WEBVTT - US Consumer Sentiment Rises For First Time in Five Months

0:00:02.920 --> 0:00:07.240
<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

0:00:09.960 --> 0:00:13.840
<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:00:13.920 --> 0:00:17.280
<v Speaker 2>weekdays at ten am Eastern on apocarplaying and broud Auto

0:00:17.360 --> 0:00:20.280
<v Speaker 2>with the Bloomberg Business App. Listen on demand wherever you

0:00:20.320 --> 0:00:24.000
<v Speaker 2>get your podcasts, or watch us live on YouTube.

0:00:24.920 --> 0:00:28.360
<v Speaker 3>Let's get more on you Mish my favorite indicator. Joanshu Is,

0:00:28.480 --> 0:00:32.120
<v Speaker 3>University of Michigan, Surveys of Consumer Director breaking down these

0:00:32.200 --> 0:00:35.800
<v Speaker 3>numbers for us, Joanne, it feels like it's a non mover. Really,

0:00:35.920 --> 0:00:38.400
<v Speaker 3>like everything is status quo. Can you walk me through

0:00:38.400 --> 0:00:41.040
<v Speaker 3>what you see in these numbers? Absolutely so.

0:00:41.159 --> 0:00:44.960
<v Speaker 4>Overall it is essentially flat from last from last month. However,

0:00:45.040 --> 0:00:48.560
<v Speaker 4>that does obscure some pretty substantial movements within the population.

0:00:49.479 --> 0:00:51.559
<v Speaker 3>First of all, you know, election news has.

0:00:51.400 --> 0:00:53.960
<v Speaker 4>Been really dominating the headlines, and we see that in

0:00:53.960 --> 0:00:58.040
<v Speaker 4>our data. Sentiment for Democrats improved six percent this month,

0:00:58.080 --> 0:01:00.800
<v Speaker 4>but this ended up being offset by a five decline

0:01:01.120 --> 0:01:06.240
<v Speaker 4>for Republicans. And these movements were entirely in expectations, which

0:01:07.080 --> 0:01:10.479
<v Speaker 4>is sensible given that you know, election developments. Kamala Harris

0:01:10.520 --> 0:01:14.560
<v Speaker 4>becoming the new nominee for the Democrats is not something

0:01:14.600 --> 0:01:17.840
<v Speaker 4>that affects current assessments, But is something that affects people's

0:01:17.840 --> 0:01:19.319
<v Speaker 4>outlook for the future, and.

0:01:19.280 --> 0:01:21.240
<v Speaker 5>How can we expect that to evolve as we get

0:01:21.280 --> 0:01:22.080
<v Speaker 5>closer to the election.

0:01:22.160 --> 0:01:24.160
<v Speaker 6>Since we are still only in mid August.

0:01:24.560 --> 0:01:27.080
<v Speaker 4>It's going to be volatile, or that's what I would expect.

0:01:27.720 --> 0:01:31.280
<v Speaker 4>So far, consumers are really folding in who they think

0:01:31.360 --> 0:01:33.240
<v Speaker 4>is going to win the election. But of course, as

0:01:33.240 --> 0:01:37.720
<v Speaker 4>the campaign season evolves, people's expectations for the election are

0:01:37.760 --> 0:01:41.080
<v Speaker 4>going to change, and as such their their future expectations

0:01:41.080 --> 0:01:42.600
<v Speaker 4>for the macroeconomy will as well.

0:01:43.040 --> 0:01:44.720
<v Speaker 3>What are some of the other things that you noticed,

0:01:45.120 --> 0:01:48.400
<v Speaker 3>just in terms of either future expectation or current conditions,

0:01:48.400 --> 0:01:49.600
<v Speaker 3>I should say which did improve?

0:01:51.360 --> 0:01:55.160
<v Speaker 4>Yeah, current conditions really didn't move much at all, and

0:01:55.240 --> 0:01:58.040
<v Speaker 4>if anything, it edged down just a little bit. Consumers

0:01:58.080 --> 0:02:01.640
<v Speaker 4>continue to be very frustrated by hype prices that continues

0:02:01.680 --> 0:02:04.640
<v Speaker 4>to be top of mind. At the same time, consumers

0:02:04.680 --> 0:02:08.840
<v Speaker 4>do expect inflation to continue stabilizing. They've been already. They

0:02:08.880 --> 0:02:11.440
<v Speaker 4>weren't really reacting to a CPI print or any data

0:02:11.440 --> 0:02:14.040
<v Speaker 4>that came out this month. They were really already folding

0:02:14.040 --> 0:02:18.919
<v Speaker 4>in their experiences throughout the month, their own experiences shopping

0:02:19.000 --> 0:02:20.679
<v Speaker 4>and seeing the prices around them.

0:02:20.880 --> 0:02:23.760
<v Speaker 5>And just looking at the report, so we see thirty

0:02:23.760 --> 0:02:26.840
<v Speaker 5>five percent respondents expect unemployment rate to rise in the

0:02:26.880 --> 0:02:30.160
<v Speaker 5>coming year. Growing number expect interest rates to pull back.

0:02:30.360 --> 0:02:33.720
<v Speaker 5>How does that kind of impact consumer sentiment and kind

0:02:33.760 --> 0:02:36.240
<v Speaker 5>of where we could be in the coming months.

0:02:37.080 --> 0:02:39.919
<v Speaker 4>So consumers aren't really that concerned right now that labor

0:02:39.960 --> 0:02:42.760
<v Speaker 4>markets may be softening. So the thirty five percent expecting

0:02:42.840 --> 0:02:45.960
<v Speaker 4>unemployment rates to go up, that's unchanged from last month,

0:02:46.400 --> 0:02:50.520
<v Speaker 4>So that's pretty stable. Income expectations have edged up, improved

0:02:50.560 --> 0:02:52.720
<v Speaker 4>just a little bit, or have gone sideways. There's no

0:02:52.840 --> 0:02:57.240
<v Speaker 4>weakening in consumer views of labor markets in August. That

0:02:57.360 --> 0:03:00.520
<v Speaker 4>being said, strength and labor markets is precisely It has

0:03:00.880 --> 0:03:04.880
<v Speaker 4>supported robust consumer spending over the last two years in

0:03:04.880 --> 0:03:07.440
<v Speaker 4>spite of the fact that consumers don't feel like they're thriving.

0:03:07.680 --> 0:03:10.079
<v Speaker 4>And so if there is some unraveling in labor markets,

0:03:10.120 --> 0:03:12.720
<v Speaker 4>some softening in labor markets, I would expect consumers to

0:03:12.760 --> 0:03:13.480
<v Speaker 4>pull back.

0:03:13.320 --> 0:03:16.960
<v Speaker 3>All right, Joan, that being yeah, oh no, finish up. Sorry, yeah.

0:03:17.000 --> 0:03:20.399
<v Speaker 4>And part of the reason why that consumers I think

0:03:20.520 --> 0:03:22.840
<v Speaker 4>feel some confidence about labor markets is that they do

0:03:22.919 --> 0:03:25.480
<v Speaker 4>expect interest rates to come down in the year ahead.

0:03:25.400 --> 0:03:27.160
<v Speaker 3>Which leads us right back to the FED. Hey, Joanne,

0:03:27.160 --> 0:03:28.960
<v Speaker 3>we do appreciate it, thank you very much. Joining to

0:03:29.280 --> 0:03:32.080
<v Speaker 3>the University of Michigan Surveys of Consumer Director. Joining us

0:03:32.080 --> 0:03:34.680
<v Speaker 3>on those numbers, A sentiment came in a touch better,

0:03:34.920 --> 0:03:38.400
<v Speaker 3>current conditions a touch flower, and expectations a touch higher

0:03:38.760 --> 0:03:39.280
<v Speaker 3>as well.

0:03:40.880 --> 0:03:44.760
<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:03:44.840 --> 0:03:48.360
<v Speaker 2>weekdays at ten am Eastern on applecar Play and Android

0:03:48.400 --> 0:03:51.160
<v Speaker 2>Auto with the Bloomberg Business App. You can also listen

0:03:51.280 --> 0:03:54.360
<v Speaker 2>live on Amazon Alexa from our flagship New York station.

0:03:54.760 --> 0:03:58.240
<v Speaker 2>Just say Alexa play Bloomberg eleven thirty.

0:03:59.120 --> 0:04:01.920
<v Speaker 3>All right, let's get in here now and talk about

0:04:01.920 --> 0:04:04.840
<v Speaker 3>how you think about these markets after the volatility that

0:04:04.840 --> 0:04:06.440
<v Speaker 3>we've seen the last couple weeks. But if you went

0:04:06.480 --> 0:04:08.760
<v Speaker 3>on vacation two weeks ago and came back now, you

0:04:08.800 --> 0:04:10.480
<v Speaker 3>didn't really miss much at the end of the day,

0:04:10.600 --> 0:04:13.560
<v Speaker 3>which is also kind of crazy. Shana Sissel joins us.

0:04:13.560 --> 0:04:17.000
<v Speaker 3>She's president and CEO of Benri owned Capital Management, and

0:04:17.040 --> 0:04:20.360
<v Speaker 3>she joins us, Now, Shana, isn't that funny two weeks ago.

0:04:20.440 --> 0:04:22.359
<v Speaker 3>It's like it never happened. I mean, that kind of

0:04:22.360 --> 0:04:24.960
<v Speaker 3>rebound in the S and P is quite striking. How

0:04:25.000 --> 0:04:27.320
<v Speaker 3>does that set you up now for the next couple months.

