WEBVTT - PCE Breakdown and an AI Blowout

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio News.

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<v Speaker 2>This is the Bloomberg Surveillance Podcast. I'm Tom Keene along

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<v Speaker 2>or anywhere else you listen, and always I'm Bloomberg Radio,

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<v Speaker 2>the Bloomberg Terminal, and the Bloomberg Business App. DOTTA was

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<v Speaker 2>in the tantrum, going to hang up if I didn't

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<v Speaker 2>ask about the real wage.

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<v Speaker 3>Let's go there with a guy who predicted this.

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<v Speaker 2>He was just outstanding of saying the negative gloom of

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<v Speaker 2>negative real wages would flip to a positive real wage

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<v Speaker 2>Neil Dota Renaissance Macro. Can you model positive real wages

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<v Speaker 2>into the end of the year.

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<v Speaker 4>You know, I think that's probable, but I think that's

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<v Speaker 4>largely because inflation is going to be slowing, not because

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<v Speaker 4>not because you know, nominal wage growth is going to accelerate,

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<v Speaker 4>so you know, I think it's uh. I think that

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<v Speaker 4>compositional story is important. You know, my optimism around real

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<v Speaker 4>wage is improving is largely because I'm more confident, I think,

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<v Speaker 4>relative to consensus, that inflation is cooling throughout the remainder

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<v Speaker 4>of the year. If you look at what we've seen

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<v Speaker 4>over the first quarter. Obviously it was a very strong

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<v Speaker 4>quarter for inflation, as we all know and believe it

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<v Speaker 4>or not, real wages didn't actually go up all that much,

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<v Speaker 4>if at all, in Q one. So I think we

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<v Speaker 4>have to be careful here about kind of tying the

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<v Speaker 4>firm inflament because right now, Tom, it feels like to

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<v Speaker 4>me that people look at the or the consensus looks

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<v Speaker 4>at the strong and inflation numbers in the first quarter

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<v Speaker 4>as reinforcing kind of like this inflationary boom like dynamic

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<v Speaker 4>in the US economy. But I think when you take

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<v Speaker 4>a step back with you know, we do know that

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<v Speaker 4>wage growth has been moderating. Most of the forward looking

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<v Speaker 4>indicators that we look at, you know, things like the

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<v Speaker 4>quits rate posted wages suggests further cooling in in nominal

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<v Speaker 4>compensation growth. If you have this sort of inflation continuing,

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<v Speaker 4>you do need to start worrying a little bit about

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<v Speaker 4>what that means for real wages and in turn what

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<v Speaker 4>that means for consumer spending and corporate earnings. So you know,

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<v Speaker 4>I mean, fortunately, I tend to think that inflation will slow,

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<v Speaker 4>but I don't necessarily look at, you know, the inflation

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<v Speaker 4>data in the first quarter as kind of reinforcing the

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<v Speaker 4>stronger growth outlet. I actually think it presents a risk

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<v Speaker 4>if it continues.

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<v Speaker 5>All right, So you know, we've had a busy economic

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<v Speaker 5>release schedule over the last twenty four hours with Q

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<v Speaker 5>one GDP and then today's inflation. Can you wrap it

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<v Speaker 5>all up for us in And how do you think

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<v Speaker 5>the Fed is going to look at the last twenty

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<v Speaker 5>four hours worth of data.

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<v Speaker 4>I think they'll look at it and say, we have

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<v Speaker 4>nothing to do right now. This sort of reinforces their

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<v Speaker 4>belief that they have the benefit of time at the

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<v Speaker 4>end of the day. I mean, you know, we have

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<v Speaker 4>strong jobs growth and firm inflation. That's not a reason

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<v Speaker 4>for them to cut rates at the moment.

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<v Speaker 5>So all right, so let's kind of look ahead a

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<v Speaker 5>little bit here. I mean, what is the inflation I mean,

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<v Speaker 5>you think inflation is going to kind of moderate here

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<v Speaker 5>in the back half of the year.

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<v Speaker 6>If so, where will it moderate? Where will we see it?

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<v Speaker 4>Well, I mean, ultimately I think it starts from the

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<v Speaker 4>labor market on out. Okay, right, And you know, I

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<v Speaker 4>think this sort of bottoms up approach is interesting, and

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<v Speaker 4>certainly that's how people kind of nail the first quarter

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<v Speaker 4>inflation data. But ultimately I think you have to stick

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<v Speaker 4>to first principles. And what I rely on is basically

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<v Speaker 4>a standard triangle model of inflation. You have embedded inflation

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<v Speaker 4>or sort of an inflation expectations. You have a proxy

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<v Speaker 4>for aggregate demand like the unemployment gap, and then you

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<v Speaker 4>have some kind of cost push measure, right like exchange rates,

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<v Speaker 4>import prices, something like that. So that's the standard triangle

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<v Speaker 4>model of inflation that my former boss, Ethan Harris taught

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<v Speaker 4>me about many many years.

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<v Speaker 2>Ago in my mid Okay, here's let me lay out

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<v Speaker 2>the next twenty minutes. Cam Dawson's waiting, she's having a tantrum.

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<v Speaker 2>She's not on yet. I mean, we'll get cam Dawson

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<v Speaker 2>out on the market's futures of forty two. It's a

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<v Speaker 2>cam Dawson market, but we're doing Neil Dotta. Yes, we'll

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<v Speaker 2>get to the New York Giants. But first Neil Dotta.

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<v Speaker 2>Right where I wanted to go was Ethan Harris.

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<v Speaker 3>Neil Dotta.

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<v Speaker 2>Doctor Harris wrote a blistering LinkedIn article yesterday saying, would

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<v Speaker 2>everybody wake up, calm down, and look at trim mean

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<v Speaker 2>inflation statistics? Which is your favorite? Ethan Harris? A gusted inflation,

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<v Speaker 2>Dallas Fed Cleveland this whichever? Which is Neil Dutta's favorite

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<v Speaker 2>inflation statistic?

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<v Speaker 4>Well, I mean, Ethan has been harping a lot on

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<v Speaker 4>the trim mean inflation. I mean my pushback to that

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<v Speaker 4>is that there's historically been a much higher I mean,

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<v Speaker 4>there's an upward bias and a lot of these trim

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<v Speaker 4>mean measures, trim mean median PC, they tend to run

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<v Speaker 4>a lot higher than traditional core measures of inflation. If

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<v Speaker 4>you go back to two thousand and eight as an example,

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<v Speaker 4>trim mean inflation was running a lot hotter than traditional

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<v Speaker 4>core and we I mean, could you imagine what would

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<v Speaker 4>have happened if the FED was paying more attention to

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<v Speaker 4>trim mean back then? You know, at any rate, I mean,

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<v Speaker 4>what I meant to say with the triangle model is

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<v Speaker 4>that if you go through these components, I mean inflation expectations.

