WEBVTT - Fed in Holding Pattern on Interest Rates, December Cut Possible

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg business

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<v Speaker 1>Week Inside from the reporters and editors who bring you

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<v Speaker 1>America's most trusted business magazine, plus global business, finance and

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<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

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<v Speaker 1>and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Let's get to something else that is important on our radar,

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<v Speaker 2>and that is the US Central Bank, which kicked off

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<v Speaker 2>its two day meeting on monetary policy today. That FED decision,

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<v Speaker 2>of course, comes tomorrow at two pm Wall Street time.

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<v Speaker 3>Well earlier today, we got two data points. US consumer

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<v Speaker 3>confidence fell in April to the lowest since mid twenty

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<v Speaker 3>twenty two, as Americans view of the labor market in

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<v Speaker 3>their outlook for the economy deteriorated and a broad gauge

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<v Speaker 3>of labor costs Carol closely watched by the FED, increase

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<v Speaker 3>the most in a year, illustrating persistent wage pressures that

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<v Speaker 3>are keeping inflation elevators.

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<v Speaker 2>It ain't easy, That's the bottom line on all of this.

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<v Speaker 2>To put it all into perspective and how it may

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<v Speaker 2>impact potentially how the FED is thinking about US monetary policy.

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<v Speaker 2>Back with us is Steve Skanke he's chief economic advisor

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<v Speaker 2>at Killpoint, former US Treasury in White House National Security

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<v Speaker 2>Council staff member, and then also with US, of course,

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<v Speaker 2>is Yolena Schaletchiva, senior US economist ever at BNP Pariba

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<v Speaker 2>Yolena in New York City and Steve in DC. Elena,

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<v Speaker 2>I want to kick it off with you, if we may,

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<v Speaker 2>today's data once again reminding us that it is kind

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<v Speaker 2>of a bit of a tricky spot sometimes for the

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<v Speaker 2>FED to be in right now in terms of mixed

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<v Speaker 2>consumer data. That maybe makes it a little bit more

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<v Speaker 2>difficult to find the right way forward, if you will,

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<v Speaker 2>when it comes to monetary policy, what do you make

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<v Speaker 2>of the data and what is your economic forecast right now?

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<v Speaker 4>So I think today's data really supports our call for

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<v Speaker 4>the FED to stay on hold until December, but for

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<v Speaker 4>the next move to be a cut. So if you

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<v Speaker 4>look at inflation data today, wage inflation is still elevated,

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<v Speaker 4>so that does not give it enough confidence that they

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<v Speaker 4>can start moving anytime soon. So at the same time,

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<v Speaker 4>you look at the Conference Board data and in particular

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<v Speaker 4>the labor market differential, and that tells you that the

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<v Speaker 4>labor market is rebalancing. It's not overheating, and it's not

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<v Speaker 4>going back out of balance, it's actually getting back into balance.

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<v Speaker 4>And if you look at jobs are getting a little

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<v Speaker 4>bit harder to get. They're not as plentiful as just

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<v Speaker 4>a few months ago. So consumers are taking a signal

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<v Speaker 4>from what they hear, what they see in the labor market,

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<v Speaker 4>and they're telling us that. So I think the FED

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<v Speaker 4>is still going to cut rates, that's the next move,

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<v Speaker 4>not a hike, but I think they will have to

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<v Speaker 4>be patient and see how inflation subsides.

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<v Speaker 3>And Steve is that also your position over at kill

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<v Speaker 3>Point is that what you think is going to happen,

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<v Speaker 3>The Fed's next move will be a cut, but they

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<v Speaker 3>will stay on hold until while at the end of

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<v Speaker 3>this year December, like Jolena just spoke about.

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<v Speaker 5>Yeah, absolutely, Tim, I mean, the FED very much wants

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<v Speaker 5>to start cutting rates, but starter inflation and even strong

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<v Speaker 5>economic activity just have them in a holding pattern. The

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<v Speaker 5>FED is sort of stuck with a couple of things.

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<v Speaker 5>They need to have confidence that inflation is coming down,

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<v Speaker 5>and right now it's stall. The employment cost index is

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<v Speaker 5>annualizing at four point four percent, and the VET has

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<v Speaker 5>to depend on productivity growth, which has been annualizing around

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<v Speaker 5>two and a half percent, which gets them toward their

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<v Speaker 5>two percent inflation with wage growth, but that's a little

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<v Speaker 5>bit hard to depend on. The Other thing is, you know,

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<v Speaker 5>consumer competences has been up quite eight percent the last

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<v Speaker 5>two months, which is which is record growth. But from

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<v Speaker 5>the Copter Board numbers today, consumers are weary. They've been

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<v Speaker 5>they've been reducing savings to continue spending, and they continue

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<v Speaker 5>to be overwhelmed by high prices even though the rate

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<v Speaker 5>of inflation has been had been moving lower. And tell

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<v Speaker 5>a sort of got stuck.

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<v Speaker 3>Okay, so yeah, come on in you Lena, and talk

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<v Speaker 3>a little bit about where you think the Fed. How

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<v Speaker 3>do you think the Fed kind of deals with this,

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<v Speaker 3>because okay, Steve said, things are kind of stuck right now.

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<v Speaker 3>From you know, getting that last mile of inflation under control,

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<v Speaker 3>is it proving to be even stickier than the Fed

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<v Speaker 3>thought it would be.

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<v Speaker 4>Well, I think we will see continued deceleration in inflationary pressures.

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<v Speaker 4>We may even see some like two and a half

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<v Speaker 4>percent on core PC by Q three, which technically would

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<v Speaker 4>allow the IT to start easing. But then you know

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<v Speaker 4>election comes into play, and for you know, risk management purposes.

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<v Speaker 4>You may want to wait till December. I think we

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<v Speaker 4>will continue to see inflation to decelerate. Consumers as pending. Yes,

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<v Speaker 4>but they're spending because the labor market is doing great

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<v Speaker 4>and because their balance sheets are so healthy since they

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<v Speaker 4>deleveraged so much. But nonetheless there are some you know,

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<v Speaker 4>pockets of weakness here and there. So we mentioned consumer

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<v Speaker 4>confidence data today pointing to some signs of deceleration in

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<v Speaker 4>the labor market. We also see some pickup in delinquencies.

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<v Speaker 4>All these things that's pooked recessionary you know, fears last year.

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<v Speaker 4>They're still there. It's just not we're not talking recession

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<v Speaker 4>any but we are talking about some moderation in economic growth,

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<v Speaker 4>and we are talking about continued progress on inflation. The

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<v Speaker 4>FID just needs to be patient. They just need to

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<v Speaker 4>not overreact to one data point here and there, and

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<v Speaker 4>I think the conditions will be appropriate for them to

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<v Speaker 4>start adjusting rates slightly by the end of the year.

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<v Speaker 2>One thing I wanted to bring up, and I've been

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<v Speaker 2>thinking about this a lot, is you know, we keep saying, oh, no,

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<v Speaker 2>we need pressures. Oh my god, people are being paid

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<v Speaker 2>more money. How terrible that is because of the impact

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<v Speaker 2>on inflation. Isn't there some balance and Steve, let's bring

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<v Speaker 2>you back into the conversation. Isn't there some balance of like, no,

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<v Speaker 2>this is a good thing, and maybe we're moving more

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<v Speaker 2>towards a livable wages, especially for some hourly workers where

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<v Speaker 2>this isn't just a job for a teenager. They're supporting

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<v Speaker 2>their families and that ability then they can spend on things.

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<v Speaker 2>So what is that balance economically that you think about

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<v Speaker 2>or maybe you don't think about it, but I do

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<v Speaker 2>in terms of we're paying maybe workers maybe what they

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<v Speaker 2>at least should pay or are long overdue that they

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<v Speaker 2>haven't had the ability to have higher wages, and then

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<v Speaker 2>that translates into economic activity. That's a good thing.

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<v Speaker 5>Well that you're absolutely right, Carol, And Jerome Powell actually

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<v Speaker 5>thinks about that a lot. If you sort of go

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<v Speaker 5>back a couple of years, maybe three or four years,

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<v Speaker 5>even before the pandemic, he was talking about wage growth

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<v Speaker 5>being more broadly distributed throughout the labor force, and that

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<v Speaker 5>only sort of happens at as you come to at

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<v Speaker 5>the end of the economic cymcle. So for wages on

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<v Speaker 5>average to be up almost four and a half percent,

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<v Speaker 5>that is a good thing. And if we can rely

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<v Speaker 5>on productivity growth to continue in the neighborhood at two

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<v Speaker 5>and a half percent, that's how you actually raise standards

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<v Speaker 5>of living, particularly for some of the lower income groups.

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<v Speaker 5>But the FED is is flummixed by what's happening with

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<v Speaker 5>the metric for housing inflation for shelter. You know, if

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<v Speaker 5>you look at course course CPI inflation three point eight

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<v Speaker 5>percent twelve months ending in March, you can take out shelter,

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<v Speaker 5>it's two point four core PCEE inflation saying two point

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<v Speaker 5>eight percent twelve months ending in March. You take out

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<v Speaker 5>housing it was two point two percent. And not that

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<v Speaker 5>they can ignore housing inflation or shelter inflation, but we

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<v Speaker 5>all know that there's just some funniness about how that

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<v Speaker 5>gets calculated and how that factors in and the and

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<v Speaker 5>while the FED would like to cut rates to get

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<v Speaker 5>that economic benefit broadly distributed, they're sort of stuck with

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<v Speaker 5>the number that they've got.

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<v Speaker 2>I want to say thirty seconds for you, Elena, in

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<v Speaker 2>terms of this concept of higher wages, and you know,

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<v Speaker 2>some of that's good that people are finally maybe making

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<v Speaker 2>more money.

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<v Speaker 4>More money is good for sure, but you know you

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<v Speaker 4>need to have productivity growth and this is I totally agree,

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<v Speaker 4>uh that that's an essential part. So if you have productivity,

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<v Speaker 4>growing wage is not a problem. Unfortunately, I think productivity

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<v Speaker 4>growth is not going to accelerate here and not until

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<v Speaker 4>we get some AI enhancements. We have to rely on

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<v Speaker 4>label roles for now, and that's the issue at this point.

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<v Speaker 2>Well, the White has correspondence. They made a joke and

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<v Speaker 2>just said he journalists, get ready to your place.

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<v Speaker 3>I wasn't going to make that joke. I was just

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<v Speaker 3>gonna ask for the AI enhancement for doing the dishes.

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<v Speaker 2>That would about the product innovation and disruptions. Steve Skanky

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<v Speaker 2>and ITVA, thank you so much.

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<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 2>So let's get to ONSTOT. That is definitely a standout

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<v Speaker 2>performer in today's overall lower trade equity trade ELI Lilly's

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<v Speaker 2>share soaring up the most in more than nine months,

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<v Speaker 2>hitting an intry day record high. This as a brighter

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<v Speaker 2>outlook for twenty twenty four raise the potential ceiling for

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<v Speaker 2>new weight loss drugs even further in the eyes of

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<v Speaker 2>Allison investors. It's just on a tear.

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<v Speaker 3>It really is back with more on the company and

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<v Speaker 3>this investment play that continues to just dominate this year.

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<v Speaker 3>We got Bloomberg News health reporter Madison Muller here in

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<v Speaker 3>the studio. Madison, I'm wondering, what was the surprise here

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<v Speaker 3>when it came to Uh, it's a good question weight

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<v Speaker 3>loss drugs, because this doesn't surprise me, and I'm not

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<v Speaker 3>following this company as closely as.

