WEBVTT - Bloomberg Surveillance TV: May 2, 2024

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is the Bloomberg Surveillance Podcast. I'm Jonathan Ferrow, along

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<v Speaker 2>with Lisa Bromwitz and Amrie Hordern. Join us each day

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<v Speaker 2>for insight from the best in markets, economics, and geopolitics

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<v Speaker 2>from our global headquarters in New York City. We are

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<v Speaker 2>anywhere else you listen, and as always on the Bloomberg

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<v Speaker 2>Terminal and the Bloomberg Business app. Savera joins us now, SAVERA,

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<v Speaker 2>good morning to you. Which one is this? Stagflation? Hard landing,

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<v Speaker 2>no landing? Where are we going?

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<v Speaker 3>I think we're going to a soft landing with a

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<v Speaker 3>reasonable market environment, maybe better.

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<v Speaker 4>Growth ahead than what we're used to. Higher rates, a

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<v Speaker 4>little bit of higher inflation. But look where we are

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<v Speaker 4>on inflation.

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<v Speaker 3>These are the levels that we all used to write

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<v Speaker 3>about as the Goldilocks levels. Right, We're not at nine,

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<v Speaker 3>we're not at zero, We're around.

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<v Speaker 4>Three or four. Those are healthy levels for equities.

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<v Speaker 2>It doesn't sound late cycle when you speak where are

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<v Speaker 2>we in this cycle?

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<v Speaker 4>Who knows?

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<v Speaker 3>I mean I think this cycle is very asynchronous, if

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<v Speaker 3>you will. So it's you know, there's some areas that

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<v Speaker 3>are booming. We're still kind of coming off of COVID,

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<v Speaker 3>So we've got services demand maybe slowing or tapering off,

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<v Speaker 3>goods demand potentially picking up.

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<v Speaker 4>We've got still tight employment.

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<v Speaker 3>But then there's also a couple of structural factors that

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<v Speaker 3>I think.

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<v Speaker 4>Are skewing the cycle call.

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<v Speaker 3>So we have a very tight employment market, and one

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<v Speaker 3>of the reasons for that is demographics, which we're you know,

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<v Speaker 3>we're in an aging demographic scenario. And then on top

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<v Speaker 3>of that, we had a huge number of early retirees

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<v Speaker 3>during COVID. Unless we loose an immigration, I think that

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<v Speaker 3>we're going to remain in this very tight labor market.

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<v Speaker 3>So that's the other factor. And you know, we've talked

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<v Speaker 3>about this. I think the consumer is in a very

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<v Speaker 3>different balance sheet set up than in prior cycles, where

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<v Speaker 3>you know, long term fixed rate mortgages eighty five percent,

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<v Speaker 3>very different from prior cycles. You've got baby boomers sitting

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<v Speaker 3>on wads of cash.

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<v Speaker 4>So I just think that.

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<v Speaker 3>This cycle you can't just map on the typical you know, oh,

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<v Speaker 3>the FED is tightening, it's.

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<v Speaker 4>You know, or late cycle. Now the FED is stopped

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<v Speaker 4>and they're going to start cutting. We're early. It's a

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<v Speaker 4>different a different type of market. You use the G word.

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<v Speaker 5>Sorry, I apologize to fans.

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<v Speaker 1>It's been a long way goldilocks. And we hear this

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<v Speaker 1>from Max Kettner's too, and this really raises a question,

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<v Speaker 1>or can we have goldilocks with five percent FED funds rates?

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<v Speaker 4>Is this actually just a new rate?

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<v Speaker 5>Is it not actually restrictive?

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<v Speaker 1>And is it something that can actually even allow a

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<v Speaker 1>broadening out and a rally even without any rate cuts

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<v Speaker 1>this year?

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<v Speaker 4>I think so.

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<v Speaker 3>I mean, I think there's a very high probability that

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<v Speaker 3>the FED remains on hold. Our economists have talked about

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<v Speaker 3>this as well, So we expect to cut in December.

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<v Speaker 4>Maybe no cuts.

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<v Speaker 3>Look, I think five percent is a manageable number, especially

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<v Speaker 3>if you have corporations that have locked in fixed straight

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<v Speaker 3>you know, long term debt you've got And this is

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<v Speaker 3>the S and P, not necessarily small caps or other regions.

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<v Speaker 3>But I think that the SMP has actually prepared for

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<v Speaker 3>this moment. Now you've got big tech companies, the go

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<v Speaker 3>go growth stocks initiating dividends. Right, We've got an environment

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<v Speaker 3>where the market is adapting to higher interest rates, shortening

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<v Speaker 3>their duration, giving us more cash. I think this is

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<v Speaker 3>actually a kind of a reasonable setup for equities here.

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<v Speaker 1>I don't want to be cynical. There is this concern

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<v Speaker 1>with people focusing on large caps that can handle this.

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<v Speaker 1>The people shrug off the highest delinquency rates. Going back

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<v Speaker 1>many years, this idea that if a number of people

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<v Speaker 1>just get blown out, fine, it's okay, you know, we

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<v Speaker 1>can just go into luxury, we'll go into big tech,

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<v Speaker 1>we'll go into the areas that'll do fine, and we'll

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<v Speaker 1>be fine, even if other segments are getting kind of blown.