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<v Speaker 4>After coming down last year, they've kind of stabilized this year.

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<v Speaker 4>Unit labor costs are slowing, right, I mean, and the

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<v Speaker 4>dollar is stronger. So when you talk about slowing unit

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<v Speaker 4>labor cost growth and firming dollar, where should we be

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<v Speaker 4>about an upside inflation scenario? So I think you have

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<v Speaker 4>to kind of stick with first principles. And you know,

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<v Speaker 4>that's why I think we should the consensus should at

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<v Speaker 4>least be open to the prospect of downside inflation surprises

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<v Speaker 4>over the coming months on a magnitude of the upside

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<v Speaker 4>surprises we got in Q one.

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<v Speaker 2>Noah one question, the Giants go with a twenty year

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<v Speaker 2>old kid from LSU. I think he walks into camp

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<v Speaker 2>twenty one years old? Are these kids too young when

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<v Speaker 2>they come to the NFL?

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<v Speaker 3>Now?

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<v Speaker 4>I mean, who am I to say that? I mean,

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<v Speaker 4>I mean, they're great athletes. I don't know. I just

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<v Speaker 4>hope that. Yeah, he helps the Giants offense spread out

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<v Speaker 4>a little.

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<v Speaker 3>Bit neighbors LSU. Yeah, it's fun.

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<v Speaker 2>They went with the fun. Malik, excuse me, they went

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<v Speaker 2>with the fun. You know, they didn't go to the

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<v Speaker 2>boring for or you know, defensive guard or whatever. They

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<v Speaker 2>went with something that's going to create some massive energy

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<v Speaker 2>Malik neighbors.

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<v Speaker 3>There were the New York giants.

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<v Speaker 2>Cameron Dausin joins Now Chief investment Officer, New Edge Wealth Management, Cameron.

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<v Speaker 2>The tech earnings have come in, I guess we've seen

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<v Speaker 2>a good hunk. How is revenue growth doing? Are we

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<v Speaker 2>seeing better than good revenue growth in this earning season?

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<v Speaker 1>It's still healthy. There has been a moderation, mostly in

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<v Speaker 1>some of the consumer names, just because inflation has moderated,

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<v Speaker 1>meaning that you don't have as much pricing power as

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<v Speaker 1>you've had over the last couple of years. But I

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<v Speaker 1>think the real story is not just on the revenue line,

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<v Speaker 1>but it's on the margin line. And how much operating

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<v Speaker 1>leverage these tech companies are getting is absolutely incredible. A

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<v Speaker 1>little bit of cost control and profits absolutely boom. I

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<v Speaker 1>think you then add on top of that that all

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<v Speaker 1>of these large cap names are sitting on massive cash piles.

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<v Speaker 1>That the longer that the FED keeps rates high, the

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<v Speaker 1>more that they get to keep earning big yield on

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<v Speaker 1>those cash piles, which just allows them to do things

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<v Speaker 1>like start dividends and increase buybacks. So clearly for the

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<v Speaker 1>large cap names, there's a very virtuous cycle.

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<v Speaker 2>Sounds like Kim Dawson's sake in the Paul sweety kool

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<v Speaker 2>aid here.

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<v Speaker 6>Yeah, I mean the dividends.

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<v Speaker 5>It's not the worst thing the world to put out

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<v Speaker 5>a dividend there for your investors. So, Cam, what any

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<v Speaker 5>takeaways just from earning so far this season? I mean, again,

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<v Speaker 5>we're seeing some pretty strong numbers out of the tech names,

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<v Speaker 5>and a lot of folks will say tech has to

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<v Speaker 5>leave this market, so maybe we're in good shape.

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<v Speaker 6>What do you seeing?

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<v Speaker 1>It is encouraging that tech has held up well. We

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<v Speaker 1>think the real tech test for tech will really come

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<v Speaker 1>in the later part of the year and into twenty

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<v Speaker 1>twenty five, because that's when forecasts are for tech earnings

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<v Speaker 1>growth to accelerate rather meaningfully and then for the rest

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<v Speaker 1>of the market to kind of take up the earnings

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<v Speaker 1>growth and really be the key driver. So if that happens,

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<v Speaker 1>and it will be something that is very a very

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<v Speaker 1>high bar for the rest of the market to jump over.

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<v Speaker 1>For now, tech is very strong and at thirty percent

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<v Speaker 1>of the index for the S and P five hundred,

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<v Speaker 1>that remains ultimately the most important sector.

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<v Speaker 5>So I mean then that kind of goes to the

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<v Speaker 5>issue Kim, that a lot of investors I think wrestle

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<v Speaker 5>with which is do I overweight Do I stay overweight

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<v Speaker 5>some of these tech names, or do I try to

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<v Speaker 5>find some value in other parts of the market, whether

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<v Speaker 5>that's financials or healthcare or energy.

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<v Speaker 6>How do you think about that at this stage?

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<v Speaker 1>Yeah, I mean that's the real push pull because tech

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<v Speaker 1>has the earnings growth and the stock momentum, but it's

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<v Speaker 1>extraordinarily crowded. If you look at sector flows, tech is

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<v Speaker 1>the only sector that has had meaningful influence at seventy

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<v Speaker 1>billion dollars using the Deutsche Bank data. And it's also

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<v Speaker 1>really expensive. But on the other hand, if you look

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<v Speaker 1>at the value sectors, they're underloved, under owned, very cheap

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<v Speaker 1>in some areas. However, they don't have that earnings momentum. Yeah,

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<v Speaker 1>they have seeing their stock prices pick up, which is encouraging.

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<v Speaker 2>Okay, I have a toothpaste. Come, I'm going to name

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<v Speaker 2>which one it is. With Kim, you go to the

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<v Speaker 2>heart of the matter, which is ill look at the

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<v Speaker 2>FA screen of a traditional, boring, wonderful, all American value company.

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<v Speaker 2>They don't have the revenue pop. Can you predict the

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<v Speaker 2>next twenty four months, Alawood Zuckerberg wrought that we're going

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<v Speaker 2>to see a new rationalization of Jack Welch like cost

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<v Speaker 2>cutting across all sectors.