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<v Speaker 6>These investors are. Yeah, we knew these things were gangbusters.

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<v Speaker 2>Yeah.

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<v Speaker 7>I think it's what's interesting is like I wasn't really

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<v Speaker 7>surprised by this either, given how much demand there is

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<v Speaker 7>for these products.

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<v Speaker 2>But I guess there was some investor and.

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<v Speaker 7>Analyst concern going into earnings because the shortages have been

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<v Speaker 7>so bad, and so they needed some reassurance that even

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<v Speaker 7>though there are widespread shortages, I mean people are driving

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<v Speaker 7>like three four hours to go to a pharmacy that

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<v Speaker 7>has zeb bound in stock, that Lily is still able

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<v Speaker 7>to sell enough of it, and to also see supply

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<v Speaker 7>getting better in the second half of the year and

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<v Speaker 7>into next year, you know, enough so that they can

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<v Speaker 7>raise their revenue guidance for the full year, raise their

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<v Speaker 7>profit guidance for the full year as well.

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<v Speaker 2>So there was I.

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<v Speaker 7>Think at first a little bit of relief and then

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<v Speaker 7>continue to optimism, Like any good news for Lily is

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<v Speaker 7>like great news automatically, So I think it it automatically

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<v Speaker 7>just pushed.

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<v Speaker 2>What do you say that more? Any good news is

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<v Speaker 2>great news for Lily.

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<v Speaker 7>The margin for error is so slim with them, like

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<v Speaker 7>if there is bad news, it really could affect them.

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<v Speaker 7>But I think it goes the opposite way too. There's

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<v Speaker 7>just there come everything the company does is so closely

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<v Speaker 7>watched and the smallest news is like ends up being

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<v Speaker 7>a big deal, especially when it comes to these weight

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<v Speaker 7>loss drugs, because so much is riding on them. So

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<v Speaker 7>it's just this is seen as you know, a great thing.

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<v Speaker 6>What's the risk there?

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<v Speaker 3>And I know that's where your head was going, Carol,

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<v Speaker 3>because if this is we're talking about.

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<v Speaker 2>Scale of zepbound on one side and all the other

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<v Speaker 2>drugs on the other, does.

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<v Speaker 6>A lot more than just GLP ones.

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<v Speaker 7>Here, Yeah, And that and that was the other really

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<v Speaker 7>interesting thing is even though they missed estimates in most

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<v Speaker 7>of their other key drugs, including Manduro, which is the

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<v Speaker 7>diabetes drug, diabetes version of zep bound, Trulicity, a diabetes

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<v Speaker 7>drug that's been a bestseller for several years now, for Xenio,

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<v Speaker 7>which is a breast cancer drug. They still raise their

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<v Speaker 7>revenue guidance, and you know, it was still seen as

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<v Speaker 7>like a very good result because the story is just

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<v Speaker 7>zet bound.

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<v Speaker 3>How much of their revenue comes from this class of drugs.

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<v Speaker 7>We know actually not, I would have to pull that up.

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<v Speaker 7>Zepbound is still I mean, Monduro is like in the billions.

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<v Speaker 7>Zepbound is still I think it was half a billion

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<v Speaker 7>this quarter. It was five hundred million, but it just

0:13:10.480 --> 0:13:15.840
<v Speaker 7>launched in December, so it's ramping up really quickly. And Trulicity,

0:13:15.880 --> 0:13:18.720
<v Speaker 7>which is also it's an earlier GLP one drug that

0:13:18.760 --> 0:13:21.040
<v Speaker 7>we don't really talk that much about. It's not very

0:13:21.080 --> 0:13:23.720
<v Speaker 7>good for weight loss, but it's great for glycemic control

0:13:23.760 --> 0:13:26.280
<v Speaker 7>and you know, helping control blood sugar for people with

0:13:26.320 --> 0:13:30.040
<v Speaker 7>type two diabetes. That drug is in shortage also in

0:13:30.080 --> 0:13:34.959
<v Speaker 7>the US and in Europe because there's they've been prioritizing

0:13:35.280 --> 0:13:36.400
<v Speaker 7>the newer medications.

0:13:36.880 --> 0:13:38.160
<v Speaker 2>Where is the supply chain.

0:13:39.080 --> 0:13:41.720
<v Speaker 7>It's I mean, they have supply I think they were

0:13:41.760 --> 0:13:45.120
<v Speaker 7>talking today on the call that there's like seven plants,

0:13:45.160 --> 0:13:48.800
<v Speaker 7>eight plants, and there's a lot in the US. There's

0:13:48.840 --> 0:13:52.160
<v Speaker 7>a plant in Ireland, but it is mostly in the US, actually,

0:13:52.200 --> 0:13:56.760
<v Speaker 7>and it is mostly They work with some contract manufacturers,

0:13:56.760 --> 0:13:59.680
<v Speaker 7>but most of the supply chain is controlled by Lily.

0:14:01.120 --> 0:14:03.280
<v Speaker 6>And are these for Eli Lilly.

0:14:03.280 --> 0:14:05.880
<v Speaker 3>I'm just looking at the FA page, the financial analysis

0:14:05.920 --> 0:14:08.520
<v Speaker 3>page in the Bloomberg terminal. Are they classified into the

0:14:08.520 --> 0:14:11.040
<v Speaker 3>diabetes category? Both of these even though one of them's

0:14:11.040 --> 0:14:11.839
<v Speaker 3>weight loss.

0:14:11.920 --> 0:14:14.680
<v Speaker 7>Zep bound shouldn't be okay, Yeah, because it's interesting because

0:14:14.679 --> 0:14:17.720
<v Speaker 7>now the diabetes category is now fifty seven point six

0:14:17.800 --> 0:14:20.880
<v Speaker 7>percent of revenue, right versus a couple of years ago

0:14:20.960 --> 0:14:23.240
<v Speaker 7>is forty six percent. Yeah, And Lily has always been,

0:14:23.320 --> 0:14:25.720
<v Speaker 7>I mean, diabetes is their bread and butter. They've always

0:14:25.800 --> 0:14:28.200
<v Speaker 7>been in diabetes. I think they were the first They

0:14:28.200 --> 0:14:31.000
<v Speaker 7>were the first US company to commercialize insulin, so like

0:14:31.080 --> 0:14:33.040
<v Speaker 7>this has been their story for a long time.

0:14:33.080 --> 0:14:35.000
<v Speaker 2>But I mean, insulin wasn't.

0:14:34.840 --> 0:14:38.720
<v Speaker 7>Really like a super profitable drug, and GLP ones are.

0:14:38.720 --> 0:14:43.080
<v Speaker 2>So that the two billion kickup in annual sales Madison

0:14:43.120 --> 0:14:45.000
<v Speaker 2>one thing I was curious about does that mean the

0:14:45.040 --> 0:14:47.720
<v Speaker 2>demand is that much more or the drug is costing more.

0:14:48.240 --> 0:14:51.640
<v Speaker 7>It's going to mostly be I think a result of

0:14:51.680 --> 0:14:55.520
<v Speaker 7>increased supply. So like they are selling everything that they

0:14:55.560 --> 0:14:58.520
<v Speaker 7>can make, and they set this goal of increasing like

0:14:58.600 --> 0:15:02.680
<v Speaker 7>the number of sellable do by one and a half

0:15:02.840 --> 0:15:05.320
<v Speaker 7>times whatever that means. But they're hoping that they can

0:15:05.680 --> 0:15:08.400
<v Speaker 7>make more sellable doses in the second half of the year.

0:15:08.440 --> 0:15:11.800
<v Speaker 2>The dosage, from what I understand, like you get different dosages,

0:15:11.800 --> 0:15:14.480
<v Speaker 2>I think, yes, well, individual pens, right, yeah, so in

0:15:14.840 --> 0:15:17.640
<v Speaker 2>in outside of the US, they have multi dose pens,

0:15:17.720 --> 0:15:20.440
<v Speaker 2>which you would think that they would roll that out

0:15:20.520 --> 0:15:23.880
<v Speaker 2>in the US because it helps with the number of

0:15:23.920 --> 0:15:26.800
<v Speaker 2>pens that they're making, which is holding up.

0:15:26.800 --> 0:15:28.360
<v Speaker 7>Like that's one of the reasons why they have these

0:15:28.360 --> 0:15:31.440
<v Speaker 7>supply bottlenecks, because the plastic injector pens are like so

0:15:31.600 --> 0:15:35.080
<v Speaker 7>complicated to make. But they're only doing these multi dose

0:15:35.120 --> 0:15:38.160
<v Speaker 7>pens outside of the US, which doesn't really make a

0:15:38.160 --> 0:15:43.520
<v Speaker 7>ton of sense. But yeah, so the doses those have

0:15:43.640 --> 0:15:45.920
<v Speaker 7>multiple doses obviously in them in the US, you have

0:15:46.360 --> 0:15:48.680
<v Speaker 7>four pens and each one contains one dose.

0:15:48.840 --> 0:15:50.800
<v Speaker 3>Who's coming for Eli Lilly at this point We talk

0:15:50.840 --> 0:15:53.160
<v Speaker 3>a lot about Novo, the European sort of sort of

0:15:53.200 --> 0:15:57.840
<v Speaker 3>counterpart the competitor here with Oozepic, But who in the

0:15:57.920 --> 0:15:59.600
<v Speaker 3>US is coming for Eli Lily?

0:15:59.800 --> 0:16:05.160
<v Speaker 7>So we have Bohringer Englheim, which is a private company

0:16:05.200 --> 0:16:07.000
<v Speaker 7>it's a little bit of a mouthful to say, but

0:16:07.080 --> 0:16:09.560
<v Speaker 7>they are also outside of the US. They're private company

0:16:10.280 --> 0:16:14.880
<v Speaker 7>Zeland Pharma as well. They're close behind. Then there's am Gen,

0:16:14.960 --> 0:16:17.840
<v Speaker 7>which is a US company. There's been a lot of

0:16:17.880 --> 0:16:21.880
<v Speaker 7>excitement about Amjin's drug because it's taken less frequently, It's

0:16:21.880 --> 0:16:24.200
<v Speaker 7>taken once a month instead of once a week. However,

0:16:24.280 --> 0:16:27.960
<v Speaker 7>they are still very far behind these other companies, you know,

0:16:28.080 --> 0:16:31.680
<v Speaker 7>behind Novo and Lily, and then Pfizer is still pretty

0:16:31.680 --> 0:16:33.840
<v Speaker 7>far behind as well. So like they do have a

0:16:33.880 --> 0:16:37.200
<v Speaker 7>really good head start on everyone else that's trying to

0:16:37.200 --> 0:16:39.640
<v Speaker 7>get into this market. And you know they're also trying

0:16:39.680 --> 0:16:43.360
<v Speaker 7>to develop a pill and different formulations, so like they

0:16:43.400 --> 0:16:45.920
<v Speaker 7>really they have a jump on everyone.

0:16:46.040 --> 0:16:48.160
<v Speaker 2>How is the focus on these which I get why

0:16:48.240 --> 0:16:50.520
<v Speaker 2>every drug company would be chasing it, right, I mean

0:16:50.520 --> 0:16:52.760
<v Speaker 2>you think about market size and just oh my god,

0:16:53.800 --> 0:16:56.040
<v Speaker 2>but what does it means not getting done? Or maybe

0:16:56.040 --> 0:16:57.000
<v Speaker 2>the focus isn't there.

