19.719
<v Speaker 15>was a key turning point. You see a lot of

0:55:19.760 --> 0:55:25.520
<v Speaker 15>other companies like Google, Microsoft, Facebook developed their own competitor hardware,

0:55:25.640 --> 0:55:27.640
<v Speaker 15>but what they don't have is a programming language that

0:55:27.920 --> 0:55:30.359
<v Speaker 15>in Vidia has spent a decade plus developing and bringing

0:55:30.400 --> 0:55:31.400
<v Speaker 15>in developers to build on.

0:55:32.040 --> 0:55:36.399
<v Speaker 4>Okay, so marquee product now and where's it headed the market?

0:55:36.520 --> 0:55:38.960
<v Speaker 15>Product now is you're lucky if you can get your

0:55:39.080 --> 0:55:40.600
<v Speaker 15>hands on a Joel all those.

0:55:40.640 --> 0:55:43.400
<v Speaker 4>I can't you buy vibing one maybe a leather jacket.

0:55:44.200 --> 0:55:45.960
<v Speaker 15>Well, yeah, it would cost more than a leather jacket.

0:55:46.000 --> 0:55:48.640
<v Speaker 15>It goes for maybe ten or twenty thousand dollars, depending

0:55:48.640 --> 0:55:51.640
<v Speaker 15>on if you're getting it on retail or secondary markets.

0:55:51.800 --> 0:55:55.920
<v Speaker 15>It's called the Hopper one hundred. And it's just someone

0:55:56.040 --> 0:55:59.600
<v Speaker 15>compared the initial past couple of generations of GPUs is

0:55:59.640 --> 0:56:02.400
<v Speaker 15>going for let's say a BMW to a Lamborghine. But

0:56:02.480 --> 0:56:04.440
<v Speaker 15>then they couldn't really come up with a comparison for

0:56:04.560 --> 0:56:06.879
<v Speaker 15>this next stage of graphics carent I mean, maybe it's

0:56:06.880 --> 0:56:09.480
<v Speaker 15>a space Sprocket or something. But it's really fast. It

0:56:09.560 --> 0:56:11.920
<v Speaker 15>can These are leaps and bounds over what past generations

0:56:11.960 --> 0:56:14.319
<v Speaker 15>have performed. And I think what you're going to see

0:56:14.360 --> 0:56:17.680
<v Speaker 15>is this sort of just insanely exponential growth and AI

0:56:18.040 --> 0:56:20.760
<v Speaker 15>performance out there based on this training that these GPUs

0:56:20.800 --> 0:56:23.719
<v Speaker 15>can process at once. And so that's why Elon Musk,

0:56:23.760 --> 0:56:26.840
<v Speaker 15>that's why Sam Oltman, everyone's after these GPUs because they

0:56:26.920 --> 0:56:29.279
<v Speaker 15>want them in their data centers, training their models, these

0:56:29.360 --> 0:56:31.640
<v Speaker 15>large language models that power things like CHATGPT.

0:56:32.480 --> 0:56:37.320
<v Speaker 10>So also twenty four billion, fifty four billion components on

0:56:37.440 --> 0:56:39.000
<v Speaker 10>this GPU, and it's time.

0:56:39.080 --> 0:56:43.239
<v Speaker 15>You wouldn't see. You'd have to have basically a very

0:56:43.320 --> 0:56:45.759
<v Speaker 15>refined microscope to see down there. If you actually touch

0:56:45.760 --> 0:56:48.560
<v Speaker 15>it feels pretty smooth. But beneath the surface, yeah, it's

0:56:48.800 --> 0:56:50.759
<v Speaker 15>We described it as sort of like looking like the

0:56:51.400 --> 0:56:55.200
<v Speaker 15>Tokyo subway map, except with about fifty four billion more stations.

0:56:55.280 --> 0:56:57.640
<v Speaker 3>All right, So Austin, you've really kind of spelled out

0:56:57.680 --> 0:56:59.920
<v Speaker 3>why you know they have I guess first mover advantage.

0:57:00.000 --> 0:57:02.359
<v Speaker 3>It feels like for this AI ephor you I mean,

0:57:02.400 --> 0:57:03.960
<v Speaker 3>this is a stock We talked about it earlier with

0:57:04.040 --> 0:57:06.640
<v Speaker 3>a guest. You've got a current pe of over two hundred,

0:57:07.239 --> 0:57:10.799
<v Speaker 3>a ford looking pe of almost sixty. Many people think

0:57:10.800 --> 0:57:14.160
<v Speaker 3>it's getting heady. Can somebody else do what Nvidia is

0:57:14.239 --> 0:57:17.120
<v Speaker 3>doing when it comes to AI, Not yet.

0:57:17.800 --> 0:57:19.720
<v Speaker 15>I think it's it will take some years. You know,

0:57:19.800 --> 0:57:22.960
<v Speaker 15>Google chips right now, some have said, are just as

0:57:23.080 --> 0:57:26.000
<v Speaker 15>fast as the ones that are out from Nvidia on

0:57:26.040 --> 0:57:29.000
<v Speaker 15>the market. But again, this next generation h one hundred

0:57:29.120 --> 0:57:31.520
<v Speaker 15>product is going to be catch up and match the

0:57:31.560 --> 0:57:33.880
<v Speaker 15>performance of Google chips. And again they have that software

0:57:33.920 --> 0:57:36.760
<v Speaker 15>component which Google does not have. You know, I think

0:57:36.800 --> 0:57:38.960
<v Speaker 15>there's two ways this could go. You know, in Vida

0:57:39.080 --> 0:57:42.400
<v Speaker 15>just continues to steal the market like Intel did with servers,

0:57:43.080 --> 0:57:45.160
<v Speaker 15>you know, decades ago, and maybe they you know, right

0:57:45.200 --> 0:57:47.680
<v Speaker 15>now they have this eighty percent market share and these accelerators.

0:57:48.720 --> 0:57:51.480
<v Speaker 15>Other analysts feel that maybe they stumble, maybe a competitor

0:57:51.560 --> 0:57:53.480
<v Speaker 15>does come out with some product that that steals the

0:57:53.560 --> 0:57:55.640
<v Speaker 15>market or developed some software. But I think that's that's

0:57:55.640 --> 0:57:58.240
<v Speaker 15>still years ahead, and right now in videos in a

0:57:58.360 --> 0:58:00.520
<v Speaker 15>pretty good place. I mean, everyone we talk this is

0:58:01.240 --> 0:58:04.120
<v Speaker 15>said that this is sort of invidious market to lose.

0:58:04.360 --> 0:58:07.120
<v Speaker 10>Austin, I'm curious because you've mentioned a couple of times

0:58:07.680 --> 0:58:11.680
<v Speaker 10>you've said he has sharp elbows, and it's also been

0:58:11.720 --> 0:58:15.160
<v Speaker 10>pointed out in your story that if he loses, he

0:58:15.400 --> 0:58:19.280
<v Speaker 10>can just you know, fire everybody or humiliate senior staff,

0:58:19.360 --> 0:58:20.160
<v Speaker 10>like is.

0:58:20.200 --> 0:58:20.800
<v Speaker 4>He a jerk?

0:58:21.920 --> 0:58:25.040
<v Speaker 15>I should clarify that he actually is known famously. He

0:58:25.120 --> 0:58:27.840
<v Speaker 15>even said this that he's never fired anyone. But if

0:58:27.880 --> 0:58:30.400
<v Speaker 15>you talk to sources about him, that's because he will

0:58:30.440 --> 0:58:32.720
<v Speaker 15>make it a place that you don't necessarily want to

0:58:32.760 --> 0:58:36.600
<v Speaker 15>work if he's unhappy with your performance. So I wouldn't say.

0:58:36.480 --> 0:58:37.680
<v Speaker 3>It sounds like a boss to me.

0:58:38.080 --> 0:58:40.600
<v Speaker 15>Sounds like a boss. Yeah, Joel's very much the same way,

0:58:43.040 --> 0:58:46.560
<v Speaker 15>but bosses, But yeah, no, he is I would say

0:58:47.080 --> 0:58:49.280
<v Speaker 15>very intense. But I will say he has this core

0:58:49.360 --> 0:58:51.880
<v Speaker 15>following of loyal executives that have been there decades, and

0:58:52.080 --> 0:58:53.600
<v Speaker 15>there's got to be a reason they're working for him.

0:58:53.600 --> 0:58:55.720
<v Speaker 15>If if he was sort of just a jerk or

0:58:55.920 --> 0:58:58.000
<v Speaker 15>could be very mean and sharp elbow, they wouldn't continue

0:58:58.040 --> 0:58:59.160
<v Speaker 15>to work with him. But they get to work on

0:58:59.200 --> 0:59:01.520
<v Speaker 15>fascinating project. They really feel like they're on the tip

0:59:01.520 --> 0:59:03.120
<v Speaker 15>of the sphere of technology, and I think there's a

0:59:03.160 --> 0:59:05.520
<v Speaker 15>reason why he inspires that loyalty in his troops and

0:59:05.640 --> 0:59:07.400
<v Speaker 15>especially as employees. They really look up to him, and

0:59:07.680 --> 0:59:10.200
<v Speaker 15>he has this sort of loyal, sort of militant life

0:59:10.240 --> 0:59:11.280
<v Speaker 15>following inside the video.

0:59:11.400 --> 0:59:13.200
<v Speaker 5>My other favorite thing in the story, and there are many,

0:59:13.240 --> 0:59:15.640
<v Speaker 5>it's like the fact that he like has the you know,

0:59:15.720 --> 0:59:18.240
<v Speaker 5>he tries GPT and then what's the first thing he does,

0:59:18.360 --> 0:59:19.560
<v Speaker 5>writes a poem about his company.

0:59:19.600 --> 0:59:22.439
<v Speaker 4>It's like opening. It's some great Then he never uses

0:59:22.440 --> 0:59:25.000
<v Speaker 4>it again, but he pays. But he pays the monthly

0:59:25.240 --> 0:59:27.040
<v Speaker 4>because they need the money. They need the money all right.

0:59:26.960 --> 0:59:28.600
<v Speaker 3>Thanks to Austin Carr and Jill Weber.

0:59:28.680 --> 0:59:29.040
<v Speaker 8>Check it out.

0:59:29.040 --> 0:59:31.360
<v Speaker 3>It's in the current issue of Bloomberg business Week magazine.

0:59:32.120 --> 0:59:35.640
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. That's us

0:59:35.720 --> 0:59:39.360
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

0:59:39.600 --> 0:59:41.080
<v Speaker 1>the Bloomberg Business app.

0:59:41.000 --> 0:59:41.600
<v Speaker 11>And you too.

0:59:41.880 --> 0:59:44.919
<v Speaker 1>You can also listen live to our flagship New York station.

0:59:45.480 --> 0:59:48.720
<v Speaker 1>Just say Alexa, play Bloomberg You love him thirty.

0:59:50.440 --> 0:59:52.200
<v Speaker 4>You say you on a rebel?

0:59:55.320 --> 0:59:55.640
<v Speaker 3>You know.

0:59:58.160 --> 0:59:59.960
<v Speaker 8>We all want to change the world.

1:00:00.320 --> 1:00:01.040
<v Speaker 3>Yeah, a little bit of a.

1:00:01.200 --> 1:00:01.800
<v Speaker 4>Can we play this?

1:00:02.440 --> 1:00:02.880
<v Speaker 2>What do you mean?

1:00:03.000 --> 1:00:05.120
<v Speaker 4>I feel like you don't. We have to pay somebody

1:00:05.160 --> 1:00:06.480
<v Speaker 4>if we play this. I don't know why.

1:00:06.520 --> 1:00:09.800
<v Speaker 10>It's specifically the Beatles, but I feel like it's expensive

1:00:09.840 --> 1:00:10.480
<v Speaker 10>to play the Beatles.

1:00:10.480 --> 1:00:12.240
<v Speaker 3>I think you're allowed to play a certain amount.

1:00:12.160 --> 1:00:13.240
<v Speaker 4>Like less than thirty seconds.

1:00:13.240 --> 1:00:14.720
<v Speaker 3>So you know what's really important. We're going to talk

1:00:14.720 --> 1:00:15.920
<v Speaker 3>about a revolution that's going on.

1:00:16.280 --> 1:00:18.760
<v Speaker 4>Yeah, I've been on Reddit lately.

1:00:18.840 --> 1:00:19.560
<v Speaker 11>I know what's going on.