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<v Speaker 4>Right, right, How long can that go on? I think

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<v Speaker 4>that is a key risk.

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<v Speaker 3>And I mean we've seen that income gap widen for

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<v Speaker 3>decades now, right. I think what's happening now is actually

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<v Speaker 3>potentially better for the middle to lower income customer if

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<v Speaker 3>you're in certain sectors. So look at manufacturing in the US.

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<v Speaker 3>There's still a very tight labor force. Real wage growth

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<v Speaker 3>is positive. Where you're seeing a lot of the layoffs

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<v Speaker 3>is more in white collar, you know, not necessarily Middle America,

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<v Speaker 3>where you're seeing still very strong signs of this restoring

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<v Speaker 3>boom that has a long tail, right. I mean, you

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<v Speaker 3>can't build a factory in a year. It's going this

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<v Speaker 3>This restoring theme is a very long term theme that

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<v Speaker 3>I think has legs over the next several years. And

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<v Speaker 3>that's where the job tightness is, that's where the real

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<v Speaker 3>wage growth is really positive.

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<v Speaker 4>And I think those are areas.

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<v Speaker 3>That are, you know, different from where we've seen benefits

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<v Speaker 3>in the past. So that's one way to stave it off.

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<v Speaker 3>And then you know, I think higher oil prices are

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<v Speaker 3>also a concern if you think about geopolitical risks. But

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<v Speaker 3>where we are today is I think the US is

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<v Speaker 3>in a better position because we are now a net

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<v Speaker 3>exporter rather than an importer, so we've got a little

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<v Speaker 3>bit more wiggle rim around oil than we did in

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<v Speaker 3>prior cycles.

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<v Speaker 4>But you're right, it's a concern.

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<v Speaker 6>Well when it comes to these low age workers saying

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<v Speaker 6>people they're getting jobs in manufacturing. But I go back

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<v Speaker 6>to what Diane Swanks said yesterday to Jonathan, Lisa and Tom.

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<v Speaker 6>These individuals move from the shadows of the economy into

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<v Speaker 6>the sun. Maybe that's the labor market that's getting a

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<v Speaker 6>better job, but then they get hit by inflation. They

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<v Speaker 6>get burned by inflation. Right, So how does the FED

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<v Speaker 6>think of these individuals when it comes to higher inflation,

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<v Speaker 6>because we know they have no appetite.

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<v Speaker 4>For a hike, right, right, right, right.

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<v Speaker 3>So I think that where we are now is an

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<v Speaker 3>environment where we really do need to see some of

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<v Speaker 3>these inflationary forces subside, and we're I think there's a

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<v Speaker 3>couple of things going on that could actually continue to

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<v Speaker 3>create a ceiling on inflation.

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<v Speaker 4>So think about it.

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<v Speaker 3>There's still demographics and demographics, We've got aging population, less

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<v Speaker 3>demand for stuff. That's that's another that's sort of a

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<v Speaker 3>disinflationary pressure. You've also got disruption from AI tech automation,

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<v Speaker 3>so that's a continued disinflationary pressure. I don't see inflation

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<v Speaker 3>going to the seventies levels that's really untenable for your

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<v Speaker 3>average consumer. I think there's enough of a secular disinflationary

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<v Speaker 3>force at play that we've all been talking about, you know,

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<v Speaker 3>for the last twenty years that can can actually stave

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<v Speaker 3>off a really aggressive level of inflation. And then on

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<v Speaker 3>top of that, I think the energy independence of the

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<v Speaker 3>US is a really important factor because you know, that's

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<v Speaker 3>a benefit to the US that most other developed.

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<v Speaker 4>Economies don't have. And I think that's something we should

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<v Speaker 4>be happy about.

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<v Speaker 2>Let's finish on something you've been focused on for quite

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<v Speaker 2>a while allan to call Amy value, and it's industrial

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<v Speaker 2>staff to capital. I remember you outlining this, I think

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<v Speaker 2>maybe twelve months ago. Still a big thing for you

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<v Speaker 2>and a team.

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<v Speaker 3>Yes, and it's worked for maybe two months out of

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<v Speaker 3>the last twelve.

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<v Speaker 2>But you know, I think where we are now against

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<v Speaker 2>throwing much Just for the record, I was genuinely interested

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<v Speaker 2>in that faces well.

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<v Speaker 3>You know again, I think we're in an environment where

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<v Speaker 3>the broadening of the market is still a theme we

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<v Speaker 3>talk about, and it's started to happen in the last

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<v Speaker 3>couple of months.

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<v Speaker 4>Look who's going to benefit from all.

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<v Speaker 3>These chips and this AI and you know automation. It's

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<v Speaker 3>old economy companies that get more labor light. And I

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<v Speaker 3>think that's the benefit that we could see over the

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<v Speaker 3>next you know, twelve to twenty four to.

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<v Speaker 4>You a few years.

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<v Speaker 3>I think the areas are you know, industries like ours,

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<v Speaker 3>the banks, right, I mean banks are very labor intensive.

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<v Speaker 4>Now there is this tool that.

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<v Speaker 3>We can use to replace people with bots and processes.