0:04:28.279 --> 0:04:30.200
<v Speaker 7>I always say the best thing we can do for

0:04:30.320 --> 0:04:33.120
<v Speaker 7>clients sometimes is maybe take away their password to their

0:04:33.200 --> 0:04:36.279
<v Speaker 7>brokerage accounts so they're not checking it every day, because

0:04:36.279 --> 0:04:38.400
<v Speaker 7>if they didn't, they would sleep a lot better at

0:04:38.480 --> 0:04:43.040
<v Speaker 7>night for that exact reason. The market has short memory

0:04:43.240 --> 0:04:46.000
<v Speaker 7>these days because we have so much information out there

0:04:46.000 --> 0:04:48.800
<v Speaker 7>in the twenty four hour news cycle. But I think

0:04:48.800 --> 0:04:53.760
<v Speaker 7>the volatility, you know, Professor Siegel was on another network

0:04:53.920 --> 0:04:56.880
<v Speaker 7>earlier this week taking back everything he said when the

0:04:56.920 --> 0:05:01.000
<v Speaker 7>panic set in, and if the professionals that but you know,

0:05:01.160 --> 0:05:07.760
<v Speaker 7>investors look to for guidance, are inclined to panic, I

0:05:07.800 --> 0:05:09.839
<v Speaker 7>think that that says a lot about kind of the

0:05:09.960 --> 0:05:14.960
<v Speaker 7>overall sentiment and psychology of the market right now. So

0:05:15.200 --> 0:05:18.679
<v Speaker 7>it doesn't surprise me that, you know, as information became available,

0:05:18.760 --> 0:05:21.920
<v Speaker 7>people stopped freaking out about the end carry trade. But

0:05:21.960 --> 0:05:23.640
<v Speaker 7>it doesn't change the fact that we are in a

0:05:23.640 --> 0:05:28.000
<v Speaker 7>slowing economy. We've had good data, and so I think

0:05:28.080 --> 0:05:30.520
<v Speaker 7>people feel confident the FED is definitely going to cut

0:05:30.520 --> 0:05:34.200
<v Speaker 7>twenty five basis points in September, and I think that

0:05:34.440 --> 0:05:38.120
<v Speaker 7>if you are a long term investor that there's some

0:05:38.200 --> 0:05:41.680
<v Speaker 7>opportunities when people freak out like that to take advantage of,

0:05:42.839 --> 0:05:45.120
<v Speaker 7>you know, the psychology of the market and buy things

0:05:45.120 --> 0:05:45.880
<v Speaker 7>at a discount.

0:05:46.320 --> 0:05:49.599
<v Speaker 5>Shanna Jackson Hole next week, What are you looking for

0:05:49.640 --> 0:05:51.600
<v Speaker 5>from j Powell? What can you say that can either

0:05:51.760 --> 0:05:53.640
<v Speaker 5>reinforce the view that we're going to get a twenty

0:05:53.640 --> 0:05:56.039
<v Speaker 5>five if not a fifty basis point cut, or could

0:05:56.040 --> 0:05:58.320
<v Speaker 5>he even kind of throw a wrench into things and

0:05:58.640 --> 0:06:00.560
<v Speaker 5>maybe push that for they're out again.

0:06:01.680 --> 0:06:03.719
<v Speaker 7>I can't imagine where he's going to throw a wrench

0:06:03.760 --> 0:06:07.840
<v Speaker 7>in things. I do think that fifty base points is

0:06:07.880 --> 0:06:12.640
<v Speaker 7>a stretch. There's not enough data that suggests that we

0:06:12.760 --> 0:06:16.120
<v Speaker 7>need to do a larger than expected cut, and I

0:06:16.160 --> 0:06:19.600
<v Speaker 7>think the Fed is cautious to not do something so

0:06:20.600 --> 0:06:27.279
<v Speaker 7>abrupt and significant that it would upset the overall market sentiments.

0:06:27.360 --> 0:06:31.080
<v Speaker 7>As I've noted a couple of times, does matter, and

0:06:31.400 --> 0:06:35.520
<v Speaker 7>I expect that he will continue the same narrative that

0:06:35.560 --> 0:06:38.839
<v Speaker 7>he's had for quite some time, which is that the

0:06:38.920 --> 0:06:44.680
<v Speaker 7>economy is stable, it's doing okay. That data shows that

0:06:44.720 --> 0:06:48.720
<v Speaker 7>it's slowing down and softening, but not of concern, and

0:06:48.920 --> 0:06:51.720
<v Speaker 7>it supports a twenty five base point cut, and I

0:06:51.760 --> 0:06:55.200
<v Speaker 7>think that's what he'll continue to say. I've watched him

0:06:55.200 --> 0:06:57.640
<v Speaker 7>long enough now to know that he's not one to

0:06:57.800 --> 0:07:01.440
<v Speaker 7>like very quickly change his tone. Last time he was

0:07:01.480 --> 0:07:05.719
<v Speaker 7>out speaking, he was, you know, not necessarily overly dubvish,

0:07:05.720 --> 0:07:11.440
<v Speaker 7>and I don't expect him to suddenly become overly duvish.

0:07:09.800 --> 0:07:14.280
<v Speaker 3>Which to be fair, most other ex FRED presidents aren't either.

0:07:14.440 --> 0:07:16.320
<v Speaker 3>So there's that as well. So we're kind of like

0:07:16.400 --> 0:07:18.520
<v Speaker 3>wrapping up the earning season. We got some retail that's

0:07:18.520 --> 0:07:20.280
<v Speaker 3>trickling out obviously in video is going to be a

0:07:20.280 --> 0:07:23.679
<v Speaker 3>big event at the end of August. But what stocks

0:07:23.680 --> 0:07:25.800
<v Speaker 3>do you like after we're kind of past the real

0:07:25.880 --> 0:07:28.640
<v Speaker 3>hump of earning season headed into an election cycle or

0:07:28.680 --> 0:07:30.200
<v Speaker 3>policy will be very unclear.

0:07:31.680 --> 0:07:34.480
<v Speaker 7>Yeah, So I have kind of a wide variety of

0:07:34.720 --> 0:07:38.160
<v Speaker 7>different types of stocks that I like. You know, I

0:07:38.880 --> 0:07:43.920
<v Speaker 7>like a name like Atlas Holdings, which is Ensure, a

0:07:43.920 --> 0:07:48.800
<v Speaker 7>commercial insurance firm, followed it for a while since my

0:07:48.920 --> 0:07:52.880
<v Speaker 7>days at Ariel, and it's a really interesting company with

0:07:52.920 --> 0:07:56.680
<v Speaker 7>a really unique niche that is trading at a discount

0:07:56.720 --> 0:08:01.400
<v Speaker 7>and has some relatively attractive upside. Pretty born, it's in financials.

0:08:01.960 --> 0:08:05.000
<v Speaker 7>You know, so people it's not sexy like in video

0:08:05.120 --> 0:08:09.240
<v Speaker 7>or any of the AI plays. V RT is an

0:08:09.280 --> 0:08:14.000
<v Speaker 7>AI play, but it's a second derivative of traditional AI.

0:08:14.120 --> 0:08:19.160
<v Speaker 7>It's data center cooling, which is really important because in

0:08:20.040 --> 0:08:24.200
<v Speaker 7>you know, this growing AI demand and more and more

0:08:24.200 --> 0:08:27.520
<v Speaker 7>people looking to incorporate it, you need greater computing power,

0:08:28.320 --> 0:08:31.880
<v Speaker 7>and thus you need a lot stronger or a lot

0:08:31.920 --> 0:08:35.120
<v Speaker 7>more powerful cooling systems, of which v RT can bring

0:08:35.160 --> 0:08:38.120
<v Speaker 7>to the table. I also like Novartists, which is a

0:08:38.120 --> 0:08:40.320
<v Speaker 7>healthcare company. So I'm a little all over the place,

0:08:41.240 --> 0:08:43.760
<v Speaker 7>happy to go down any one of those roads for you.

0:08:44.000 --> 0:08:47.319
<v Speaker 7>But yeah, I'm trying. I am trying to find ideas

0:08:47.520 --> 0:08:52.520
<v Speaker 7>outside of what has been the hot trend because you

0:08:52.600 --> 0:08:55.320
<v Speaker 7>want to get into other areas when you start to

0:08:55.320 --> 0:08:57.680
<v Speaker 7>see dispersion of returns, which we have seen a little

0:08:57.679 --> 0:09:01.160
<v Speaker 7>bit of, and you want to take advantage of opportunities

0:09:01.200 --> 0:09:02.800
<v Speaker 7>to be a stock picker.

0:09:03.280 --> 0:09:05.080
<v Speaker 5>So yeah, I guess kind of when you look at

0:09:05.080 --> 0:09:07.600
<v Speaker 5>how you're playing AI. You mentioned Verdev. I covered them

0:09:07.800 --> 0:09:10.160
<v Speaker 5>when they went public through a spac so you're looking

0:09:10.160 --> 0:09:12.400
<v Speaker 5>at kind of these derivative plays when you're thinking about

0:09:12.520 --> 0:09:15.120
<v Speaker 5>implementation of artificial intelligence and who can be the winners

0:09:15.240 --> 0:09:16.040
<v Speaker 5>or losers.

0:09:16.640 --> 0:09:20.840
<v Speaker 7>Yeah, that's exactly what I'm doing. I'm someone who's followed

0:09:20.880 --> 0:09:23.360
<v Speaker 7>and loved in video and been talking about in VideA

0:09:23.440 --> 0:09:28.120
<v Speaker 7>now for years, and it has served me well. You know,

0:09:28.160 --> 0:09:31.679
<v Speaker 7>I've made a lot of money for clients and in

0:09:31.679 --> 0:09:35.240
<v Speaker 7>that stock, and I'm still very much bullish on the stock.

0:09:35.280 --> 0:09:37.840
<v Speaker 7>I think the trends are very favorable for the long term,

0:09:37.840 --> 0:09:41.400
<v Speaker 7>and we're still very early in the AI cycle. That said,

0:09:42.200 --> 0:09:44.640
<v Speaker 7>I don't think it can maintain the growth rate that

0:09:44.679 --> 0:09:46.560
<v Speaker 7>it's had going forward.