1:00:20.280 --> 1:00:22.880
<v Speaker 3>So let's get to it, because this story it has

1:00:22.960 --> 1:00:25.680
<v Speaker 3>to do with really kind of a changing world. Whether

1:00:25.760 --> 1:00:29.840
<v Speaker 3>it's the ad market online, whether it's AI. There's a

1:00:29.920 --> 1:00:32.160
<v Speaker 3>lot of stuff that we're trying to figure out in

1:00:32.240 --> 1:00:35.440
<v Speaker 3>a very new environment for the social media world. And

1:00:35.920 --> 1:00:38.800
<v Speaker 3>our Joshua Brustin gets into it in the new upcoming

1:00:38.880 --> 1:00:41.240
<v Speaker 3>issue of Bloomberg BusinessWeek magazine. So let's get to it.

1:00:41.840 --> 1:00:44.520
<v Speaker 3>Joshua of course here with us along with the editor

1:00:44.560 --> 1:00:47.160
<v Speaker 3>of Bloomberg business Week Magazine, Joil Weeber. Joshua, by the way,

1:00:47.160 --> 1:00:50.800
<v Speaker 3>it is Bloomberg business Week Technology editor. So the story

1:00:50.840 --> 1:00:52.680
<v Speaker 3>is very telling, right as we talk so much about

1:00:52.680 --> 1:00:56.000
<v Speaker 3>AI Joel and trying to understand the importance of data

1:00:56.120 --> 1:00:59.400
<v Speaker 3>going forward. It's important to AI generative AI.

1:01:00.120 --> 1:01:02.920
<v Speaker 5>Yeah, and then there's Reddit, which is just I think,

1:01:03.160 --> 1:01:05.000
<v Speaker 5>you know, for the past couple of years become the

1:01:05.080 --> 1:01:08.560
<v Speaker 5>great hope of the Internet it is, you know, as

1:01:08.640 --> 1:01:09.240
<v Speaker 5>we've seen.

1:01:09.200 --> 1:01:11.720
<v Speaker 4>Weird, so weird, Remember it was no one's hope.

1:01:12.280 --> 1:01:14.960
<v Speaker 5>You know what The genius of Reddit though, was that

1:01:15.160 --> 1:01:18.280
<v Speaker 5>it reminded us of how great the Internet was, like

1:01:18.520 --> 1:01:21.240
<v Speaker 5>in two thousand and two, before there were social networks

1:01:21.240 --> 1:01:23.680
<v Speaker 5>and stuff, and it just was it's so basic, you know,

1:01:23.760 --> 1:01:25.240
<v Speaker 5>it just puts it all out there.

1:01:25.440 --> 1:01:25.640
<v Speaker 2>Yeah.

1:01:26.120 --> 1:01:30.400
<v Speaker 10>I learned everything I know about crypto originally on Reddit,

1:01:30.480 --> 1:01:33.640
<v Speaker 10>like before anyone before it was one thousand dollars bitcoin.

1:01:34.360 --> 1:01:36.880
<v Speaker 10>I went on Reddit, I joined the subreddit, I got

1:01:36.960 --> 1:01:39.880
<v Speaker 10>to know people. I bought my first bitcoin through the subreddit,

1:01:39.960 --> 1:01:41.200
<v Speaker 10>you know, for six hundred bucks.

1:01:41.320 --> 1:01:44.000
<v Speaker 4>Yeah, what's your handle? Like leather jacket? I can't tell you.

1:01:44.160 --> 1:01:48.919
<v Speaker 4>No inside joke there from yesterday. What struck me about

1:01:48.920 --> 1:01:49.160
<v Speaker 4>this though?

1:01:49.400 --> 1:01:53.240
<v Speaker 5>Podcast Also, if you were going to swallow the internet,

1:01:53.520 --> 1:01:55.600
<v Speaker 5>Reddit would be a pretty great place to start. And

1:01:55.680 --> 1:01:59.560
<v Speaker 5>that's sort of what's kicked off this current controversy and

1:01:59.680 --> 1:02:03.120
<v Speaker 5>remind Reddit still not a publicly traded company, which has

1:02:03.280 --> 1:02:04.280
<v Speaker 5>also been part of this.

1:02:04.400 --> 1:02:06.080
<v Speaker 4>So Josh, what happened?

1:02:07.360 --> 1:02:09.920
<v Speaker 8>Well, what happened started in April when Reddit said it

1:02:10.000 --> 1:02:13.200
<v Speaker 8>was going to start charging for API usage. This is

1:02:13.280 --> 1:02:17.880
<v Speaker 8>basically how you would systemically ingest Reddit data for your

1:02:17.960 --> 1:02:22.320
<v Speaker 8>own for your own programs. And as you mentioned, one

1:02:22.480 --> 1:02:26.000
<v Speaker 8>big use of the Reddit API is to take data

1:02:26.080 --> 1:02:28.920
<v Speaker 8>and use it to train AI models. It's part of

1:02:29.040 --> 1:02:31.760
<v Speaker 8>the model that is used to train chat GPT. I

1:02:31.840 --> 1:02:35.000
<v Speaker 8>think Google's model uses it as well. And it's just

1:02:35.160 --> 1:02:38.600
<v Speaker 8>this big data set of people talking. And if you

1:02:38.600 --> 1:02:40.480
<v Speaker 8>want to teach a computer to talk like a person,

1:02:40.960 --> 1:02:42.280
<v Speaker 8>Reddit it's one place to start.

1:02:43.240 --> 1:02:46.640
<v Speaker 4>So Reddit wants to make sure you're smart. I start

1:02:46.720 --> 1:02:47.680
<v Speaker 4>training with Reddit.

1:02:48.240 --> 1:02:50.480
<v Speaker 10>I mean, actually, my wife works for a company I

1:02:50.560 --> 1:02:55.600
<v Speaker 10>won't name it that scrapes places like Twitter and Reddit

1:02:55.720 --> 1:02:59.560
<v Speaker 10>for data. They do that for corporations, so that, for example,

1:02:59.800 --> 1:03:00.800
<v Speaker 10>this is not a client.

1:03:00.840 --> 1:03:01.720
<v Speaker 4>I'm just using it.

1:03:01.840 --> 1:03:05.280
<v Speaker 10>If PEPSI wants to know, you know, how people on

1:03:05.360 --> 1:03:08.760
<v Speaker 10>Twitter feel about them, this company goes and uses the

1:03:08.800 --> 1:03:11.440
<v Speaker 10>Twitter API and scrapes all the mentions and figures out

1:03:11.480 --> 1:03:13.360
<v Speaker 10>you know, which are positive, which are negative, and which

1:03:13.360 --> 1:03:14.000
<v Speaker 10>are neutral.

1:03:14.080 --> 1:03:17.360
<v Speaker 5>So yeah, yeah, that's actually learning a lot about Matt.

1:03:17.520 --> 1:03:21.040
<v Speaker 5>You know, I'm glad that the revolution was hinted at

1:03:21.040 --> 1:03:22.240
<v Speaker 5>the beginning because yeah.

1:03:22.120 --> 1:03:24.480
<v Speaker 8>You know, and what Reddit wants to do is make

1:03:24.560 --> 1:03:27.240
<v Speaker 8>your wife's company pay for that. Yes, because they're exactly

1:03:27.280 --> 1:03:32.320
<v Speaker 8>some commercial use from this. And at first the announcement

1:03:32.360 --> 1:03:34.640
<v Speaker 8>was made in April, you know, people said, huh, that's

1:03:34.640 --> 1:03:37.040
<v Speaker 8>an interesting look at like what might happen with AI

1:03:37.120 --> 1:03:40.000
<v Speaker 8>in the future. And then it became clear that this

1:03:40.200 --> 1:03:42.760
<v Speaker 8>was also going to impact a lot of developers that

1:03:42.920 --> 1:03:46.240
<v Speaker 8>make apps on Reddit that Reddit users really like today

1:03:46.920 --> 1:03:52.560
<v Speaker 8>and Reddit users really didn't like that, And after some negotiations,

1:03:52.560 --> 1:03:54.880
<v Speaker 8>if you can call it that, with the company, the

1:03:54.960 --> 1:03:58.560
<v Speaker 8>company refused to change its policies and the entire site

1:03:58.720 --> 1:04:02.160
<v Speaker 8>or big parts of the site went dark last week.

1:04:02.560 --> 1:04:05.720
<v Speaker 10>So I mean, for example, Carol uses Twitter, not through

1:04:06.240 --> 1:04:09.640
<v Speaker 10>Twitter dot com, but she has some third party tweet

1:04:09.720 --> 1:04:12.280
<v Speaker 10>deck that she uses, and tweet Deck I guess would

1:04:12.280 --> 1:04:14.240
<v Speaker 10>hook up to Twitter with an API as well. And

1:04:14.320 --> 1:04:19.400
<v Speaker 10>you're talking about people using Reddit with such third party apps, right, yeah, exactly.

1:04:19.560 --> 1:04:23.080
<v Speaker 8>There are some very popular Reddit readers that ingest Threddit

1:04:23.120 --> 1:04:25.120
<v Speaker 8>and give you a better or give you a different

1:04:25.840 --> 1:04:29.840
<v Speaker 8>user interface. Those apps run ads that they don't share

1:04:30.400 --> 1:04:32.760
<v Speaker 8>the revenue with Reddit, so Reddit wants some of that revenue.

1:04:33.320 --> 1:04:37.280
<v Speaker 8>But also the API is used to build tools that

1:04:37.760 --> 1:04:42.200
<v Speaker 8>things like the volunteer moderators that make Reddit run use

1:04:42.400 --> 1:04:44.160
<v Speaker 8>just in their day to day use. And that was

1:04:44.240 --> 1:04:47.000
<v Speaker 8>really kind of what moderators said, if you take this

1:04:47.080 --> 1:04:49.760
<v Speaker 8>away from us, we can't do our jobs and we're

1:04:49.760 --> 1:04:50.680
<v Speaker 8>giving you free labor.

1:04:50.800 --> 1:04:54.120
<v Speaker 5>So which is key part there, Jush rights, but Reddit

1:04:54.200 --> 1:04:56.080
<v Speaker 5>power users or something else using the site in a

1:04:56.120 --> 1:04:59.400
<v Speaker 5>way that seems more like employment than leisure, except for

1:04:59.440 --> 1:05:00.280
<v Speaker 5>the getting paid part.

1:05:00.440 --> 1:05:03.200
<v Speaker 4>Like this is one of the amazing things about the Internet.

1:05:03.480 --> 1:05:05.880
<v Speaker 4>You find a community of people who care and they

1:05:05.920 --> 1:05:07.479
<v Speaker 4>will do all that work for free.

1:05:07.760 --> 1:05:10.920
<v Speaker 5>Yeah, right, which also is I'm sure part of but

1:05:11.440 --> 1:05:14.040
<v Speaker 5>you know, the AI swallowing it all likes.

1:05:14.480 --> 1:05:16.400
<v Speaker 8>Yeah, at the heart of it, this is a conflict

1:05:16.440 --> 1:05:19.040
<v Speaker 8>between two groups of people who said, I don't want

1:05:19.080 --> 1:05:21.120
<v Speaker 8>to do something without getting paid for it or getting

1:05:21.280 --> 1:05:22.840
<v Speaker 8>you know, I don't want to do something for free

1:05:22.880 --> 1:05:24.120
<v Speaker 8>if you're going to exploit me.

1:05:24.480 --> 1:05:25.920
<v Speaker 4>The moderator is being exploited.

1:05:25.640 --> 1:05:28.080
<v Speaker 3>By everybody else is going to get paid, and I'm being.

1:05:28.000 --> 1:05:31.200
<v Speaker 8>Exploited by the AI companies, the or the third party

1:05:31.200 --> 1:05:32.200
<v Speaker 8>app companies or whoever.

1:05:32.400 --> 1:05:34.680
<v Speaker 3>I love. There's a quote in a professor at the

1:05:34.720 --> 1:05:37.400
<v Speaker 3>Institute for Advanced Study, and I guess was in the

1:05:37.440 --> 1:05:39.600
<v Speaker 3>Biden Administration's Office for Technology and Science.

1:05:39.640 --> 1:05:39.960
<v Speaker 5>Policy.

1:05:40.040 --> 1:05:42.240
<v Speaker 3>People are anticipating that there's a change in the economy

1:05:42.240 --> 1:05:45.000
<v Speaker 3>of the internet company. Right, we're finding the ad model

1:05:45.800 --> 1:05:48.040
<v Speaker 3>can just go so far, right, and now we're increasingly

1:05:48.160 --> 1:05:50.640
<v Speaker 3>we knew data was worth something, Right, We've all been

1:05:50.680 --> 1:05:54.040
<v Speaker 3>trying to figure out who ultimately benefits from all that

1:05:54.160 --> 1:05:56.400
<v Speaker 3>data collection, right, and now we're kind of getting to

1:05:56.480 --> 1:05:59.280
<v Speaker 3>a whole new level of it because it's needed to

1:05:59.360 --> 1:06:03.040
<v Speaker 3>make generate of AI so much smarter, right, And that's

1:06:03.080 --> 1:06:05.080
<v Speaker 3>kind of what it gets into on a bigger, broader level.