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<v Speaker 1>I used to cover gees. So I'm not necessarily going

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<v Speaker 1>to laud the era of the Welch time and kind

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<v Speaker 1>of the aftermath of that, because cost cutting, you can't

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<v Speaker 1>cut your way to growth. I think the reality is

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<v Speaker 1>and this is how we always focus our investments, which

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<v Speaker 1>is once on high return on invested capital. So we

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<v Speaker 1>want to focus on companies that for every dollar that

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<v Speaker 1>they put into their business, they get more dollars out

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<v Speaker 1>than the average bear. And so what that leads to

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<v Speaker 1>is that you do find a lot of that within

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<v Speaker 1>tech names, but there are also places within the industrials

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<v Speaker 1>within even some give.

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<v Speaker 2>Me an example, Come on, give me, it's not an

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<v Speaker 2>average bar, it's an average Ninja turtle. Give give me

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<v Speaker 2>an example, Cam Dawson of a value company doing our

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<v Speaker 2>return on ROIC, doing ROIC in a nice way.

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<v Speaker 1>Yeah. So some of the names within the industrials that

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<v Speaker 1>we do like are in the services side of things.

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<v Speaker 1>I can't give you any specific names, I'm sorry, and

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<v Speaker 1>I don't even have any turtles with me today. But

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<v Speaker 1>if you look at some of the services names that

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<v Speaker 1>mask as industrials, they do a lot of things like

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<v Speaker 1>insurance data and that type thing. They're really good in

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<v Speaker 1>defensive or copy markets and don't have that same kind

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<v Speaker 1>of sensitivity to underlying GDP where you have to see

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<v Speaker 1>an absolutely booming economy just for them to make a

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<v Speaker 1>little bit of money.

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<v Speaker 5>So I guess let's just take a look at this

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<v Speaker 5>economic data we saw in the last twenty four hours. Cam,

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<v Speaker 5>what's your takeaway here as it relates to maybe how

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<v Speaker 5>the Federal Reserve will kind of act over the next

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<v Speaker 5>several months, And you learned anything over the last twenty

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<v Speaker 5>four hours as it relates to our GDP our inflation picture.

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<v Speaker 1>Yeah, I think it's ditto to what data said, which

0:12:06.920 --> 0:12:10.240
<v Speaker 1>is that this data doesn't necessarily mean that the Fed

0:12:10.360 --> 0:12:13.480
<v Speaker 1>has to do anything at this time. We think that

0:12:13.520 --> 0:12:16.719
<v Speaker 1>the bar for rate hikes from here is much much

0:12:16.800 --> 0:12:20.319
<v Speaker 1>higher than the bar for rate cuts. It just means

0:12:20.360 --> 0:12:22.400
<v Speaker 1>that it won't take a lot of eating and economic

0:12:22.480 --> 0:12:24.960
<v Speaker 1>data for the Fed to start putting that cut talk

0:12:25.040 --> 0:12:27.040
<v Speaker 1>back on the table where you'd have to see a

0:12:27.080 --> 0:12:30.960
<v Speaker 1>significant acceleration and inflation for the FED to start raising

0:12:31.080 --> 0:12:33.959
<v Speaker 1>rates further. But we do think that the FED is

0:12:34.000 --> 0:12:36.480
<v Speaker 1>going to keep rates as they are for some time

0:12:36.600 --> 0:12:40.920
<v Speaker 1>because today simply doesn't support any urgency for them to

0:12:41.040 --> 0:12:41.640
<v Speaker 1>start cutting.

0:12:41.920 --> 0:12:43.880
<v Speaker 2>One quick question that we got to go to another

0:12:44.200 --> 0:12:47.760
<v Speaker 2>area with you, Kim Dawson, what's your SPX call twelve

0:12:47.760 --> 0:12:48.400
<v Speaker 2>months forward?

0:12:50.240 --> 0:12:52.480
<v Speaker 1>We think that the returns are going to be closer

0:12:52.520 --> 0:12:55.839
<v Speaker 1>to average given this starting point and what averages high

0:12:55.920 --> 0:12:59.160
<v Speaker 1>single digits, And this starting point is one where you

0:12:59.559 --> 0:13:03.200
<v Speaker 1>have allocations to equities that are not at peak levels

0:13:03.200 --> 0:13:06.600
<v Speaker 1>but are extended, valuations that aren't at peak levels but

0:13:06.720 --> 0:13:10.000
<v Speaker 1>are extended, which just supports that that kind of double

0:13:10.040 --> 0:13:13.120
<v Speaker 1>digit better than average returns that we've had in different

0:13:13.200 --> 0:13:15.400
<v Speaker 1>years is going to be quite hard to achieve.

0:13:15.559 --> 0:13:18.600
<v Speaker 2>Like most people, that really kill its strategy. It started

0:13:18.600 --> 0:13:22.640
<v Speaker 2>out with the individual security analysis. Kim Dawson, we got

0:13:22.640 --> 0:13:25.480
<v Speaker 2>a I still don't get ge Aerospace out of Cincinnati,

0:13:25.679 --> 0:13:30.680
<v Speaker 2>that's on American. But Kim Dawson, Lawrence Culp shows up

0:13:31.679 --> 0:13:32.320
<v Speaker 2>and he's.

0:13:32.120 --> 0:13:34.240
<v Speaker 3>He he's a Danaer and all that he's popped. Are

0:13:34.320 --> 0:13:35.600
<v Speaker 3>you ready? Cam?

0:13:35.720 --> 0:13:39.480
<v Speaker 2>Nineteen point three percent per year since he walked in

0:13:39.559 --> 0:13:45.200
<v Speaker 2>the door. What the what Lawrence called the pieces he

0:13:45.320 --> 0:13:45.880
<v Speaker 2>picked up.

0:13:46.440 --> 0:13:47.960
<v Speaker 3>It's really something.

0:13:48.000 --> 0:13:54.280
<v Speaker 1>What he's done Lean manufacturing is a beautiful thing. It's fantastic.

0:13:54.559 --> 0:13:56.840
<v Speaker 1>The ability to be able to take costs out of

0:13:56.840 --> 0:14:00.000
<v Speaker 1>a business without cutting to the bone and really focus

0:14:00.080 --> 0:14:03.000
<v Speaker 1>sing on the kinds of businesses that can generate a

0:14:03.040 --> 0:14:05.920
<v Speaker 1>great deal of upside. We've seen that with some companies

0:14:05.960 --> 0:14:08.439
<v Speaker 1>like an idex or an ITW that use the eighty

0:14:08.520 --> 0:14:11.560
<v Speaker 1>twenty approach. And the thing about those kinds of names

0:14:11.640 --> 0:14:13.680
<v Speaker 1>is that it's again it gets you back to those

0:14:13.800 --> 0:14:17.400
<v Speaker 1>high return on investing capital. Find companies that for every

0:14:17.440 --> 0:14:20.080
<v Speaker 1>dollar that they put into their business, they get a

0:14:20.120 --> 0:14:20.800
<v Speaker 1>greater farm.