0:09:46.600 --> 0:09:46.760
<v Speaker 6>Now.

0:09:46.800 --> 0:09:50.120
<v Speaker 7>One hundred percent growth is still really impressive, but when

0:09:50.160 --> 0:09:53.560
<v Speaker 7>you were at three hundred percent growth, it it feels

0:09:53.559 --> 0:09:56.439
<v Speaker 7>a little disappointing. And and so I'm trying to find

0:09:56.559 --> 0:10:00.200
<v Speaker 7>other ideas that will benefit from AI. Vertiv is one

0:10:00.280 --> 0:10:03.280
<v Speaker 7>of them. I've talked a little bit about Cisco in

0:10:03.320 --> 0:10:05.120
<v Speaker 7>the past, and i know they're all in the news

0:10:05.160 --> 0:10:09.000
<v Speaker 7>with the announcement of their layoffs, but that's another player

0:10:09.040 --> 0:10:12.160
<v Speaker 7>that has some second derivative exposure in AI as well,

0:10:13.200 --> 0:10:18.400
<v Speaker 7>and trading very cheaply and obviously making so interesting, unattractive

0:10:18.880 --> 0:10:24.920
<v Speaker 7>or unpopular decisions internally, but typically those decisions are made

0:10:25.480 --> 0:10:30.200
<v Speaker 7>to improve overall financial performance. So that's another name, but

0:10:30.520 --> 0:10:33.600
<v Speaker 7>it's not on my by list. But it isn't another

0:10:33.720 --> 0:10:36.240
<v Speaker 7>like second derivative play And that's kind of what you

0:10:36.280 --> 0:10:37.360
<v Speaker 7>have to look at at this point.

0:10:37.679 --> 0:10:40.720
<v Speaker 3>Heyhana really appreciate it. That's such a great point about Cisco.

0:10:40.720 --> 0:10:44.880
<v Speaker 3>Shana Sizzel joining us. She's president CEO of Benrionna Capital

0:10:45.040 --> 0:10:46.839
<v Speaker 3>Management joining us.

0:10:46.880 --> 0:10:52.080
<v Speaker 2>There you're listening to the Bloomberg Intelligence Podcast. Catch us

0:10:52.120 --> 0:10:55.040
<v Speaker 2>live weekdays at ten am Eastern on Effo card Play

0:10:55.040 --> 0:10:57.600
<v Speaker 2>and then Broud Auto with the Bloomberg Business app. Listen

0:10:57.679 --> 0:11:00.800
<v Speaker 2>on demand wherever you get your podcasts a watch us

0:11:00.840 --> 0:11:02.559
<v Speaker 2>live on YouTube.

0:11:03.480 --> 0:11:06.199
<v Speaker 3>I'm Alex Steel alongside Bailly Lipschutz. Paul Sweeney is setting

0:11:06.240 --> 0:11:08.640
<v Speaker 3>himself at the beach today. This is Bloomberg Intelligence Radio.

0:11:08.679 --> 0:11:10.480
<v Speaker 3>We bring you all the top news in business and

0:11:10.520 --> 0:11:13.840
<v Speaker 3>finance and economics through our lens of our Bloomberg Intelligence analysts.

0:11:13.840 --> 0:11:16.080
<v Speaker 3>They covered two thousand companies and one hundred and thirty

0:11:16.120 --> 0:11:19.480
<v Speaker 3>industries all around the world. One topic we wanted to

0:11:19.520 --> 0:11:23.360
<v Speaker 3>tackle today was empox. So the who declared a fast

0:11:23.440 --> 0:11:27.000
<v Speaker 3>spreading empox outbreak in Africa a global health emergency as

0:11:27.000 --> 0:11:29.679
<v Speaker 3>the agency seeks to contain the spread of the potentially

0:11:29.760 --> 0:11:34.200
<v Speaker 3>deadly virus. WHO Director General sounded that alarm at a

0:11:34.200 --> 0:11:35.440
<v Speaker 3>press conference on Wednesday.

0:11:36.040 --> 0:11:39.120
<v Speaker 8>WHR has been working on the mpox outbreak in Africa

0:11:39.160 --> 0:11:42.440
<v Speaker 8>and raising the alarm that this is something that should

0:11:42.520 --> 0:11:47.280
<v Speaker 8>concern us all. The Emergency Committee met and advised me

0:11:47.640 --> 0:11:52.640
<v Speaker 8>that in its view, the situation constitutes a publical emergency

0:11:52.679 --> 0:11:55.920
<v Speaker 8>of international concern joining us.

0:11:55.920 --> 0:11:56.040
<v Speaker 4>Now.

0:11:56.080 --> 0:11:59.440
<v Speaker 3>Sam Fazzelli, Bloomberg Intelligence director of Research for Global Industries

0:11:59.440 --> 0:12:03.160
<v Speaker 3>and senior Forharmaceuticals analyst, is standing by. I hear you're

0:12:03.200 --> 0:12:06.040
<v Speaker 3>in Bordeaux. I can only assume there's a lot of

0:12:06.040 --> 0:12:07.040
<v Speaker 3>work happening there.

0:12:08.080 --> 0:12:11.240
<v Speaker 9>Oh lots, Alex, lots. I haven't moved from this seat

0:12:11.280 --> 0:12:12.640
<v Speaker 9>for the past seven hours.

0:12:12.840 --> 0:12:15.560
<v Speaker 3>I mean, he could be telling the truth. Hey, Sam,

0:12:15.600 --> 0:12:18.400
<v Speaker 3>when I have you? I assume when I heard the

0:12:18.440 --> 0:12:21.200
<v Speaker 3>Empire's headline, I was like, I gotta get Sam on,

0:12:22.200 --> 0:12:25.080
<v Speaker 3>give us the basics, like what is it and how

0:12:25.160 --> 0:12:25.959
<v Speaker 3>dangerous is it?

0:12:27.720 --> 0:12:27.920
<v Speaker 5>Yeah?

0:12:28.000 --> 0:12:32.760
<v Speaker 9>So, Alex, I think when the WHO Director General declares

0:12:32.840 --> 0:12:38.520
<v Speaker 9>these emergencies, it's that that's already quite a significant and

0:12:38.559 --> 0:12:41.040
<v Speaker 9>important milestone for a disease. And as you know, it

0:12:41.120 --> 0:12:45.200
<v Speaker 9>has already there's been some an individual in Sweden apparently

0:12:45.240 --> 0:12:48.199
<v Speaker 9>there's been diagnosed with it. So and as I said

0:12:48.240 --> 0:12:50.960
<v Speaker 9>all along, infectious diseases are not about a country, they're

0:12:50.960 --> 0:12:54.280
<v Speaker 9>not about a continent. They spread. That's the job of

0:12:54.320 --> 0:12:57.680
<v Speaker 9>an infectious agent. So let's remember that as we talked

0:12:57.720 --> 0:13:00.240
<v Speaker 9>through the rest of this conversation, and what we got

0:13:00.320 --> 0:13:03.000
<v Speaker 9>here is not quite a replay of what we had

0:13:03.000 --> 0:13:06.080
<v Speaker 9>two years ago, which was a slightly different version of

0:13:06.120 --> 0:13:10.680
<v Speaker 9>this monkey pox virus that this is called empox now.

0:13:11.360 --> 0:13:14.400
<v Speaker 9>And the virus comes in two flavors, Played one Clay

0:13:14.480 --> 0:13:18.120
<v Speaker 9>two that kind of looks at it's based on its

0:13:18.160 --> 0:13:21.480
<v Speaker 9>genomic structure, and this particular one is played one, which

0:13:21.520 --> 0:13:29.520
<v Speaker 9>is normally less but often found. I hadn't you know.

0:13:29.559 --> 0:13:32.000
<v Speaker 9>The last one was klay two. And this Klaye one

0:13:32.000 --> 0:13:33.920
<v Speaker 9>has got a major chunk of its genome that's been

0:13:34.000 --> 0:13:36.800
<v Speaker 9>taken out, and those who study these things have been

0:13:36.840 --> 0:13:41.280
<v Speaker 9>writing that it has made it more transmissible through not

0:13:41.559 --> 0:13:46.320
<v Speaker 9>just contact with us, for example, but also through sexual activity,

0:13:46.320 --> 0:13:50.760
<v Speaker 9>which is not what klayed one previously had, but also

0:13:51.000 --> 0:13:55.320
<v Speaker 9>just very close contact. So unlike COVID, if you remember,

0:13:55.320 --> 0:13:57.280
<v Speaker 9>there were stories with COVID where you go into a

0:13:57.320 --> 0:14:01.160
<v Speaker 9>restaurant and you sit diagonally across twenty thirty feet away,

0:14:01.160 --> 0:14:03.160
<v Speaker 9>and you still have a risk of catching it because

0:14:03.160 --> 0:14:07.120
<v Speaker 9>it gets blown around by the air conditioning. I don't

0:14:07.120 --> 0:14:09.240
<v Speaker 9>think we're at that level with empocs yet. I don't

0:14:09.240 --> 0:14:11.800
<v Speaker 9>with this particular clade. Won't be I can't be one

0:14:11.880 --> 0:14:13.920
<v Speaker 9>hundred percent shore, but I don't think it's like that.

0:14:14.320 --> 0:14:16.520
<v Speaker 9>You still do need the close contact, and that's where

0:14:16.600 --> 0:14:19.240
<v Speaker 9>we're That's where my knowledge kind of ends at the minute.

0:14:19.440 --> 0:14:23.239
<v Speaker 9>These viruses do have a nasty habit of bringing surprises

0:14:23.280 --> 0:14:23.600
<v Speaker 9>to us.