1:06:05.520 --> 1:06:05.720
<v Speaker 2>Yeah.

1:06:05.800 --> 1:06:08.000
<v Speaker 8>Absolutely, I think a lot of people are very nervous

1:06:08.000 --> 1:06:11.320
<v Speaker 8>about the changes coming in the Internet, and there's a

1:06:11.440 --> 1:06:15.720
<v Speaker 8>question about who creates value online and who is going

1:06:15.840 --> 1:06:17.960
<v Speaker 8>to be compensated for that value and how.

1:06:18.760 --> 1:06:21.920
<v Speaker 4>Okay, so what does this mean for that IPO that

1:06:22.040 --> 1:06:22.920
<v Speaker 4>never quite happened.

1:06:24.040 --> 1:06:26.480
<v Speaker 8>Well, I think it's fair to say, although Reddit will

1:06:26.560 --> 1:06:30.000
<v Speaker 8>not say that part of the initial reason to do

1:06:30.440 --> 1:06:33.600
<v Speaker 8>the changes were to shore up its business as it

1:06:33.840 --> 1:06:38.520
<v Speaker 8>looks ahead to this IPO, and I think how it

1:06:38.640 --> 1:06:41.080
<v Speaker 8>impacts it really depends on the outcome of this. There's

1:06:41.560 --> 1:06:44.840
<v Speaker 8>real concern out there that if the moderators continue to

1:06:44.960 --> 1:06:47.440
<v Speaker 8>be in revolt, that Reddit won't work as well, and

1:06:47.680 --> 1:06:50.080
<v Speaker 8>might not be as good of a business going forward.

1:06:50.120 --> 1:06:52.520
<v Speaker 8>It might kind of fail to function as a service.

1:06:52.920 --> 1:06:55.120
<v Speaker 5>What it reminds me of a little bit is the

1:06:55.240 --> 1:06:57.720
<v Speaker 5>Dungeons and Dragon cover story that we did not so

1:06:57.880 --> 1:07:03.800
<v Speaker 5>long ago, because Bro also tweaked the licensing agreement before

1:07:04.560 --> 1:07:08.080
<v Speaker 5>the big blockbuster came out right, and the nerds did

1:07:08.160 --> 1:07:11.800
<v Speaker 5>not like that. They there was a revolt online. Then

1:07:11.880 --> 1:07:14.520
<v Speaker 5>Hasbru ultimately had to back down, but there was so

1:07:14.720 --> 1:07:18.440
<v Speaker 5>much money at stake, And here we are again. I

1:07:18.440 --> 1:07:20.919
<v Speaker 5>won't call Reddit users nerds, but they are nerds. Okay,

1:07:20.960 --> 1:07:24.520
<v Speaker 5>well you said it, but it basically creates this moment

1:07:24.720 --> 1:07:28.840
<v Speaker 5>where you've got, you know, a platform that everyone has

1:07:28.880 --> 1:07:30.880
<v Speaker 5>turned to. I mean, this is the hope of what

1:07:31.320 --> 1:07:33.800
<v Speaker 5>it was, back to the future, bet that the future

1:07:33.800 --> 1:07:35.960
<v Speaker 5>of the Internet actually maybe look more like Reddit, and

1:07:36.040 --> 1:07:38.520
<v Speaker 5>all of a sudden, the underlying value proposition is the

1:07:38.600 --> 1:07:39.760
<v Speaker 5>thing that is at risk.

1:07:40.840 --> 1:07:45.920
<v Speaker 4>It is pretty crazy, Mike Drop, It's really kind of right.

1:07:46.040 --> 1:07:49.440
<v Speaker 3>It's kind of heavy thinking of like how this moves forward.

1:07:49.640 --> 1:07:50.600
<v Speaker 4>Well, here's the thing.

1:07:51.040 --> 1:07:54.840
<v Speaker 10>AI is the the you know, the dawn of generative

1:07:55.280 --> 1:07:58.960
<v Speaker 10>AI has made us all realize, oh, Reddit is worth something.

1:07:59.240 --> 1:08:02.960
<v Speaker 4>I mean, there's real value there, highly entertaining, right. I mean,

1:08:03.040 --> 1:08:05.320
<v Speaker 4>I've loved Reddit for over a decade.

1:08:05.960 --> 1:08:06.600
<v Speaker 3>You still use it.

1:08:06.760 --> 1:08:09.440
<v Speaker 10>I use it all the time, like literally every day

1:08:09.600 --> 1:08:13.480
<v Speaker 10>on multiple devices. But I always thought it was our user.

1:08:13.800 --> 1:08:17.360
<v Speaker 10>I always thought it was fairly worthless. Although I guess

1:08:17.439 --> 1:08:19.560
<v Speaker 10>now that I think about it, it's need answers for me,

1:08:19.720 --> 1:08:22.160
<v Speaker 10>so many questions, your time, your your eyeballs.

1:08:22.240 --> 1:08:23.800
<v Speaker 4>Think about how much that's worth, right?

1:08:24.120 --> 1:08:28.800
<v Speaker 3>Yea? What is Reddit thinking? Joshua inside? Internally as they

1:08:28.840 --> 1:08:30.360
<v Speaker 3>work this way this through.

1:08:30.720 --> 1:08:33.120
<v Speaker 8>Well, Reddit has said there have been some memos that

1:08:33.200 --> 1:08:36.519
<v Speaker 8>have come out from inside the company where the executives say,

1:08:36.560 --> 1:08:39.080
<v Speaker 8>you know, this is these flaps happen every once in

1:08:39.080 --> 1:08:41.960
<v Speaker 8>a while. Reddit is a very restive community, and the

1:08:42.040 --> 1:08:44.639
<v Speaker 8>idea is like, let's keep let's keep our heads down,

1:08:45.360 --> 1:08:47.960
<v Speaker 8>you know, we'll take our lumps and a month from

1:08:48.040 --> 1:08:50.320
<v Speaker 8>now everything will be back to normal and we can,

1:08:50.880 --> 1:08:53.080
<v Speaker 8>you know, move forward with this plan. The economics will

1:08:53.080 --> 1:08:56.320
<v Speaker 8>be better and problem solved or at least, you know,

1:08:56.960 --> 1:08:57.879
<v Speaker 8>problem lessened.

1:08:58.560 --> 1:09:01.719
<v Speaker 4>Wait, who are the overlords that run Reddit?

1:09:02.280 --> 1:09:04.640
<v Speaker 10>Like Alexis Ohanian is gone right now, He's like a

1:09:04.680 --> 1:09:05.760
<v Speaker 10>women's soccer guy, So.

1:09:06.200 --> 1:09:10.719
<v Speaker 4>Who who are the bosses? Who's the corporate face of Reddit?

1:09:11.120 --> 1:09:14.439
<v Speaker 8>So the CEO of Reddit is is Steve Huffman, the

1:09:14.520 --> 1:09:17.840
<v Speaker 8>other co founder. And Reddit, as you might remember, was

1:09:17.920 --> 1:09:21.200
<v Speaker 8>bought by Conde Nass soon after it was founded, and

1:09:21.360 --> 1:09:24.160
<v Speaker 8>it is now an independent subsidiary or it is it

1:09:24.320 --> 1:09:27.959
<v Speaker 8>is its majority owner remains Advanced Publications, which is Conde's

1:09:28.000 --> 1:09:28.599
<v Speaker 8>parent company.

1:09:29.280 --> 1:09:33.240
<v Speaker 5>Cool, So, how do we think they might attempt to

1:09:33.720 --> 1:09:36.000
<v Speaker 5>navigate this, Josh, Like, what are their options really?

1:09:36.560 --> 1:09:39.200
<v Speaker 4>And they You're right, they have gone through this before.

1:09:39.280 --> 1:09:42.840
<v Speaker 5>I'm thinking of remember the anti work kerfuffle where like

1:09:42.920 --> 1:09:48.320
<v Speaker 5>the community sort of ousted the moderator that it had, right, Like,

1:09:48.640 --> 1:09:51.479
<v Speaker 5>there's been tensions like this that have simmered before. But

1:09:52.200 --> 1:09:53.800
<v Speaker 5>how do you think they go about navigating this?

1:09:54.040 --> 1:09:56.559
<v Speaker 8>Yeah, this thing, this kind of thing happens from time

1:09:56.600 --> 1:09:58.680
<v Speaker 8>to time. And I think that's what Reddit is betting on.

1:09:59.000 --> 1:10:01.960
<v Speaker 8>And it says it's going to build a lot of

1:10:02.600 --> 1:10:05.400
<v Speaker 8>moderator tools or has already released some that will replace

1:10:05.520 --> 1:10:08.280
<v Speaker 8>some of these, uh, some of these third party tools

1:10:08.320 --> 1:10:10.120
<v Speaker 8>that might not be able to function if they have

1:10:10.200 --> 1:10:12.800
<v Speaker 8>to pay for the APIs. And I think that they'll

1:10:12.880 --> 1:10:15.880
<v Speaker 8>hope that moderators will find out that, oh, these things work. Okay,

1:10:16.760 --> 1:10:19.880
<v Speaker 8>maybe this isn't such a big deal after all. You know,

1:10:20.040 --> 1:10:22.559
<v Speaker 8>I love Reddit, and it turns out I can continue

1:10:22.600 --> 1:10:25.320
<v Speaker 8>to do my job, and you know, and they got

1:10:25.439 --> 1:10:27.640
<v Speaker 8>mad and then they get better and things calm down

1:10:27.640 --> 1:10:29.559
<v Speaker 8>for a little while until the next time they get mad.

1:10:29.720 --> 1:10:33.200
<v Speaker 5>And what about for for the AI companies that are

1:10:33.400 --> 1:10:35.240
<v Speaker 5>out their attempting to swallow the Internet?

1:10:35.400 --> 1:10:37.400
<v Speaker 4>Like, will they pay up?

1:10:37.600 --> 1:10:40.799
<v Speaker 8>What do you think that dialogue looks like it certainly

1:10:40.960 --> 1:10:44.800
<v Speaker 8>seems like the AI companies are preparing to pay in

1:10:44.960 --> 1:10:49.559
<v Speaker 8>some way. You know, Reddit is not the number one

1:10:49.760 --> 1:10:53.400
<v Speaker 8>source of material, but there may be some licensing deals

1:10:53.439 --> 1:10:55.759
<v Speaker 8>worked out. And I don't think I think the economics cere.

1:10:56.760 --> 1:10:57.439
<v Speaker 4>That provides it.

1:10:57.520 --> 1:11:00.360
<v Speaker 10>That's not You've just provided me with another ques actually me,

1:11:00.439 --> 1:11:02.200
<v Speaker 10>what is the number one source of material?

1:11:02.360 --> 1:11:04.800
<v Speaker 4>If not read it? So basically wonder like where do

1:11:04.840 --> 1:11:05.639
<v Speaker 4>these lives come from?

1:11:07.160 --> 1:11:08.280
<v Speaker 3>Where should I be going?

1:11:08.760 --> 1:11:12.200
<v Speaker 10>Is Wikipedia a better source? I mean, what are these

1:11:12.479 --> 1:11:14.280
<v Speaker 10>AI models doubling up?

1:11:14.439 --> 1:11:15.960
<v Speaker 11>All of it? All of it?

1:11:16.120 --> 1:11:16.759
<v Speaker 4>No hierarchy.

1:11:17.479 --> 1:11:19.880
<v Speaker 8>Yeah, it's it's an immense it's a large range. I

1:11:19.920 --> 1:11:21.200
<v Speaker 8>actually don't know off the top of my head what

1:11:21.280 --> 1:11:24.760
<v Speaker 8>the number one is number one sources, but there's you know,

1:11:24.880 --> 1:11:27.840
<v Speaker 8>there's like thousands of websites that it's scraping and you know,

1:11:27.960 --> 1:11:29.439
<v Speaker 8>putting together sure millions.

1:11:29.439 --> 1:11:31.559
<v Speaker 3>Even what does this mean for Elon and Twitter? Potentially

1:11:32.960 --> 1:11:34.479
<v Speaker 3>he's trying to figure it out too well.

1:11:34.840 --> 1:11:38.200
<v Speaker 8>One thing that this shows is that, you know, Reddit

1:11:38.280 --> 1:11:41.320
<v Speaker 8>users have some power over the site, whereas Twitter users don't.

1:11:41.360 --> 1:11:41.599
<v Speaker 2>Really.

1:11:41.800 --> 1:11:43.760
<v Speaker 8>I mean, people are mad at Elon, and Elon's like, well,

1:11:43.880 --> 1:11:46.479
<v Speaker 8>go go ahead, you can leave if you want, but

1:11:46.680 --> 1:11:48.040
<v Speaker 8>they can't shut Twitter down.

