WEBVTT - Fed Decision and Tech Earnings

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio, news. This is the Bloomberg

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<v Speaker 2>She's senior advisor, macro policy perspective, chief economist for The Economist.

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<v Speaker 2>intelligence unit constant hunter with us this morning. I want

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<v Speaker 2>to frame out two groups. There's a group looking for

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<v Speaker 2>maybe one more rate rise, that's it, then down we go,

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<v Speaker 2>disinflationary vector, etc. And there's another group saying they should

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<v Speaker 2>be raising rates today or at least raising rates in

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<v Speaker 2>December and raising rates again. What is the single distinction

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<v Speaker 2>between those two groups, Constance?

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<v Speaker 3>So we have this debate on our team all the time,

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<v Speaker 3>and we are not monolithic. We have both representatives. And

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<v Speaker 3>the raise once and then possibly be on a downward

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<v Speaker 3>trajectory is looking at factors in underlying inflation that are moderating,

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<v Speaker 3>non-energy factors. And of course, the real question is, do

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<v Speaker 3>the energy price spikes spillover into services? Is there demand

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<v Speaker 3>for inflation, enough demand for inflation from AI that's going

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<v Speaker 3>to have broader inflationary effects, or is that going to

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<v Speaker 3>be contained? And then I think finally, we are not

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<v Speaker 3>done with the trade war.

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<v Speaker 4>Okay.

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<v Speaker 2>So how, folks, this is This is the Latin moment

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<v Speaker 2>of Bloomberg surveillance this morning.

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<v Speaker 5>Sweeney killing Latin at Duke.

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<v Speaker 2>You were at Lawrenceville years ago. You took Latin?

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<v Speaker 4>We had Latin at the Blessed Sacrament School in Trenton,

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<v Speaker 4>New Jersey. I'll bet we did.

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<v Speaker 2>So let's go Latin with Paul Sweeney.

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<v Speaker 5>Ex ante, get out in front. Ex post, you got

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<v Speaker 5>to wait.

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<v Speaker 2>I'm suggesting this is a Fed that is massively ex

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<v Speaker 2>post right now.

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<v Speaker 6>Yes, and they are not alone, right?

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<v Speaker 3>We have two other central bank meetings this week. We

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<v Speaker 3>have the Bank of Japan and the Bank of England.

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<v Speaker 3>They are both going to hold and wait and see.

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<v Speaker 3>And Japan probably has the most significant inflationary pressure that

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<v Speaker 3>is both demand pull and cost push. And they, too,

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<v Speaker 3>are taking a wait and see approach. And there's really– look.

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<v Speaker 3>If it is an insurance cut and what they are

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<v Speaker 3>signaling is they're tough on inflation, you can make a

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<v Speaker 3>strong argument that they cut today. If you look at

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<v Speaker 3>the underlying economy, does it matter if they hike today

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<v Speaker 3>or hike in December? It really doesn't matter that much

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<v Speaker 3>for the underlying economy.

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<v Speaker 5>She says demand pull, cost push.

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<v Speaker 2>It reminds me of Scotch, cigars, LBJ.

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<v Speaker 5>It's so 60s.

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<v Speaker 6>60s.

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<v Speaker 4>So, Constance, what is, in your mind, the underlying inflation

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<v Speaker 4>out there? Because there's obviously the energy aspect. There's the

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<v Speaker 4>AI aspect. I mean, companies are spending left, right, and center,

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<v Speaker 4>raising money all over the place to spend money. When

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<v Speaker 4>you peel all that away, what is the underlying inflation

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<v Speaker 4>out there? Is it something that the Fed- should be

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<v Speaker 4>concerned about?

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<v Speaker 3>Well, this is a really good question, right? Because we

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<v Speaker 3>have a different backdrop than we had, say, in the 1990s.

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<v Speaker 3>A lot of people like to look at this time

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<v Speaker 3>and say, well, if we compare this to the 1990s

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<v Speaker 3>when we had the internet boom and that technology boom.

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<v Speaker 3>How does that transfer? And the fact is, in the 1990s,

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<v Speaker 3>we were in a global economic backdrop where we were

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<v Speaker 3>reducing friction, right? We were advancing free trade. More countries

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<v Speaker 3>were becoming capitalist and democratic. We had institutions that supported

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<v Speaker 3>coordination And so we had the peace dividend from the

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<v Speaker 3>fall of the Berlin Wall. Now we have a situation

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<v Speaker 3>where we are increasing frictions, where global institutions are not

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<v Speaker 3>easing global frictions, where security, supply, and statism are really

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<v Speaker 3>pushing up prices and in some cases pushing up demand.

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<v Speaker 3>So if we look at that backdrop and we say, okay,

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<v Speaker 3>what percentage of the basket is AI? It's really not

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<v Speaker 3>an AI-related component. It's not a large percent of the basket.

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<v Speaker 3>But the question is, can that grow as this continues

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<v Speaker 3>to grow? And that is, I think, an unknown, but

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<v Speaker 3>something that we are closely monitoring.