0:16:57.640 --> 0:16:59.720
<v Speaker 7>It's a good point. I mean, we were looking recently

0:16:59.760 --> 0:17:03.200
<v Speaker 7>at like it's just interesting to see how the attention

0:17:03.360 --> 0:17:06.919
<v Speaker 7>has switched from COVID to GLP want totally covid to

0:17:06.960 --> 0:17:11.000
<v Speaker 7>weight loss. And this happens in the pharmaceutical industry. It's

0:17:11.040 --> 0:17:13.960
<v Speaker 7>like you know, when one company has success in a

0:17:14.000 --> 0:17:17.000
<v Speaker 7>certain area, then everyone sort of chases and follows behind.

0:17:17.080 --> 0:17:19.800
<v Speaker 7>And we are actually seeing this, which this is a

0:17:19.800 --> 0:17:21.959
<v Speaker 7>good thing. We're seeing this right now in heart disease

0:17:22.040 --> 0:17:27.320
<v Speaker 7>and in neurodegeneration as well. So there's been some advancements

0:17:27.320 --> 0:17:32.040
<v Speaker 7>in drugs for like Alzheimer's and Parkinson's and some mental

0:17:32.080 --> 0:17:36.199
<v Speaker 7>health conditions that now there's like a rush to to

0:17:36.359 --> 0:17:38.760
<v Speaker 7>innovate in that field again too, and same with heart disease.

0:17:38.840 --> 0:17:42.360
<v Speaker 7>So like there is actually some other advancements, but we're

0:17:42.359 --> 0:17:43.119
<v Speaker 7>just not talking about that.

0:17:43.240 --> 0:17:46.040
<v Speaker 3>We only have like thirty seconds madicone And this is question,

0:17:46.680 --> 0:17:49.280
<v Speaker 3>yeah that has requires a longer answer. But there has

0:17:49.320 --> 0:17:54.000
<v Speaker 3>been some pushback to these drugs. Not everybody sort of

0:17:54.000 --> 0:17:58.240
<v Speaker 3>on board, pointing outside effects and stuff. What's the latest there.

0:17:58.720 --> 0:18:02.240
<v Speaker 7>I think one of the biggest pushbacks recently has been price.

0:18:02.680 --> 0:18:04.639
<v Speaker 7>Like the Senator Bernie Sanders. We talked to him a

0:18:04.640 --> 0:18:07.119
<v Speaker 7>couple of weeks ago and he was saying that he

0:18:07.240 --> 0:18:09.280
<v Speaker 7>was gonna which I guess he did. Actually end up

0:18:09.320 --> 0:18:12.520
<v Speaker 7>calling the CEO of Nova Noordiskin talking to him about

0:18:12.600 --> 0:18:15.760
<v Speaker 7>the price of Ozembic and Wagovi. And now he's opening

0:18:16.040 --> 0:18:19.480
<v Speaker 7>a Senate committee investigation into the price. So that's been

0:18:19.520 --> 0:18:21.160
<v Speaker 7>a big area of pushback recently.

0:18:21.200 --> 0:18:24.000
<v Speaker 2>All right, great stuff, Hazoways Madison. Thanks, Bloomberg News Health

0:18:24.000 --> 0:18:26.560
<v Speaker 2>reporter Madison Muller a must read here at Bloomberg.

0:18:28.680 --> 0:18:32.520
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Listen live

0:18:32.640 --> 0:18:35.840
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0:18:35.840 --> 0:18:38.720
<v Speaker 1>and Android Auto with the Bloomberg Business App. You can

0:18:38.720 --> 0:18:41.960
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0:18:42.040 --> 0:18:47.200
<v Speaker 1>York station. Just say Alexa Play Bloomberg eleven thirty. Great.

0:18:47.240 --> 0:18:48.840
<v Speaker 2>Now, we want to shift gears a little bit because

0:18:48.880 --> 0:18:50.920
<v Speaker 2>we will be shifting gears big time after the close

0:18:50.960 --> 0:18:54.640
<v Speaker 2>when Amazon reports its latest earnings, and we are going

0:18:54.640 --> 0:18:56.720
<v Speaker 2>to be looking for a show me moment, especially when

0:18:56.720 --> 0:18:59.880
<v Speaker 2>it comes to what they are doing in AI, because

0:18:59.880 --> 0:19:02.159
<v Speaker 2>we've seen a play out, whether it was Google or Microsoft,

0:19:02.400 --> 0:19:04.359
<v Speaker 2>investors wanted to see and we saw some payoff.

0:19:04.600 --> 0:19:06.680
<v Speaker 3>Yeah, the world is, as it often seems, all about

0:19:06.760 --> 0:19:10.080
<v Speaker 3>jen Ai and machine learning and LMS. Is that enough

0:19:10.119 --> 0:19:14.520
<v Speaker 3>for you? Jenai machine learning LMS? Right, It's also its

0:19:14.520 --> 0:19:16.560
<v Speaker 3>evolution and next steps. Was this theme at a recent

0:19:16.720 --> 0:19:20.560
<v Speaker 3>BI event here at Bloomberg HQ that you moderated.

0:19:20.600 --> 0:19:21.240
<v Speaker 6>That was really cool.

0:19:21.320 --> 0:19:22.960
<v Speaker 2>It was a really fun panel. I learned a lot

0:19:23.080 --> 0:19:25.920
<v Speaker 2>and that was thanks to our next guest and who

0:19:26.000 --> 0:19:28.560
<v Speaker 2>was on the panel. We welcome Rouchie R. Puri, chief

0:19:28.560 --> 0:19:31.080
<v Speaker 2>scientist at IBM Research. He's here in our Bloomberg and

0:19:31.119 --> 0:19:34.320
<v Speaker 2>director Broker Studio. He's an inventor over seventy US patents,

0:19:34.359 --> 0:19:36.960
<v Speaker 2>has authored over one hundred scientific publications on AI for

0:19:37.080 --> 0:19:41.440
<v Speaker 2>code responsible AI, semi chip design, and so much more.

0:19:41.720 --> 0:19:44.399
<v Speaker 2>He also led IBM Watson as CTO and Chief Architect.

0:19:44.440 --> 0:19:46.760
<v Speaker 2>I could go on, but then we'd be done here.

0:19:46.800 --> 0:19:48.439
<v Speaker 2>I'm so glad you came in because I said to

0:19:48.640 --> 0:19:53.080
<v Speaker 2>you when we finished the panel that I kind of

0:19:53.160 --> 0:19:55.000
<v Speaker 2>learned a lot and I feel like I wanted to

0:19:55.080 --> 0:19:56.600
<v Speaker 2>kind of pick your brain a little bit more about

0:19:56.680 --> 0:19:59.120
<v Speaker 2>what are the smart conversations to be having about AI

0:19:59.240 --> 0:20:02.280
<v Speaker 2>that we have every day? What are the ones you're

0:20:02.280 --> 0:20:04.480
<v Speaker 2>having with your team back at IBM. What is it

0:20:04.520 --> 0:20:07.880
<v Speaker 2>that clients and customers are thinking about about where jen

0:20:07.960 --> 0:20:10.080
<v Speaker 2>ai takes them in the future.

0:20:10.400 --> 0:20:13.280
<v Speaker 8>So, first of all, Carol and Tim, thank you for

0:20:13.320 --> 0:20:16.800
<v Speaker 8>hosting me. I think this is We had a wonderful conversation,

0:20:16.920 --> 0:20:19.760
<v Speaker 8>but it's a pleasure to continue that conversation as well.

0:20:20.359 --> 0:20:24.040
<v Speaker 8>I would really say we are seeing infection point in

0:20:24.080 --> 0:20:27.960
<v Speaker 8>AI because we are seeing the sort of people playing

0:20:28.000 --> 0:20:31.760
<v Speaker 8>with things to now show me the money.

0:20:31.920 --> 0:20:33.439
<v Speaker 6>It's where is the value?

0:20:34.280 --> 0:20:39.120
<v Speaker 8>And that's exactly the narrative you are seeing roll out

0:20:39.960 --> 0:20:45.720
<v Speaker 8>and the rise of open not just open AI, but

0:20:45.800 --> 0:20:50.920
<v Speaker 8>the rise of open in movement, no Meta, many others.

0:20:50.960 --> 0:20:53.359
<v Speaker 8>IBM and many others are involved in it as well.

0:20:53.680 --> 0:20:58.560
<v Speaker 8>But small to medium size models are where things are

0:20:58.680 --> 0:21:02.159
<v Speaker 8>leading to because when you start to really scale AI

0:21:02.160 --> 0:21:06.720
<v Speaker 8>out in real production use cases, cost is certainly very

0:21:06.840 --> 0:21:12.919
<v Speaker 8>very important because the narrative becomes about scale and volumes,

0:21:13.840 --> 0:21:16.920
<v Speaker 8>and then you also start to look at.

0:21:16.800 --> 0:21:18.240
<v Speaker 6>Where is my data?

0:21:18.440 --> 0:21:22.919
<v Speaker 8>Because AI and data are very closely integrated together, you

0:21:22.960 --> 0:21:26.000
<v Speaker 8>want to bring AI to the data and the data

0:21:26.160 --> 0:21:27.119
<v Speaker 8>is kind of very heavy.

0:21:27.200 --> 0:21:30.879
<v Speaker 3>Actually, Richure, well, I just want to jump in here

0:21:30.920 --> 0:21:33.560
<v Speaker 3>because as Carol was introducing you, and I was reading

0:21:33.560 --> 0:21:34.840
<v Speaker 3>a bit about you earlier.

0:21:34.840 --> 0:21:36.359
<v Speaker 6>Today, I gotta.

0:21:36.119 --> 0:21:38.680
<v Speaker 3>Wonder professionally what this moment means for you, because this

0:21:38.720 --> 0:21:40.960
<v Speaker 3>is something that you've worked on for so many years

0:21:41.720 --> 0:21:46.399
<v Speaker 3>and it's now finally something that everybody's talking about. The

0:21:46.840 --> 0:21:49.000
<v Speaker 3>Wall Street is really taking seriously right now. I mean

0:21:50.000 --> 0:21:53.120
<v Speaker 3>fifteen years ago you were probably like baying your head

0:21:53.119 --> 0:21:55.679
<v Speaker 3>against the wall, being like, pay attention to this stuff.

0:21:56.000 --> 0:21:59.040
<v Speaker 8>We were in a winter. Actually you're all wearing parkas

0:21:59.080 --> 0:22:01.320
<v Speaker 8>and really in the deep of winter.

0:22:01.520 --> 0:22:04.119
<v Speaker 2>What change was it the first and capability? What was

0:22:04.160 --> 0:22:06.199
<v Speaker 2>it that changed? Like I keep saying this.

0:22:06.720 --> 0:22:12.360
<v Speaker 8>Point, Yeah, I would really say usually say it when

0:22:12.400 --> 0:22:18.160
<v Speaker 8>we started Jeopardy. Yeah, that was the start of the moment.

0:22:18.240 --> 0:22:19.840
<v Speaker 8>I say it honestly.

0:22:19.920 --> 0:22:22.480
<v Speaker 6>So you're talking about Watson on Jeopardy whats Poparty?