0:14:23.800 --> 0:14:26.560
<v Speaker 5>Well, Sam, that's my next question would be how quickly

0:14:26.560 --> 0:14:29.240
<v Speaker 5>can this evolve in what is kind of that look

0:14:29.400 --> 0:14:33.600
<v Speaker 5>like in terms of similarities or differences to as you

0:14:33.640 --> 0:14:37.520
<v Speaker 5>mentioned the twenty twenty two empocs or something that's more

0:14:37.920 --> 0:14:39.840
<v Speaker 5>kind of well not obviously in COVID.

0:14:40.880 --> 0:14:43.160
<v Speaker 9>Yeah. Yeah, So twenty twenty two, we still had ninety

0:14:43.160 --> 0:14:45.360
<v Speaker 9>five thousand people who were infected. It did become a

0:14:45.400 --> 0:14:49.600
<v Speaker 9>major issue in many countries, so let's not forget that.

0:14:49.760 --> 0:14:52.960
<v Speaker 9>And so far from the last count I heard about,

0:14:53.000 --> 0:14:55.760
<v Speaker 9>there's been seventeen and a half thousand infections that have

0:14:55.840 --> 0:15:00.280
<v Speaker 9>been documented in the regions that have reported it. So

0:15:01.600 --> 0:15:03.320
<v Speaker 9>how far can this go? It all depends on that

0:15:03.360 --> 0:15:06.680
<v Speaker 9>mode of transmission. It all depends on Remember the days

0:15:06.680 --> 0:15:09.720
<v Speaker 9>we went from a standard if you want to call it,

0:15:09.760 --> 0:15:15.040
<v Speaker 9>that coronavirus SARSCOBE two to the omicron variant, which had

0:15:15.320 --> 0:15:18.040
<v Speaker 9>so many mutations that made it completely invisible to our

0:15:18.040 --> 0:15:21.840
<v Speaker 9>immune systems, So everybody got another infection round. I'm pretty

0:15:21.880 --> 0:15:24.040
<v Speaker 9>sure you do recall that last lockdown.

0:15:24.120 --> 0:15:26.360
<v Speaker 3>I think it was, Oh, definitely remember all that, zam,

0:15:26.600 --> 0:15:27.160
<v Speaker 3>don't you worry?

0:15:27.240 --> 0:15:29.000
<v Speaker 1>Yeah, But I.

0:15:28.960 --> 0:15:31.240
<v Speaker 9>Mean, it just feels like a really weird period of

0:15:31.280 --> 0:15:34.560
<v Speaker 9>our lives. And so here we have something that if

0:15:34.560 --> 0:15:36.880
<v Speaker 9>the rules are that it plays with us still the

0:15:36.920 --> 0:15:39.960
<v Speaker 9>same as before, it does meet close contact, which means

0:15:40.360 --> 0:15:44.400
<v Speaker 9>you should be able to avoid an infection if you're

0:15:44.560 --> 0:15:47.400
<v Speaker 9>careful enough. The other elements, of course, is that we

0:15:47.480 --> 0:15:51.120
<v Speaker 9>do have vaccines that do work. There is a six

0:15:51.200 --> 0:15:56.840
<v Speaker 9>to seven hundred million stockpile of small pox vaccines around

0:15:57.160 --> 0:16:01.360
<v Speaker 9>both the older generation and new generation, and there are

0:16:01.360 --> 0:16:03.360
<v Speaker 9>two of r n A vaccines in development that could

0:16:03.360 --> 0:16:06.120
<v Speaker 9>be sped up if needed. So we do know that

0:16:06.200 --> 0:16:09.880
<v Speaker 9>vaccination helps, but it does have a higher mortality rate

0:16:11.080 --> 0:16:15.400
<v Speaker 9>standard to even the people who get it that are

0:16:16.040 --> 0:16:18.440
<v Speaker 9>that's not just like elderly people, which was mostly a

0:16:18.480 --> 0:16:21.280
<v Speaker 9>COVID issue than COVID did.

0:16:21.720 --> 0:16:25.440
<v Speaker 3>So it can kill more and it can kill all

0:16:25.440 --> 0:16:27.800
<v Speaker 3>different ranges, not just say the elderly. But we do

0:16:27.880 --> 0:16:29.600
<v Speaker 3>have the vaccine. What about a treatment.

0:16:31.320 --> 0:16:36.000
<v Speaker 9>There was a treatment that actually was being studied by

0:16:36.040 --> 0:16:39.560
<v Speaker 9>a complet called Siga and that just failed in trials

0:16:39.600 --> 0:16:42.120
<v Speaker 9>only two days ago, and it was being tested in

0:16:42.240 --> 0:16:48.800
<v Speaker 9>the Congo and it was being against klayte one. But

0:16:49.040 --> 0:16:51.840
<v Speaker 9>the good, the silver sider, the silver lining of that

0:16:52.040 --> 0:16:54.960
<v Speaker 9>report is that the mortality rate that they came out

0:16:55.000 --> 0:16:57.080
<v Speaker 9>with was lower than what people talk about. People talk

0:16:57.120 --> 0:16:59.840
<v Speaker 9>about three to six percent, but in that trial, mortality

0:17:00.200 --> 0:17:03.720
<v Speaker 9>like not small one and a half one point seven

0:17:03.760 --> 0:17:07.960
<v Speaker 9>percent from what I have read. So that does give

0:17:08.000 --> 0:17:11.200
<v Speaker 9>you a little flavor as to maybe it's not as bad,

0:17:11.240 --> 0:17:13.480
<v Speaker 9>but it's obviously one point six one point seven percent

0:17:13.520 --> 0:17:15.040
<v Speaker 9>is too pretty awful.

0:17:16.200 --> 0:17:19.160
<v Speaker 5>And Sam, how kind of quickly can some of those

0:17:19.240 --> 0:17:23.040
<v Speaker 5>vaccinations be deployed? Is that something that's already playing out

0:17:23.119 --> 0:17:26.680
<v Speaker 5>right now? Is that being centered primarily where the heart

0:17:26.680 --> 0:17:28.359
<v Speaker 5>of the outbreak is is in Congo.

0:17:30.000 --> 0:17:34.040
<v Speaker 9>Yeah, it doesn't sound like it from the latest news

0:17:34.040 --> 0:17:35.960
<v Speaker 9>real force that I've seen that Bloomberg has been doing

0:17:35.960 --> 0:17:39.680
<v Speaker 9>a great job of talking about that. Apparently there've been

0:17:39.720 --> 0:17:42.000
<v Speaker 9>discussions because this has been not this is not something

0:17:42.040 --> 0:17:44.679
<v Speaker 9>that happened overnight. It's been going on at least in

0:17:44.720 --> 0:17:47.600
<v Speaker 9>the Congo unfortunately for a few months, and that there's

0:17:47.600 --> 0:17:53.199
<v Speaker 9>been discussions between groups that provide the vaccines and the Congo,

0:17:53.320 --> 0:17:57.000
<v Speaker 9>and they hadn't got to a the last I read

0:17:57.400 --> 0:18:00.520
<v Speaker 9>to a to an agreement of getting those vacks nations

0:18:00.560 --> 0:18:03.200
<v Speaker 9>out and getting it to people. Let's not forget we've

0:18:03.280 --> 0:18:07.280
<v Speaker 9>learned this. Anywhere you go, having vaccine is not equal

0:18:07.280 --> 0:18:10.560
<v Speaker 9>to people having it in their arms. The more difficult

0:18:11.640 --> 0:18:15.480
<v Speaker 9>a country, a region, reaching people in rural areas, et cetera,

0:18:15.720 --> 0:18:19.440
<v Speaker 9>is cold chain necessities, et cetera. The more difficult that is,

0:18:19.680 --> 0:18:22.520
<v Speaker 9>the fewer people will actually be vaccinated. So that's two

0:18:22.520 --> 0:18:25.560
<v Speaker 9>different things here. But I'm confident that we can have

0:18:25.640 --> 0:18:28.680
<v Speaker 9>enough vaccines to ring fence at least infections and areas

0:18:28.720 --> 0:18:32.200
<v Speaker 9>and travelers. But in order to go into the hundreds

0:18:32.240 --> 0:18:34.320
<v Speaker 9>of millions of doses, I think we need the m

0:18:34.400 --> 0:18:35.320
<v Speaker 9>RNAs to get going.

0:18:35.600 --> 0:18:37.680
<v Speaker 3>It's such a good point, Sam, that's why you're the best. Hey,

0:18:37.680 --> 0:18:39.199
<v Speaker 3>Before we let you go. I just want to hit

0:18:39.200 --> 0:18:41.760
<v Speaker 3>you on this headline here. Pfizer and Beyontech their flu

0:18:41.840 --> 0:18:44.040
<v Speaker 3>covid vaccine failed.

0:18:46.160 --> 0:18:49.640
<v Speaker 9>Well, talking about the mRNA here, it's a complicated thing.

0:18:49.720 --> 0:18:53.879
<v Speaker 9>It was a combination mRNA is against three different types

0:18:53.920 --> 0:18:58.600
<v Speaker 9>of flu and covid, and it failed against one of

0:18:58.640 --> 0:19:01.480
<v Speaker 9>the flu variants, which is the or strains, which is

0:19:01.520 --> 0:19:06.600
<v Speaker 9>the influenza B virus in that setting. So they need

0:19:06.640 --> 0:19:09.240
<v Speaker 9>to go back to the growing board and see why.

0:19:09.280 --> 0:19:12.480
<v Speaker 9>That is what is complicated here and we need to

0:19:12.600 --> 0:19:15.639
<v Speaker 9>understand it better. Is that they had a success in

0:19:15.760 --> 0:19:18.359
<v Speaker 9>phase two, then they took the same thing into phase

0:19:18.400 --> 0:19:22.640
<v Speaker 9>three and it failed against the B influenza B. I've

0:19:22.680 --> 0:19:25.680
<v Speaker 9>been out. I've asked a company whether that's because they

0:19:25.720 --> 0:19:29.240
<v Speaker 9>think that the strain changed during the trial. It's possible

0:19:29.280 --> 0:19:31.359
<v Speaker 9>to remember flu is one of those nasty ones that

0:19:31.440 --> 0:19:34.280
<v Speaker 9>changes all the time, and the change matters a lot more,

0:19:34.320 --> 0:19:38.640
<v Speaker 9>I would say, than covid does. So that is what

0:19:39.040 --> 0:19:41.000
<v Speaker 9>that's what happened here, and it does give them a

0:19:41.040 --> 0:19:44.000
<v Speaker 9>disadvantage versus Moderna which had a successful trial.