1:11:48.240 --> 1:11:50.960
<v Speaker 4>And they don't leave. By the way, if you look

1:11:50.960 --> 1:11:53.320
<v Speaker 4>at the data actually use to increase.

1:11:53.360 --> 1:11:54.960
<v Speaker 3>Everybody lost their checks and we're like, okay.

1:11:55.120 --> 1:11:58.479
<v Speaker 10>Everybody said, like when when Trump got elected, people are like,

1:11:58.520 --> 1:12:00.559
<v Speaker 10>I'm gonna move out of this country if Trump gets elected.

1:12:01.040 --> 1:12:03.960
<v Speaker 4>Fast forward, nobody moved out. Same thing about with Twitter.

1:12:04.000 --> 1:12:05.960
<v Speaker 10>You know, they said I'm gonna quit Twitter if Elon

1:12:06.080 --> 1:12:07.599
<v Speaker 10>must take They're all still there.

1:12:08.520 --> 1:12:12.120
<v Speaker 5>I'm genuinely curious here when you go to Reddit, like

1:12:12.160 --> 1:12:14.240
<v Speaker 5>what are the sub threads that you traffic in?

1:12:15.000 --> 1:12:17.600
<v Speaker 10>I feel like that's such a private question, which is

1:12:17.640 --> 1:12:20.360
<v Speaker 10>why I won't even tell you my handle. Like the

1:12:20.479 --> 1:12:22.759
<v Speaker 10>last thing in the world I want is for anybody

1:12:22.800 --> 1:12:24.160
<v Speaker 10>to see my Reddit money.

1:12:24.240 --> 1:12:24.400
<v Speaker 2>Back.

1:12:24.680 --> 1:12:27.040
<v Speaker 3>I've worked with Matt for so long and he said

1:12:27.080 --> 1:12:29.599
<v Speaker 3>something earlier, and I'm like, you still surprised me twenty

1:12:29.680 --> 1:12:30.679
<v Speaker 3>plus years in coming.

1:12:30.840 --> 1:12:31.759
<v Speaker 4>He's full of surprises.

1:12:31.920 --> 1:12:34.519
<v Speaker 8>You don't maintain multiple Twitter or Reddit hand I do have.

1:12:35.040 --> 1:12:35.479
<v Speaker 11>I do have.

1:12:37.000 --> 1:12:41.560
<v Speaker 10>Tell us your family friendly, you know, I mean, so

1:12:42.800 --> 1:12:45.880
<v Speaker 10>I look and I look at like a leather jackets thing.

1:12:45.920 --> 1:12:50.040
<v Speaker 10>Although for that I use even more embarrassing forums than Reddit, like, uh.

1:12:50.120 --> 1:12:52.680
<v Speaker 4>We learned yesterday Matt is I mean, I'm kind of

1:12:52.720 --> 1:12:54.160
<v Speaker 4>obsessed with leather jackets.

1:12:54.439 --> 1:12:56.880
<v Speaker 10>I'm also kind of obsessed with leather boots and shoes,

1:12:56.920 --> 1:12:59.200
<v Speaker 10>and Reddit has a very good forum for for boots.

1:13:00.439 --> 1:13:02.920
<v Speaker 5>We actually didn't ask you about this yesterday in video

1:13:03.040 --> 1:13:08.120
<v Speaker 5>CEO Jensen very very much. It owns the leather jacket.

1:13:08.400 --> 1:13:11.080
<v Speaker 5>Where do you rank his leather jacket like critique, I

1:13:11.160 --> 1:13:14.040
<v Speaker 5>don't get more than one though, exactly so, I don't.

1:13:14.360 --> 1:13:15.719
<v Speaker 5>They didn't look so amazing.

1:13:15.880 --> 1:13:18.040
<v Speaker 10>I don't think he's getting them from like the best

1:13:18.400 --> 1:13:20.559
<v Speaker 10>shinky horse hide tanneries in Japan.

1:13:20.760 --> 1:13:22.680
<v Speaker 4>You should reach out. I think that was he on

1:13:22.800 --> 1:13:26.040
<v Speaker 4>the Reddit formula. The thing is for jackets, you've got

1:13:26.120 --> 1:13:28.400
<v Speaker 4>to go to the door. Lounge is even worse.

1:13:28.840 --> 1:13:32.400
<v Speaker 5>Please, I think I think there needs to be uh,

1:13:33.000 --> 1:13:35.400
<v Speaker 5>you know, fashion consulting with Matt.

1:13:35.800 --> 1:13:37.320
<v Speaker 4>I'll reach out to and video.

1:13:37.400 --> 1:13:39.599
<v Speaker 3>How come somebody put chaps in our ib chat? Did

1:13:39.640 --> 1:13:40.320
<v Speaker 3>you say chaps?

1:13:40.680 --> 1:13:41.040
<v Speaker 11>Chaps?

1:13:41.760 --> 1:13:42.120
<v Speaker 4>Chaps?

1:13:42.439 --> 1:13:42.760
<v Speaker 3>I don't know.

1:13:43.520 --> 1:13:45.559
<v Speaker 4>Leather pants is what he's asking about.

1:13:45.920 --> 1:13:47.600
<v Speaker 11>I have a few pairs of, you know.

1:13:48.320 --> 1:13:49.960
<v Speaker 3>But that's for riding your motorcycle.

1:13:50.160 --> 1:13:50.800
<v Speaker 4>And we're good.

1:13:50.880 --> 1:13:51.360
<v Speaker 3>Are you staring?

1:13:52.000 --> 1:13:52.320
<v Speaker 2>All right?

1:13:52.439 --> 1:13:52.840
<v Speaker 4>Maybe not?

1:13:53.000 --> 1:13:54.559
<v Speaker 3>Okay? Talk about a revolution?

1:13:54.800 --> 1:13:55.519
<v Speaker 4>We just had one.

1:13:55.960 --> 1:13:56.240
<v Speaker 2>All right.

1:13:56.320 --> 1:13:58.679
<v Speaker 3>That's a wrap, guys, Thank you so much. Josha brustin

1:13:58.880 --> 1:14:02.880
<v Speaker 3>Tech Editor BusinessWeek. Here in studio Laitil Weber, the editor

1:14:02.920 --> 1:14:05.559
<v Speaker 3>of Bloomberg BusinessWeek, is story and the new issue at

1:14:05.600 --> 1:14:08.800
<v Speaker 3>BusinessWeek Magazine on newstands tomorrow, online at Bloomberg dot com,

1:14:08.840 --> 1:14:11.599
<v Speaker 3>slash business Weekend, on the Bloomberg and on leather Chaps.

1:14:12.200 --> 1:14:13.799
<v Speaker 3>We're taking a break. This is Bloomberg.

1:14:16.280 --> 1:14:19.800
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

1:14:19.880 --> 1:14:23.519
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

1:14:23.760 --> 1:14:24.880
<v Speaker 1>the Bloomberg.

1:14:24.439 --> 1:14:25.680
<v Speaker 2>Business App, and you too.

1:14:26.040 --> 1:14:29.080
<v Speaker 1>You can also listen live to our flagship New York station,

1:14:29.640 --> 1:14:32.519
<v Speaker 1>Just Say Alexa, Play Bloomberg e Love and thirty.

1:14:34.320 --> 1:14:36.360
<v Speaker 3>Well, there was a story on the Bloomberg Today was

1:14:36.400 --> 1:14:39.960
<v Speaker 3>an analyst at with a note saying nothing is AI proof,

1:14:40.000 --> 1:14:42.719
<v Speaker 3>but live sports may come close. And basically they're saying

1:14:43.400 --> 1:14:47.800
<v Speaker 3>maybe sports as an asset and sports rights are something

1:14:47.880 --> 1:14:49.280
<v Speaker 3>that maybe's protecting from Aha.

1:14:49.520 --> 1:14:51.360
<v Speaker 4>Well, absolutely, I mean continuing to appreciate.

1:14:51.560 --> 1:14:53.679
<v Speaker 10>One of the most read stories was about a Sydney,

1:14:54.360 --> 1:14:57.120
<v Speaker 10>Australia based fund manager who said, I'm not going to

1:14:57.160 --> 1:15:00.680
<v Speaker 10>buy you know, Nvidia and the ship makers of the

1:15:00.760 --> 1:15:02.960
<v Speaker 10>data center operators, but I'm going to buy stuff that

1:15:03.280 --> 1:15:06.800
<v Speaker 10>can't be broken by AI right. And he said it's

1:15:06.840 --> 1:15:09.200
<v Speaker 10>a very small field. There's there's few things, you know,

1:15:09.240 --> 1:15:10.559
<v Speaker 10>but there are things out there.

1:15:10.479 --> 1:15:10.840
<v Speaker 2>All right.

1:15:11.000 --> 1:15:13.240
<v Speaker 3>So we are so obsessed with AI right and how

1:15:13.280 --> 1:15:15.680
<v Speaker 3>it's going to impact our world. So joining us to

1:15:15.720 --> 1:15:18.160
<v Speaker 3>talk a little bit about it. From Menlo Park on

1:15:18.360 --> 1:15:23.040
<v Speaker 3>Zoom is Bob Muglia. He's former CEO of Snowflake, the

1:15:23.040 --> 1:15:26.280
<v Speaker 3>global infrastructure software company. He was there from twenty fourteen

1:15:26.320 --> 1:15:29.120
<v Speaker 3>to twenty nineteen. Before that at Juniper Networks and then

1:15:29.120 --> 1:15:32.560
<v Speaker 3>a Microsoft divisional president back in nine. He is a

1:15:32.640 --> 1:15:35.960
<v Speaker 3>board director for a lot of companies. Board memberships on Microsoft,

1:15:36.320 --> 1:15:39.400
<v Speaker 3>Snowflake relation AI and a few more. He's got a

1:15:39.479 --> 1:15:43.639
<v Speaker 3>new book out. It's called The Data Datapreneurs, The Promise

1:15:43.680 --> 1:15:47.000
<v Speaker 3>of AI and the Creators building our Future. And I apologize, Bob,

1:15:47.040 --> 1:15:48.920
<v Speaker 3>I've had a hard time getting out. It's basically a

1:15:48.960 --> 1:15:53.200
<v Speaker 3>play on data entrepreneurs. And I love the title. Welcome, Welcome,

1:15:53.280 --> 1:15:54.760
<v Speaker 3>How are you good?

1:15:54.800 --> 1:15:55.120
<v Speaker 4>I'm good.

1:15:55.200 --> 1:15:57.479
<v Speaker 16>It's glad to be here down the Bayer this week,

1:15:57.560 --> 1:15:59.640
<v Speaker 16>so it's fun. I'm warmly up in Seattle, but I'm

1:15:59.640 --> 1:16:00.519
<v Speaker 16>down the this week.

1:16:00.560 --> 1:16:02.200
<v Speaker 3>So I think, are they talking a lot about AI

1:16:02.280 --> 1:16:02.880
<v Speaker 3>in the Bay Area?

1:16:03.439 --> 1:16:04.880
<v Speaker 4>That's all they talk about down here?

1:16:06.439 --> 1:16:06.559
<v Speaker 1>Well?

1:16:06.720 --> 1:16:09.400
<v Speaker 3>Rightfully, So from your vantage point, should we all be

1:16:09.560 --> 1:16:12.040
<v Speaker 3>talking about AI? And how should we be talking about it?

1:16:12.120 --> 1:16:14.479
<v Speaker 3>And of course I'm talking about machine learning, generative AI,

1:16:14.680 --> 1:16:16.080
<v Speaker 3>kind of the next level, if you will.

1:16:16.880 --> 1:16:19.280
<v Speaker 16>Well, I think it really has hit the vernacular of

1:16:19.800 --> 1:16:22.960
<v Speaker 16>common people and it's become part of everyday lives with

1:16:23.280 --> 1:16:26.160
<v Speaker 16>tools like jack GPT, and it's really just the beginning.

1:16:26.280 --> 1:16:28.560
<v Speaker 16>I mean, this is going to affect us in a

1:16:28.720 --> 1:16:30.880
<v Speaker 16>very deep way. I think we're going to see all

1:16:30.960 --> 1:16:33.599
<v Speaker 16>sorts of wondrous things coming in the next couple of years.

1:16:34.120 --> 1:16:36.760
<v Speaker 16>These assistants or copilots that are going to help us

1:16:36.760 --> 1:16:39.439
<v Speaker 16>in a whole bunch of ways. Just about every application

1:16:39.600 --> 1:16:42.160
<v Speaker 16>is going to be updated, big, big time, lots of

1:16:42.200 --> 1:16:44.800
<v Speaker 16>change in technology. It's the biggest thing I've ever seen

1:16:44.840 --> 1:16:46.080
<v Speaker 16>in my career, actually.