0:22:22.600 --> 0:22:25.480
<v Speaker 8>And that was the moment where I would say we

0:22:26.040 --> 0:22:30.359
<v Speaker 8>caused a spring of AI. We brought it from winter

0:22:30.480 --> 0:22:33.280
<v Speaker 8>to spring. We didn't result in summer. I think that

0:22:33.359 --> 0:22:37.439
<v Speaker 8>summer didn't arrive until that seventeen character URL and a

0:22:37.480 --> 0:22:41.119
<v Speaker 8>single tweet which had GPT that really brought this to

0:22:41.440 --> 0:22:46.360
<v Speaker 8>everyone's sort of desktop phone and so on, and that

0:22:46.440 --> 0:22:50.000
<v Speaker 8>to me is the summer where people really realized what

0:22:50.080 --> 0:22:54.359
<v Speaker 8>are the implications of this technology? Because we are now

0:22:54.400 --> 0:22:59.359
<v Speaker 8>introducing a new abstraction level in how people can interact

0:22:59.560 --> 0:23:04.640
<v Speaker 8>with miss genes, which is natural language, and that sort

0:23:04.680 --> 0:23:10.399
<v Speaker 8>of the narrative becomes so ubiquitous that it intersects with

0:23:10.720 --> 0:23:14.600
<v Speaker 8>every enterprise and every consumer use case.

0:23:15.119 --> 0:23:17.560
<v Speaker 2>At this point, is it all about chatch gypt? I mean,

0:23:17.560 --> 0:23:20.480
<v Speaker 2>is everybody that in your sphere, whether it's the client's

0:23:20.520 --> 0:23:22.920
<v Speaker 2>customers playing around with that? Is that the starting point?

0:23:23.600 --> 0:23:27.840
<v Speaker 8>I would say less so chat GPT, but definitely generative

0:23:27.880 --> 0:23:33.800
<v Speaker 8>AI itself is the starting point. But very soon the

0:23:34.000 --> 0:23:39.119
<v Speaker 8>conversation goes to I love it, but I need to

0:23:39.160 --> 0:23:41.560
<v Speaker 8>fit it in my use case? Can you bring it

0:23:42.359 --> 0:23:46.400
<v Speaker 8>in my hybrid environments? Because customers are or enterprises are

0:23:46.440 --> 0:23:49.080
<v Speaker 8>in a very hybrid environment. They've got a couple of

0:23:49.080 --> 0:23:52.200
<v Speaker 8>public clouds where their workloads are running, they've got their

0:23:52.280 --> 0:23:56.280
<v Speaker 8>own premises where workloads are running. And then they start

0:23:56.320 --> 0:23:59.119
<v Speaker 8>to worry about where do you run this stuff, how

0:23:59.840 --> 0:24:02.600
<v Speaker 8>do you on it, whether where my data is? Do

0:24:02.680 --> 0:24:04.640
<v Speaker 8>you bring it to my data or do I bring

0:24:04.720 --> 0:24:07.920
<v Speaker 8>data to you in the public cloud. And it's becoming

0:24:08.000 --> 0:24:11.080
<v Speaker 8>clear that hybrid cloud and AI are so closely tied

0:24:11.119 --> 0:24:11.600
<v Speaker 8>to each other.

0:24:11.680 --> 0:24:13.679
<v Speaker 2>Well, and I think about this for our audience. You know,

0:24:14.000 --> 0:24:17.000
<v Speaker 2>it was interesting yesterday when last week excuse me, when

0:24:17.040 --> 0:24:19.479
<v Speaker 2>medicine we're spending so much on AI, writ our capex

0:24:19.520 --> 0:24:22.040
<v Speaker 2>and everything was more and that they got penalized for

0:24:22.119 --> 0:24:25.360
<v Speaker 2>that the build out. And yet those companies that they're

0:24:25.440 --> 0:24:29.200
<v Speaker 2>going to be spending money with, whether it's chip makers

0:24:29.600 --> 0:24:32.359
<v Speaker 2>or that they were benefiting. And I keep thinking about

0:24:32.359 --> 0:24:35.359
<v Speaker 2>the investment landscape, like as you are working your way

0:24:35.400 --> 0:24:38.679
<v Speaker 2>through this, and obviously I am IBM rather is very

0:24:38.760 --> 0:24:40.960
<v Speaker 2>involved in this space. And certainly we talked about on

0:24:41.080 --> 0:24:44.560
<v Speaker 2>premise building out your own AI. That's that's you know,

0:24:44.720 --> 0:24:47.879
<v Speaker 2>your own offices or you know where you are working

0:24:48.200 --> 0:24:50.360
<v Speaker 2>versus having it up in the cloud. But having said that,

0:24:50.600 --> 0:24:53.680
<v Speaker 2>how are you thinking about it? Like who does is

0:24:53.720 --> 0:24:55.560
<v Speaker 2>it the build out? People that are really going to

0:24:55.600 --> 0:24:57.360
<v Speaker 2>initially and as we've.

0:24:57.200 --> 0:25:00.919
<v Speaker 8>Seen some I would really say real value will be

0:25:01.000 --> 0:25:04.840
<v Speaker 8>derived clearly so far in two places, one place where

0:25:05.240 --> 0:25:07.119
<v Speaker 8>one company in the world is minting money at this

0:25:07.160 --> 0:25:11.320
<v Speaker 8>point and VIDIA clear and sort of money flows to

0:25:11.359 --> 0:25:13.920
<v Speaker 8>the bottom because it's like you know, you're selling the shovels,

0:25:13.920 --> 0:25:16.240
<v Speaker 8>as they say at that point, and the second one

0:25:16.280 --> 0:25:19.840
<v Speaker 8>will be in the use cases, so it flows up

0:25:20.160 --> 0:25:22.199
<v Speaker 8>in the use cases or it flows to the bottom

0:25:22.280 --> 0:25:26.119
<v Speaker 8>in infrastructure. Those two places are clear winners actly, And

0:25:26.640 --> 0:25:28.560
<v Speaker 8>I would really say, from the point of view of

0:25:28.600 --> 0:25:32.160
<v Speaker 8>even on the infrastructure, we are in the early innings,

0:25:32.240 --> 0:25:34.440
<v Speaker 8>and I think I give this example when we sat

0:25:34.480 --> 0:25:39.960
<v Speaker 8>down last as well. The accelerators for AI are a

0:25:40.000 --> 0:25:44.880
<v Speaker 8>fast evolving space. And I usually say it whenever anybody

0:25:44.960 --> 0:25:48.040
<v Speaker 8>raises this word or says this word of artificial intelligence,

0:25:48.359 --> 0:25:51.760
<v Speaker 8>it always occurs to me, if something is artificial, there

0:25:51.800 --> 0:25:55.000
<v Speaker 8>must be something real, and that real is certainly among

0:25:55.080 --> 0:26:02.760
<v Speaker 8>three room in this room, and that consumes VOTs, lives

0:26:02.800 --> 0:26:06.240
<v Speaker 8>in a twelve hundred centimeter cube and runs on sandwiches

0:26:07.400 --> 0:26:13.160
<v Speaker 8>versus a single Nvidia GPU or any other GPU consumes

0:26:13.200 --> 0:26:16.199
<v Speaker 8>the latest one announced consumes one thousand warts, and you

0:26:16.280 --> 0:26:19.440
<v Speaker 8>need literally thousands of these. So I think just the

0:26:19.480 --> 0:26:25.600
<v Speaker 8>sheer energy efficiency of acceleration should be put in perspective

0:26:25.680 --> 0:26:28.560
<v Speaker 8>that we are in the early innings, and I'm extremely

0:26:28.600 --> 0:26:32.040
<v Speaker 8>excited about where this technology is going to take us.

0:26:32.359 --> 0:26:33.920
<v Speaker 3>One thing that I think in the early innings that

0:26:33.920 --> 0:26:35.720
<v Speaker 3>has gotten a lot of attention is how these models

0:26:35.720 --> 0:26:39.240
<v Speaker 3>are trained, and I'm wondering at IBM how you train

0:26:39.359 --> 0:26:40.480
<v Speaker 3>your AI models.

0:26:41.600 --> 0:26:45.560
<v Speaker 8>So for us, obviously we are closely partnered with Nvidia.

0:26:46.280 --> 0:26:49.840
<v Speaker 8>From a research point of view, we are doing significant

0:26:49.880 --> 0:26:52.040
<v Speaker 8>amount of research in this area in terms of as

0:26:52.080 --> 0:26:56.879
<v Speaker 8>we look into accelerators that will be evolving, and I

0:26:57.000 --> 0:26:59.880
<v Speaker 8>just talked about the energy efficiency. Our focus is on

0:27:00.320 --> 0:27:04.639
<v Speaker 8>energy efficiency, cost of deployment, and we are starting with

0:27:04.760 --> 0:27:08.320
<v Speaker 8>inferencing first because that's really the volumes game. And our

0:27:08.440 --> 0:27:11.840
<v Speaker 8>training is a lot on the Nvidia stack. But from

0:27:11.880 --> 0:27:15.520
<v Speaker 8>a hardware perspective and from a software perspective, we have

0:27:16.000 --> 0:27:18.639
<v Speaker 8>we have brought our own software stack. And this is

0:27:18.680 --> 0:27:22.000
<v Speaker 8>where I say it's about the hybrid cloud platform, that

0:27:22.920 --> 0:27:27.080
<v Speaker 8>layer that spreads across and makes the underlying hardware, if

0:27:27.080 --> 0:27:30.879
<v Speaker 8>I may say, ubiquitous from a consumption perspective.

0:27:30.600 --> 0:27:32.480
<v Speaker 2>Which here we only have about a minute left. Unfortunately,

0:27:32.520 --> 0:27:34.040
<v Speaker 2>I always feel like this is a topic that we

0:27:34.040 --> 0:27:35.640
<v Speaker 2>could spend a lot of time on it, but as

0:27:35.640 --> 0:27:38.480
<v Speaker 2>we kind of day in day out, we're talking about

0:27:38.480 --> 0:27:40.520
<v Speaker 2>a lot in earning season, whether it's a tech company

0:27:40.600 --> 0:27:43.040
<v Speaker 2>or not, of just how different companies are putting it

0:27:43.080 --> 0:27:45.280
<v Speaker 2>to work, or at least doing their spend. What do

0:27:45.440 --> 0:27:49.480
<v Speaker 2>you think is the smart kind of conversation we must

0:27:49.520 --> 0:27:52.840
<v Speaker 2>be having around AI, in addition to just the headlines

0:27:52.840 --> 0:27:54.960
<v Speaker 2>that keep coming at us how we look at things.

0:27:55.119 --> 0:27:57.880
<v Speaker 8>I would really say the first one should be around

0:27:58.480 --> 0:28:01.640
<v Speaker 8>I'd say responsible use of it like that's to me

0:28:01.800 --> 0:28:03.479
<v Speaker 8>is the most critical elements.

0:28:03.520 --> 0:28:04.640
<v Speaker 2>Does it terrify you a little bit?

0:28:06.320 --> 0:28:08.399
<v Speaker 8>I know it too well, so it terrifies me less.

0:28:08.480 --> 0:28:13.360
<v Speaker 8>I would say, there's a long pause, it terrifies me less.