0:19:44.720 --> 0:19:47.960
<v Speaker 3>Such good perspective, Sam, you are totally the best. Sam Fazelli,

0:19:47.960 --> 0:19:50.800
<v Speaker 3>Boomberg Intelligence, Director of Research, for Global Industries and Senior

0:19:50.840 --> 0:19:54.960
<v Speaker 3>Pharmaceutical joining us from Bordeaux. I look forward to the picture, Sam,

0:19:55.040 --> 0:19:57.960
<v Speaker 3>I require some of that just to see because do

0:19:58.040 --> 0:19:59.679
<v Speaker 3>you make your own wine there? Like do you have

0:20:00.280 --> 0:20:03.240
<v Speaker 3>Oh he's gone, he already left, already, he's back to

0:20:03.240 --> 0:20:06.960
<v Speaker 3>the vineyard. Ah. Same, thanks Sam, I really appreciate that one.

0:20:07.440 --> 0:20:11.320
<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:20:11.400 --> 0:20:14.920
<v Speaker 2>weekdays at ten am Eastern on applecar Play and Android

0:20:14.960 --> 0:20:17.720
<v Speaker 2>Auto with the Bloomberg Business app. You can also listen

0:20:17.840 --> 0:20:20.920
<v Speaker 2>live on Amazon Alexa from our flagship New York station,

0:20:21.320 --> 0:20:24.359
<v Speaker 2>Just say Alexa play Bloomberg eleven thirty.

0:20:25.359 --> 0:20:28.640
<v Speaker 3>Bloomberg Intelligence Radio. We are broadcasting to live from Interactive

0:20:28.640 --> 0:20:31.480
<v Speaker 3>Broker Studio right here in Midtown Manhattan. Also check us

0:20:31.520 --> 0:20:34.159
<v Speaker 3>out on YouTube. But you know, Bailey doesn't have his

0:20:34.280 --> 0:20:36.320
<v Speaker 3>bro vesque, so the appeal for that is a little

0:20:36.359 --> 0:20:40.520
<v Speaker 3>bit less. A Bay Lipshaltz in for Paul Sweeney. So, Bailey,

0:20:40.520 --> 0:20:43.639
<v Speaker 3>I'm an energy geek nerd. I've been covering energy commodities

0:20:43.640 --> 0:20:47.160
<v Speaker 3>for like seventeen and a half years, so welcome. So naturally,

0:20:47.600 --> 0:20:49.440
<v Speaker 3>every once in a while I have an energy guest

0:20:49.480 --> 0:20:52.600
<v Speaker 3>on and this one's actually quite interesting. So it's a

0:20:52.600 --> 0:20:57.280
<v Speaker 3>company called Sigma Lithium. It's ticker SGML trades about nine

0:20:57.320 --> 0:20:59.359
<v Speaker 3>dollars fifty cents a share. It's been a one billion

0:20:59.440 --> 0:21:02.560
<v Speaker 3>dollar company. It's a Canadian company, but it minds in

0:21:02.600 --> 0:21:06.199
<v Speaker 3>Brazil lithium obviously, hence the name, and the idea is

0:21:06.240 --> 0:21:10.040
<v Speaker 3>to basically make green lithium. Can you make it cost

0:21:10.080 --> 0:21:13.440
<v Speaker 3>competitively and how do you bring your own cost down? Now,

0:21:13.480 --> 0:21:16.000
<v Speaker 3>lithium is used in pretty much everything, but in particular

0:21:16.320 --> 0:21:18.560
<v Speaker 3>the batteries for electric vehicles, So if we want to

0:21:18.560 --> 0:21:21.160
<v Speaker 3>make the transition to green, lithium is something that we're

0:21:21.160 --> 0:21:24.080
<v Speaker 3>going to need. But how you green that is definitely

0:21:24.119 --> 0:21:27.080
<v Speaker 3>the question. So joining us now is Anna Cabral. She's

0:21:27.119 --> 0:21:30.919
<v Speaker 3>Signal Lithium co chair and CEO. The company just reported

0:21:30.960 --> 0:21:34.840
<v Speaker 3>earnings yesterday. What stood out to me really was reduced

0:21:34.920 --> 0:21:40.119
<v Speaker 3>cash costs by twenty two percent an increase in margins there.

0:21:40.240 --> 0:21:42.320
<v Speaker 3>So we wanted to get some more insight into how

0:21:42.359 --> 0:21:45.080
<v Speaker 3>all this works, how it is to go green and

0:21:45.119 --> 0:21:47.919
<v Speaker 3>be sustainable mining lithium, and can you sell it for

0:21:48.000 --> 0:21:50.800
<v Speaker 3>what kind of profit? Anna joins us now, Anna, thank

0:21:50.800 --> 0:21:53.040
<v Speaker 3>you so much for joining us. Can you just talk

0:21:53.119 --> 0:21:56.000
<v Speaker 3>us through for those of you who are on energy geeks,

0:21:56.480 --> 0:21:58.520
<v Speaker 3>what the company does and what it's hoping.

0:21:58.280 --> 0:21:58.560
<v Speaker 2>To do.

0:22:00.160 --> 0:22:00.920
<v Speaker 9>Absolutely well.

0:22:01.000 --> 0:22:04.720
<v Speaker 10>Sigma has been is a twelve year old company. We've

0:22:04.760 --> 0:22:08.840
<v Speaker 10>been operating for over a year now. We're celebrating a

0:22:08.920 --> 0:22:12.919
<v Speaker 10>year of shipments, consistent monthly shipments and we ship an

0:22:12.960 --> 0:22:18.280
<v Speaker 10>equivalent amount. We ship approximately two hundred and fifty thousand

0:22:18.280 --> 0:22:21.159
<v Speaker 10>tons to two hundred and seven thousand tons annually, twenty

0:22:21.160 --> 0:22:24.959
<v Speaker 10>two thousand tons monthly, which translated into a chemical measure,

0:22:25.560 --> 0:22:29.119
<v Speaker 10>is the equivalent of approximately thirty eight thousand tons of

0:22:29.200 --> 0:22:32.240
<v Speaker 10>letum carbonate equivalent. So that's what we do. This is

0:22:32.240 --> 0:22:36.560
<v Speaker 10>who we are. We have shoe operations. They're very distinctive,

0:22:36.600 --> 0:22:41.920
<v Speaker 10>but they're vertically integrated. We have a mine the mines

0:22:42.080 --> 0:22:45.919
<v Speaker 10>letium rock, and then that rock gets fed into an

0:22:46.000 --> 0:22:50.000
<v Speaker 10>industrial pre chemical plant where we process that rock into

0:22:50.119 --> 0:22:55.360
<v Speaker 10>letium materials and at that we are producing zero carbon lithium.

0:22:55.720 --> 0:22:57.720
<v Speaker 10>And so we're the only company in the world that

0:22:57.760 --> 0:23:00.520
<v Speaker 10>produces zero carbon litium in scale.

0:23:02.040 --> 0:23:05.760
<v Speaker 5>And how as Alex pointed out, margins look great at

0:23:05.840 --> 0:23:09.280
<v Speaker 5>least according to the results, and cash costs down twenty

0:23:09.280 --> 0:23:09.760
<v Speaker 5>two percent.

0:23:10.119 --> 0:23:10.600
<v Speaker 10>How does that.

0:23:10.560 --> 0:23:13.920
<v Speaker 5>Play out I'm just thinking, if I'm a car manufacturer,

0:23:13.960 --> 0:23:15.840
<v Speaker 5>I probably want the cheapest lithium I can get my

0:23:15.880 --> 0:23:18.440
<v Speaker 5>hands on because I also want to make money.

0:23:19.440 --> 0:23:20.240
<v Speaker 9>That's the whole point.

0:23:20.320 --> 0:23:23.560
<v Speaker 10>There isn't a green premium. We have been able to

0:23:23.600 --> 0:23:27.240
<v Speaker 10>premiumize our product based on different attributes. The product has

0:23:27.240 --> 0:23:32.800
<v Speaker 10>a chemical and a physical characteristic which brings actual measurable

0:23:32.880 --> 0:23:37.320
<v Speaker 10>cost savings of twenty to thirty percent to the supply chain.

0:23:38.040 --> 0:23:40.760
<v Speaker 10>Either the car maker or the battery maker, whomever owns

0:23:40.840 --> 0:23:44.880
<v Speaker 10>the product within the supply chain will benefit from those

0:23:44.920 --> 0:23:49.040
<v Speaker 10>cost savings. That's the basis for premiumization, and we're very

0:23:50.640 --> 0:23:54.360
<v Speaker 10>let's say reasonable about it. We have a commercially win

0:23:54.520 --> 0:23:57.440
<v Speaker 10>commercial win win approach where we take about ten percent

0:23:57.480 --> 0:23:59.520
<v Speaker 10>of that and then the client takes about twenty to

0:23:59.680 --> 0:24:02.160
<v Speaker 10>twenty center of that. So is a win win situation.

0:24:02.200 --> 0:24:05.640
<v Speaker 10>But there's no green premium. Everybody wants it, nobody wants

0:24:05.720 --> 0:24:06.280
<v Speaker 10>to pay.