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<v Speaker 4>Et cetera.

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<v Speaker 3>So I think, you know, it's it's a potential streamlining

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<v Speaker 3>or cost cutting story self help for a lot of

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<v Speaker 3>these old economy services sectors that haven't really addressed their

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<v Speaker 3>labor intensity for for quite a while.

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<v Speaker 6>This was it's going to s.

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<v Speaker 2>Andrew Honposo. City office is one. We maintain our base

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<v Speaker 2>case from one hundred basis points of counts in twenty four,

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<v Speaker 2>substantially more than priced by interest rate markets. Andrew's with

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<v Speaker 2>us around the table, Andrew Hallo, let's go straight to it.

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<v Speaker 2>Four cuts in twenty four. This is not consensus. Where

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<v Speaker 2>does it come from?

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<v Speaker 5>Well, the Fed's going to cut this year.

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<v Speaker 7>I think that was very clear from CHERA Powell yesterday

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<v Speaker 7>that at least the next move is a cut, and

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<v Speaker 7>the way that they get there is because the inflation

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<v Speaker 7>data is.

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<v Speaker 5>Going to give them the opportunity. I don't think it's.

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<v Speaker 7>Going to two percent, but it's going to be slow

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<v Speaker 7>enough that it lets them cut. And then the labor

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<v Speaker 7>market is going to weaken. And we heard that from

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<v Speaker 7>Chaerir Powell, this idea that we're seeing that the trend

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<v Speaker 7>is really towards a weaker labor market.

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<v Speaker 2>Here, I think this is your signature cool for this year.

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<v Speaker 2>It's the weakness that you're anticipating in the labor market.

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<v Speaker 2>Do you see it now? Where's it coming from?

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<v Speaker 7>This is really important because what we heard from Chair

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<v Speaker 7>Powell is with the two mandates, the dual mandates and

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<v Speaker 7>better balance than their words, has come down. It's not

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<v Speaker 7>a two percent, but it's come down. They're looking at

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<v Speaker 7>employment now. And when you look at employment, Chirpewell highlighted

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<v Speaker 7>some of these things. You look at the conference board,

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<v Speaker 7>do people see jobs plentiful or do people see jobs

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<v Speaker 7>hard to get?

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<v Speaker 5>They're seeing jobs as harder to get. You ask people,

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<v Speaker 5>are you more worried about keeping your job? They are

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<v Speaker 5>more worried.

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<v Speaker 7>We see that in the New York Fed survey, and

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<v Speaker 7>then you go to the NFIB Small Business Survey. It's

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<v Speaker 7>going to come out to day at one pm. Let's

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<v Speaker 7>see where it is. But you're seeing small businesses that

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<v Speaker 7>are saying they're not excited about hiring.

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<v Speaker 5>So all of these indicators are going in one direction.

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<v Speaker 1>At the same time, we've been seeing signs of cracks

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<v Speaker 1>for a really long time. People expected things to weaken.

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<v Speaker 5>Substantially earlier this year. They haven't.

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<v Speaker 1>Late last year they didn't. So at what point do

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<v Speaker 1>you have conviction. This time is different.

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<v Speaker 7>So I think a lot of those calls were maybe

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<v Speaker 7>not wrong, but just very premature. And the cycle has

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<v Speaker 7>just extended a lot longer than many people thought. And

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<v Speaker 7>what we were going through in the labor market was

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<v Speaker 7>a kind of normalization. We had job openings that were

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<v Speaker 7>extremely elevated, We had just incredible will need to hire

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<v Speaker 7>people and restaff and we've really worked through a lot

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<v Speaker 7>of that.

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<v Speaker 5>Now when we look at these trends, take the quit rate.

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<v Speaker 7>And yesterday's Jolts report, that's a decade low, and what

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<v Speaker 7>that's telling us is that this isn't just normalization.

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<v Speaker 5>At this point.

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<v Speaker 7>This is people that at least in the last ten years,

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<v Speaker 7>people have not been this worried about holding onto a job,

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<v Speaker 7>which really.

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<v Speaker 1>Raises an interesting question about tomorrow's non farm payrolls report.

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<v Speaker 1>We're talking about how how high numbers will be and

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<v Speaker 1>how high numbers have been, and it really is one

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<v Speaker 1>of the reasons why people say this is a robust

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<v Speaker 1>labor market. Are you saying that those numbers inaccurately represent

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<v Speaker 1>the true labor market and are distorted by immigration, by

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<v Speaker 1>other types of features that.

0:10:39.960 --> 0:10:42.520
<v Speaker 5>Really might mask a real level.

0:10:42.280 --> 0:10:44.920
<v Speaker 1>Of weakness that could catch us to as sooner than

0:10:45.000 --> 0:10:45.760
<v Speaker 1>many people think.

0:10:46.040 --> 0:10:46.679
<v Speaker 5>I think that's right.