0:28:13.400 --> 0:28:17.800
<v Speaker 8>Having said that, I think there are clear implications of

0:28:17.840 --> 0:28:22.640
<v Speaker 8>this technology and its responsible use and ethical use. That's

0:28:22.680 --> 0:28:25.080
<v Speaker 8>the first thing. So what I call governance of AI

0:28:25.359 --> 0:28:29.520
<v Speaker 8>right is critical to enterprise use cases. And then obviously

0:28:29.560 --> 0:28:32.840
<v Speaker 8>the bread and butter of productivity scale out of AI.

0:28:33.359 --> 0:28:36.640
<v Speaker 8>You know, really where of deployed, wherever I want it deployed,

0:28:36.640 --> 0:28:38.640
<v Speaker 8>and so on. But I would say I would put

0:28:38.840 --> 0:28:41.960
<v Speaker 8>at the top of the list the governance of AI

0:28:42.240 --> 0:28:44.800
<v Speaker 8>as it percolates across enterprise use cases.

0:28:45.120 --> 0:28:46.840
<v Speaker 2>Just twenty seconds, you think we're gonna get it right

0:28:47.080 --> 0:28:49.600
<v Speaker 2>considering kind of the some of the troubles we've had

0:28:49.600 --> 0:28:52.440
<v Speaker 2>with social media really quickly, I.

0:28:52.360 --> 0:28:54.880
<v Speaker 8>Would say I'm an optimistic person by choice.

0:28:55.000 --> 0:28:59.080
<v Speaker 2>Okay, we would get it right. Okay, Well I'm optimistic too,

0:28:59.160 --> 0:29:01.880
<v Speaker 2>so figures cross as well. Richard, thanks so much for

0:29:01.920 --> 0:29:04.240
<v Speaker 2>taking the trip and coming in. Richier Priory, his chief

0:29:04.280 --> 0:29:06.000
<v Speaker 2>scientist over at IBM Research.

0:29:06.760 --> 0:29:10.280
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:29:10.320 --> 0:29:13.560
<v Speaker 1>Live weekday afternoons from two to five pm Eastern Listen

0:29:13.600 --> 0:29:15.760
<v Speaker 1>on Apple car Play and then Broyt Auto with a

0:29:15.800 --> 0:29:19.960
<v Speaker 1>Bloomberg Business act or warn't us live on YouTube.

0:29:20.720 --> 0:29:22.720
<v Speaker 3>A lot of headlines out of Chattanooga, Tennessee over the

0:29:22.760 --> 0:29:23.320
<v Speaker 3>last few weeks.

0:29:23.360 --> 0:29:24.360
<v Speaker 6>He're just one of them, Carol.

0:29:24.400 --> 0:29:27.520
<v Speaker 3>Earlier this month, Volkswagen employees over at a Tennessee factory

0:29:28.240 --> 0:29:31.640
<v Speaker 3>voted to join the UAW that's in Chattanooga, a landmark

0:29:31.720 --> 0:29:34.680
<v Speaker 3>victory for the union organizing in the long hostel US South.

0:29:35.000 --> 0:29:36.520
<v Speaker 6>That vote certified today, by.

0:29:36.440 --> 0:29:39.600
<v Speaker 2>The way, interesting day and a lot happening generally in

0:29:39.680 --> 0:29:42.200
<v Speaker 2>Tennessee's fourth largest city. We've got back with us. Delighted

0:29:42.200 --> 0:29:44.680
<v Speaker 2>to have him, Tim Kelly, He's the Mayor of Chattanooga.

0:29:44.760 --> 0:29:47.320
<v Speaker 2>Right here in our Bloomberg Interactive Broker studio. We should

0:29:47.360 --> 0:29:51.240
<v Speaker 2>note last month Bloomberg Philanthropies naming Chattanooga one of twenty

0:29:51.240 --> 0:29:55.440
<v Speaker 2>five cities selected for its American Sustainable Cities Program. Bloomberg Philanthropies,

0:29:55.480 --> 0:29:57.800
<v Speaker 2>of course, founded and supported by Michael R. Bloomberg, founder

0:29:57.840 --> 0:30:01.000
<v Speaker 2>and majority owner of Bloomberg LP. Mayor Kelly, Nice to

0:30:01.040 --> 0:30:03.000
<v Speaker 2>have you in the house once again. How are you

0:30:03.000 --> 0:30:03.320
<v Speaker 2>in house?

0:30:03.360 --> 0:30:06.200
<v Speaker 9>Tele pleasure. We're We're doing great. Thank you. Yeah, things

0:30:06.200 --> 0:30:09.040
<v Speaker 9>are Things are great in Chattanooga. And again we'll just.

0:30:09.080 --> 0:30:12.080
<v Speaker 10>Always start as always do thanking Bloomberg because we are.

0:30:12.880 --> 0:30:15.080
<v Speaker 10>We've got a lot going on, particularly around the area

0:30:15.160 --> 0:30:18.760
<v Speaker 10>of energy management with EPBR or utility, and the Sustainable

0:30:18.760 --> 0:30:21.520
<v Speaker 10>Cities program is going to be hopefully really transformative for us.

0:30:21.520 --> 0:30:23.000
<v Speaker 2>All Right, we're hoping we can keep you in the

0:30:23.000 --> 0:30:24.600
<v Speaker 2>city for a moment and talk about something that's going

0:30:24.640 --> 0:30:25.160
<v Speaker 2>on uptown.

0:30:25.480 --> 0:30:27.480
<v Speaker 3>Yeah, you went to Columbia. You were there in the

0:30:27.520 --> 0:30:29.280
<v Speaker 3>nineteen eighties. If I did my math.

0:30:29.080 --> 0:30:33.720
<v Speaker 6>Correctly, that's correct for this. Okay, Yeah, so potentially you saw.

0:30:33.560 --> 0:30:36.000
<v Speaker 3>Some of the apartheid protests that were absolutely with this.

0:30:36.120 --> 0:30:37.880
<v Speaker 3>Then yeah, what do you think of what's going on

0:30:38.000 --> 0:30:38.400
<v Speaker 3>right now?

0:30:38.680 --> 0:30:44.920
<v Speaker 10>Well, it's it's predictable, but we were talking about that

0:30:44.960 --> 0:30:47.920
<v Speaker 10>all morning in a Strong Cities meeting and I think that,

0:30:48.040 --> 0:30:50.080
<v Speaker 10>you know, the challenges for mayors.

0:30:49.720 --> 0:30:51.600
<v Speaker 9>To to bring people together right.

0:30:52.360 --> 0:30:54.720
<v Speaker 10>And I don't think you can talk about this current

0:30:54.760 --> 0:30:57.720
<v Speaker 10>situation without thinking about the structural changes that have happened

0:30:58.480 --> 0:31:02.200
<v Speaker 10>in society since since then, since the eighties, namely social media, right,

0:31:02.280 --> 0:31:05.400
<v Speaker 10>And we've got to figure out a way to have

0:31:05.440 --> 0:31:08.960
<v Speaker 10>a constructive dialogue right together. And cities have I think

0:31:09.160 --> 0:31:11.160
<v Speaker 10>a very important part to play in that. But again,

0:31:12.200 --> 0:31:15.360
<v Speaker 10>I think it was Oh, I can't remember which former

0:31:15.440 --> 0:31:17.160
<v Speaker 10>president was that said, you know, it could be worse.

0:31:17.200 --> 0:31:18.840
<v Speaker 9>I could be a mayor. Well, it could be worse.

0:31:18.880 --> 0:31:20.000
<v Speaker 9>I could be a college president.

0:31:20.080 --> 0:31:23.960
<v Speaker 10>So there's always something right, there's always some.

0:31:24.600 --> 0:31:28.680
<v Speaker 2>Well, how do we create a better a world where

0:31:28.760 --> 0:31:31.000
<v Speaker 2>we can all have a conversation? You know, It's interesting.

0:31:31.000 --> 0:31:32.840
<v Speaker 2>One of the things I've loved about newsrooms, and maybe

0:31:32.880 --> 0:31:34.960
<v Speaker 2>I've been lucky to be in some really great newsrooms

0:31:34.960 --> 0:31:36.920
<v Speaker 2>where there's lots of smart people. Not everybody has the

0:31:36.920 --> 0:31:38.840
<v Speaker 2>same perspective, And as journalists, we coome on air and

0:31:39.200 --> 0:31:42.720
<v Speaker 2>we just listened to everybody else's perspectives, but we have conversations.

0:31:43.000 --> 0:31:45.800
<v Speaker 2>How do we get that again back?

0:31:46.120 --> 0:31:49.320
<v Speaker 9>Well again, I think we have We're up against.

0:31:49.000 --> 0:31:51.840
<v Speaker 10>It because you do in your city well building community.

0:31:51.840 --> 0:31:53.280
<v Speaker 10>I mean, I know it sounds very coomb by a

0:31:53.480 --> 0:31:55.240
<v Speaker 10>and I mean, but every city, the cities that are

0:31:55.240 --> 0:31:57.200
<v Speaker 10>doing a good job are i think, being more and

0:31:57.280 --> 0:32:01.240
<v Speaker 10>more intentional about bringing people together and counteracting that device

0:32:01.280 --> 0:32:01.760
<v Speaker 10>of narrative.

0:32:01.800 --> 0:32:03.320
<v Speaker 9>And again, what we've.

0:32:03.160 --> 0:32:06.080
<v Speaker 10>Seen is the cities were the strongest senses of place

0:32:06.560 --> 0:32:09.520
<v Speaker 10>are the places where you know, college campus is notwithstanding,

0:32:09.600 --> 0:32:12.400
<v Speaker 10>are the places that are most immune to this. Right,

0:32:12.480 --> 0:32:15.280
<v Speaker 10>So we do a lot of work, you know, on

0:32:15.440 --> 0:32:18.479
<v Speaker 10>parks and outdoors, stuff that used to seem trivial, but

0:32:18.640 --> 0:32:21.200
<v Speaker 10>I mean our social media channel for parks and outdoors

0:32:21.200 --> 0:32:23.600
<v Speaker 10>has the second biggest following of any parks and outdoors

0:32:23.640 --> 0:32:26.600
<v Speaker 10>department in the country. And you know, we do we

0:32:27.040 --> 0:32:28.920
<v Speaker 10>try to get people to think of Chattanooga's first and

0:32:28.920 --> 0:32:31.360
<v Speaker 10>foremost and think of them, you know, their neighbors and

0:32:31.400 --> 0:32:33.840
<v Speaker 10>what they have in common, not what divides them. And

0:32:33.880 --> 0:32:37.320
<v Speaker 10>again sounds very prosaic, but I think it's really really important.

0:32:37.360 --> 0:32:39.240
<v Speaker 10>And you know, the mayors I talk to spend more

0:32:39.280 --> 0:32:43.000
<v Speaker 10>and more time thinking about, you know, the things that

0:32:43.120 --> 0:32:47.040
<v Speaker 10>bring residents together and really doubling down on those things.

0:32:47.520 --> 0:32:49.960
<v Speaker 3>We talked to yesterday about crime, here in New York

0:32:49.960 --> 0:32:52.120
<v Speaker 3>coming down on the subways, Yeah, which is finally a

0:32:52.120 --> 0:32:53.920
<v Speaker 3>little bit of good news. But one thing we have

0:32:53.960 --> 0:32:56.040
<v Speaker 3>seen post pandemic, not just in New York but in

0:32:56.080 --> 0:32:58.880
<v Speaker 3>cities around the country is a rise in crime. Give

0:32:58.920 --> 0:33:02.200
<v Speaker 3>us an update on Chattanooga how it's looking, because that

0:33:02.240 --> 0:33:03.880
<v Speaker 3>goes hand in hand with the economic.