0:24:06.040 --> 0:24:09.320
<v Speaker 3>For it exactly. That's one hundred percent what I keep

0:24:09.320 --> 0:24:13.560
<v Speaker 3>hearing about as well. So what enabled you to do

0:24:13.640 --> 0:24:17.439
<v Speaker 3>this sustainably in this area? Like is it? Can you

0:24:17.480 --> 0:24:20.719
<v Speaker 3>replicate this anywhere in any mind? And then uh, and

0:24:20.720 --> 0:24:23.720
<v Speaker 3>then concentration facility or was there something specific to this?

0:24:25.040 --> 0:24:27.920
<v Speaker 10>There are number of factors. The first factor, let's talk

0:24:27.920 --> 0:24:30.360
<v Speaker 10>about scope one. When you when you think about the

0:24:30.480 --> 0:24:32.400
<v Speaker 10>common load of a product, can you need to think

0:24:32.440 --> 0:24:35.760
<v Speaker 10>about what goes inside your operations, which is scope one.

0:24:36.240 --> 0:24:40.240
<v Speaker 10>And then the kind of power energy used to to

0:24:40.440 --> 0:24:42.760
<v Speaker 10>run these operations, which is what we call scope two.

0:24:43.040 --> 0:24:45.760
<v Speaker 10>And then the effect that your product is going to

0:24:45.800 --> 0:24:48.680
<v Speaker 10>have in a supply chain, which is scope three. Right,

0:24:48.720 --> 0:24:51.200
<v Speaker 10>which is we're all in guess for example, has a problem.

0:24:51.600 --> 0:24:56.040
<v Speaker 10>So when we when we made this investment here uh

0:24:56.440 --> 0:25:00.240
<v Speaker 10>which which which was now twelve years ago, the objective

0:25:00.400 --> 0:25:04.040
<v Speaker 10>was to reach eventually a point where we will deliver

0:25:04.119 --> 0:25:06.480
<v Speaker 10>the most sustainable litum in the world. We ended up

0:25:06.600 --> 0:25:09.880
<v Speaker 10>going zero CAB, but we started with scope one, meaning

0:25:09.920 --> 0:25:14.199
<v Speaker 10>we designed when we chose technologies and a processing method

0:25:14.720 --> 0:25:17.520
<v Speaker 10>that were not aggressive to the environment, that we're not

0:25:17.640 --> 0:25:23.399
<v Speaker 10>going to leave a serious, unabatable carbon footprints such as

0:25:23.880 --> 0:25:27.640
<v Speaker 10>tailing dams. We have zero tailing dams because we developed

0:25:27.680 --> 0:25:31.639
<v Speaker 10>a dry stacking module. Water. The use of water in

0:25:31.800 --> 0:25:36.119
<v Speaker 10>our industry is highly problematic. We use sewage water and

0:25:36.280 --> 0:25:40.280
<v Speaker 10>we recite, we recycle that water. So we have what

0:25:40.400 --> 0:25:45.120
<v Speaker 10>we call recirculation, reuse of sewage water, so we don't

0:25:45.200 --> 0:25:48.520
<v Speaker 10>use fresh water, so it's zero fresh water, right, So

0:25:48.720 --> 0:25:52.600
<v Speaker 10>these were elements, and then we chose separation methods that

0:25:52.720 --> 0:25:56.320
<v Speaker 10>do not use toxic chemicals, so we have another zero,

0:25:56.400 --> 0:25:59.560
<v Speaker 10>which is zero toxic chemicals. So this all happens in

0:25:59.640 --> 0:26:02.879
<v Speaker 10>that in the stroke QUOD. So then you moved to

0:26:02.920 --> 0:26:06.560
<v Speaker 10>the mind, what is the responsible of carbon footprint inside

0:26:06.560 --> 0:26:08.879
<v Speaker 10>the gate scope? One on the mind is mainly diesel

0:26:09.480 --> 0:26:13.880
<v Speaker 10>and nitrates in explosives a NFO. So we went out

0:26:13.960 --> 0:26:20.679
<v Speaker 10>to minimize that trying to add bland biodiesel, biofuels, biodiesel

0:26:20.720 --> 0:26:26.440
<v Speaker 10>with diesel, and then using electronic triggers electronic explosives to

0:26:26.600 --> 0:26:30.280
<v Speaker 10>minimize the user nitrate, so we obtained a pretty sizable reduction.

0:26:30.880 --> 0:26:34.399
<v Speaker 10>The result of it, right unabated, like the result of

0:26:34.480 --> 0:26:36.480
<v Speaker 10>all of that, after going through the hard to obey

0:26:37.080 --> 0:26:39.080
<v Speaker 10>after all of it, is that we ended up with

0:26:39.640 --> 0:26:43.719
<v Speaker 10>inside one, meaning point twenty six tons of carbon per

0:26:43.800 --> 0:26:47.520
<v Speaker 10>tonnel material. So we did all that work and we

0:26:47.680 --> 0:26:50.119
<v Speaker 10>got to that low level, which meant that then we

0:26:50.160 --> 0:26:52.920
<v Speaker 10>could go out and offset the rest with credits because

0:26:53.000 --> 0:26:55.399
<v Speaker 10>we are inside one, which meant we had to do

0:26:55.520 --> 0:26:59.919
<v Speaker 10>a huge effort to be inside one. Comparing to our

0:27:00.119 --> 0:27:04.800
<v Speaker 10>piers in these salars in South America is typically five

0:27:04.920 --> 0:27:08.240
<v Speaker 10>tons of carbon per ton, and we were a point

0:27:08.320 --> 0:27:11.600
<v Speaker 10>two six and other minds in other parts of the

0:27:11.640 --> 0:27:16.560
<v Speaker 10>world is fifteen tons of carbon in certain high cost

0:27:16.640 --> 0:27:20.240
<v Speaker 10>minds in Asia it's fourty five tons. So uh, it

0:27:20.400 --> 0:27:23.879
<v Speaker 10>wasn't enormous amount of work on Scope one, so scope

0:27:23.920 --> 0:27:25.119
<v Speaker 10>too though, Yeah, no.

0:27:25.160 --> 0:27:28.200
<v Speaker 3>Go ahead, We only have about the thirty forty seconds left.

0:27:28.240 --> 0:27:29.720
<v Speaker 3>But I do want to know if you can replicate

0:27:29.760 --> 0:27:30.360
<v Speaker 3>this elsewhere.

0:27:31.440 --> 0:27:34.120
<v Speaker 10>Well, that's the point. I mean Scope two. We were

0:27:34.160 --> 0:27:36.840
<v Speaker 10>blessed with the grid in Brazil, which meant that, you know,

0:27:37.320 --> 0:27:43.480
<v Speaker 10>we have access to abundant available renewable energy, so that

0:27:43.840 --> 0:27:47.399
<v Speaker 10>also contributes a lot. Because our Scope two is green,

0:27:47.600 --> 0:27:50.440
<v Speaker 10>it's one hundred percent renewable. So we ended up with

0:27:50.640 --> 0:27:53.719
<v Speaker 10>a situation that's hybrid. Could we replicate Yes, we can

0:27:53.800 --> 0:27:56.640
<v Speaker 10>replicate Scope one, but then we will need to plug

0:27:56.680 --> 0:27:59.119
<v Speaker 10>it into a renewable source. So that's kind of the

0:27:59.240 --> 0:28:01.680
<v Speaker 10>uniqueness of what we do. He is a combination of technology.

0:28:02.040 --> 0:28:03.920
<v Speaker 10>We have a highly benign a grid.

0:28:05.240 --> 0:28:07.760
<v Speaker 3>Well, Ana, we really appreciate it. It's a really interesting

0:28:07.840 --> 0:28:10.000
<v Speaker 3>story because so often we hear about how this just

0:28:10.119 --> 0:28:12.800
<v Speaker 3>isn't possible, and it's nice to get that success story

0:28:12.880 --> 0:28:15.600
<v Speaker 3>as well. Look forward to seeing your growth as well.

0:28:15.960 --> 0:28:19.280
<v Speaker 3>On a cabral Sigma Lithium co chair and CEO of

0:28:19.400 --> 0:28:22.639
<v Speaker 3>joining us on Sustainable Lithium. You good, none, Bailly, you

0:28:22.720 --> 0:28:23.720
<v Speaker 3>got it like you to feel.

0:28:23.800 --> 0:28:26.200
<v Speaker 5>I learned a lot, I will say, though I'm a

0:28:26.240 --> 0:28:30.200
<v Speaker 5>big markets watcher as you know. Uh, Sigma lithium about

0:28:30.240 --> 0:28:32.400
<v Speaker 5>a year ago north of thirty bucks right now trade

0:28:32.400 --> 0:28:32.880
<v Speaker 5>and round nine.

0:28:33.000 --> 0:28:35.159
<v Speaker 3>I mean it's lithium prices they've just been I mean

0:28:35.200 --> 0:28:37.760
<v Speaker 3>that's the thing. It's super cyclical. And look at what's

0:28:37.800 --> 0:28:39.680
<v Speaker 3>happening with the auto demand. At the end of the day.

0:28:41.200 --> 0:28:45.080
<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:28:45.200 --> 0:28:48.720
<v Speaker 2>weekdays at ten am Eastern on applecar Play and Android

0:28:48.760 --> 0:28:51.480
<v Speaker 2>Auto with the Bloomberg Business Act. You can also listen

0:28:51.640 --> 0:28:54.720
<v Speaker 2>live on Amazon Alexa from our flagship New York station

0:28:55.080 --> 0:28:57.840
<v Speaker 2>Just say Alexa play Bloomberg eleven thirty.

0:28:59.440 --> 0:29:01.720
<v Speaker 3>We have a really interesting guest coming up now. So

0:29:01.880 --> 0:29:06.040
<v Speaker 3>Appian is an American cloud computing and enterprise software company.