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<v Speaker 4>The Fed, I mean, Fed Chairman Walsh, he is sticking

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<v Speaker 4>with this 2% inflation target, as the Fed has done

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<v Speaker 4>for a long time. But A lot of folks are

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<v Speaker 4>suggesting maybe that's not the right target anymore. We're onshoring

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<v Speaker 4>more manufacturer trying to onshore more manufacturing. That suggests maybe

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<v Speaker 4>higher inflation. We're restricting immigration that might push up wages.

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<v Speaker 4>That could be inflationary. Maybe the 2 percent target isn't

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<v Speaker 4>the right target anymore. Maybe it's something higher. How do

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<v Speaker 4>you think about that?

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<v Speaker 3>Well, Tom talks about this all the time. He talks

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<v Speaker 3>about nominal GDP, right? Are we in a nominal GDP

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<v Speaker 3>world that's a 6%, 7% nominal GDP?

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<v Speaker 5>I had a drink with Kodlow once, and he slipped

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<v Speaker 5>something in my drink. I've never been the same again.

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<v Speaker 6>That could happen to a person.

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<v Speaker 4>But in any case, I think that it really.

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<v Speaker 3>Depends on what is nominal GB, where is overall demand.

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<v Speaker 3>So the concern and the reason we have the dual mandate, right,

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<v Speaker 3>is that if you have higher inflation, it curtails economic activity.

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<v Speaker 3>And so you don't want persistently high inflation because that

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<v Speaker 3>makes it difficult for businesses to operate, right?

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<v Speaker 5>Talk about.

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<v Speaker 2>Paul's great question in nominal GDP, this boom economy, and

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<v Speaker 2>yet if I look up credit card delinquencies or percentage

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<v Speaker 2>of month-to-month expenditures on credit cards, it's beyond ugly.

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<v Speaker 3>It's not mean for everyone.

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<v Speaker 5>Do you agree we've never seen this before?

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<v Speaker 3>Well, I think you need to look at credit card

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<v Speaker 3>debt and credit card expenditures as a ratio of overall consumption, right?

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<v Speaker 3>So with that number is growing, obviously the credit card

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<v Speaker 3>number then also grows. How is it growing proportionately? And

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<v Speaker 3>so if we look at it in terms of how

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<v Speaker 3>it's growing proportionately, it's really in line. But then if

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<v Speaker 3>we look at where our delinquency is starting to tick up,

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<v Speaker 3>who are the consumers and households that are really stretched?

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<v Speaker 2>Right.

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<v Speaker 3>And there's a significant cohort of them.

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<v Speaker 5>Okay, Constance, thank you so much.

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<v Speaker 2>Constance Hunter getting us started this morning with EIU and,

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<v Speaker 2>of course, her work with Julia Coronado, Macro Policy Perspectives.

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<v Speaker 5>Stay with us.

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<v Speaker 7>More from Bloomberg Surveillance coming up after this.

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<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

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<v Speaker 2>Dominic Constance, without question, our global Wall Street interview of

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<v Speaker 2>the day, definitive at Mizzou, all of his decades at

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<v Speaker 2>Credit Suisse as well. Never have I seen you top

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<v Speaker 2>out a note on the jobs market. Paul and I

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<v Speaker 2>called yesterday seismic. that Microsoft are asking 60,000 people to

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<v Speaker 2>head for the door. You and I and Clement Attlee

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<v Speaker 2>have never seen this before. I mean, tell me about

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<v Speaker 2>the jobs market.

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<v Speaker 8>Well, I guess the idea is that the workforce is

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<v Speaker 8>lower and we're still able to create enough jobs to

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<v Speaker 8>keep unemployment unchanged. But clearly, we're at the precipice, maybe,

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<v Speaker 8>where with this AI thing, you know, we might be

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<v Speaker 8>changing that and Microsoft might well be reflecting that. And

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<v Speaker 8>you're seeing a bit more and more of that. However,

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<v Speaker 8>I would sort of suggest that Walsh and I sort

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<v Speaker 8>of share something in common in the sense that When

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<v Speaker 8>you have these sort of productivity events, usually the labor

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<v Speaker 8>demand recovers as productivity expands and you reabsorb these workers.

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<v Speaker 2>But the analog all of our listeners are using is

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<v Speaker 2>we had textile workers in the Carolinas.

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<v Speaker 5>Dominic, that's down south in America.

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<v Speaker 2>Yeah.

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<v Speaker 5>The Carolinas.

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<v Speaker 2>They went to China. They went to Asia. And we

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<v Speaker 2>didn't replace those jobs. Do we risk that again?

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<v Speaker 8>Well, I mean, as a transitory phenomenon, yes, a little bit.

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<v Speaker 8>But I mean, you know, supply creates its demand. And

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<v Speaker 8>when you have excess supply in the States initially, then

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<v Speaker 8>I think that will get reabsorbed and you'll create the

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<v Speaker 8>demand to support it. And it's going to be in

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<v Speaker 8>different areas. I think the economy basically has a way.