0:10:46.720 --> 0:10:48.240
<v Speaker 7>And one of the great things about being a US

0:10:48.240 --> 0:10:51.080
<v Speaker 7>economist is we have an incredible range of data to

0:10:51.160 --> 0:10:54.040
<v Speaker 7>draw on, especially with something like the labor market. So

0:10:54.320 --> 0:10:58.400
<v Speaker 7>the biggest focus is usually right that establishment survey, non

0:10:58.440 --> 0:11:01.320
<v Speaker 7>farm payrolls, those have been strong. If you look at

0:11:01.360 --> 0:11:05.439
<v Speaker 7>almost any other labor market indicator, they range from slightly

0:11:05.480 --> 0:11:07.840
<v Speaker 7>weaker to that than that to a lot weaker than that.

0:11:08.120 --> 0:11:10.800
<v Speaker 7>Take the household survey. That's where the unemployment rate comes from.

0:11:10.840 --> 0:11:13.320
<v Speaker 7>The unemployment rate has been moving up because employment in

0:11:13.360 --> 0:11:17.240
<v Speaker 7>the household survey has been softer. Take the Business Employment

0:11:17.320 --> 0:11:19.640
<v Speaker 7>Dynamics survey. Now this is something most people don't watch.

0:11:19.679 --> 0:11:22.079
<v Speaker 7>It comes out very, very lagged. The numbers just came

0:11:22.120 --> 0:11:26.319
<v Speaker 7>out from Q three. Nine million firms that are accounted

0:11:26.320 --> 0:11:28.720
<v Speaker 7>for in this This is really the official data on

0:11:28.960 --> 0:11:30.360
<v Speaker 7>what firms we're doing in Q three.

0:11:30.480 --> 0:11:32.640
<v Speaker 5>If you look at that data, we lost jobs in

0:11:32.679 --> 0:11:35.319
<v Speaker 5>the third quarter. I'm not saying that actually happen.

0:11:35.120 --> 0:11:37.160
<v Speaker 7>But you look at all these different data points, you

0:11:37.240 --> 0:11:39.080
<v Speaker 7>kind of PLoP them all together and try to figure

0:11:39.080 --> 0:11:39.920
<v Speaker 7>out where the trend is.

0:11:40.080 --> 0:11:42.000
<v Speaker 5>That trend is towards a weaker job market.

0:11:42.080 --> 0:11:43.760
<v Speaker 2>Let's take a look at the heart landing versus solft

0:11:43.840 --> 0:11:45.560
<v Speaker 2>landing shop. We'll do that together. I'll do it in

0:11:45.559 --> 0:11:47.640
<v Speaker 2>the air for you. It's been a long night, okay,

0:11:48.080 --> 0:11:51.200
<v Speaker 2>So soft landing here, all right? Heart landing over here,

0:11:51.320 --> 0:11:54.800
<v Speaker 2>self landing and macular disinflation, big supply side recovery, et cetera,

0:11:54.840 --> 0:11:57.920
<v Speaker 2>et cetera. Sounds like you're somewhere over here. Is that fair?

0:11:58.040 --> 0:11:59.679
<v Speaker 2>You're looking for something close to a heart land in

0:11:59.679 --> 0:11:59.960
<v Speaker 2>this year?

0:12:00.240 --> 0:12:00.640
<v Speaker 5>That's fair?

0:12:00.679 --> 0:12:03.240
<v Speaker 7>And I think that markets have actually moved away from

0:12:03.320 --> 0:12:05.840
<v Speaker 7>this soft landing idea. It's pretty clear from the inflation

0:12:05.920 --> 0:12:09.880
<v Speaker 7>data that we're not getting the soft landing. If activity

0:12:09.920 --> 0:12:11.680
<v Speaker 7>holds up, then maybe we're going to have more of

0:12:11.720 --> 0:12:14.960
<v Speaker 7>an issue with inflation. The reason I think that the

0:12:14.960 --> 0:12:17.080
<v Speaker 7>Fed's going to see enough to cut is because that's right,

0:12:17.080 --> 0:12:19.360
<v Speaker 7>We're more towards that hard landing end of the spectrum.

0:12:19.440 --> 0:12:21.439
<v Speaker 2>So when you look at market pricing, and this has

0:12:21.480 --> 0:12:23.960
<v Speaker 2>echoes of a conversation we had with Gershen distant found

0:12:23.960 --> 0:12:26.120
<v Speaker 2>of a lince Burn steam in the last week. Do

0:12:26.160 --> 0:12:28.480
<v Speaker 2>you see the pricing of say one rate cut this

0:12:28.600 --> 0:12:30.840
<v Speaker 2>year as just a weighted average of a whole range

0:12:30.840 --> 0:12:33.199
<v Speaker 2>of possibilities and maybe not the most likely outcome.

0:12:33.480 --> 0:12:35.440
<v Speaker 7>That's right, markets are always going to average over all

0:12:35.440 --> 0:12:37.920
<v Speaker 7>the possibilities. And you heard Chair Powell, it was kind

0:12:37.920 --> 0:12:41.640
<v Speaker 7>of this multiverse of possible Fed outcomes. Yesterday they could

0:12:41.720 --> 0:12:44.480
<v Speaker 7>not cut at all. They could be cutting. I think

0:12:44.520 --> 0:12:48.160
<v Speaker 7>what's important is a symmetry of the Fed's reaction function.

0:12:48.520 --> 0:12:52.360
<v Speaker 7>You don't need both softer inflation and a weaker labor market.