1:16:46.560 --> 1:16:50.040
<v Speaker 10>So, I mean, it's absolutely huge, and the co pilots

1:16:50.080 --> 1:16:53.160
<v Speaker 10>are one of the things I'm most excited about for Microsoft.

1:16:54.400 --> 1:16:56.880
<v Speaker 10>Do you think there's a killer app that we haven't

1:16:56.920 --> 1:17:00.200
<v Speaker 10>seen yet or are there just so many uses is

1:17:00.240 --> 1:17:01.800
<v Speaker 10>that it will be hard to pin one down.

1:17:02.280 --> 1:17:04.600
<v Speaker 16>Well, honestly, one of the killer apps is going to

1:17:04.680 --> 1:17:07.200
<v Speaker 16>be searched, for sure, and you know we have an

1:17:07.240 --> 1:17:10.799
<v Speaker 16>opportunity to see search truly reinvented with these answer bots

1:17:10.840 --> 1:17:13.080
<v Speaker 16>that are being created. Bing was one of the first ones.

1:17:13.120 --> 1:17:15.400
<v Speaker 16>There's a number of others out. I have an investment

1:17:15.400 --> 1:17:18.080
<v Speaker 16>in a small company called Perplexity that's that's in that space.

1:17:18.479 --> 1:17:19.920
<v Speaker 16>But it's really the first time you've been able to

1:17:19.960 --> 1:17:22.000
<v Speaker 16>take on Google. I'll say, I'll say that for sure.

1:17:22.600 --> 1:17:25.280
<v Speaker 16>I think the office is going to be tremendously updated. Really,

1:17:25.400 --> 1:17:27.679
<v Speaker 16>just about every application is going to up be updated.

1:17:27.720 --> 1:17:30.200
<v Speaker 16>I saw Salesforce made some major announcements a week or

1:17:30.240 --> 1:17:34.240
<v Speaker 16>two ago. You're going to see just about every application updated.

1:17:34.280 --> 1:17:37.719
<v Speaker 16>And you know a company I ran for five years, Snowflake,

1:17:37.840 --> 1:17:40.760
<v Speaker 16>is going to be making major announcements next week. Lots

1:17:40.760 --> 1:17:43.240
<v Speaker 16>of stuff happening. So yes, lots of apps. I don't

1:17:43.240 --> 1:17:45.400
<v Speaker 16>know if it's any one app. I think it's many

1:17:45.439 --> 1:17:47.639
<v Speaker 16>apps that'll be that'll be, it'll be killer apps.

1:17:48.280 --> 1:17:53.800
<v Speaker 3>Bob Bloomberg Business recovering in a story about Reddit and

1:17:53.920 --> 1:17:57.519
<v Speaker 3>basically it gets to a bigger question about who owns

1:17:57.640 --> 1:18:01.800
<v Speaker 3>the data that is going to help make generative AI smarter? Right,

1:18:01.920 --> 1:18:05.080
<v Speaker 3>that's crucial. What's your view on that.

1:18:06.120 --> 1:18:07.840
<v Speaker 16>Well, there's an awful lot of data out there, and

1:18:07.960 --> 1:18:10.880
<v Speaker 16>one of the things that people are learning about with

1:18:11.080 --> 1:18:14.000
<v Speaker 16>these generative AIS and these machine learning programs is the

1:18:14.120 --> 1:18:17.280
<v Speaker 16>quality of the data really matters. So I think you're

1:18:17.280 --> 1:18:20.360
<v Speaker 16>going to see corporate data becoming very important, proprietary data

1:18:20.439 --> 1:18:23.360
<v Speaker 16>becoming important assets that people are using. You know, public

1:18:23.439 --> 1:18:26.320
<v Speaker 16>forms like Reddit and lots of public forms that are

1:18:26.360 --> 1:18:28.880
<v Speaker 16>out there. Those are all that's data that people are using.

1:18:29.560 --> 1:18:31.840
<v Speaker 16>They may try and monetize it in some ways. I

1:18:31.920 --> 1:18:34.160
<v Speaker 16>think see you'll see people starting to do that if

1:18:34.200 --> 1:18:38.080
<v Speaker 16>people have sources of public data. But in general, people

1:18:38.080 --> 1:18:40.040
<v Speaker 16>are going to be using their data as a way

1:18:40.080 --> 1:18:43.559
<v Speaker 16>of generating proprietary information. And what we haven't seen yet

1:18:43.680 --> 1:18:45.680
<v Speaker 16>is this really break into the enterprise and that's a

1:18:45.720 --> 1:18:47.880
<v Speaker 16>tremendous opportunity over the next couple of years.

1:18:48.040 --> 1:18:52.200
<v Speaker 3>Does this generative AI make different social media platforms more

1:18:52.240 --> 1:18:54.360
<v Speaker 3>important than before? In other words, we were talking about

1:18:54.400 --> 1:18:56.360
<v Speaker 3>kind of who's the top right place, right Matt in

1:18:56.439 --> 1:18:59.080
<v Speaker 3>terms of social media is does it kind of upend

1:19:00.280 --> 1:19:01.080
<v Speaker 3>the hierarchy?

1:19:01.200 --> 1:19:04.479
<v Speaker 16>If you will, it probably will over time. I mean,

1:19:04.560 --> 1:19:06.599
<v Speaker 16>it's hard to say. It's hard to say. As I said,

1:19:06.800 --> 1:19:08.519
<v Speaker 16>you know, I can see for the first time, you know,

1:19:08.680 --> 1:19:12.160
<v Speaker 16>applications like search, which have the opportunity to be disrupted.

1:19:12.600 --> 1:19:14.840
<v Speaker 16>I think social media will be different because you're gonna

1:19:14.880 --> 1:19:17.680
<v Speaker 16>want to have AI summarize things for you. One of

1:19:17.720 --> 1:19:20.120
<v Speaker 16>the challenges with social media there's so much garbage on it.

1:19:20.160 --> 1:19:22.280
<v Speaker 16>It'd be nice to have a bot be able to

1:19:22.360 --> 1:19:24.760
<v Speaker 16>say what's interesting in that that happened today. And so

1:19:25.120 --> 1:19:27.320
<v Speaker 16>perhaps with the media company that does the best job

1:19:27.400 --> 1:19:29.160
<v Speaker 16>of that may wind up in the best position. But

1:19:29.240 --> 1:19:30.519
<v Speaker 16>we'll have to see to find out.

1:19:30.640 --> 1:19:33.280
<v Speaker 4>I mean, Carol, how many emails do you get every day?

1:19:33.360 --> 1:19:36.639
<v Speaker 3>Too many? I don't even read them all literally, and if.

1:19:36.560 --> 1:19:39.599
<v Speaker 10>I could have I'm constantly typing eight nine go, eight

1:19:39.760 --> 1:19:41.839
<v Speaker 10>nine go, which is spam and delete on the Bloomberg.

1:19:41.880 --> 1:19:43.640
<v Speaker 3>I don't even I don't even delete anymore because it

1:19:43.680 --> 1:19:44.559
<v Speaker 3>would take so much time.

1:19:44.840 --> 1:19:47.519
<v Speaker 10>It would be great if AI. That's one area in

1:19:47.520 --> 1:19:51.439
<v Speaker 10>which I can't wait for AI. One thing I'd bristlet

1:19:51.479 --> 1:19:54.160
<v Speaker 10>a little bit, Bob is when when Carol says make

1:19:54.240 --> 1:19:57.400
<v Speaker 10>it smarter, I mean, it's not really getting smarter, right,

1:19:57.760 --> 1:19:59.479
<v Speaker 10>That's a term that you use for a human and

1:19:59.560 --> 1:19:59.920
<v Speaker 10>I think.

1:19:59.840 --> 1:20:02.639
<v Speaker 3>We but it is becoming right, it's the use of data.

1:20:02.800 --> 1:20:03.400
<v Speaker 3>It's different.

1:20:03.479 --> 1:20:06.040
<v Speaker 4>It's the right word. It's the right word. Well, what

1:20:06.240 --> 1:20:07.600
<v Speaker 4>do you do?

1:20:07.680 --> 1:20:13.599
<v Speaker 10>You share the concerns voiced by people like Musk and uh,

1:20:13.840 --> 1:20:18.759
<v Speaker 10>you know open AI, Sam Altman about you know, somehow

1:20:18.960 --> 1:20:26.720
<v Speaker 10>this program becoming smart enough to subjugate humanity like that

1:20:26.880 --> 1:20:30.519
<v Speaker 10>seems to me to be a ridiculous and be kind

1:20:30.560 --> 1:20:33.439
<v Speaker 10>of takes responsibility away from the companies that are running

1:20:33.439 --> 1:20:34.120
<v Speaker 10>these programs.

1:20:35.000 --> 1:20:37.679
<v Speaker 16>Well, you know, we've as we've all grown up, we've

1:20:37.880 --> 1:20:42.719
<v Speaker 16>been seen many dystopian science fiction things, Terminator being perhaps

1:20:42.800 --> 1:20:45.200
<v Speaker 16>one of the most the most accomplished of all of those.

1:20:45.240 --> 1:20:45.519
<v Speaker 3>I don't.

1:20:45.640 --> 1:20:47.200
<v Speaker 16>I don't know how you can. You can be much

1:20:47.240 --> 1:20:50.400
<v Speaker 16>worse than Terminator was to humanity. So there's a lot

1:20:50.439 --> 1:20:52.880
<v Speaker 16>of there's a lot of of of of literature and

1:20:53.160 --> 1:20:55.360
<v Speaker 16>science fiction that goes into this. You know, in the

1:20:55.439 --> 1:20:58.080
<v Speaker 16>short run, the real concerns are what people will do

1:20:58.240 --> 1:21:01.920
<v Speaker 16>with AI, and people to do everything with AI, good, bad,

1:21:02.000 --> 1:21:05.519
<v Speaker 16>and evil, and as they do with social media, right,

1:21:06.240 --> 1:21:08.840
<v Speaker 16>like they do with social media exactly, And and AI

1:21:08.960 --> 1:21:11.599
<v Speaker 16>can do some things faster than humans can, so there

1:21:11.680 --> 1:21:13.920
<v Speaker 16>may be some new challenges, but it also can help

1:21:14.000 --> 1:21:17.040
<v Speaker 16>to fight against those challenges too, And so you know,

1:21:17.080 --> 1:21:20.559
<v Speaker 16>we'll see AI defending us against bad AI, good AI

1:21:20.640 --> 1:21:21.840
<v Speaker 16>defending us against bad EI.

1:21:22.040 --> 1:21:25.360
<v Speaker 4>In the short term, you know, the long term concerns.

1:21:24.960 --> 1:21:29.680
<v Speaker 16>About about existential issues about humanity are really about will

1:21:29.880 --> 1:21:32.519
<v Speaker 16>will this intelligence get smarter than all of us and

1:21:32.640 --> 1:21:36.400
<v Speaker 16>then you know, go become rogue and go against us. Now, honestly,

1:21:36.439 --> 1:21:38.160
<v Speaker 16>I do think it's going to get smarter than all

1:21:38.240 --> 1:21:41.439
<v Speaker 16>of us. It's on a path to basically be able

1:21:41.520 --> 1:21:45.479
<v Speaker 16>to take the ideas and the intelligence of everybody in

1:21:45.600 --> 1:21:48.360
<v Speaker 16>humanity and to put a lot of that together into

1:21:48.439 --> 1:21:52.560
<v Speaker 16>a system that can be immediately trained and replicated and

1:21:52.680 --> 1:21:55.160
<v Speaker 16>grow and things. So there is a lot of opportunity

1:21:55.200 --> 1:21:58.200
<v Speaker 16>for this stuff to get smarter. But ultimately we will

1:21:58.240 --> 1:22:02.040
<v Speaker 16>be creating whatever it is. And I've always been a

1:22:02.120 --> 1:22:04.960
<v Speaker 16>believer that values will reign supreme in the end, and

1:22:05.240 --> 1:22:08.479
<v Speaker 16>that while humanity does many things wrong, ultimately we come up.

1:22:08.800 --> 1:22:11.040
<v Speaker 16>We never really screw it up that badly, and ultimately

1:22:11.160 --> 1:22:13.680
<v Speaker 16>we'll make the right things happen. I think AI is

1:22:13.720 --> 1:22:15.600
<v Speaker 16>going to do great things for all of us in

1:22:15.680 --> 1:22:17.439
<v Speaker 16>the short and medium term and in the long term.

1:22:17.520 --> 1:22:19.680
<v Speaker 16>Who knows what will happen, But I still have a

1:22:19.800 --> 1:22:22.400
<v Speaker 16>very positive outlook. I'm definitely a techno optimist.

1:22:22.920 --> 1:22:25.600
<v Speaker 4>I love your optimism, Bob. We need more of that.

1:22:26.000 --> 1:22:26.519
<v Speaker 4>Let's get more.