0:33:03.480 --> 0:33:05.840
<v Speaker 6>Development that you're trying to do. And absolutely well.

0:33:05.720 --> 0:33:07.760
<v Speaker 10>The statistics are all moving in the right direction. But

0:33:07.960 --> 0:33:12.920
<v Speaker 10>what we've seen, unfortunately, is this very strange disconnect where

0:33:13.280 --> 0:33:16.920
<v Speaker 10>people feel less safe in cities and that the feelings

0:33:17.200 --> 0:33:20.320
<v Speaker 10>are that crimes getting worse, and the stats are are

0:33:20.440 --> 0:33:23.080
<v Speaker 10>demonstrably that they're getting better. Right, And so I think

0:33:23.160 --> 0:33:24.920
<v Speaker 10>some of that goes back to the media environment, right,

0:33:24.960 --> 0:33:28.480
<v Speaker 10>because fear does sell better, and you know, certain I

0:33:28.480 --> 0:33:30.960
<v Speaker 10>don't think Bloomberg is particularly guilty of it, but certain

0:33:31.000 --> 0:33:34.840
<v Speaker 10>media outlets have leaned into that more than others, and

0:33:34.920 --> 0:33:37.520
<v Speaker 10>so we have to combat that. I mean, I will

0:33:37.560 --> 0:33:39.600
<v Speaker 10>say we have a we've had a rash of shootings

0:33:39.840 --> 0:33:42.480
<v Speaker 10>in Chattanooga. You know, again, I'm a member of Mayors

0:33:42.480 --> 0:33:45.680
<v Speaker 10>Against Illegal Guns and stolen guns account for a tremendous

0:33:46.480 --> 0:33:51.080
<v Speaker 10>disproportionate percentage of shootings in Chattanooga, and we still haven't

0:33:51.120 --> 0:33:53.320
<v Speaker 10>done anything meaningful at the state level.

0:33:53.120 --> 0:33:55.120
<v Speaker 9>About that, and we continue to have dialogue about how

0:33:55.120 --> 0:33:55.640
<v Speaker 9>we might change it.

0:33:55.680 --> 0:33:57.239
<v Speaker 2>You know, I was thinking about that conversation we had

0:33:57.240 --> 0:34:00.400
<v Speaker 2>with Joseph Stieglitz last week of Columbia. Of course no

0:34:00.440 --> 0:34:03.080
<v Speaker 2>Bel Lauria, but this concept of freedom, and he kind

0:34:03.080 --> 0:34:05.480
<v Speaker 2>of brought up Mayor Kelly, this idea that maybe we

0:34:05.480 --> 0:34:07.480
<v Speaker 2>have to broaden out how we think about freedom because

0:34:07.560 --> 0:34:10.520
<v Speaker 2>right now freedom folks who want to own guns say, well,

0:34:10.520 --> 0:34:13.040
<v Speaker 2>it's my right, it's my freedom, or you know, I

0:34:13.040 --> 0:34:14.960
<v Speaker 2>have the right to own guns. But at the same time,

0:34:15.280 --> 0:34:17.560
<v Speaker 2>potentially by using that gun, you take away somebody's freedom,

0:34:17.680 --> 0:34:18.479
<v Speaker 2>you take away their life.

0:34:18.600 --> 0:34:20.680
<v Speaker 3>Maybe kids don't have the freedom to go to school

0:34:20.719 --> 0:34:23.200
<v Speaker 3>without being fearful of guns.

0:34:22.880 --> 0:34:25.200
<v Speaker 2>And schools well exactly, you know what I mean. And

0:34:25.239 --> 0:34:27.239
<v Speaker 2>so you know, we've got to kind of figure out

0:34:27.360 --> 0:34:27.640
<v Speaker 2>how to do.

0:34:27.920 --> 0:34:29.759
<v Speaker 10>We have to figure we have to navigate it. I mean,

0:34:29.800 --> 0:34:32.560
<v Speaker 10>the you know, second moment, the second moment that you

0:34:32.600 --> 0:34:33.520
<v Speaker 10>know we're it.

0:34:33.480 --> 0:34:35.000
<v Speaker 2>Could be guns, it could be something else I think

0:34:35.000 --> 0:34:35.400
<v Speaker 2>we can.

0:34:35.280 --> 0:34:38.080
<v Speaker 10>Carry, but we are we're still trying to navigate that.

0:34:38.200 --> 0:34:40.239
<v Speaker 10>But you know, gun ownership comes with comes with a

0:34:40.280 --> 0:34:43.200
<v Speaker 10>heavy responsibility, and frankly where I'm focused is on more

0:34:43.239 --> 0:34:45.640
<v Speaker 10>practical ways that we can secure guns to keep them

0:34:45.719 --> 0:34:48.160
<v Speaker 10>out of the hands of because look, a stolen gun

0:34:48.239 --> 0:34:51.919
<v Speaker 10>is going to be used in a crime almost certainly, right,

0:34:51.960 --> 0:34:54.160
<v Speaker 10>So you know we're still working on but I will

0:34:54.160 --> 0:34:57.359
<v Speaker 10>emphasize Chattooga is a safe city. Again, if you look

0:34:57.360 --> 0:35:00.000
<v Speaker 10>at any measure that you want to look at homicide,

0:35:00.040 --> 0:35:04.080
<v Speaker 10>it's per per thousand or you know we are.

0:35:03.680 --> 0:35:05.040
<v Speaker 9>We're our a safe city.

0:35:05.080 --> 0:35:08.720
<v Speaker 10>But we do battle that the perception and we continue

0:35:08.719 --> 0:35:10.920
<v Speaker 10>to do that by again focusing on community and making

0:35:10.960 --> 0:35:12.280
<v Speaker 10>sure that we have a vibrant downtown.

0:35:12.480 --> 0:35:14.680
<v Speaker 3>Hey, I want to talk economic more on economic development

0:35:14.760 --> 0:35:18.480
<v Speaker 3>because Chattooga, Tennessee one of those places that you want

0:35:18.520 --> 0:35:22.640
<v Speaker 3>to make attractive to for remote workers. Yes, at the

0:35:22.680 --> 0:35:26.319
<v Speaker 3>same time, we've seen companies crack down on remote work.

0:35:26.960 --> 0:35:29.080
<v Speaker 3>Are you seeing that show up in your numbers at all?

0:35:29.600 --> 0:35:29.680
<v Speaker 7>No?

0:35:30.000 --> 0:35:32.279
<v Speaker 3>Are people having to leave because they get called back

0:35:32.320 --> 0:35:33.840
<v Speaker 3>to the office twice a week and they're like, I

0:35:33.880 --> 0:35:34.720
<v Speaker 3>can't live here anymore.

0:35:34.719 --> 0:35:36.200
<v Speaker 6>I have to go back to a different city.

0:35:36.280 --> 0:35:38.480
<v Speaker 10>We have not seen that yet. I do think, you know,

0:35:38.600 --> 0:35:42.520
<v Speaker 10>labor has a lot more power as you started the segment,

0:35:42.600 --> 0:35:46.800
<v Speaker 10>then we may realize And so even our big anchor

0:35:47.960 --> 0:35:50.799
<v Speaker 10>employers are really either two on three off, three on

0:35:50.920 --> 0:35:52.160
<v Speaker 10>two off, something like that.

0:35:53.040 --> 0:35:55.560
<v Speaker 2>So we're not they weren't before a pandemic, which they.

0:35:55.480 --> 0:35:58.120
<v Speaker 10>Were not before the pandemic, and so we're still trying

0:35:58.120 --> 0:36:01.240
<v Speaker 10>to again find the balance. Mean, look from the stampone

0:36:01.280 --> 0:36:04.480
<v Speaker 10>of downtown vitality. I'd love to see all the major employers.

0:36:04.000 --> 0:36:05.520
<v Speaker 9>Call everybody back in selfishly.

0:36:06.000 --> 0:36:08.400
<v Speaker 10>But at the same time, as you say, we have

0:36:08.400 --> 0:36:10.680
<v Speaker 10>a lot of remote workers because of our super fast

0:36:10.680 --> 0:36:14.799
<v Speaker 10>fiber in Chattanooga. So we're finding the equilibrium. But I

0:36:14.800 --> 0:36:16.480
<v Speaker 10>have not seen a dramatic shift in that regard.

0:36:16.600 --> 0:36:18.399
<v Speaker 2>You could change one thing right now in your city,

0:36:18.400 --> 0:36:19.000
<v Speaker 2>what would it be.

0:36:19.800 --> 0:36:23.720
<v Speaker 10>Wow, that's a great one. I would I would preserve

0:36:23.800 --> 0:36:26.400
<v Speaker 10>more park space. I think our competitive advantage in Chattanooga

0:36:26.440 --> 0:36:32.200
<v Speaker 10>really is our outdoors, phenomenal outdoor space, and we're growing fast,

0:36:32.360 --> 0:36:35.279
<v Speaker 10>but we really only get one chance to preserve the

0:36:35.880 --> 0:36:39.399
<v Speaker 10>stuff that really is our competitive advantage, and so we're

0:36:39.400 --> 0:36:40.840
<v Speaker 10>in a kind of a race against the clock in

0:36:40.840 --> 0:36:41.200
<v Speaker 10>that regard.

0:36:41.320 --> 0:36:43.880
<v Speaker 2>Is it the pressure to develop it and build.

0:36:44.000 --> 0:36:48.719
<v Speaker 10>Well, yes, yes, that before it gets to unaffordable right,

0:36:48.880 --> 0:36:51.120
<v Speaker 10>and we are trying to set us out as much

0:36:51.120 --> 0:36:52.840
<v Speaker 10>capital as we can, but we almost can't do it

0:36:52.880 --> 0:36:53.439
<v Speaker 10>fast enough.

0:36:54.719 --> 0:36:56.000
<v Speaker 6>I don't know if you know this, but we're in

0:36:56.040 --> 0:36:56.759
<v Speaker 6>an election year.

0:36:57.000 --> 0:36:58.600
<v Speaker 9>I've heard somebody mentioned that too.

0:36:58.719 --> 0:37:01.399
<v Speaker 3>Yeah, And I'm we're asking a lot of our guests

0:37:01.400 --> 0:37:03.640
<v Speaker 3>who come on the program questions about this, because whether

0:37:03.719 --> 0:37:07.799
<v Speaker 3>they're in politics or not, they're in politics, you're.

0:37:07.680 --> 0:37:09.359
<v Speaker 2>Going to run for the White House or something.

0:37:09.480 --> 0:37:13.480
<v Speaker 3>Well, I am curious, you're an independent, yes, So do

0:37:13.520 --> 0:37:18.080
<v Speaker 3>you find that you still get stuck in the national

0:37:18.120 --> 0:37:20.839
<v Speaker 3>politics the dialogue that happened of course.

0:37:20.760 --> 0:37:23.880
<v Speaker 10>Of course, and so my and there are a lot

0:37:23.920 --> 0:37:26.320
<v Speaker 10>of other really great mayors. I was just with Ron Nurrenberg,

0:37:26.360 --> 0:37:28.399
<v Speaker 10>who was one of my favorite other mayor's, the mayor

0:37:28.400 --> 0:37:30.960
<v Speaker 10>of San Antonio, who has a very similar approach, and

0:37:31.040 --> 0:37:32.719
<v Speaker 10>I think what he would say and what I would

0:37:32.719 --> 0:37:35.920
<v Speaker 10>say is that our job is to translate back into

0:37:36.000 --> 0:37:39.560
<v Speaker 10>the practical terms of what makes a policy makes sense

0:37:40.200 --> 0:37:41.000
<v Speaker 10>or doesn't make sense.