0:12:52.480 --> 0:12:54.640
<v Speaker 7>You just need one or the other, and that's why

0:12:54.640 --> 0:12:55.240
<v Speaker 7>they're going to cut.

0:12:55.360 --> 0:12:57.120
<v Speaker 1>It's fascinating to me that you said we're not getting

0:12:57.160 --> 0:12:59.560
<v Speaker 1>a soft landing. You expect one hundred basis points of

0:12:59.600 --> 0:13:02.640
<v Speaker 1>federal cuts. Is that basically you saying that you think

0:13:02.679 --> 0:13:05.199
<v Speaker 1>the damage will be done enough that even one hundred

0:13:05.240 --> 0:13:07.440
<v Speaker 1>basis points of rate cuts won't be able to give

0:13:07.800 --> 0:13:10.880
<v Speaker 1>that sort of surge of stimulus into the economy soon

0:13:11.000 --> 0:13:13.040
<v Speaker 1>enough to stave off a real downturn.

0:13:13.320 --> 0:13:16.160
<v Speaker 7>This is what happens in almost every monetary policy cycle,

0:13:16.200 --> 0:13:18.120
<v Speaker 7>and I don't think that there's good reason to think

0:13:18.160 --> 0:13:20.679
<v Speaker 7>that this cycle is going to be different. We have

0:13:21.080 --> 0:13:25.160
<v Speaker 7>inflation that's run higher than expected, still higher than expected

0:13:25.200 --> 0:13:28.040
<v Speaker 7>even in the first quarter, that has kept policy rates

0:13:28.120 --> 0:13:28.880
<v Speaker 7>higher for longer.

0:13:28.920 --> 0:13:31.160
<v Speaker 5>We're in the higher for longer stage of the policy cycle.

0:13:31.360 --> 0:13:33.760
<v Speaker 7>The next stage of the policy cycle is a weakening

0:13:33.760 --> 0:13:36.800
<v Speaker 7>of the labor market. Once it starts gradually weakening, it

0:13:36.800 --> 0:13:39.320
<v Speaker 7>then weakens more sharply. I think that's exactly what's playing

0:13:39.360 --> 0:13:39.760
<v Speaker 7>out now.

0:13:39.800 --> 0:13:42.760
<v Speaker 2>Just quickly. How united is that commits see on the FMC.

0:13:43.480 --> 0:13:45.320
<v Speaker 7>I think there are a lot of different views around

0:13:45.360 --> 0:13:47.800
<v Speaker 7>the table right now, and I think Powell is probably

0:13:47.840 --> 0:13:50.680
<v Speaker 7>something of a master in terms of somehow bringing things

0:13:50.760 --> 0:13:52.800
<v Speaker 7>enough together to do that press conference.

0:13:52.440 --> 0:14:04.880
<v Speaker 2>Yesterday Andrew Houn host Stephan I'm wonderful to catch up

0:14:04.880 --> 0:14:07.200
<v Speaker 2>with you, sir. The stock is just about positive in

0:14:07.240 --> 0:14:08.959
<v Speaker 2>the pre market. Can you talk to me about how

0:14:09.000 --> 0:14:13.079
<v Speaker 2>you're balancing cost cutting with investing in innovation given what's

0:14:13.080 --> 0:14:13.800
<v Speaker 2>in the pipeline.

0:14:14.840 --> 0:14:17.280
<v Speaker 8>Sure, well, good morning, Thank you for having me so

0:14:17.520 --> 0:14:20.720
<v Speaker 8>very pleased with a quote. We basically try to focus

0:14:20.960 --> 0:14:23.440
<v Speaker 8>on how do we drive sales, how do we drive

0:14:23.600 --> 0:14:26.520
<v Speaker 8>R and D, how do we prioritize opportunities, which is why,

0:14:26.560 --> 0:14:29.640
<v Speaker 8>for example, we announced that we are stopping the partnership

0:14:29.720 --> 0:14:32.720
<v Speaker 8>with Metagenomy in research engine editing.

0:14:33.200 --> 0:14:33.760
<v Speaker 5>Same thing if you.

0:14:33.720 --> 0:14:37.120
<v Speaker 8>Look at the portfolio we're looking very carefully at all investments.

0:14:37.600 --> 0:14:41.600
<v Speaker 8>And a good thing about those vaccines like respiratory vaccines

0:14:41.720 --> 0:14:44.480
<v Speaker 8>is your only pay the fase free study. What So

0:14:44.480 --> 0:14:46.840
<v Speaker 8>if you think about COVID, we still have sales from COVID,

0:14:47.280 --> 0:14:49.480
<v Speaker 8>but the investment in the idea of COVID has come

0:14:49.560 --> 0:14:52.240
<v Speaker 8>down a lot. As you said ours, we we are

0:14:52.280 --> 0:14:55.560
<v Speaker 8>antipating a launch this spring, but we're not going to

0:14:55.600 --> 0:14:57.720
<v Speaker 8>do another phase three four URSV. So you can still

0:14:57.960 --> 0:15:00.200
<v Speaker 8>basically have a lot of new studies going on on

0:15:01.600 --> 0:15:04.000
<v Speaker 8>reusing the capital you used to put in the other

0:15:04.080 --> 0:15:06.920
<v Speaker 8>products before. And then if you look at oncology, as

0:15:06.920 --> 0:15:09.400
<v Speaker 8>you know, when a fifty to fifty profit shared with Merk,

0:15:09.880 --> 0:15:12.000
<v Speaker 8>so merk is paying half of a face free study.