1:22:26.560 --> 1:22:28.760
<v Speaker 3>Bobs also think it's it's important.

1:22:29.160 --> 1:22:30.599
<v Speaker 4>Yeah, it's all about people.

1:22:30.640 --> 1:22:34.679
<v Speaker 16>I mean, ultimately, the thing to realize is these tools

1:22:34.720 --> 1:22:38.400
<v Speaker 16>are being created by people, and we will do to

1:22:38.520 --> 1:22:40.400
<v Speaker 16>it what we do with everything. And like I say,

1:22:40.479 --> 1:22:42.720
<v Speaker 16>lots of great things and maybe some bad things too,

1:22:43.240 --> 1:22:45.320
<v Speaker 16>but we'll figure out how to control it and make

1:22:45.360 --> 1:22:45.720
<v Speaker 16>it work.

1:22:45.800 --> 1:22:49.000
<v Speaker 3>I think about healthcare like the ability, because healthcare is

1:22:49.360 --> 1:22:52.280
<v Speaker 3>far from even as we know. It's an old story, unfortunately,

1:22:52.560 --> 1:22:54.559
<v Speaker 3>But I think about the possibility if you've got something

1:22:54.640 --> 1:22:57.000
<v Speaker 3>and there's no way the medical community can keep up

1:22:57.040 --> 1:22:58.840
<v Speaker 3>with all the research that's out there, and so the

1:22:58.880 --> 1:23:02.800
<v Speaker 3>ability to somehow use AI to figure out, Wait, what's

1:23:02.840 --> 1:23:06.200
<v Speaker 3>your you know, ailment and your the nuances to it.

1:23:06.320 --> 1:23:07.560
<v Speaker 3>And then here's the reason, I don't know.

1:23:07.640 --> 1:23:09.519
<v Speaker 10>I just think it's so dangerous at first. Do you

1:23:09.560 --> 1:23:12.000
<v Speaker 10>ever get a little bit sicknical on WebMD? Then like

1:23:12.040 --> 1:23:13.160
<v Speaker 10>all of a sudden, you're dying.

1:23:13.280 --> 1:23:15.720
<v Speaker 3>But that's not as smart as it could be, right

1:23:15.760 --> 1:23:17.680
<v Speaker 3>bub Yeah, and web md is.

1:23:17.720 --> 1:23:19.280
<v Speaker 16>Unfortunately you go, you go on the web and you

1:23:19.320 --> 1:23:20.920
<v Speaker 16>don't know, you know, you really know what you're looking for,

1:23:21.040 --> 1:23:22.599
<v Speaker 16>and you see all sorts of nasty things.

1:23:23.360 --> 1:23:25.559
<v Speaker 3>Dying I'm always dying, to be quite honest.

1:23:26.160 --> 1:23:27.519
<v Speaker 4>Talk about these co pilots.

1:23:27.560 --> 1:23:31.800
<v Speaker 16>Think about it. Think about a physician's assistant copilot right

1:23:31.960 --> 1:23:34.760
<v Speaker 16>that has access to all the latest medical research and

1:23:34.840 --> 1:23:37.680
<v Speaker 16>can look at a scan, for example, and compare it

1:23:37.760 --> 1:23:40.200
<v Speaker 16>to millions of other scans that have been done, and really,

1:23:40.320 --> 1:23:42.760
<v Speaker 16>do you know, find things that people wouldn't be able

1:23:42.840 --> 1:23:45.400
<v Speaker 16>to find. These co pilots are going to be incredibly

1:23:45.439 --> 1:23:47.559
<v Speaker 16>helpful in medicine. It's one of the areashe we'll see

1:23:47.600 --> 1:23:49.639
<v Speaker 16>some of the biggest advancements in the next five years.

1:23:49.720 --> 1:23:51.320
<v Speaker 3>And I'm going to have a co pilot here in

1:23:51.360 --> 1:23:51.879
<v Speaker 3>the studio.

1:23:52.000 --> 1:23:52.120
<v Speaker 8>Man.

1:23:53.040 --> 1:23:54.080
<v Speaker 4>As much as I love you.

1:23:54.439 --> 1:23:56.640
<v Speaker 3>I'm going to have a co pilot, and I'm just

1:23:56.760 --> 1:23:58.640
<v Speaker 3>going to tell you you deserve one. He will be,

1:23:58.720 --> 1:24:02.040
<v Speaker 3>as you know, entertaining probably or whatever. Still with us

1:24:02.200 --> 1:24:06.479
<v Speaker 3>is Bob Mugley. He's former CEO of Snowflake, also at

1:24:06.960 --> 1:24:10.040
<v Speaker 3>Juniper Networks Microsoft. He's got a new book out. It's

1:24:10.080 --> 1:24:13.200
<v Speaker 3>called The Datapreneurs, The Promise of AI and the Creators

1:24:13.240 --> 1:24:16.480
<v Speaker 3>Building Our Future. Still with us on Zoom from Menlo Park, California,

1:24:16.520 --> 1:24:18.320
<v Speaker 3>and I promise, I bet if we have AI to

1:24:18.479 --> 1:24:21.680
<v Speaker 3>revenge they can say this titles, so forgive me. I

1:24:21.760 --> 1:24:26.720
<v Speaker 3>do think it's interesting though, about the data entrepreneurs that

1:24:26.840 --> 1:24:29.760
<v Speaker 3>are out there kind of figuring this out, Bob right now.

1:24:29.800 --> 1:24:33.679
<v Speaker 3>And I feel like your vantage point and having worked

1:24:33.720 --> 1:24:37.840
<v Speaker 3>with some visionaries very early on, likea Bill Gates or

1:24:37.920 --> 1:24:40.800
<v Speaker 3>even a Sam Altman who is now increasingly because of

1:24:40.880 --> 1:24:44.559
<v Speaker 3>Open AI become a household name, tell us take us

1:24:44.640 --> 1:24:47.200
<v Speaker 3>back there, though, to maybe give us some insight of

1:24:47.280 --> 1:24:50.000
<v Speaker 3>what that era was like. As we feel like we

1:24:50.080 --> 1:24:53.040
<v Speaker 3>are embarking on a whole new kind of data era.

1:24:54.160 --> 1:24:54.360
<v Speaker 7>Yeah.

1:24:54.720 --> 1:24:58.160
<v Speaker 16>Well, the book The Datapreneurs is really about the entrepreneurs

1:24:58.200 --> 1:25:01.559
<v Speaker 16>I've known that have made a data industry and today

1:25:01.680 --> 1:25:04.880
<v Speaker 16>AI what it is. And the basic theory is that

1:25:04.960 --> 1:25:08.519
<v Speaker 16>there's an arc of innovation that has occurred really since

1:25:08.560 --> 1:25:13.400
<v Speaker 16>the advent of digital computing, with continued new improvements, new

1:25:13.479 --> 1:25:16.120
<v Speaker 16>technologies that have happened over time that have been advanced

1:25:16.160 --> 1:25:19.680
<v Speaker 16>by these incredible people, and that has brought us to

1:25:19.720 --> 1:25:22.000
<v Speaker 16>where we are today. And it has been this series

1:25:22.040 --> 1:25:25.960
<v Speaker 16>of progressions. Back in the late eighties early nineteen nineties

1:25:26.000 --> 1:25:28.840
<v Speaker 16>I worked very closely with Steve, Steve Baumer and Bill

1:25:28.920 --> 1:25:33.360
<v Speaker 16>Gates in the work on Windows, and back then there

1:25:33.479 --> 1:25:36.760
<v Speaker 16>was a focus on something called information at your Fingertips.

1:25:36.840 --> 1:25:39.040
<v Speaker 16>This was a vision Bill had come up with about

1:25:39.080 --> 1:25:41.640
<v Speaker 16>how we would be able to find any information we

1:25:41.760 --> 1:25:44.280
<v Speaker 16>wanted by just going to our PC and asking and

1:25:44.360 --> 1:25:47.080
<v Speaker 16>running a query and asking a question if it really is.

1:25:47.160 --> 1:25:50.519
<v Speaker 16>Back then, most people didn't even have email. Email was

1:25:50.720 --> 1:25:54.000
<v Speaker 16>relatively new back then, the Internet had yet to be invented,

1:25:55.280 --> 1:25:57.960
<v Speaker 16>and so this was a pretty novel concept. And while

1:25:58.040 --> 1:26:01.599
<v Speaker 16>it didn't pan out the way Bill had anticipated, it being,

1:26:01.680 --> 1:26:05.200
<v Speaker 16>which was really a desktop centric, Windows centric view of

1:26:05.240 --> 1:26:09.679
<v Speaker 16>the world. The Internet really changed that and really brought

1:26:09.800 --> 1:26:12.559
<v Speaker 16>us information at your fingertips in every way we could

1:26:12.560 --> 1:26:15.679
<v Speaker 16>have ever imagined. And now we have this incredible amount

1:26:15.720 --> 1:26:18.560
<v Speaker 16>of information available to us, and in some senses, the

1:26:18.760 --> 1:26:21.280
<v Speaker 16>largest problem we have is it's too much for us

1:26:21.360 --> 1:26:24.160
<v Speaker 16>to digest and to really make sense of. And and

1:26:24.240 --> 1:26:26.080
<v Speaker 16>that's where AI can really help us, because you can

1:26:26.120 --> 1:26:29.040
<v Speaker 16>go through a lot of that data and turn it

1:26:29.120 --> 1:26:31.840
<v Speaker 16>into information that is useful for us and and and

1:26:32.520 --> 1:26:35.360
<v Speaker 16>much much easier for us to consume. So it's been

1:26:35.640 --> 1:26:39.160
<v Speaker 16>it's been an ongoing trajectory. The world was very different back.

1:26:39.040 --> 1:26:40.280
<v Speaker 1>Then, you know.

1:26:40.360 --> 1:26:42.720
<v Speaker 16>I've often made the comment that I saw you know,

1:26:42.800 --> 1:26:46.320
<v Speaker 16>I saw Microsoft from from a bird's eye vantage point

1:26:46.360 --> 1:26:49.200
<v Speaker 16>and got a chance to see it all. I've often

1:26:49.240 --> 1:26:52.080
<v Speaker 16>said I saw the good, the bad, and the ugly

1:26:52.360 --> 1:26:56.080
<v Speaker 16>at Microsoft. I was one of the twelve witnesses who

1:26:57.520 --> 1:27:00.280
<v Speaker 16>was in front of Judge Jackson and the DJ case

1:27:00.320 --> 1:27:03.040
<v Speaker 16>than David Boyce, and that certainly would qualify as the

1:27:03.160 --> 1:27:06.879
<v Speaker 16>ugly in my opinion. But and then I did penance

1:27:06.960 --> 1:27:09.120
<v Speaker 16>on that for a couple of years afterwards, when I

1:27:09.280 --> 1:27:12.599
<v Speaker 16>kept going back to Washington, d C to clean up

1:27:12.640 --> 1:27:15.360
<v Speaker 16>some of the last issues we had with protocol documentation

1:27:16.040 --> 1:27:16.679
<v Speaker 16>on the DOJ.

1:27:16.920 --> 1:27:18.840
<v Speaker 4>So I lived through all of that back then.

1:27:19.439 --> 1:27:21.639
<v Speaker 3>What is there going to be a penance, if you will,

1:27:22.400 --> 1:27:24.479
<v Speaker 3>or a similar tough time when it comes to AI.

1:27:24.760 --> 1:27:27.080
<v Speaker 3>Is there going to have to be a very significant

1:27:27.160 --> 1:27:28.920
<v Speaker 3>role by regulators in your view?

1:27:29.960 --> 1:27:31.519
<v Speaker 16>Well, first of all, let me start by saying that,

1:27:32.000 --> 1:27:34.880
<v Speaker 16>you know, the Microsoft case really created a lot of law,

1:27:35.120 --> 1:27:37.960
<v Speaker 16>and I think all the industry as a whole has

1:27:38.040 --> 1:27:40.840
<v Speaker 16>learned a tremendous amount from the mistakes we made way

1:27:40.880 --> 1:27:43.600
<v Speaker 16>back when, so they can avoid a lot of the

1:27:43.760 --> 1:27:46.040
<v Speaker 16>challenges that we went through. You know, in terms of

1:27:46.120 --> 1:27:49.200
<v Speaker 16>regulations for AI, there certainly will be some I think

1:27:49.360 --> 1:27:52.679
<v Speaker 16>understanding what needs to be regulated is something that's still

1:27:52.720 --> 1:27:56.960
<v Speaker 16>being considered. I think that there are areas where people

1:27:57.240 --> 1:28:00.439
<v Speaker 16>taking AI and doing things with it that you know,

1:28:00.560 --> 1:28:02.880
<v Speaker 16>that are that are that that like deep fakes as

1:28:02.880 --> 1:28:06.120
<v Speaker 16>an example, there may need to be some new laws

1:28:06.200 --> 1:28:09.360
<v Speaker 16>associated with that, because, if I understand correctly, the laws

1:28:09.400 --> 1:28:12.840
<v Speaker 16>that we have today don't necessarily fully cover the idea

1:28:12.880 --> 1:28:16.679
<v Speaker 16>of somebody creating a complete image, a complete like image

1:28:16.720 --> 1:28:19.800
<v Speaker 16>of a person and then having that image saying things

1:28:19.880 --> 1:28:22.439
<v Speaker 16>that are just not true and clearly that that can't

1:28:22.479 --> 1:28:24.200
<v Speaker 16>be allowed, and we need to make sure that things

1:28:24.280 --> 1:28:26.599
<v Speaker 16>like that are not permitted. So the laws will get

1:28:26.640 --> 1:28:31.080
<v Speaker 16>updated somewhat, but actually most of the existing laws can

1:28:31.160 --> 1:28:33.840
<v Speaker 16>be applied because people are behind these things.