0:37:41.080 --> 0:37:42.799
<v Speaker 9>I was also just with Bill Padudo.

0:37:42.440 --> 0:37:45.279
<v Speaker 10>A former mayor of Pittsburgh who famously said there are

0:37:45.320 --> 0:37:47.440
<v Speaker 10>really three political parties here said this. I think on

0:37:47.480 --> 0:37:51.120
<v Speaker 10>my last appearance for Republicans, Democrats and mayors. Right, So

0:37:51.280 --> 0:37:52.680
<v Speaker 10>it's not that it doesn't matter.

0:37:52.880 --> 0:37:54.080
<v Speaker 6>I mean, we will.

0:37:54.680 --> 0:37:56.040
<v Speaker 10>I mean again, I'm a big fan of what the

0:37:56.080 --> 0:37:59.080
<v Speaker 10>bid administration has done with then IJA and BIL. These

0:37:59.120 --> 0:38:03.760
<v Speaker 10>are really important infrastructure programs that have that are going

0:38:03.800 --> 0:38:07.560
<v Speaker 10>to pay dividends in terms of GDP growth for for years.

0:38:08.080 --> 0:38:10.680
<v Speaker 10>I'm an OECD champion, mayor, and they just did a

0:38:10.680 --> 0:38:13.799
<v Speaker 10>really interesting white paper about how the United States is

0:38:14.040 --> 0:38:18.040
<v Speaker 10>behind our OECD peers in terms of infrastructure investment and Tennessee,

0:38:18.120 --> 0:38:20.200
<v Speaker 10>by the way, is below the national average. Right, and

0:38:20.280 --> 0:38:22.600
<v Speaker 10>this is what drives GDP growth. So if you're worried

0:38:22.600 --> 0:38:27.840
<v Speaker 10>about retiring debt, ironically right this these are the programs

0:38:27.880 --> 0:38:31.120
<v Speaker 10>that we that this country needs in order to really

0:38:31.160 --> 0:38:32.640
<v Speaker 10>be in good stead and in.

0:38:32.520 --> 0:38:35.600
<v Speaker 2>The long term for in terms of promoting longer term growth.

0:38:35.600 --> 0:38:35.960
<v Speaker 9>Correct.

0:38:36.040 --> 0:38:38.960
<v Speaker 2>Ultimately, yeah, many would argue or continue to argue it's

0:38:39.000 --> 0:38:41.479
<v Speaker 2>way overdue. Tim Kelly, thank you so much, of course,

0:38:41.520 --> 0:38:49.600
<v Speaker 2>Mayor of Chattanooga, joining us right here in studio, Marc.

0:38:51.239 --> 0:38:53.400
<v Speaker 5>A journal Now about you.

0:38:53.400 --> 0:38:53.919
<v Speaker 11>Let me drive?

0:38:54.440 --> 0:39:01.479
<v Speaker 10>No, no, no, honey, please gravel great, I want to drive.

0:39:03.719 --> 0:39:04.640
<v Speaker 3>It's a good question.

0:39:08.440 --> 0:39:12.080
<v Speaker 6>This is the drive to the clothes doing well.

0:39:12.000 --> 0:39:14.840
<v Speaker 9>By on Bloomberg Radio.

0:39:15.040 --> 0:39:17.400
<v Speaker 2>All right, everybody, just by eighteen minutes left in today's

0:39:17.400 --> 0:39:20.719
<v Speaker 2>trading session, getting ready to wrap up the Tuesday trade.

0:39:20.719 --> 0:39:22.200
<v Speaker 2>Bit of a corse. We have a bunch of earnings

0:39:22.239 --> 0:39:24.640
<v Speaker 2>coming your way after the closing fouls.

0:39:24.680 --> 0:39:27.680
<v Speaker 3>Okay, So the one that we're all waiting for is Amazon. Yeah,

0:39:27.719 --> 0:39:31.920
<v Speaker 3>sent across just after four o'clock. I think it'll happen. Yeah,

0:39:31.960 --> 0:39:36.080
<v Speaker 3>I think it'll happen too. Caesar's Entertainment is going to happen. Pinterest,

0:39:36.560 --> 0:39:40.360
<v Speaker 3>we get Starbucks, Mandolei's as well, among many others.

0:39:40.440 --> 0:39:43.200
<v Speaker 2>Amazon's at eighteen percent so far here in twenty twenty four.

0:39:44.080 --> 0:39:47.480
<v Speaker 2>But it'll be interesting. Certainly, cloud always important, right. They

0:39:47.600 --> 0:39:52.840
<v Speaker 2>are the largest when it comes to the cloud services industry,

0:39:52.880 --> 0:39:55.359
<v Speaker 2>of course, though we've seen a lot of competition from

0:39:55.400 --> 0:39:57.920
<v Speaker 2>the likes of Microsoft and also Alphabet's Google, which of

0:39:57.920 --> 0:40:02.120
<v Speaker 2>course we got their results last week, and safe to

0:40:02.160 --> 0:40:05.239
<v Speaker 2>say that they've set the bar really high, especially when

0:40:05.239 --> 0:40:07.880
<v Speaker 2>it comes to the AI spending or using jen Ai

0:40:08.040 --> 0:40:11.799
<v Speaker 2>ai if you will to actually, you know, create some

0:40:11.880 --> 0:40:14.480
<v Speaker 2>business and move some of the numbers to the upside

0:40:14.520 --> 0:40:15.399
<v Speaker 2>on the balance sheet.

0:40:15.440 --> 0:40:18.040
<v Speaker 3>I think also worth remembering what happened to Meta platforms,

0:40:18.080 --> 0:40:20.239
<v Speaker 3>the parent company of Facebook last week. You mentioned this

0:40:20.239 --> 0:40:22.200
<v Speaker 3>a couple of times already today, Carol, when it said

0:40:22.200 --> 0:40:23.680
<v Speaker 3>that it was making a big investment.

0:40:25.440 --> 0:40:26.960
<v Speaker 6>We got punished. She just got punished.

0:40:27.000 --> 0:40:29.319
<v Speaker 2>Absolutely. They're like, Okay, I get it, but you know,

0:40:29.360 --> 0:40:30.759
<v Speaker 2>we just want to see the payoff and what if

0:40:30.760 --> 0:40:32.719
<v Speaker 2>you spend too much? So this is why it'll be

0:40:32.760 --> 0:40:35.520
<v Speaker 2>interesting to see the kind of payoff, particularly when it

0:40:35.520 --> 0:40:37.920
<v Speaker 2>comes to AI, specifically on Amazon.

0:40:37.960 --> 0:40:38.239
<v Speaker 9>All right.

0:40:38.280 --> 0:40:40.800
<v Speaker 2>In the meantime, we've got a down date, Charlie breaking

0:40:40.840 --> 0:40:43.120
<v Speaker 2>down the numbers. We're down more than one percent across

0:40:43.160 --> 0:40:45.400
<v Speaker 2>the board on all of the major equity averages. So

0:40:45.480 --> 0:40:47.360
<v Speaker 2>let's get to it. Our drive to the closed guest

0:40:47.360 --> 0:40:50.319
<v Speaker 2>on this Tuesday, Michael Sheldon. He's executive director over at

0:40:50.320 --> 0:40:53.239
<v Speaker 2>our DM Financial Group. Michael, great to be talking with

0:40:53.280 --> 0:40:57.960
<v Speaker 2>you once again. A lot of earnings. We're going to

0:40:58.000 --> 0:40:59.480
<v Speaker 2>get a big one after the closing bell.

0:40:59.600 --> 0:41:00.000
<v Speaker 6>How are you?

0:41:00.000 --> 0:41:03.360
<v Speaker 2>Thank you looking at the market against the backdrop and

0:41:03.400 --> 0:41:04.799
<v Speaker 2>fundamentals of earning so far.

0:41:06.120 --> 0:41:07.560
<v Speaker 11>Hi, thanks very much for having me.

0:41:09.000 --> 0:41:09.080
<v Speaker 5>So.

0:41:09.360 --> 0:41:11.280
<v Speaker 11>About fifty percent of the S and P five hundred

0:41:11.320 --> 0:41:13.560
<v Speaker 11>earnings are companies in the S and P five hundred

0:41:13.600 --> 0:41:17.680
<v Speaker 11>are reported so far, and a majority of actually beating

0:41:17.800 --> 0:41:20.560
<v Speaker 11>estimates by more than the average beat that we've seen

0:41:20.600 --> 0:41:22.840
<v Speaker 11>over the past several years. So earnings are coming through

0:41:23.239 --> 0:41:26.800
<v Speaker 11>better than expected. I think the issue with the markets today, Unfortunately,

0:41:26.840 --> 0:41:30.279
<v Speaker 11>the markets are under pressure because the inflation data we

0:41:30.360 --> 0:41:33.400
<v Speaker 11>got in the ECI this morning. The employee cost index

0:41:33.440 --> 0:41:36.160
<v Speaker 11>once again was another indicator that inflation is a little

0:41:36.160 --> 0:41:39.200
<v Speaker 11>bit hotter than expected. So I wouldn't be surprised to

0:41:39.200 --> 0:41:41.640
<v Speaker 11>see a little bit of a pullback maybe or a

0:41:41.719 --> 0:41:44.399
<v Speaker 11>high trading range within the market. We could go back

0:41:44.440 --> 0:41:46.920
<v Speaker 11>and test maybe the forty eight hundred level for the

0:41:46.960 --> 0:41:49.600
<v Speaker 11>S and P five hundred, which was the breakout level

0:41:49.600 --> 0:41:53.279
<v Speaker 11>back in January, over the next few months or so.

0:41:53.400 --> 0:41:56.239
<v Speaker 11>But earnings overall have come in better than expected so far.

0:41:56.560 --> 0:41:58.440
<v Speaker 6>Ay buying opportunity. If we do go back to that

0:41:58.440 --> 0:41:59.640
<v Speaker 6>forty eight hundred level.

0:42:00.520 --> 0:42:03.000
<v Speaker 11>Yeah, I think that's likely the case. The economy overall

0:42:03.000 --> 0:42:05.799
<v Speaker 11>has been very resilient over the past three months. We've

0:42:05.840 --> 0:42:08.200
<v Speaker 11>generated I think about two hundred and seventy six thousand

0:42:08.280 --> 0:42:13.520
<v Speaker 11>jobs per month, unless the consumer really starts to turn lower,

0:42:13.760 --> 0:42:17.120
<v Speaker 11>and we haven't seen that yet. Again, remember consumer spending

0:42:17.120 --> 0:42:20.320
<v Speaker 11>represents about two thirds of the economy. The economy should

0:42:20.320 --> 0:42:23.080
<v Speaker 11>be okay, and the real question is what does the

0:42:23.120 --> 0:42:25.879
<v Speaker 11>FED do about all this? So I think right now

0:42:25.920 --> 0:42:29.080
<v Speaker 11>the timing of future rate cuts is somewhat uncertain. I

0:42:29.080 --> 0:42:31.080
<v Speaker 11>think the Fed really does want to cut rates, and

0:42:31.640 --> 0:42:34.040
<v Speaker 11>the Fed shifted policy in the fall of last year,

0:42:34.040 --> 0:42:36.360
<v Speaker 11>if remember, and that sort of helped the economy and

0:42:36.400 --> 0:42:38.920
<v Speaker 11>the markets go on this five month winning streak. So

0:42:38.960 --> 0:42:40.600
<v Speaker 11>we're sort of working off a little bit of that

0:42:40.719 --> 0:42:42.959
<v Speaker 11>right now, and that could just take a little time.