0:29:06.080 --> 0:29:08.920
<v Speaker 3>It's headquartered in McLean, Virginia. It's been around for quite

0:29:09.040 --> 0:29:12.280
<v Speaker 3>a long time, and the CEO and founder, Matt Calkins

0:29:12.920 --> 0:29:15.960
<v Speaker 3>of Appian joins us. Now, hey, Matt, just dumb question.

0:29:16.200 --> 0:29:17.120
<v Speaker 3>What does your company do.

0:29:18.360 --> 0:29:21.200
<v Speaker 1>Hey, Alex, We do processes. You know, processes make the

0:29:21.240 --> 0:29:24.640
<v Speaker 1>world go around. Every organization is composed of its unique processes,

0:29:25.000 --> 0:29:27.760
<v Speaker 1>and we automate those processes, We orchestrate them, and we

0:29:28.120 --> 0:29:30.680
<v Speaker 1>make them better over time using our expertise in most

0:29:30.720 --> 0:29:31.560
<v Speaker 1>of all our software.

0:29:32.440 --> 0:29:34.920
<v Speaker 5>And how do you guys fit into kind of this

0:29:35.120 --> 0:29:37.400
<v Speaker 5>AI wave? When I look at you know a number

0:29:37.440 --> 0:29:39.680
<v Speaker 5>of stocks that have continued to rip and move higher,

0:29:40.240 --> 0:29:42.320
<v Speaker 5>It doesn't seem like Appian has been caught up in

0:29:42.400 --> 0:29:43.000
<v Speaker 5>that shift.

0:29:44.120 --> 0:29:47.000
<v Speaker 1>Well, we're not the highest profile member of the AI wave,

0:29:47.080 --> 0:29:49.520
<v Speaker 1>but we're really pertinent to it. You see, every process

0:29:49.640 --> 0:29:51.560
<v Speaker 1>is made up of work getting done, and some of

0:29:51.600 --> 0:29:53.800
<v Speaker 1>that work is done by AI. So we've been selling

0:29:53.840 --> 0:29:56.160
<v Speaker 1>AI for nearly a decade and we have a unique

0:29:56.240 --> 0:29:59.800
<v Speaker 1>angle on it. Our angle is that AI should work

0:29:59.800 --> 0:30:01.000
<v Speaker 1>with private data.

0:30:01.240 --> 0:30:01.360
<v Speaker 3>Right.

0:30:01.440 --> 0:30:03.240
<v Speaker 1>You shouldn't as a user, You should not have to

0:30:03.360 --> 0:30:06.760
<v Speaker 1>divulge your data at all to an AI algorithm that

0:30:06.880 --> 0:30:09.760
<v Speaker 1>you don't own. You should preserve the sanctity of your

0:30:09.800 --> 0:30:12.680
<v Speaker 1>information and still be able to get great AI results.

0:30:12.760 --> 0:30:15.360
<v Speaker 1>So we work with kind of a virtual database to

0:30:15.480 --> 0:30:17.840
<v Speaker 1>allow that instead of asking that our customers give us

0:30:17.880 --> 0:30:18.280
<v Speaker 1>their data.

0:30:18.600 --> 0:30:22.520
<v Speaker 3>So that would totally fly in like the large language

0:30:22.520 --> 0:30:24.280
<v Speaker 3>models that we're dealing with now, or they sort of

0:30:24.320 --> 0:30:26.640
<v Speaker 3>sour uce all this public data or so pay Reddit

0:30:26.720 --> 0:30:29.080
<v Speaker 3>to get their data. That's not that would be very different.

0:30:30.280 --> 0:30:33.600
<v Speaker 1>Well it's okay, yeah, I'm not talking about how you

0:30:33.680 --> 0:30:36.960
<v Speaker 1>build the generic AI model. That's what you're talking about.

0:30:37.120 --> 0:30:40.760
<v Speaker 1>You first training a generic model. I'm talking about how

0:30:41.040 --> 0:30:45.880
<v Speaker 1>organizations like corporations are frequently asked to train an AI

0:30:46.080 --> 0:30:48.920
<v Speaker 1>model after it's already incorporated all that public data. But

0:30:49.480 --> 0:30:53.040
<v Speaker 1>train an AI model, which has certain downsides. It means

0:30:53.160 --> 0:30:55.520
<v Speaker 1>that you've made an investment in a model you don't own.

0:30:55.560 --> 0:30:57.920
<v Speaker 1>It means you've divulged your data and that that could

0:30:57.960 --> 0:31:00.360
<v Speaker 1>be risky. It means you can only get one form

0:31:00.400 --> 0:31:03.160
<v Speaker 1>of answer back from that algorithm, because no matter what

0:31:03.320 --> 0:31:05.840
<v Speaker 1>security clearance the question has, you've all got the same

0:31:05.880 --> 0:31:08.560
<v Speaker 1>base of data to ask against. It means it's hard

0:31:08.600 --> 0:31:11.360
<v Speaker 1>to retrain that model. There's a lot of disadvantages to

0:31:11.600 --> 0:31:15.280
<v Speaker 1>training an AI model, and we would like to find

0:31:15.360 --> 0:31:18.200
<v Speaker 1>we do find a way to get great GENAI results

0:31:18.320 --> 0:31:19.800
<v Speaker 1>without that training step.

0:31:20.200 --> 0:31:20.600
<v Speaker 3>Interesting.

0:31:21.160 --> 0:31:23.520
<v Speaker 6>Do you guys have any marquee partnerships?

0:31:23.560 --> 0:31:25.720
<v Speaker 5>It just feels like in terms of kind of this

0:31:25.920 --> 0:31:27.840
<v Speaker 5>AI boom you mentioned that you guys have been operating

0:31:27.880 --> 0:31:30.360
<v Speaker 5>in the space for quite some time has drawn a

0:31:30.400 --> 0:31:32.720
<v Speaker 5>lot of money from Microsoft, Google, you name it.

0:31:33.760 --> 0:31:35.760
<v Speaker 1>For sure. We work with all of them, but we're

0:31:35.800 --> 0:31:39.719
<v Speaker 1>AWS centric, so that's our primary partnership and it has

0:31:39.800 --> 0:31:42.120
<v Speaker 1>been for a couple of decades now. We're also one

0:31:42.160 --> 0:31:43.920
<v Speaker 1>of their early pioneers with the clip.

0:31:44.880 --> 0:31:49.120
<v Speaker 3>What do you think AI regulation should be and where

0:31:49.200 --> 0:31:49.600
<v Speaker 3>is it now?

0:31:51.320 --> 0:31:53.680
<v Speaker 1>It's nowhere near where it should be, that's the answer.

0:31:54.120 --> 0:31:55.640
<v Speaker 3>We have a regulation at all?

0:31:56.880 --> 0:31:58.840
<v Speaker 1>Yeah, we should have some. We should have some to

0:31:59.280 --> 0:32:03.480
<v Speaker 1>establish a a fair and well understood set of ground

0:32:03.560 --> 0:32:06.360
<v Speaker 1>rules so that we can all compete without uncertainty. That

0:32:06.400 --> 0:32:09.840
<v Speaker 1>would be ideal. But today AI regulation is mostly about fear.

0:32:09.880 --> 0:32:13.480
<v Speaker 1>It's mostly about stopping AI from doing something catastrophic, to

0:32:13.600 --> 0:32:19.240
<v Speaker 1>quote the recent California proposal catastrophic instead of worrying about

0:32:20.440 --> 0:32:24.800
<v Speaker 1>bread and butter concerns. Is AI infringing on people's intellectual property?

0:32:24.840 --> 0:32:27.720
<v Speaker 1>As you make the next model? I think we're much

0:32:27.800 --> 0:32:30.480
<v Speaker 1>too driven by fear and too little driven by just

0:32:30.600 --> 0:32:34.520
<v Speaker 1>creating a fair playing field for all participants in this

0:32:34.680 --> 0:32:37.720
<v Speaker 1>emerging industry, which really what we need, less uncertainty, less

0:32:38.160 --> 0:32:40.960
<v Speaker 1>divergent regulation. Depending on where you're doing business, it's this

0:32:41.080 --> 0:32:43.560
<v Speaker 1>in Colorado, it's that in Europe, etc. It would be

0:32:43.720 --> 0:32:45.680
<v Speaker 1>better to just come up with a standard, and that

0:32:45.800 --> 0:32:50.200
<v Speaker 1>standard should address the first harms that AI is committing,

0:32:50.560 --> 0:32:53.960
<v Speaker 1>which are harms of a breach of intellectual property, rather

0:32:54.080 --> 0:32:58.479
<v Speaker 1>than the eventual hypothetical harms that most legislation seems targeted

0:32:58.520 --> 0:32:58.959
<v Speaker 1>to address.

0:32:59.320 --> 0:33:02.600
<v Speaker 6>And how would that actually, in your view, come to fruition.

0:33:02.760 --> 0:33:05.880
<v Speaker 5>It just feels like the kind of climate and DC

0:33:06.680 --> 0:33:10.520
<v Speaker 5>maybe wouldn't be as conducive to actually implementing some of

0:33:10.560 --> 0:33:11.920
<v Speaker 5>these practices at this point in time.

0:33:12.480 --> 0:33:15.000
<v Speaker 1>Look, I live near DC and it's paralyzed right now.

0:33:15.040 --> 0:33:17.040
<v Speaker 1>We're all thinking about the election. But I do have

0:33:17.120 --> 0:33:20.480
<v Speaker 1>a proposal. I think that we should begin with a

0:33:20.560 --> 0:33:24.120
<v Speaker 1>few broad statements like a bill Wright's almost around AI.