1:28:33.920 --> 1:28:35.840
<v Speaker 4>And if you can, if you if you can.

1:28:35.840 --> 1:28:37.840
<v Speaker 3>Take a look what happened with crypto right like it

1:28:37.920 --> 1:28:39.200
<v Speaker 3>got me. It's gotten messy.

1:28:41.080 --> 1:28:43.479
<v Speaker 16>Crypto is messy to begin with, though, isn't it.

1:28:43.600 --> 1:28:45.840
<v Speaker 3>That's true, that's true, that's but do you feel like

1:28:45.880 --> 1:28:47.519
<v Speaker 3>you know what I'm saying that it feels like there

1:28:47.720 --> 1:28:50.759
<v Speaker 3>was quite a lag in terms of regulatory oversight.

1:28:52.120 --> 1:28:54.880
<v Speaker 16>Well, there always is going to be a laged. There's

1:28:54.920 --> 1:28:57.280
<v Speaker 16>always going to be alaged because technology will move faster

1:28:57.400 --> 1:28:59.920
<v Speaker 16>than the government can ever move. And so we you know,

1:29:00.240 --> 1:29:03.360
<v Speaker 16>we discover you know, the Sam Bankman freeds that happen.

1:29:03.520 --> 1:29:05.960
<v Speaker 16>You know that that is something that perhaps could have

1:29:06.000 --> 1:29:09.760
<v Speaker 16>been caught. But now I think people have a clean,

1:29:10.280 --> 1:29:12.320
<v Speaker 16>a keen eye to look for things like that.

1:29:13.040 --> 1:29:15.920
<v Speaker 3>So I am curious. You're the kind of person that

1:29:15.960 --> 1:29:18.160
<v Speaker 3>if I was going from New York to the West Coast,

1:29:18.200 --> 1:29:20.360
<v Speaker 3>I'd love to be sitting on a plane with because

1:29:20.360 --> 1:29:22.479
<v Speaker 3>I would pick your brain and probably drive you crazy.

1:29:23.280 --> 1:29:26.280
<v Speaker 3>But having said that, what is when people know your background?

1:29:26.479 --> 1:29:29.240
<v Speaker 3>What is the question that they ask you most? When

1:29:29.280 --> 1:29:32.040
<v Speaker 3>it comes to our new world and our obsession, it

1:29:32.080 --> 1:29:34.280
<v Speaker 3>feels like it almost euphoria when it comes to AI.

1:29:34.439 --> 1:29:37.000
<v Speaker 3>What's the smart conversation too that we should be having?

1:29:37.640 --> 1:29:40.559
<v Speaker 16>Well, I think the interesting question is that I keep

1:29:40.640 --> 1:29:43.120
<v Speaker 16>hearing is what are the new innovations that are going

1:29:43.200 --> 1:29:46.120
<v Speaker 16>to come about? What are the areas where applications are

1:29:46.160 --> 1:29:48.840
<v Speaker 16>going to be transformed, and how is the technology going

1:29:48.880 --> 1:29:51.280
<v Speaker 16>to transform it. One of the things we've learned in

1:29:51.360 --> 1:29:54.240
<v Speaker 16>the last few months, which frankly wasn't clear in December

1:29:54.280 --> 1:29:57.439
<v Speaker 16>or January, is that this AI is going to be

1:29:57.520 --> 1:30:01.720
<v Speaker 16>available to just about everyone at effect zero cost you.

1:30:01.800 --> 1:30:05.080
<v Speaker 16>It'll be advertising based in some ways, and services will

1:30:05.080 --> 1:30:08.519
<v Speaker 16>come out that are available to consumers as a whole.

1:30:09.040 --> 1:30:12.400
<v Speaker 16>And I think that that you're going to have these

1:30:12.479 --> 1:30:17.280
<v Speaker 16>services available to people really in all socioeconomic brackets. That's

1:30:17.360 --> 1:30:19.960
<v Speaker 16>one area where it was not obvious a few months ago,

1:30:20.040 --> 1:30:22.400
<v Speaker 16>and now it does seem to be clear. We've seen

1:30:22.400 --> 1:30:28.240
<v Speaker 16>an incredible explosion of development of new open source technology,

1:30:28.720 --> 1:30:32.280
<v Speaker 16>so it's not just coming from the big boys. Uh,

1:30:32.720 --> 1:30:34.840
<v Speaker 16>there was an initial thought that you had to have

1:30:34.920 --> 1:30:38.080
<v Speaker 16>spent tens or hundreds of millions of dollars to build

1:30:38.120 --> 1:30:41.680
<v Speaker 16>these these these models. That is certainly still true. But

1:30:41.800 --> 1:30:45.200
<v Speaker 16>what's happening is is that open source models are appearing

1:30:45.280 --> 1:30:48.880
<v Speaker 16>that have a lot of that work already done that

1:30:49.000 --> 1:30:51.960
<v Speaker 16>can then be customized. So the interesting question is where

1:30:51.960 --> 1:30:53.200
<v Speaker 16>are these things are going to make a difference in

1:30:53.240 --> 1:30:55.320
<v Speaker 16>the next few years. And I think you know you're

1:30:55.360 --> 1:30:58.519
<v Speaker 16>going to see it in just about every application. And

1:30:58.640 --> 1:31:01.760
<v Speaker 16>it's not just technologlogy coming from Google and open AI

1:31:01.880 --> 1:31:03.320
<v Speaker 16>and Microsoft that'll make it happen.

1:31:03.479 --> 1:31:06.920
<v Speaker 3>Love this, come back anytime and open invitation, no doubt

1:31:06.960 --> 1:31:09.040
<v Speaker 3>about it. Really appreciate it and good luck with the book.

1:31:09.360 --> 1:31:12.599
<v Speaker 3>Bob Muglia. He is the former CEO of Snowflake. As

1:31:12.720 --> 1:31:15.640
<v Speaker 3>we said, the datapreneurs, the promise of AI and the

1:31:15.720 --> 1:31:18.320
<v Speaker 3>creators building our future. It's a new book, it's out.

1:31:18.400 --> 1:31:20.680
<v Speaker 3>Check it out, so relevant to what's going on right

1:31:20.720 --> 1:31:23.320
<v Speaker 3>now on zoom from Menlo Park, California. Bob again, thank

1:31:23.360 --> 1:31:26.120
<v Speaker 3>you so much. You're listening to Bloomberg Business Week watching

1:31:26.200 --> 1:31:28.800
<v Speaker 3>us as well. I'm Carol Masser along with Matt Miller,

1:31:28.920 --> 1:31:30.320
<v Speaker 3>and this is Bloomberg Radio.

1:31:34.960 --> 1:31:38.479
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:31:38.560 --> 1:31:42.200
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

1:31:42.439 --> 1:31:45.280
<v Speaker 1>the Bloomberg Business app and you too. You can also

1:31:45.439 --> 1:31:49.320
<v Speaker 1>listen live to our flagship New York station. Just say Alexa,

1:31:49.560 --> 1:31:51.240
<v Speaker 1>play Bloomberg. You love them, Jerdy.

1:31:52.960 --> 1:31:53.639
<v Speaker 4>Let's get to our.

1:31:53.520 --> 1:31:54.720
<v Speaker 3>Guest, because we want to talk about some of the

1:31:54.800 --> 1:31:58.200
<v Speaker 3>challenges fame seeing the music industry due to artificial intelligence.

1:31:58.240 --> 1:32:00.760
<v Speaker 3>With us again right here on Blomberg Busines, speak Michael Happy.

1:32:00.800 --> 1:32:03.599
<v Speaker 3>He's president CEO of Sound Exchange, and organization that essentially

1:32:03.640 --> 1:32:07.160
<v Speaker 3>collects royalties for music creators. Right, I'm saying it right, Yeah,

1:32:07.240 --> 1:32:09.240
<v Speaker 3>back in studio. I'm good to have you back with us.

1:32:09.439 --> 1:32:11.200
<v Speaker 13>I'm pleasure to be here, always happy to come and

1:32:11.240 --> 1:32:13.040
<v Speaker 13>chat with you about whatever issues are on your mind.

1:32:13.160 --> 1:32:16.280
<v Speaker 3>Well, there's there's a lot of issues that my therapist

1:32:16.320 --> 1:32:20.200
<v Speaker 3>has marked don't want to go exactly. Having said that,

1:32:20.400 --> 1:32:22.600
<v Speaker 3>AI talked us about your members or the folks that

1:32:22.640 --> 1:32:25.160
<v Speaker 3>you work with. Are they a little nervous about the

1:32:25.240 --> 1:32:25.840
<v Speaker 3>rise of AI?

1:32:26.400 --> 1:32:30.040
<v Speaker 13>So look, AI is a very interesting uh topic in

1:32:30.040 --> 1:32:32.080
<v Speaker 13>the music industr, right now there's there's you know, there's

1:32:32.080 --> 1:32:34.440
<v Speaker 13>certainly concerns about it, but there's a lot of opportunities

1:32:34.479 --> 1:32:34.840
<v Speaker 13>as well.

1:32:35.479 --> 1:32:35.600
<v Speaker 3>You know.

1:32:35.720 --> 1:32:38.360
<v Speaker 13>On the one hand, you know, when you think about

1:32:38.400 --> 1:32:41.080
<v Speaker 13>the issues that AI brings, I typically put them into

1:32:41.160 --> 1:32:45.240
<v Speaker 13>three buckets, legal, cultural, and financial. On the legal front,

1:32:45.320 --> 1:32:46.680
<v Speaker 13>there's obviously there you know, there are a lot of

1:32:46.720 --> 1:32:49.800
<v Speaker 13>copyright issues about what is AI allowed to scrape? Can

1:32:49.880 --> 1:32:52.840
<v Speaker 13>you go and scrape copyrighted contents? You know, for instance,

1:32:52.880 --> 1:32:55.720
<v Speaker 13>all of those very excellent you know databases out there

1:32:55.800 --> 1:32:58.800
<v Speaker 13>that you guys supply is AI allowed to scrape copyrighted things?

1:32:59.520 --> 1:33:02.360
<v Speaker 13>When AI creates a product, is it copyrighted? These are

1:33:02.360 --> 1:33:05.200
<v Speaker 13>all some questions that are that are being engaged. Although

1:33:05.240 --> 1:33:07.800
<v Speaker 13>we think copyright law pretty much protects creators the way

1:33:07.840 --> 1:33:09.240
<v Speaker 13>they need to. But you know what people don't talk

1:33:09.240 --> 1:33:11.599
<v Speaker 13>about as much. And thank you for bringing up Drake

1:33:11.640 --> 1:33:14.360
<v Speaker 13>in the weekend. It isn't just about copyright law. It

1:33:14.479 --> 1:33:18.799
<v Speaker 13>is just it's equally about artists rights, creators rights.

1:33:19.040 --> 1:33:21.080
<v Speaker 4>You know what we call name, image and likeness. That

1:33:21.600 --> 1:33:22.400
<v Speaker 4>the thing that bothers.

1:33:22.520 --> 1:33:25.559
<v Speaker 3>They took their sound, right, they took their sound.

1:33:25.640 --> 1:33:27.759
<v Speaker 13>But you know what you're also doing when you imitate

1:33:28.160 --> 1:33:31.559
<v Speaker 13>an artist with fully you know, creative age chalk.

1:33:31.479 --> 1:33:32.599
<v Speaker 3>And a bar singing karaoke.

1:33:33.080 --> 1:33:35.080
<v Speaker 4>Excuse me, you.

1:33:35.120 --> 1:33:38.479
<v Speaker 13>Know you're basically marketing on the you know, the the

1:33:38.640 --> 1:33:41.360
<v Speaker 13>brand and the image that Drake and the weekend and

1:33:41.439 --> 1:33:43.400
<v Speaker 13>that's just not right in any in any scenario.