0:15:12.040 --> 0:15:14.120
<v Speaker 8>So that's how we're managing. When we're seeing a lot

0:15:14.160 --> 0:15:17.720
<v Speaker 8>in technology. You might have seen last week an announcement

0:15:17.840 --> 0:15:20.360
<v Speaker 8>with open Ai. We have actually more than seven or

0:15:20.560 --> 0:15:23.120
<v Speaker 8>fifty gpt is going and that is helping us a

0:15:23.120 --> 0:15:26.520
<v Speaker 8>lot scale the company across not only science, but striving

0:15:26.560 --> 0:15:30.800
<v Speaker 8>a lot of productivity in manufacturing, in commercial illegal So

0:15:30.800 --> 0:15:31.920
<v Speaker 8>that's kind of how we're doing it.

0:15:32.160 --> 0:15:34.080
<v Speaker 2>So Stephan, let's talk about something that our colleagues here

0:15:34.080 --> 0:15:37.440
<v Speaker 2>at Bloomberg are extremely focused on and that's your RSV show,

0:15:37.880 --> 0:15:40.320
<v Speaker 2>which according to our colleagues, some data is showing that

0:15:40.360 --> 0:15:42.760
<v Speaker 2>maybe it doesn't last as long as others in the market.

0:15:42.960 --> 0:15:44.520
<v Speaker 2>What we all want to know here at Bloomberger is

0:15:44.520 --> 0:15:47.440
<v Speaker 2>whether that raises questions about the promise of your technology

0:15:47.440 --> 0:15:50.080
<v Speaker 2>in treating other diseases. How would you answer that?

0:15:51.400 --> 0:15:53.040
<v Speaker 8>So we first said that if you look at the

0:15:53.120 --> 0:15:56.440
<v Speaker 8>data the duration of the over vaccines, they are very similar.

0:15:56.720 --> 0:15:59.720
<v Speaker 8>So I don't think it is scientifically correct to say

0:15:59.720 --> 0:16:02.160
<v Speaker 8>that one of a vaccine doesn't last as long as

0:16:02.200 --> 0:16:05.600
<v Speaker 8>the ones of a tool that are improved. And our

0:16:05.960 --> 0:16:08.960
<v Speaker 8>look at the data. This will be debated at the

0:16:08.960 --> 0:16:13.040
<v Speaker 8>CDC meeting at the end of drewn that for recommendations.

0:16:13.760 --> 0:16:16.160
<v Speaker 8>So this doesn't worry me. If you look at duration,

0:16:16.840 --> 0:16:20.920
<v Speaker 8>the duration of vaccination is induced by T cell. If

0:16:20.920 --> 0:16:24.160
<v Speaker 8>you look at cancer product, the only reason it works

0:16:24.640 --> 0:16:27.960
<v Speaker 8>is T cells, not antibodies. Antibodies don't have a rowing cancer.

0:16:28.000 --> 0:16:31.880
<v Speaker 8>It's about T cells going and attacking your cancer. If

0:16:31.960 --> 0:16:35.240
<v Speaker 8>a vaccine technology don't have good T cell response, the

0:16:35.320 --> 0:16:37.280
<v Speaker 8>cancer product will not look as good as it is.

0:16:37.600 --> 0:16:39.760
<v Speaker 8>So I'm not worried at all about duration.

0:16:40.480 --> 0:16:43.120
<v Speaker 1>Pretty much every time we speak Stepan, I ask you basically,

0:16:43.160 --> 0:16:44.840
<v Speaker 1>have we couraged cancer yet? So I'm glad that you

0:16:44.880 --> 0:16:46.600
<v Speaker 1>went there because that's been sort of one of the

0:16:46.640 --> 0:16:48.280
<v Speaker 1>big questions and I hope for a lot of the

0:16:49.480 --> 0:16:53.480
<v Speaker 1>mRNA vaccines. You have this melanoma vaccine in the works.

0:16:53.800 --> 0:16:54.960
<v Speaker 5>What more do you have to do.

0:16:54.920 --> 0:16:57.480
<v Speaker 1>To get it sort of set up for the approval

0:16:57.480 --> 0:17:00.400
<v Speaker 1>process to apply for that? And are you using artificial

0:17:00.440 --> 0:17:02.040
<v Speaker 1>intelligence to extracite.

0:17:01.560 --> 0:17:03.560
<v Speaker 5>That great question?