0:33:24.520 --> 0:33:27.600
<v Speaker 1>I think AI should disclose its data sources. That would

0:33:28.080 --> 0:33:31.120
<v Speaker 1>raise everybody's visibility into what's going on in AI and

0:33:31.200 --> 0:33:33.160
<v Speaker 1>allow us to better figure out where the value is

0:33:33.240 --> 0:33:36.800
<v Speaker 1>truly coming from. It's coming from the data more than

0:33:36.840 --> 0:33:41.280
<v Speaker 1>we realize. And then for private data, privately identifiable information,

0:33:41.440 --> 0:33:43.720
<v Speaker 1>and copyright information, all of that should be used with

0:33:43.840 --> 0:33:47.720
<v Speaker 1>permission and compensation. So if we started with just that

0:33:47.960 --> 0:33:51.320
<v Speaker 1>full disclosure and permission and compensation for all private information,

0:33:51.760 --> 0:33:54.400
<v Speaker 1>I think we would have a fair baseline for how

0:33:54.480 --> 0:33:58.959
<v Speaker 1>you're allowed to build an AI algorithm. You'd have good transparency,

0:33:59.000 --> 0:34:01.840
<v Speaker 1>we'd be better understand what this technology really means. And

0:34:01.960 --> 0:34:05.440
<v Speaker 1>then also it we'd actually be helping the industry become

0:34:05.520 --> 0:34:08.000
<v Speaker 1>more valuable because we'd shift it out of the current

0:34:08.280 --> 0:34:11.640
<v Speaker 1>race for information into something far more important, the race

0:34:11.719 --> 0:34:12.120
<v Speaker 1>for trust.

0:34:13.080 --> 0:34:15.560
<v Speaker 3>Matt, that is your day job. That is the job

0:34:15.640 --> 0:34:17.719
<v Speaker 3>that you've had for a long time. But you also

0:34:17.840 --> 0:34:21.040
<v Speaker 3>have a side gig, and apparently you're super big into

0:34:21.200 --> 0:34:23.520
<v Speaker 3>board gaming as am I I feel you on that.

0:34:23.840 --> 0:34:26.320
<v Speaker 3>But you also make up your own board games. Is

0:34:26.400 --> 0:34:28.080
<v Speaker 3>this true? Because I am so jealous?

0:34:28.880 --> 0:34:29.160
<v Speaker 4>I do.

0:34:29.520 --> 0:34:31.759
<v Speaker 1>I love it, and I've been designing board games for

0:34:31.880 --> 0:34:35.040
<v Speaker 1>a couple of decades now, and I've got several in print,

0:34:35.320 --> 0:34:37.920
<v Speaker 1>and it's a great pleasure to see other people playing them.

0:34:37.960 --> 0:34:39.560
<v Speaker 1>It's one of my favorite things.

0:34:39.840 --> 0:34:41.560
<v Speaker 3>Do you have like a favorite like? Is there one

0:34:41.640 --> 0:34:44.120
<v Speaker 3>game either that you play that's not yours, and then

0:34:44.200 --> 0:34:45.240
<v Speaker 3>the game that you created.

0:34:46.280 --> 0:34:50.040
<v Speaker 1>Okay, it's hard for me to pick favorites amongst my own,

0:34:50.120 --> 0:34:52.439
<v Speaker 1>but I guess I'd have to point to Sekigahara, which

0:34:52.480 --> 0:34:54.840
<v Speaker 1>is still rated one of the top war games ever written,

0:34:54.920 --> 0:34:56.520
<v Speaker 1>even though it was written more than a decade ago.

0:34:57.360 --> 0:34:59.880
<v Speaker 1>That was a real pleasure to write. And my latest

0:35:00.120 --> 0:35:04.160
<v Speaker 1>is called Chariots here about racing chariots by making simple

0:35:04.239 --> 0:35:07.600
<v Speaker 1>card combinations. My favorites to play that I did not

0:35:07.760 --> 0:35:12.520
<v Speaker 1>write would have to include power Grid, Acquire and Automobile.

0:35:12.840 --> 0:35:14.239
<v Speaker 3>Oh, I don't know, power Grid.

0:35:14.280 --> 0:35:14.920
<v Speaker 6>I need to get that.

0:35:15.600 --> 0:35:16.200
<v Speaker 2>I just put on.

0:35:16.640 --> 0:35:19.960
<v Speaker 6>I'll be the dumbest person in this conversation. Are these

0:35:20.040 --> 0:35:21.960
<v Speaker 6>thinking games? Do I have to be like ready to

0:35:22.840 --> 0:35:23.399
<v Speaker 6>have to think?

0:35:25.480 --> 0:35:27.640
<v Speaker 1>Yeah, you'll do better if you think for sure. In fact,

0:35:27.680 --> 0:35:29.239
<v Speaker 1>that's the fun of it. It gives me something to

0:35:29.280 --> 0:35:32.319
<v Speaker 1>think about, a competition to engage your mind.

0:35:32.640 --> 0:35:34.640
<v Speaker 3>Okay, that's a barely answer that question.

0:35:34.680 --> 0:35:36.840
<v Speaker 5>Every day when we answer the anchor, do I have

0:35:37.000 --> 0:35:37.279
<v Speaker 5>to think?

0:35:37.360 --> 0:35:39.000
<v Speaker 3>Well, normally, I mean that's a TVD.

0:35:39.120 --> 0:35:40.880
<v Speaker 6>To be honest, I'm a Yazi fan. I like to

0:35:40.960 --> 0:35:42.719
<v Speaker 6>you know, you roll the die, you pick out the die.

0:35:42.760 --> 0:35:44.920
<v Speaker 6>It's pretty straightforward strategy.

0:35:45.560 --> 0:35:47.719
<v Speaker 1>There's some decisions, and if there weren't, it wouldn't be fun.

0:35:48.360 --> 0:35:53.440
<v Speaker 3>I mean, I'm totally I'm totally okay, I'm gonna check

0:35:53.480 --> 0:35:55.560
<v Speaker 3>those out. That was really great. We really appreciate it.

0:35:55.600 --> 0:35:58.480
<v Speaker 3>Matt Calkins, thank you so much. A founder and CEO

0:35:58.920 --> 0:36:02.400
<v Speaker 3>of Appy and joining us Nasdaq ticker is a p P.

0:36:02.760 --> 0:36:05.200
<v Speaker 3>And wait, so you guys don't like have parties in

0:36:05.320 --> 0:36:06.399
<v Speaker 3>Jersey with board games?

0:36:06.440 --> 0:36:09.160
<v Speaker 6>Okay? So I love board games, so I didn't. I

0:36:09.200 --> 0:36:11.960
<v Speaker 6>didn't want to downplay it. Okay, but I like Yati

0:36:12.200 --> 0:36:14.880
<v Speaker 6>you play? Were you part of that code games? I

0:36:14.920 --> 0:36:17.480
<v Speaker 6>guess yeah, maybe not. Board games is code names. It's

0:36:17.480 --> 0:36:17.960
<v Speaker 6>a card game.

0:36:18.040 --> 0:36:19.360
<v Speaker 3>It's it's a card Yeah, I don't know. It's a

0:36:19.400 --> 0:36:20.359
<v Speaker 3>good question. Okay, code name.

0:36:20.400 --> 0:36:22.560
<v Speaker 6>So you like the code name names, Yazi, Yati? Have

0:36:22.600 --> 0:36:23.360
<v Speaker 6>you played Chameleon?

0:36:23.719 --> 0:36:23.759
<v Speaker 4>No?

0:36:24.040 --> 0:36:26.200
<v Speaker 6>Chameleons a lot of fun? Okay, it's good. I know

0:36:26.280 --> 0:36:29.080
<v Speaker 6>you're not like, I don't know. If you go to breweries,

0:36:29.120 --> 0:36:29.920
<v Speaker 6>it's good brewery game.

0:36:30.080 --> 0:36:32.320
<v Speaker 3>It's a good brewery game. Okay. I mean, my daughter's

0:36:32.320 --> 0:36:34.080
<v Speaker 3>not quite old enough for that, but it's a fair point.

0:36:34.320 --> 0:36:36.479
<v Speaker 3>I'm a Katon person, so that's see.

0:36:36.600 --> 0:36:38.960
<v Speaker 6>I haven't put in the effort to learn how to

0:36:39.000 --> 0:36:39.279
<v Speaker 6>play it.

0:36:39.360 --> 0:36:41.680
<v Speaker 3>Every once you do play oh man, Yeah, okay, the

0:36:41.760 --> 0:36:44.160
<v Speaker 3>first time is a slog and it's confusing and then

0:36:44.200 --> 0:36:45.960
<v Speaker 3>it might break up your marriage. But once I get

0:36:46.000 --> 0:36:50.480
<v Speaker 3>past that point, it's so good. We're also playing Pandemic Legacy.

0:36:50.680 --> 0:36:54.120
<v Speaker 3>That's interesting. Anyway, we digress. Bailey's looking at me like.

0:36:54.560 --> 0:36:56.160
<v Speaker 5>I don't know what you're talking about. But JT's gonna

0:36:56.160 --> 0:36:57.839
<v Speaker 5>come over. We'll play some Gaitan and build some roos.

0:36:57.880 --> 0:36:58.000
<v Speaker 4>Oh.

0:36:58.040 --> 0:36:59.799
<v Speaker 3>I see what he's doing, and he's like, come over

0:36:59.880 --> 0:37:01.600
<v Speaker 3>and then fix my leak or whatever.

0:37:02.280 --> 0:37:06.759
<v Speaker 2>This is the Bloomberg Intelligence podcast, available on Apples, Spotify,

0:37:07.000 --> 0:37:10.120
<v Speaker 2>and anywhere else you get your podcasts. Listen live each

0:37:10.200 --> 0:37:13.359
<v Speaker 2>weekday ten am to noon Eastern on Bloomberg dot com,

0:37:13.680 --> 0:37:17.040
<v Speaker 2>the iHeartRadio app, tune In, and the Bloomberg Business app.

0:37:17.200 --> 0:37:20.160
<v Speaker 2>You can also watch us live every weekday on YouTube

0:37:20.440 --> 0:37:22.240
<v Speaker 2>and always on the Bloomberg terminal