0:14:21.080 --> 0:14:22.920
<v Speaker 3>Kim Dawson, thank you so much for the New Edge.

0:14:23.000 --> 0:14:25.320
<v Speaker 3>Really love it. That was really, really excellent.

0:14:29.640 --> 0:14:31.760
<v Speaker 2>I got like a three hour conversation here right now

0:14:31.800 --> 0:14:33.560
<v Speaker 2>with Mande singing Paul's.

0:14:33.200 --> 0:14:35.160
<v Speaker 3>Got to do a victory lap here on the dividend.

0:14:35.600 --> 0:14:38.400
<v Speaker 2>Mandy, Finally, I mean, I don't even know what with

0:14:38.760 --> 0:14:41.880
<v Speaker 2>the puny dividend they're doing with the dividend payout ratio is,

0:14:42.320 --> 0:14:45.080
<v Speaker 2>But are finally the tech boys going to grow up

0:14:45.600 --> 0:14:48.680
<v Speaker 2>and give us a dividend and critically give us a

0:14:48.720 --> 0:14:52.720
<v Speaker 2>dividend growth that somewhat correlates with their revenue growth.

0:14:53.440 --> 0:14:53.640
<v Speaker 3>Yeah.

0:14:53.680 --> 0:14:56.720
<v Speaker 7>And look, I think Google and Amazon wards at two

0:14:57.440 --> 0:15:00.360
<v Speaker 7>out of the mag sakes that didn't do the two children. Yes,

0:15:00.600 --> 0:15:05.000
<v Speaker 7>so it puts pressure on Amazon now to good point.

0:15:05.400 --> 0:15:07.440
<v Speaker 2>H And they're like, let means off a cliff, Paul,

0:15:07.440 --> 0:15:09.200
<v Speaker 2>You've been through this. I mean, Apple's got a one

0:15:09.280 --> 0:15:11.200
<v Speaker 2>up them and you know, do a one hundred billion

0:15:11.240 --> 0:15:11.800
<v Speaker 2>share buyback.

0:15:11.920 --> 0:15:15.800
<v Speaker 5>Right, So I mean I'm looking at good at Google

0:15:15.840 --> 0:15:18.680
<v Speaker 5>slash Facebook, you know, eighty billion dollars in free cash

0:15:18.680 --> 0:15:20.960
<v Speaker 5>flow seventy billion they announced.

0:15:20.600 --> 0:15:22.360
<v Speaker 6>This, this buyback, So that's huge.

0:15:22.480 --> 0:15:24.680
<v Speaker 5>Yeah, talk to us about the quarter that What did

0:15:24.680 --> 0:15:25.920
<v Speaker 5>you see in the operations the quarter?

0:15:25.920 --> 0:15:28.160
<v Speaker 6>What stood out for you? Because the market really likes

0:15:28.200 --> 0:15:28.640
<v Speaker 6>what it saw.

0:15:28.840 --> 0:15:29.040
<v Speaker 2>Yeah.

0:15:29.040 --> 0:15:32.760
<v Speaker 7>I mean, look, everyone thought their search business is getting disrupted.

0:15:33.080 --> 0:15:36.960
<v Speaker 7>They will, you know, slow down in terms of growth rates.

0:15:37.160 --> 0:15:39.640
<v Speaker 7>They come out and really blow it out of the

0:15:39.680 --> 0:15:42.960
<v Speaker 7>park on the search profitability. I mean that was the

0:15:43.040 --> 0:15:46.000
<v Speaker 7>driver of why the operating margin was thirty two percent

0:15:46.400 --> 0:15:47.240
<v Speaker 7>all time high.

0:15:47.400 --> 0:15:47.680
<v Speaker 3>Wow.

0:15:47.680 --> 0:15:50.320
<v Speaker 7>And that just goes to show how much pricing power

0:15:50.400 --> 0:15:53.600
<v Speaker 7>this company has. They can raise the ad auction prices

0:15:53.600 --> 0:15:56.760
<v Speaker 7>without telling advertisers and everyone will pay for it because

0:15:56.760 --> 0:16:02.040
<v Speaker 7>that's how their ROI is on AdSpend. So clearly, you

0:16:02.080 --> 0:16:04.480
<v Speaker 7>know they're flexing their muscle when it comes to ad

0:16:04.520 --> 0:16:08.240
<v Speaker 7>pricing and YouTube and cloud being one hundred billion dollars

0:16:08.320 --> 0:16:11.760
<v Speaker 7>underd business combined growing at over twenty five percent.

0:16:12.160 --> 0:16:14.040
<v Speaker 6>That's the same. That's Tom. That's Tom.

0:16:14.200 --> 0:16:16.560
<v Speaker 5>He's been calling out YouTube for a while here, I'm

0:16:16.560 --> 0:16:17.880
<v Speaker 5>not sure the street.

0:16:18.360 --> 0:16:19.880
<v Speaker 6>Do you think the street fully appreciates it?

0:16:19.880 --> 0:16:21.720
<v Speaker 3>Oh, they do not iorialize you.

0:16:21.920 --> 0:16:23.800
<v Speaker 6>I mean, can can I spin that out?

0:16:23.920 --> 0:16:28.160
<v Speaker 7>There was a dislocation in the valuation that Google had

0:16:28.280 --> 0:16:31.640
<v Speaker 7>versus relative to Microsoft, Microsoft trading at thirty three times

0:16:31.720 --> 0:16:34.360
<v Speaker 7>pee versus Google at twenty three y okay.

0:16:34.560 --> 0:16:37.400
<v Speaker 3>The basic idea here is Apple peels off services. Dan

0:16:37.480 --> 0:16:39.520
<v Speaker 3>I says, no, they'll never do it. I don't know

0:16:39.560 --> 0:16:40.280
<v Speaker 3>what that's worth.

0:16:40.840 --> 0:16:44.160
<v Speaker 2>But Google could peel off or be forced to peel

0:16:44.200 --> 0:16:46.560
<v Speaker 2>off YouTube.

0:16:46.360 --> 0:16:50.560
<v Speaker 3>And it's ginormous. Is that the right you know, CFA term? Yeah?

0:16:50.640 --> 0:16:53.600
<v Speaker 7>I mean their YouTube ad revenue grew twenty one percent.

0:16:53.640 --> 0:16:56.760
<v Speaker 7>The subscription revenue is also north of twenty percent.

0:16:56.840 --> 0:16:57.560
<v Speaker 3>So that's because of.