0:17:03.840 --> 0:17:07.920
<v Speaker 8>So if you look at cancer treatment in melanoma, we've

0:17:07.960 --> 0:17:11.320
<v Speaker 8>said that we need to achieve three things to be

0:17:11.359 --> 0:17:15.600
<v Speaker 8>able to talk to regulator about accelerated approval. So the

0:17:15.640 --> 0:17:17.960
<v Speaker 8>face to day ties data we shared on the show

0:17:18.320 --> 0:17:22.480
<v Speaker 8>several times, we see duration. If you remember in December

0:17:22.480 --> 0:17:25.239
<v Speaker 8>we had a three year survival, it was better than

0:17:25.240 --> 0:17:27.960
<v Speaker 8>the two year survival. So the difference between people on

0:17:28.040 --> 0:17:31.760
<v Speaker 8>all treatment and people that are just getting cathedral is

0:17:31.800 --> 0:17:35.600
<v Speaker 8>getting wider. So there's a very strong evidence that the

0:17:35.680 --> 0:17:39.160
<v Speaker 8>drug is working. So that's number one. Number two is

0:17:39.320 --> 0:17:43.400
<v Speaker 8>we need a phase free study to be substantially enrolled,

0:17:43.680 --> 0:17:46.879
<v Speaker 8>and so we are working very actively. Face free study

0:17:46.960 --> 0:17:50.679
<v Speaker 8>started two months earlier than planned last summer and so

0:17:50.720 --> 0:17:54.040
<v Speaker 8>when we are substantially enrolled, we will meet that criteria

0:17:54.760 --> 0:17:56.920
<v Speaker 8>and it could be later this year. And the third

0:17:56.920 --> 0:17:59.399
<v Speaker 8>one is a plant, because of course we need to

0:17:59.480 --> 0:18:03.199
<v Speaker 8>file in the restrection does all the information about the

0:18:03.200 --> 0:18:07.679
<v Speaker 8>manufacturing process BFD, and the day you file is allowed

0:18:07.680 --> 0:18:10.480
<v Speaker 8>to go of course audit your plant. That plant is

0:18:10.520 --> 0:18:12.160
<v Speaker 8>being built. I had the chance to go there two

0:18:12.160 --> 0:18:15.520
<v Speaker 8>weeks ago. The team is working NonStop, scheduling literally by

0:18:15.560 --> 0:18:17.960
<v Speaker 8>the days, a bit like we did during COVID during

0:18:18.000 --> 0:18:22.840
<v Speaker 8>the pandemic, and so I ancipate that potentially sometime next year.

0:18:22.960 --> 0:18:26.080
<v Speaker 8>You know, the if a regulator was willing to look

0:18:26.119 --> 0:18:29.520
<v Speaker 8>at the acceleted approval file, we should have this product

0:18:29.520 --> 0:18:31.600
<v Speaker 8>available to help a lot of people, because one in

0:18:31.640 --> 0:18:35.439
<v Speaker 8>two people benefit with notices coming back or no deaths

0:18:35.880 --> 0:18:38.240
<v Speaker 8>compared to the best drug available today to them on

0:18:38.280 --> 0:18:38.720
<v Speaker 8>the market.

0:18:38.880 --> 0:18:40.720
<v Speaker 1>Stephan, can you just give us a sense of you

0:18:40.760 --> 0:18:44.120
<v Speaker 1>talk about artificial intelligence. Everyone's talking about artificial intelligence.

0:18:44.160 --> 0:18:44.879
<v Speaker 5>Could you just talk.

0:18:44.720 --> 0:18:47.879
<v Speaker 1>About how much that could expedite generally some of the

0:18:47.960 --> 0:18:50.520
<v Speaker 1>drug production that we're seeing. Just how much that could

0:18:50.560 --> 0:18:54.520
<v Speaker 1>really get us to achieve, you know, that cure for cancer,

0:18:54.840 --> 0:18:57.960
<v Speaker 1>that cure for als, cure for Alzheimer's. You know, it's

0:18:57.960 --> 0:18:59.840
<v Speaker 1>funny you're talking about sex and city. I sit around

0:18:59.840 --> 0:19:01.320
<v Speaker 1>and worry about these things. You know, what do we

0:19:01.320 --> 0:19:04.200
<v Speaker 1>secure these things? So I'm just wondering. You know, this

0:19:04.240 --> 0:19:05.800
<v Speaker 1>is going to be in our lifetime in the next

0:19:05.800 --> 0:19:09.160
<v Speaker 1>couple of years because of some of the machine learning.

0:19:10.560 --> 0:19:12.560
<v Speaker 8>Yes, So I think there's a few things to tear

0:19:12.640 --> 0:19:15.520
<v Speaker 8>part in your in your great question. First is I

0:19:15.520 --> 0:19:20.000
<v Speaker 8>think machine learning in academic labs, in research labs, in

0:19:20.000 --> 0:19:24.560
<v Speaker 8>industry is helping accelerate the understanding of a human body.

0:19:25.119 --> 0:19:26.720
<v Speaker 5>If you think about you know, this.

0:19:26.760 --> 0:19:29.760
<v Speaker 8>Is Alzheimer and others complicated disease that we do not

0:19:29.840 --> 0:19:33.960
<v Speaker 8>have solutions for yet as a society. It's because we

0:19:34.000 --> 0:19:37.280
<v Speaker 8>do not understand the biology. We do not understand how

0:19:37.280 --> 0:19:40.000
<v Speaker 8>the disease happened, how a disease evolved, and so we

0:19:40.040 --> 0:19:44.840
<v Speaker 8>are just trying things and some work, but very few work.

0:19:44.920 --> 0:19:47.280
<v Speaker 8>Most of them don't work because we're just trying and guessing.