0:42:43.080 --> 0:42:46.080
<v Speaker 2>Does it really matter for do you believe in equity?

0:42:46.239 --> 0:42:48.560
<v Speaker 2>For investment equity investors, whether or not the Fed really

0:42:48.600 --> 0:42:52.000
<v Speaker 2>ultimately cuts this year is a few basis points or

0:42:52.000 --> 0:42:53.600
<v Speaker 2>a quarter of a point or a half a point,

0:42:53.760 --> 0:42:55.880
<v Speaker 2>is it going to really make that much of a difference,

0:42:55.960 --> 0:42:59.799
<v Speaker 2>especially if consumers continue to spend Wages are you know,

0:43:01.719 --> 0:43:04.600
<v Speaker 2>workers are making more money. That that's a good thing

0:43:04.640 --> 0:43:06.960
<v Speaker 2>and it'll keep some economic momentum. And as long as

0:43:07.000 --> 0:43:09.239
<v Speaker 2>people stay employed, that's a good thing.

0:43:10.160 --> 0:43:10.319
<v Speaker 5>Yeah.

0:43:10.360 --> 0:43:14.200
<v Speaker 11>I think that's the most important factor. Individuals have jobs

0:43:14.680 --> 0:43:17.480
<v Speaker 11>or wages rising. So wages are rising but less than

0:43:17.480 --> 0:43:20.719
<v Speaker 11>they were before. But as long as the consumers have

0:43:20.840 --> 0:43:23.160
<v Speaker 11>jobs for the most part. I think that should continue

0:43:23.160 --> 0:43:26.480
<v Speaker 11>to help support the economy. Ultimately, I think the issue

0:43:26.480 --> 0:43:29.080
<v Speaker 11>for the market maybe if the two year is back

0:43:29.120 --> 0:43:31.360
<v Speaker 11>above five percent, and I think the ten years around

0:43:31.440 --> 0:43:34.239
<v Speaker 11>four seventy five or so, So I mean, if the

0:43:34.280 --> 0:43:38.200
<v Speaker 11>ten year gets above five percent or starts to rise rapidly,

0:43:38.440 --> 0:43:41.640
<v Speaker 11>that'll probably cause some concern, especially for over leveraged companies

0:43:41.800 --> 0:43:46.799
<v Speaker 11>or companies that have floating rate debt. But I think

0:43:46.840 --> 0:43:49.120
<v Speaker 11>overall the economy can continue to do well as long

0:43:49.160 --> 0:43:51.239
<v Speaker 11>as interest rates sort of stabilize or don't go up

0:43:51.280 --> 0:43:51.920
<v Speaker 11>too rapidly.

0:43:52.280 --> 0:43:55.360
<v Speaker 3>Do you think I mean that is that something we

0:43:55.360 --> 0:43:58.120
<v Speaker 3>could test in the next few months. Five percent on

0:43:58.160 --> 0:43:59.120
<v Speaker 3>the tenure again.

0:44:01.239 --> 0:44:03.839
<v Speaker 11>I wouldn't be overly surprised. At this point. We get

0:44:03.840 --> 0:44:07.239
<v Speaker 11>a couple more big economic data points this week, we

0:44:07.280 --> 0:44:10.399
<v Speaker 11>get the jobs report coming out on Friday. Everybody keeps

0:44:10.400 --> 0:44:13.399
<v Speaker 11>thinking the employment data is going to slow. One thing

0:44:13.400 --> 0:44:15.879
<v Speaker 11>that people aren't encounter aren't thinking about is the fact

0:44:15.880 --> 0:44:18.960
<v Speaker 11>that immigration numbers have really gone up a lot over

0:44:19.000 --> 0:44:21.920
<v Speaker 11>the past twelve months or so, so that's helping generate

0:44:22.040 --> 0:44:26.040
<v Speaker 11>increased job growth that we haven't had before. I think overall,

0:44:26.280 --> 0:44:29.880
<v Speaker 11>interest rates probably have a ceiling, because, believe it or not,

0:44:29.920 --> 0:44:32.719
<v Speaker 11>everyone's people have been talking about the lagged impact of

0:44:32.760 --> 0:44:35.480
<v Speaker 11>all the rate increases we've already had, and some of

0:44:35.520 --> 0:44:38.120
<v Speaker 11>that really probably hasn't made it into the system yet.

0:44:38.400 --> 0:44:42.040
<v Speaker 11>So inflation has come down a lot, and that ultimately

0:44:42.160 --> 0:44:45.480
<v Speaker 11>should allow the Fed to gently start to lower rates.

0:44:46.000 --> 0:44:48.399
<v Speaker 11>The perfect scenario would be sort of nineteen ninety four

0:44:48.520 --> 0:44:50.759
<v Speaker 11>ninety five, So we'll see if that plays out.

0:44:50.840 --> 0:44:52.560
<v Speaker 2>Yeah, it's kind of interesting that we're thinking, all right,

0:44:52.560 --> 0:44:54.120
<v Speaker 2>wait a minute. You know, we were talking about the

0:44:54.120 --> 0:44:56.239
<v Speaker 2>FED raising rates for so long and in this rate

0:44:56.640 --> 0:44:59.640
<v Speaker 2>hiking cycle for so long that you forget that weight.

0:44:59.640 --> 0:45:03.319
<v Speaker 2>It's working its way through the economy and certainly through

0:45:03.360 --> 0:45:05.719
<v Speaker 2>the financial system. So it's something to kind of keep

0:45:05.719 --> 0:45:06.160
<v Speaker 2>in mind.

0:45:06.239 --> 0:45:10.600
<v Speaker 3>By the way, Carol, the employment report on Friday, Yeah,

0:45:10.600 --> 0:45:12.920
<v Speaker 3>two hundred and forty thousand is what economists surveyed by

0:45:12.920 --> 0:45:15.520
<v Speaker 3>Bloomberg are expecting for a change in non firm payils

0:45:15.600 --> 0:45:17.040
<v Speaker 3>last month three oh three.

0:45:17.160 --> 0:45:18.520
<v Speaker 2>But see, this is where I would go back to

0:45:18.560 --> 0:45:20.320
<v Speaker 2>Michael and something I've been thinking a lot about in

0:45:20.400 --> 0:45:22.640
<v Speaker 2>terms of wage increases. I get how that plays into

0:45:22.640 --> 0:45:26.200
<v Speaker 2>the inflationary picture, but I also think good for workers

0:45:26.280 --> 0:45:29.279
<v Speaker 2>who maybe haven't been working making a lot of money

0:45:29.320 --> 0:45:31.200
<v Speaker 2>for a long time. But that also means that they

0:45:31.239 --> 0:45:33.440
<v Speaker 2>have money to spend and kick it back into the economy.

0:45:34.400 --> 0:45:35.399
<v Speaker 2>That's a good thing.

0:45:36.360 --> 0:45:39.560
<v Speaker 11>You're absolutely right. People having jobs and people having wages

0:45:39.600 --> 0:45:42.000
<v Speaker 11>that are rising, that's a positive thing for you and

0:45:42.000 --> 0:45:46.680
<v Speaker 11>me and everybody else's listening. Having money to spend on things.

0:45:47.000 --> 0:45:49.520
<v Speaker 11>I think the worry is when wages are rising too fast.

0:45:50.280 --> 0:45:56.960
<v Speaker 11>That's what causes Powell Hodjuediz, So, I think that before

0:45:57.040 --> 0:46:00.839
<v Speaker 11>the COVID crisis, wages were ring at about a two

0:46:00.880 --> 0:46:02.800
<v Speaker 11>or two and a half percent rate for several years,

0:46:02.960 --> 0:46:05.920
<v Speaker 11>and now they're right around four percent. So I think

0:46:05.960 --> 0:46:08.160
<v Speaker 11>if those numbers could come down a little bit, I

0:46:08.200 --> 0:46:12.160
<v Speaker 11>think that would provide ultimately provide Chairman Powell with the

0:46:12.200 --> 0:46:15.719
<v Speaker 11>cover to gradually start to reduce rates. I think when

0:46:15.760 --> 0:46:18.640
<v Speaker 11>the FED meets tomorrow. Today, Fed's meeting today and tomorrow.

0:46:19.680 --> 0:46:22.080
<v Speaker 11>I think tomorrow the Fed, I think Powell is probably

0:46:22.080 --> 0:46:24.800
<v Speaker 11>going to say that he's not quite confident that inflation

0:46:24.880 --> 0:46:29.560
<v Speaker 11>has returned to the levels that he's comfortable with, which

0:46:29.600 --> 0:46:32.919
<v Speaker 11>will probably mean that rate cuts are probably somewhere off

0:46:32.960 --> 0:46:36.120
<v Speaker 11>in the distance. But he'll also be data dependent, So

0:46:36.440 --> 0:46:38.480
<v Speaker 11>if inflation does fall or we start to see some

0:46:38.520 --> 0:46:41.600
<v Speaker 11>weakness in the consumer or jobs for some reason, that

0:46:41.640 --> 0:46:43.040
<v Speaker 11>could provide him the cover he needs.

0:46:43.200 --> 0:46:45.520
<v Speaker 2>Now listen, I feel like it right. It all goes

0:46:45.560 --> 0:46:47.440
<v Speaker 2>back to that, and the data can change if it

0:46:47.440 --> 0:46:50.239
<v Speaker 2>does change dramatically, although it's I think safe to say

0:46:50.280 --> 0:46:53.160
<v Speaker 2>that in terms of inflation, they want to see a

0:46:53.160 --> 0:46:55.120
<v Speaker 2>sticky trend line. So we've got to get through a

0:46:55.120 --> 0:46:57.560
<v Speaker 2>couple of months reports, maybe even three or four, before

0:46:58.320 --> 0:47:00.600
<v Speaker 2>the Fed may may back off. Michael Sheldon, thank you,

0:47:00.680 --> 0:47:02.920
<v Speaker 2>and we had some technical difficulties. Thanks for picking up

0:47:02.960 --> 0:47:05.120
<v Speaker 2>the phone so we could hear you. And of course

0:47:05.160 --> 0:47:07.440
<v Speaker 2>we've been seeing you and watching you on YouTube and

0:47:07.440 --> 0:47:10.520
<v Speaker 2>Bloomberg Originals. Michael Sheldon, Executive directed at our DM Financial Group,

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<v Speaker 2>joining us from Westport, Connecticut. You are listening and watching

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<v Speaker 2>Bloomberg Radio.

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<v Speaker 1>This is the Bloomberg Business Week podcast. Avail little on Apple, Spotify,

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<v Speaker 1>and anywhere else you get your podcasts. Listen live weekday

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<v Speaker 1>afternoons from two to five pm Eastern on Bloomberg dot Com,

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<v Speaker 1>the iHeartRadio app, tune In, and the Bloomberg Business App.

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<v Speaker 1>You can also watch us live every weekday on YouTube

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<v Speaker 1>and always on the Bloomberg terminal