0:16:57.520 --> 0:17:01.960
<v Speaker 2>Bloomberg surveillance out on YouTube search, Bloomberg podcast continue.

0:17:01.560 --> 0:17:04.080
<v Speaker 7>And engagement is off the roof So I agree. I

0:17:04.119 --> 0:17:07.720
<v Speaker 7>think YouTube itself could be a trillion dollar in market

0:17:07.760 --> 0:17:09.440
<v Speaker 7>cap given its growth rate.

0:17:09.760 --> 0:17:11.880
<v Speaker 3>So that puts Google you'd model out at what three

0:17:12.000 --> 0:17:12.520
<v Speaker 3>trillion with.

0:17:13.119 --> 0:17:15.479
<v Speaker 7>I think so, based on the numbers you saw last night.

0:17:15.560 --> 0:17:18.000
<v Speaker 3>Are they listening to roofs? Come on for New York City.

0:17:18.119 --> 0:17:19.560
<v Speaker 3>There's a whole history here, folks.

0:17:19.840 --> 0:17:22.479
<v Speaker 2>I believe the Morgan Stanley the brain freezes on a Friday.

0:17:22.880 --> 0:17:28.280
<v Speaker 2>Ruthport's a CFO out there. They finally the owners the CEO.

0:17:28.760 --> 0:17:31.120
<v Speaker 2>Are they finally listening to Ruth?

0:17:32.080 --> 0:17:32.480
<v Speaker 3>I think so.

0:17:32.520 --> 0:17:35.879
<v Speaker 7>I mean she has additional responsibility now, you know, in terms,

0:17:35.960 --> 0:17:38.720
<v Speaker 7>and they are looking for a new CFO given she

0:17:38.800 --> 0:17:40.320
<v Speaker 7>has additional responsibility.

0:17:40.440 --> 0:17:44.200
<v Speaker 3>But I'm going to give Paul Sweeney a massive victory

0:17:44.280 --> 0:17:45.480
<v Speaker 3>lap on this one. So I'm going to put it

0:17:45.520 --> 0:17:47.119
<v Speaker 3>up again. I just put it out on.

0:17:47.280 --> 0:17:50.200
<v Speaker 2>Social This is the new world, This is the Sweeney world.

0:17:50.720 --> 0:17:54.440
<v Speaker 2>Daniel Parris, pay a dividend. You don't have to be

0:17:54.600 --> 0:17:57.000
<v Speaker 2>like Totel Europe or BNP Paridius.

0:17:57.119 --> 0:17:59.120
<v Speaker 6>I pay something, so Mandy.

0:17:59.200 --> 0:18:03.520
<v Speaker 5>But I still view AI as a threat to the

0:18:03.760 --> 0:18:05.680
<v Speaker 5>core search business of Google.

0:18:05.760 --> 0:18:07.240
<v Speaker 6>Is that a valid concern? Do you think?

0:18:08.119 --> 0:18:10.680
<v Speaker 7>I mean, look, I could say the same about the

0:18:10.720 --> 0:18:13.879
<v Speaker 7>cloud business for Microsoft. Yes, there is more competition, but

0:18:14.160 --> 0:18:17.120
<v Speaker 7>in search they are the incumbent player. And what they're

0:18:17.800 --> 0:18:21.040
<v Speaker 7>showing right now is they can integrate their generative AI

0:18:21.440 --> 0:18:26.119
<v Speaker 7>stuff with their cloud, with their search and that actually

0:18:26.240 --> 0:18:28.520
<v Speaker 7>is helping the business the pricing power of the business.

0:18:28.960 --> 0:18:31.639
<v Speaker 2>Take what you learned here, I mean, from Texas Instruments

0:18:31.800 --> 0:18:36.680
<v Speaker 2>over to Meta, Facebook, over to the two yesterday, bring

0:18:36.760 --> 0:18:37.520
<v Speaker 2>it over to Apple.

0:18:37.560 --> 0:18:38.800
<v Speaker 3>I believe it's on Tuesday.

0:18:39.600 --> 0:18:43.040
<v Speaker 7>Well, so Apple, I think has a different problem when

0:18:43.080 --> 0:18:45.159
<v Speaker 7>it comes to the China side of the business. The

0:18:45.240 --> 0:18:48.480
<v Speaker 7>twenty percent revenue exposure, you can't do anything about that.

0:18:48.720 --> 0:18:51.920
<v Speaker 7>Handseid revenue exposure they have, and the services side of

0:18:52.000 --> 0:18:54.360
<v Speaker 7>the business is not going to look as good as

0:18:54.760 --> 0:18:54.920
<v Speaker 7>you know.

0:18:55.040 --> 0:18:57.560
<v Speaker 3>Microsoft and Google does a threat in their margins.

0:18:58.200 --> 0:19:00.840
<v Speaker 7>It does. I mean, look, they have been in the

0:19:00.960 --> 0:19:05.440
<v Speaker 7>antitrust crosshairs, even though you know not much will happen

0:19:05.560 --> 0:19:08.320
<v Speaker 7>in the near term, but the fact that they can't

0:19:08.440 --> 0:19:11.239
<v Speaker 7>you know, keep their take rates at thirty percent they

0:19:11.520 --> 0:19:13.840
<v Speaker 7>used to have in the app store, that's gonna hurt

0:19:13.880 --> 0:19:17.160
<v Speaker 7>the business. And they can't roll out new genei services

0:19:17.240 --> 0:19:19.719
<v Speaker 7>because they don't have the infrastructure. I mean, all these

0:19:19.760 --> 0:19:23.800
<v Speaker 7>companies are raising capex thirty forty fifty percent. Apple doesn't

0:19:23.840 --> 0:19:26.720
<v Speaker 7>spend as much on their data centers and and that's

0:19:26.800 --> 0:19:30.399
<v Speaker 7>where I think they will be sort of there behind

0:19:30.560 --> 0:19:32.440
<v Speaker 7>and and it will be very hard for them to

0:19:32.560 --> 0:19:35.040
<v Speaker 7>catch up in terms of, you know, the generative AI stuff,

0:19:35.040 --> 0:19:36.800
<v Speaker 7>which is what the growth part of the.

0:19:36.800 --> 0:19:40.399
<v Speaker 3>Business, the generative AI, Well, that's it. Don't get well,

0:19:40.440 --> 0:19:40.960
<v Speaker 3>that's my question.

0:19:41.080 --> 0:19:43.359
<v Speaker 5>I think they kind of do. So I was looking

0:19:43.400 --> 0:19:47.760
<v Speaker 5>forward to this May seventh. I guess their their pig

0:19:47.840 --> 0:19:48.720
<v Speaker 5>event coming up.