1:33:43.600 --> 1:33:46.400
<v Speaker 3>Agreed, Agreed. Right, it's a brand, it's a branding.

1:33:46.400 --> 1:33:48.240
<v Speaker 4>But it's it's not just about the legal party.

1:33:48.360 --> 1:33:50.439
<v Speaker 13>You know what, what what would I think the music

1:33:50.640 --> 1:33:52.640
<v Speaker 13>industry wants everybody to be aware of, is there's this

1:33:52.680 --> 1:33:56.000
<v Speaker 13>cultural component as well. You know, there's something about human

1:33:56.120 --> 1:33:58.240
<v Speaker 13>artistry that we're actually part of a coalition called the

1:33:58.320 --> 1:34:03.240
<v Speaker 13>Human Artistry Campaign DOT and you know it talks about

1:34:03.439 --> 1:34:06.120
<v Speaker 13>as an industry, not just music, but all the creative industry.

1:34:06.160 --> 1:34:06.719
<v Speaker 4>It talks about.

1:34:07.000 --> 1:34:08.760
<v Speaker 13>Look, AI is a really cool tool, and we should

1:34:08.800 --> 1:34:11.000
<v Speaker 13>talk about the benefits that it brings to the music

1:34:11.040 --> 1:34:13.759
<v Speaker 13>industry and elsewhere. But let's not forget the human element.

1:34:13.840 --> 1:34:16.080
<v Speaker 13>Let's not forget the value that human artistry brings.

1:34:16.120 --> 1:34:18.800
<v Speaker 10>I think that's irreplaceable also, Michael, I mean to be fair,

1:34:20.160 --> 1:34:23.960
<v Speaker 10>AI could be really helpful in the studio. If you're

1:34:23.960 --> 1:34:26.960
<v Speaker 10>a guitarist, like a singer songwriter and you want a

1:34:27.160 --> 1:34:29.960
<v Speaker 10>certain drum beat. You can probably much more easily now

1:34:30.080 --> 1:34:33.200
<v Speaker 10>get AI to create that for you with whatever time

1:34:33.320 --> 1:34:36.640
<v Speaker 10>signature you want, and you know, whatever drum kit you

1:34:36.840 --> 1:34:39.000
<v Speaker 10>wanted to sound like. But you're not going to be

1:34:39.040 --> 1:34:42.200
<v Speaker 10>able to write the kind of hit that resonates with people,

1:34:43.040 --> 1:34:47.200
<v Speaker 10>you know, for generations with a software program right now.

1:34:47.479 --> 1:34:51.639
<v Speaker 4>So you are absolutely right on, and it reminds I disagree.

1:34:51.680 --> 1:34:53.160
<v Speaker 3>I think you could. You're going to be able to

1:34:53.280 --> 1:34:54.880
<v Speaker 3>use AI to write songs.

1:34:54.640 --> 1:34:56.800
<v Speaker 10>Yes, you can use AI to write songs, but you're

1:34:56.800 --> 1:34:58.519
<v Speaker 10>not going to be able to churn out a Stairway

1:34:58.560 --> 1:35:00.400
<v Speaker 10>to Heaven. You know, you're not gonna be able to

1:35:00.479 --> 1:35:03.680
<v Speaker 10>do a great Eagle's Greatest Hits Volume two. You're not

1:35:03.720 --> 1:35:05.400
<v Speaker 10>going to be able to get in a lot of

1:35:05.600 --> 1:35:08.479
<v Speaker 10>more as set. You know, something that sells millions of

1:35:08.520 --> 1:35:12.360
<v Speaker 10>copies and speaks to people in their hearts for twenty

1:35:12.479 --> 1:35:17.400
<v Speaker 10>thirty forty years at jingle Yes, a commercial okay, but

1:35:17.720 --> 1:35:18.000
<v Speaker 10>you're not.

1:35:18.040 --> 1:35:21.759
<v Speaker 13>Going to be able to really move people time soccer program.

1:35:22.280 --> 1:35:25.000
<v Speaker 13>I've got two responds to that. First of all, AI

1:35:25.160 --> 1:35:27.560
<v Speaker 13>is actually not that new. What's new is you know,

1:35:27.840 --> 1:35:30.439
<v Speaker 13>completely generative AI. But AI has been around in the

1:35:30.520 --> 1:35:33.840
<v Speaker 13>music industran elsewhere for decades. Brian Eno back in nineteen

1:35:33.920 --> 1:35:37.360
<v Speaker 13>ninety six, not to date myself, you know, talked about

1:35:37.439 --> 1:35:41.000
<v Speaker 13>he actually put out an album and talked about AI music.

1:35:41.280 --> 1:35:44.560
<v Speaker 13>And it's been, as you said, drum kits, synthesizers, you know,

1:35:44.720 --> 1:35:48.360
<v Speaker 13>voice modulation. So it's been around for a long time.

1:35:48.400 --> 1:35:50.960
<v Speaker 13>What's the game changers? Predictive? But to your point about

1:35:51.040 --> 1:35:53.519
<v Speaker 13>not being able to replace it, I'm reminded. I was

1:35:53.560 --> 1:35:56.640
<v Speaker 13>in an industry event just two days ago here in

1:35:57.880 --> 1:36:01.520
<v Speaker 13>New York and Joe Walsh speaking of the Eagles genius

1:36:01.760 --> 1:36:02.920
<v Speaker 13>Joe Walsh, I saw.

1:36:03.640 --> 1:36:05.920
<v Speaker 3>An award and big time love of Stevie Nicks by

1:36:05.920 --> 1:36:07.120
<v Speaker 3>the way, yes, well.

1:36:06.960 --> 1:36:10.800
<v Speaker 4>Who doesn't I know? And he had a great quote

1:36:10.840 --> 1:36:12.400
<v Speaker 4>that stuck with me. He's talked about.

1:36:12.160 --> 1:36:14.360
<v Speaker 13>AI briefly when he was giving this award, and he said, look,

1:36:14.400 --> 1:36:16.800
<v Speaker 13>you know, we're all being told that the future is AI,

1:36:17.040 --> 1:36:19.639
<v Speaker 13>and pretty soon hits are going to be shot from

1:36:19.720 --> 1:36:22.040
<v Speaker 13>these you know, digital canons at the speed of sound,

1:36:22.040 --> 1:36:24.920
<v Speaker 13>and we're all going to become obsolete. Needless to say,

1:36:25.120 --> 1:36:27.360
<v Speaker 13>Joe Walsh. Walsh thought that was a lot of bs,

1:36:27.439 --> 1:36:29.000
<v Speaker 13>and he had a quote that I will never forget.

1:36:29.120 --> 1:36:31.160
<v Speaker 13>He said, he said all of that, and he said,

1:36:31.200 --> 1:36:35.000
<v Speaker 13>you know what, you can't program the gift.

1:36:34.840 --> 1:36:38.040
<v Speaker 4>Of a songwriter or the soul of an artist. I

1:36:38.120 --> 1:36:40.280
<v Speaker 4>agree one percent. And that is exactly the thing about

1:36:40.320 --> 1:36:42.920
<v Speaker 4>Midnight in Harlem, Carol.

1:36:43.040 --> 1:36:46.400
<v Speaker 10>You know Susan Tadashi and Derek Trumps, they have such

1:36:46.439 --> 1:36:49.479
<v Speaker 10>a unique sound and the way they work as artists

1:36:49.720 --> 1:36:53.040
<v Speaker 10>and the way they work together, that just I don't

1:36:53.080 --> 1:36:56.920
<v Speaker 10>believe that a computer program, whether it's generative or not,

1:36:57.320 --> 1:36:58.040
<v Speaker 10>can replace that.

1:36:58.760 --> 1:36:58.920
<v Speaker 11>Now.

1:36:59.320 --> 1:37:01.519
<v Speaker 3>I guess what I'm saying is that they could maybe

1:37:01.680 --> 1:37:04.880
<v Speaker 3>create a song. I'm not necessarily saying like that what

1:37:04.960 --> 1:37:07.600
<v Speaker 3>you get in a live element or you know, performers

1:37:08.080 --> 1:37:11.080
<v Speaker 3>singing together, like there's something that's magical. But I do

1:37:11.280 --> 1:37:15.200
<v Speaker 3>think you could use AI easily, machine learning generative AI

1:37:15.640 --> 1:37:17.960
<v Speaker 3>to help fill out a song full about lyrics.

1:37:18.000 --> 1:37:20.360
<v Speaker 13>Absolutely, And actually, Caroll, that's a great point AI. A

1:37:20.439 --> 1:37:22.640
<v Speaker 13>lot of the industry also sees the all of the

1:37:22.720 --> 1:37:24.439
<v Speaker 13>industry sees the upside of AI. Let me tell you

1:37:24.520 --> 1:37:25.160
<v Speaker 13>some of the pots I.

1:37:25.160 --> 1:37:27.680
<v Speaker 3>Want AI, right, Matt, We want to do ourselves.

1:37:27.400 --> 1:37:30.639
<v Speaker 10>Want jobs, so many use cases. I think it would help,

1:37:30.720 --> 1:37:32.040
<v Speaker 10>but I don't think it's going to place.

1:37:32.320 --> 1:37:34.120
<v Speaker 4>You know, you know what I want. I want, AI

1:37:34.320 --> 1:37:34.479
<v Speaker 4>like it.

1:37:34.560 --> 1:37:36.639
<v Speaker 13>You know, the new Indiana Jones movie that is coming out.

1:37:36.760 --> 1:37:39.320
<v Speaker 13>The first segment of that of that film, they have

1:37:39.479 --> 1:37:45.799
<v Speaker 13>taken the practically unlimited tapes and videos from earlier Indiana

1:37:45.880 --> 1:37:50.280
<v Speaker 13>Jones and they de aged him Indiana Jones, not Sean Harrison.

1:37:50.360 --> 1:37:54.080
<v Speaker 13>For that's what I want, in fact, the past. In fact,

1:37:54.120 --> 1:37:56.360
<v Speaker 13>if you're putting this on on on webcasts, can you

1:37:56.439 --> 1:37:58.600
<v Speaker 13>do that to me before post production? That be, But

1:37:58.680 --> 1:37:59.840
<v Speaker 13>there's other things AI can do.

1:38:00.280 --> 1:38:03.320
<v Speaker 3>John Lennon, you know, AI Paul McCartney talking about it

1:38:03.400 --> 1:38:05.960
<v Speaker 3>and being able to extricate, you know, some of his

1:38:06.200 --> 1:38:09.639
<v Speaker 3>voice from a demo about two years before he died

1:38:09.640 --> 1:38:10.400
<v Speaker 3>in nineteen.

1:38:10.160 --> 1:38:11.760
<v Speaker 4>Eighty Music Resurrection.

1:38:11.920 --> 1:38:14.439
<v Speaker 13>They think, for those of you who don't know, I mean,

1:38:14.680 --> 1:38:18.000
<v Speaker 13>they're pulling out from a demo tape and they're going

1:38:18.080 --> 1:38:21.479
<v Speaker 13>to release the Beatles last record. They haven't said, no

1:38:21.560 --> 1:38:23.640
<v Speaker 13>one is, They haven't officially said what the title of

1:38:23.720 --> 1:38:25.280
<v Speaker 13>the of the record is, but a lot.

1:38:25.200 --> 1:38:27.040
<v Speaker 3>Of them are predicting John Lennon.

1:38:27.240 --> 1:38:29.760
<v Speaker 13>Well, it's done with John Lennon's permission. It's done with

1:38:30.080 --> 1:38:32.320
<v Speaker 13>it's done, you know, with his estates permission, and you.

1:38:32.320 --> 1:38:32.720
<v Speaker 4>Get it run.

1:38:32.760 --> 1:38:33.280
<v Speaker 1>We got it run.

1:38:33.439 --> 1:38:35.519
<v Speaker 3>Thank you so much of a great weekend cover much.

1:38:36.160 --> 1:38:36.760
<v Speaker 3>This is the.

1:38:36.800 --> 1:38:40.960
<v Speaker 1>Bloomberg Business Week Podcast, a little of Apple, Spotify, and

1:38:41.160 --> 1:38:44.879
<v Speaker 1>anywhere else you get your podcasts. Listen live each weekday

1:38:44.920 --> 1:38:47.600
<v Speaker 1>is starting at two pm Eastern on Bloomberg.

1:38:47.200 --> 1:38:50.479
<v Speaker 2>Dot com, the iHeartRadio app, tune In, and the Bloomberg

1:38:50.560 --> 1:38:51.120
<v Speaker 2>Business app.

1:38:51.320 --> 1:38:54.040
<v Speaker 1>You can also watch us live on Bloomberg Quick Take

1:38:54.280 --> 1:38:57.599
<v Speaker 1>every weekday on YouTube and always on the Bloomberg terminal