0:19:47.800 --> 0:19:50.440
<v Speaker 8>If you look at biology, once we understand that something works,

0:19:50.800 --> 0:19:54.439
<v Speaker 8>then the industry can comes with very very good actions

0:19:54.760 --> 0:19:56.720
<v Speaker 8>to deal with those. So I think AI will accelerate

0:19:56.840 --> 0:19:59.680
<v Speaker 8>the understanding of biology, which would be fundamental to bring

0:19:59.720 --> 0:20:03.680
<v Speaker 8>new Then AI is already used to accelerate discovery in

0:20:03.760 --> 0:20:05.960
<v Speaker 8>terms of what tool do you go after a disease

0:20:06.000 --> 0:20:09.399
<v Speaker 8>once you understand it at modern already we have different

0:20:09.480 --> 0:20:12.960
<v Speaker 8>chemical matters that are generated by our AI system that

0:20:13.080 --> 0:20:16.000
<v Speaker 8>are helping us to accelerate the work that humans are doing.

0:20:16.000 --> 0:20:18.400
<v Speaker 8>So it's an accelerator to the teams. And then there's

0:20:18.400 --> 0:20:22.520
<v Speaker 8>a huge chapter on productivity. If you think about clinical

0:20:22.560 --> 0:20:26.400
<v Speaker 8>development phase one, two and three, it's basically doing experiment

0:20:26.440 --> 0:20:31.760
<v Speaker 8>in human getting the data, finding the doors, doing more experiment,

0:20:31.880 --> 0:20:34.479
<v Speaker 8>and when you have all studied on, you gather all

0:20:34.520 --> 0:20:37.360
<v Speaker 8>the data and you submit by realator. My point is

0:20:37.400 --> 0:20:40.399
<v Speaker 8>it's all about data. We are literally hundreds of business

0:20:40.480 --> 0:20:43.639
<v Speaker 8>processes that need to happen, and I think many of those,

0:20:43.720 --> 0:20:45.760
<v Speaker 8>if not most of those, you've got to be able

0:20:45.760 --> 0:20:49.440
<v Speaker 8>to apply AI to shrink time to go faster. An

0:20:49.440 --> 0:20:52.919
<v Speaker 8>example we shared in March in a Vaccine Day, the

0:20:52.960 --> 0:20:56.880
<v Speaker 8>team wrote a GPT to help us to do those selections.

0:20:56.920 --> 0:20:59.400
<v Speaker 8>When you do clinical study your phase one, you try

0:20:59.440 --> 0:21:01.720
<v Speaker 8>several those is and then based on the data you

0:21:01.760 --> 0:21:04.080
<v Speaker 8>get in the clinic, you decide which jows go into

0:21:04.080 --> 0:21:05.000
<v Speaker 8>your phase free.

0:21:05.400 --> 0:21:06.520
<v Speaker 5>Well, it used to.

0:21:06.520 --> 0:21:09.240
<v Speaker 8>Take around a monph to do that by having people

0:21:09.280 --> 0:21:11.879
<v Speaker 8>and meeting and experts looking at the data. Will we

0:21:11.920 --> 0:21:16.320
<v Speaker 8>develop a GPT that basically get all the data from

0:21:16.359 --> 0:21:19.439
<v Speaker 8>the clinical study and suggest to us a doose in

0:21:19.520 --> 0:21:22.480
<v Speaker 8>literally a minutes or two. That is already a tool

0:21:22.480 --> 0:21:25.680
<v Speaker 8>that has been developed that I've seen used at the company.

0:21:25.920 --> 0:21:27.760
<v Speaker 8>There's just one example. So here you go to shrink

0:21:27.800 --> 0:21:29.919
<v Speaker 8>them off. And if you do that on the hundreds

0:21:29.960 --> 0:21:32.680
<v Speaker 8>of business processes that have to happen in preparing the

0:21:32.760 --> 0:21:36.040
<v Speaker 8>drug for the clinic, the clinical testing, the analyzing of

0:21:36.080 --> 0:21:39.320
<v Speaker 8>the data, the communication with VFDA. I think you can

0:21:39.400 --> 0:21:41.679
<v Speaker 8>save a lot of time. I don't know yet, because

0:21:41.760 --> 0:21:44.000
<v Speaker 8>only history will show us in the next few years,

0:21:44.240 --> 0:21:46.960
<v Speaker 8>can you shave thirty percent, forty percent, fifty percent of

0:21:47.000 --> 0:21:49.440
<v Speaker 8>how many years it takes you to develop a drug?

0:21:49.520 --> 0:21:52.560
<v Speaker 2>I think it's going to be very significant. Stephan, We've

0:21:52.560 --> 0:21:54.320
<v Speaker 2>got to leave there. Is fantastic to catch up. This

0:21:54.800 --> 0:21:57.560
<v Speaker 2>amazing to listen to you talk about the efforts taking

0:21:57.560 --> 0:22:00.399
<v Speaker 2>place at Maderna. But then see have Stephan bands. This

0:22:00.600 --> 0:22:05.119
<v Speaker 2>is the Bloomberg Surveillance Podcast, bringing you the best in markets, economics,

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