0:19:49.480 --> 0:19:52.240
<v Speaker 6>Yeah, what are we going to do? Are they going

0:19:52.320 --> 0:19:54.880
<v Speaker 6>to have a I guess transformative announcement?

0:19:54.880 --> 0:19:57.399
<v Speaker 7>Do you think they will innovate with their chips? The

0:19:57.480 --> 0:20:00.800
<v Speaker 7>biggest advantage that Apple has is it controls it's chips

0:20:00.920 --> 0:20:04.040
<v Speaker 7>in their devices, and that's where the on device generative

0:20:04.040 --> 0:20:06.600
<v Speaker 7>AI play is still there. No one else can take

0:20:06.680 --> 0:20:09.960
<v Speaker 7>the distribution away from them. They control the distribution, and

0:20:10.320 --> 0:20:12.800
<v Speaker 7>if they're able to show something like that, that will

0:20:12.920 --> 0:20:15.200
<v Speaker 7>drive a heavy refreshed cycle. But in the end, this

0:20:15.359 --> 0:20:19.639
<v Speaker 7>company is still driven by iPhone refreshes and iMac refreshes

0:20:19.680 --> 0:20:20.920
<v Speaker 7>and all those Yeah.

0:20:20.840 --> 0:20:22.480
<v Speaker 2>I had of fans stop me in the street. And

0:20:22.560 --> 0:20:24.880
<v Speaker 2>they said, is it true that Mandeep and interrog can't

0:20:24.920 --> 0:20:26.480
<v Speaker 2>be in the same building at the same time?

0:20:26.680 --> 0:20:28.960
<v Speaker 3>Is that true? Like, can you ever ever.

0:20:28.920 --> 0:20:31.560
<v Speaker 2>Talked to each You can get along very but you

0:20:31.640 --> 0:20:33.119
<v Speaker 2>have you can't be in the same building at the

0:20:33.160 --> 0:20:33.520
<v Speaker 2>same time.

0:20:33.560 --> 0:20:35.280
<v Speaker 6>No, it's kind of like key Man risk. You can't

0:20:35.280 --> 0:20:47.119
<v Speaker 6>do it for technology, you tell you.

0:20:47.200 --> 0:20:49.440
<v Speaker 3>Look at the front pages, Lisa, what do you have?

0:20:49.760 --> 0:20:50.120
<v Speaker 8>All Right?

0:20:50.240 --> 0:20:54.800
<v Speaker 9>College students, this is in the times, are becoming reservation scalpers.

0:20:54.840 --> 0:20:56.879
<v Speaker 8>It's a new side hustle that they're the thought of.

0:20:57.359 --> 0:20:59.400
<v Speaker 9>Because you know, in New York City people are always

0:20:59.440 --> 0:21:01.639
<v Speaker 9>wanting to get reservations to these high end restaurants you

0:21:01.720 --> 0:21:04.320
<v Speaker 9>can't get in. So what these students are doing is

0:21:04.359 --> 0:21:07.760
<v Speaker 9>they're making reservations. They're posting them on this platform, card

0:21:07.960 --> 0:21:12.160
<v Speaker 9>Appointment Trader, that's a platform while people bid on reservations.

0:21:12.520 --> 0:21:13.800
<v Speaker 8>So they're booking these reservations.

0:21:13.800 --> 0:21:17.400
<v Speaker 9>There's one college student in Rhode Island who booked who

0:21:17.480 --> 0:21:20.960
<v Speaker 9>booked a reservation for a French restaurant in Soho. He

0:21:21.080 --> 0:21:24.040
<v Speaker 9>made eight hundred and fifty five dollars just from someone

0:21:24.040 --> 0:21:26.440
<v Speaker 9>who wanted to get in there. He made one thousand

0:21:26.520 --> 0:21:28.120
<v Speaker 9>dollars from a reservation.

0:21:27.800 --> 0:21:30.639
<v Speaker 8>At Carbone because someone wanted to get in there. He

0:21:30.800 --> 0:21:35.240
<v Speaker 8>said he made seventy thousand dollars. You're on this side, hustle.

0:21:35.600 --> 0:21:36.520
<v Speaker 8>New Yorkers don't like it.

0:21:36.640 --> 0:21:39.119
<v Speaker 9>They say it's ruining the restaurant industry because you know,

0:21:39.240 --> 0:21:40.879
<v Speaker 9>we're New Yorkers. We want to get into different, you

0:21:40.920 --> 0:21:43.360
<v Speaker 9>know places, and we can't because these kids are buying

0:21:43.440 --> 0:21:44.200
<v Speaker 9>up all the reservations.

0:21:44.240 --> 0:21:46.399
<v Speaker 8>They're not even going, they're just making money off to

0:21:46.440 --> 0:21:47.159
<v Speaker 8>the day's meekings.

0:21:47.240 --> 0:21:49.239
<v Speaker 6>Walk in and slide the person at the counter at

0:21:49.240 --> 0:21:51.960
<v Speaker 6>twenty bucks and say, you know, just come on exactly.

0:21:53.440 --> 0:21:55.639
<v Speaker 3>Yeah, you know. They go, oh my god, it's you.

0:21:56.200 --> 0:21:59.240
<v Speaker 3>You know, I'm flattered. And you go up the stairs

0:21:59.280 --> 0:22:02.600
<v Speaker 3>to the back bar in the bag and you sit

0:22:02.760 --> 0:22:05.040
<v Speaker 3>on a little chair and your children are like, this

0:22:05.240 --> 0:22:07.840
<v Speaker 3>is so cool. And there's the bar right there with

0:22:07.920 --> 0:22:08.399
<v Speaker 3>the mirror.

0:22:08.680 --> 0:22:11.000
<v Speaker 2>Okay, and you don't, you know, you give them fifty

0:22:11.040 --> 0:22:15.040
<v Speaker 2>bucks or whatever, and now it's eight hundred dollars.

0:22:15.119 --> 0:22:18.360
<v Speaker 8>Sometimes a thousand. Justin Bieber I didn't even get into Carbone.

0:22:19.560 --> 0:22:20.800
<v Speaker 3>It's just ridiculous.

0:22:21.200 --> 0:22:23.520
<v Speaker 9>So yeah, and the restaurants don't like it because if

0:22:23.600 --> 0:22:26.400
<v Speaker 9>those reservations aren't sold. Then they're stuck with empty tables,

0:22:26.440 --> 0:22:29.000
<v Speaker 9>and that's when it just is out that way.

0:22:29.080 --> 0:22:30.840
<v Speaker 5>Yeah, I've not been there, so I'll defer to time

0:22:30.960 --> 0:22:35.440
<v Speaker 5>restaurant Scalpers Smith last night, Oh, strip top.

0:22:36.080 --> 0:22:38.080
<v Speaker 3>Oh we're sitting over on Third Avenue.

0:22:38.400 --> 0:22:39.240
<v Speaker 6>Fantastic pack.

0:22:39.440 --> 0:22:40.480
<v Speaker 3>You are so old school.

0:22:40.560 --> 0:22:42.680
<v Speaker 5>We had This is my investment banking team from nineteen

0:22:42.720 --> 0:22:44.920
<v Speaker 5>eighty six where we still get together.

0:22:45.520 --> 0:22:48.240
<v Speaker 3>My god, they let you bring in the drips in

0:22:48.280 --> 0:22:48.800
<v Speaker 3>the cath.

0:22:50.560 --> 0:22:52.680
<v Speaker 8>Exactly did you have to pay for that reservation?

0:22:52.880 --> 0:22:57.800
<v Speaker 2>Or we know some peoplets after thought, I had a birthday.

0:22:58.320 --> 0:22:59.960
<v Speaker 3>Where do you want to go? She goes to Mermaid.

0:23:00.160 --> 0:23:02.520
<v Speaker 3>So there's a new Mermaid down in Soho. It's the

0:23:02.560 --> 0:23:04.560
<v Speaker 3>first time I've been below fifty ninth.

0:23:04.400 --> 0:23:05.879
<v Speaker 6>Stround Like, why would gets?

0:23:06.840 --> 0:23:07.000
<v Speaker 2>You know?

0:23:07.320 --> 0:23:07.560
<v Speaker 6>Nice?

0:23:07.640 --> 0:23:09.679
<v Speaker 3>I texted Pharaoh, I said, come on over, I'm at

0:23:09.720 --> 0:23:10.240
<v Speaker 3>the Mermaid.

0:23:10.960 --> 0:23:13.320
<v Speaker 6>He was in Capri or something, of course exactly, but.

0:23:13.359 --> 0:23:14.560
<v Speaker 8>What are you have pressed your off?

0:23:15.480 --> 0:23:18.600
<v Speaker 9>Another thing in New Yorkers that they always talk about,

0:23:18.600 --> 0:23:20.760
<v Speaker 9>you know, it's congestion pricing. This one is the illegal

0:23:20.840 --> 0:23:23.760
<v Speaker 9>weed shops. That's another issue in New York City. I've

0:23:23.800 --> 0:23:25.760
<v Speaker 9>heard this this out, Yeah, that one of the this

0:23:25.880 --> 0:23:28.200
<v Speaker 9>is from the New York Times. An illegal shopping queens

0:23:28.200 --> 0:23:31.680
<v Speaker 9>that's called Badega just received a permit. And this is

0:23:31.800 --> 0:23:33.800
<v Speaker 9>kind of a backtrack because New York said they were

0:23:33.880 --> 0:23:37.120
<v Speaker 9>cracking down on these illegal weed shops and not going

0:23:37.200 --> 0:23:39.040
<v Speaker 9>to give them permits because they weren't going about it

0:23:39.119 --> 0:23:42.040
<v Speaker 9>the legal way. But now the New York Times is saying, hey,

0:23:42.200 --> 0:23:44.560
<v Speaker 9>this shop is starting to do it. The State Office

0:23:44.600 --> 0:23:47.200
<v Speaker 9>of Cannibismanagement there is such a thing. It said that

0:23:47.280 --> 0:23:50.080
<v Speaker 9>it's investigating weather the owners because they applied for it

0:23:50.200 --> 0:23:53.280
<v Speaker 9>under a different name, so that might be an issue

0:23:53.320 --> 0:23:55.040
<v Speaker 9>and that's why they may have gotten up there.

0:23:55.080 --> 0:23:56.960
<v Speaker 8>But it's still under review.

0:23:57.480 --> 0:24:00.240
<v Speaker 6>But this is just a big issue of us. This

0:24:00.400 --> 0:24:00.879
<v Speaker 6>up terribly.

0:24:01.200 --> 0:24:04.399
<v Speaker 5>Every single block has the legal wee chap. People are

0:24:04.920 --> 0:24:08.200
<v Speaker 5>and where's the tax revenue. I mean, you talk to

0:24:08.280 --> 0:24:10.480
<v Speaker 5>people in the cannabis industry and they say, New York

0:24:10.520 --> 0:24:14.560
<v Speaker 5>City is the absolute worst execution of this law you've

0:24:14.560 --> 0:24:15.240
<v Speaker 5>seen anywhere.

0:24:15.440 --> 0:24:19.280
<v Speaker 2>My basic take is it's Boulder, Colorado, spring of nineteen

0:24:19.400 --> 0:24:22.480
<v Speaker 2>seventy one, and the music isn't as good, and you

0:24:22.560 --> 0:24:24.879
<v Speaker 2>know it's out of control. I mean that's what I

0:24:24.960 --> 0:24:26.840
<v Speaker 2>hear from particularly downtown here.

0:24:26.920 --> 0:24:28.560
<v Speaker 6>That's not a millitary and he's my go to guy.

0:24:29.520 --> 0:24:32.439
<v Speaker 3>Oh yeah, this is a problem. When he's in one

0:24:32.480 --> 0:24:34.800
<v Speaker 3>of the suburbs north of the city. It's a big problem.

0:24:34.800 --> 0:24:35.159
<v Speaker 6>Exactly.

0:24:35.280 --> 0:24:35.480
<v Speaker 3>Yeah.

0:24:35.760 --> 0:24:36.680
<v Speaker 6>So anyway, all right.

0:24:36.600 --> 0:24:39.560
<v Speaker 8>Well next, all right, what's also out of control? Tipping?

0:24:39.920 --> 0:24:43.719
<v Speaker 8>Tip flation? Ok there's a study. It's from Talker Research.

0:24:43.800 --> 0:24:45.720
<v Speaker 8>This is within the New York Post, your favorite Paul.

0:24:46.240 --> 0:24:49.479
<v Speaker 9>Americans spend nearly five hundred a year tipping more than

0:24:49.520 --> 0:24:51.479
<v Speaker 9>they'd like to because they're saying they feel a lot

0:24:51.560 --> 0:24:52.040
<v Speaker 9>of pressure.

0:24:52.359 --> 0:24:55.879
<v Speaker 8>You know, you're at the Starbucks or whatever, the Barisa.

0:24:55.600 --> 0:24:58.320
<v Speaker 9>Turns a little you know, tablet around and they're staring

0:24:58.400 --> 0:25:00.200
<v Speaker 9>at you as you pick ten percent.

0:25:01.680 --> 0:25:02.040
<v Speaker 8>Or nothing.

0:25:02.200 --> 0:25:03.440
<v Speaker 6>You know, it's dying now.

0:25:03.800 --> 0:25:06.840
<v Speaker 5>This is one of my New Year's resolutions, just starting today. Okay,

0:25:07.119 --> 0:25:08.920
<v Speaker 5>if I didn't do it five years ago, I'm not

0:25:09.000 --> 0:25:11.520
<v Speaker 5>doing it today. That's one of the points. Yeah, because

0:25:11.560 --> 0:25:13.400
<v Speaker 5>I'm a good tipper. You ask any of the folks

0:25:13.440 --> 0:25:16.760
<v Speaker 5>down the Jersey Shore saloons. They know I'm a good tipper,

0:25:17.080 --> 0:25:19.080
<v Speaker 5>but I'm no tucker on the other helm.

0:25:19.880 --> 0:25:23.560
<v Speaker 6>Yeah, exactly exactly. But that's the problem.

0:25:23.560 --> 0:25:25.439
<v Speaker 8>People are saying, they're tipping now for things that they

0:25:25.560 --> 0:25:26.440
<v Speaker 8>never tipped before.

0:25:26.680 --> 0:25:31.120
<v Speaker 6>Yeah, there's a good I thought so good stairs. Look

0:25:31.400 --> 0:25:33.520
<v Speaker 6>a good thing on social media saw yesterday was somebody

0:25:33.720 --> 0:25:34.600
<v Speaker 6>was going through TSA.

0:25:35.000 --> 0:25:36.800
<v Speaker 5>They were going through the the person was going through

0:25:36.840 --> 0:25:40.800
<v Speaker 5>their TSA take and then afterwards they put their phone

0:25:40.800 --> 0:25:42.240
<v Speaker 5>next to them the tip.

0:25:42.440 --> 0:25:45.160
<v Speaker 3>You know, so are you done or you have one

0:25:45.200 --> 0:25:45.680
<v Speaker 3>more jewel?

0:25:46.080 --> 0:25:46.119
<v Speaker 7>No?

0:25:46.720 --> 0:25:49.960
<v Speaker 9>Okay, your coffee, your latte could be getting more expensive.

0:25:50.040 --> 0:25:53.120
<v Speaker 9>Here's the reason why there's a crowd in Vietnam. Yes,

0:25:53.359 --> 0:25:55.679
<v Speaker 9>hurting coffee being production. We're talking about robust.

0:25:55.720 --> 0:25:59.080
<v Speaker 8>The reachers hit a sixteen year high on Wednesday.

0:25:59.400 --> 0:26:03.240
<v Speaker 9>Here's the is that I thought was interesting. Hoarding Vietnamese farmers.

0:26:03.280 --> 0:26:05.760
<v Speaker 9>They're holding onto the beans. They're holding onto as much

0:26:05.760 --> 0:26:08.200
<v Speaker 9>as thirteen percent of this year's harvest. They're hoping to

0:26:08.280 --> 0:26:11.840
<v Speaker 9>sell them for higher prices. So that's becoming the issue there.

0:26:12.000 --> 0:26:14.320
<v Speaker 9>So experts saying, you know, it could take a while

0:26:14.400 --> 0:26:15.639
<v Speaker 9>before it reaches consumers.

0:26:15.960 --> 0:26:18.040
<v Speaker 8>So your mocha is safe for now, but it could

0:26:18.080 --> 0:26:18.720
<v Speaker 8>start to tick up.

0:26:18.800 --> 0:26:20.560
<v Speaker 5>Tom, we have a ticker on that on the Bloomberg

0:26:20.640 --> 0:26:25.960
<v Speaker 5>Terminal CC and four space commodity COCO futures. Again, it's

0:26:26.040 --> 0:26:28.080
<v Speaker 5>just been this chart has gone up into the right

0:26:28.200 --> 0:26:31.240
<v Speaker 5>like crazy spike in cocoa prices.

0:26:31.560 --> 0:26:34.199
<v Speaker 6>Go figure. I mean, that's commodity inflation that hits your

0:26:34.240 --> 0:26:34.720
<v Speaker 6>pocket book.

0:26:34.960 --> 0:26:39.879
<v Speaker 2>Lisa, thank you so much, greatly, greatly, greatly appreciate it.

0:26:40.320 --> 0:26:43.760
<v Speaker 2>This morning tipping thing is a huge deal because you know,

0:26:44.880 --> 0:26:46.600
<v Speaker 2>in Paris it's totally different where.

0:26:46.480 --> 0:26:49.000
<v Speaker 3>They get a huge wage and here they don't.

0:26:49.119 --> 0:26:51.840
<v Speaker 2>Right right in London is really messed up where there's

0:26:51.880 --> 0:26:53.920
<v Speaker 2>no tipping. London's the worst.

0:26:54.000 --> 0:26:54.920
<v Speaker 8>So you don't tip in London.

0:26:54.960 --> 0:26:58.240
<v Speaker 2>You don't call London, you cannot if you don't leave cash.

0:26:58.680 --> 0:26:59.440
<v Speaker 2>They don't get tipped.

0:27:00.040 --> 0:27:02.520
<v Speaker 3>Terrible. It's a complete scam in London, very.

0:27:03.119 --> 0:27:03.840
<v Speaker 6>Part of the culture.

0:27:03.920 --> 0:27:06.280
<v Speaker 8>I mean, you know, but they get paid more than.

0:27:05.960 --> 0:27:09.200
<v Speaker 2>They do, get paid more, but you can't add a

0:27:09.359 --> 0:27:10.800
<v Speaker 2>tip off your card.

0:27:11.480 --> 0:27:12.720
<v Speaker 6>You don't need to get that option.

0:27:13.160 --> 0:27:15.080
<v Speaker 2>I sat down with the reto keeper of the MX

0:27:15.119 --> 0:27:17.360
<v Speaker 2>and you know, we spent an hour on this. That's

0:27:17.400 --> 0:27:21.440
<v Speaker 2>a joke, Lisa, that was brilliant, very valuable. Actually, this

0:27:21.600 --> 0:27:26.760
<v Speaker 2>is the Bloomberg Surveillance Podcast, bringing you the best in economics, finance, investment,

0:27:26.960 --> 0:27:30.560
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0:27:30.800 --> 0:27:35.080
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0:27:35.280 --> 0:27:38.600
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0:27:38.680 --> 0:27:42.720
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0:27:42.760 --> 0:27:46.480
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0:27:46.800 --> 0:27:50.440
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0:27:50.480 --> 0:27:52.000
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