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<v Speaker 8>of basically dealing with this. And I wouldn't be afraid

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<v Speaker 8>of this sort of Luddite sort of idea that we're

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<v Speaker 8>forever going to create a mass unemployment that somehow can't

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<v Speaker 8>be reabsorbed. I think the bigger issue is actually income

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<v Speaker 8>and capital distribution. I think the idea is that the

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<v Speaker 8>terms on which labor gets reabsorbed basically might be less

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<v Speaker 8>favorable in terms of real wages and ultimately capital and

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<v Speaker 8>the people's ability to own a pension and buy a house.

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<v Speaker 8>And that is where a policy has to come into effect.

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<v Speaker 8>So that's your kind of K-shaped economy. That's a much

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<v Speaker 8>bigger issue than I think people being made redundant and

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<v Speaker 8>never getting a job back again. I think that won't happen.

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<v Speaker 4>So if the Fed, which we're going to hear from today,

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<v Speaker 4>and Tom will have full coverage starting at 1.30 p.m.

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<v Speaker 4>Wall Street time, Fed focusing on inflation, There's not much

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<v Speaker 4>they can do there. I mean, it seems like the

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<v Speaker 4>energy is going to do what it's going to do.

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<v Speaker 4>AI is there. It doesn't seem to be going away.

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<v Speaker 4>And that probably has some inflationary push. What can the

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<v Speaker 4>Federal Reserve really do here? I mean, it suggests that

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<v Speaker 4>they should just sit on their hands and kind of

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<v Speaker 4>see how things play out.

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<v Speaker 8>I mean, it's a great question. I mean, when you

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<v Speaker 8>look at all the models on inflation, I mean, the

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<v Speaker 8>thing that stands out is inflation expectations matter a lot

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<v Speaker 8>for inflation. and the Fed itself matters much less. I mean,

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<v Speaker 8>it doesn't mean the Fed doesn't matter, but it's more

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<v Speaker 8>important to actually bring down, especially the front end inflation expectations.

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<v Speaker 8>And to some extent, maybe the Fed hiking rates helps

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<v Speaker 8>do that. I think really, what the Fed is, where

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<v Speaker 8>they do matter, is they give you some sense of

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<v Speaker 8>credibility in the inflation fight that helps stabilize a long

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<v Speaker 8>end of the market, in rates markets. So I think

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<v Speaker 8>what the Fed is doing, to some extent, will help

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<v Speaker 8>reduce inflation in addition to to assuming inflation expectations normalize.

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<v Speaker 8>But the bigger issue is by being seen to be

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<v Speaker 8>caring about inflation, they get credibility for the long end

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<v Speaker 8>of the market, which stops interest rates going up to, say, 6%

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<v Speaker 8>in 10s or 30s. And that's kind of where we're at.

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<v Speaker 4>I mean, again, the 10s, you mentioned sitting right at 5%.

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<v Speaker 4>Is this a reasonable level for the yield curve to

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<v Speaker 4>be at, given that This economy is growing pretty darn quickly.

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<v Speaker 4>So maybe rates are where they should be.

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<v Speaker 2>I don't know. MARK BLYTH, JR.

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<v Speaker 8>Well, yeah, what do you mean by reasonable? I mean,

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<v Speaker 8>it's certainly not reasonable for debt service. I mean, it's

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<v Speaker 8>a big problem for a lot of countries, including the US,

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<v Speaker 8>to have rates this high. There's nothing about stabilizing the

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<v Speaker 8>debt and having discretionary spending available to the government with

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<v Speaker 8>interest rates this high. I think if you're thinking about

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<v Speaker 8>the economy, then yeah, I mean, it's not totally unreasonable.

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<v Speaker 8>It's probably a little bit high. I mean, I think

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<v Speaker 8>the idea is that inflation is running at 2% and

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<v Speaker 8>real growth, even if it was 3%, you still probably

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<v Speaker 8>ought to have a government security that's close to 4,

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<v Speaker 8>not 5. And based on that, you could argue it

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<v Speaker 8>could be a little bit lower in the end. But

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<v Speaker 8>right now, obviously, you've got this inflation problem. And it's

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<v Speaker 8>a big problem, and it's going to take a long

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<v Speaker 8>time to fix.

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<v Speaker 5>Dominic Constan with us from Missoula. Paul, can we go

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<v Speaker 5>Austrian economics?

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<v Speaker 4>Sure.

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<v Speaker 5>I mean, I'm thinking of Hawtree in England. Did you

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<v Speaker 5>study with Hawtree?

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<v Speaker 6>No.

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<v Speaker 8>Was he an agent?

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<v Speaker 2>No.

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<v Speaker 5>Maybe he died by then.

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<v Speaker 8>Yeah, probably.

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<v Speaker 5>Capital deepening.

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<v Speaker 2>Dominic Constan instructed me and Ira Jersey on capital deepening

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<v Speaker 2>for productivity swings alone. What's the character of AI capital

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<v Speaker 2>deepening you see in this CapEx frenzy?

0:11:53.640 --> 0:11:57.040
<v Speaker 8>Um, well, I mean, capital deeming strictly means, you know,

0:11:57.080 --> 0:12:00.560
<v Speaker 8>you can make more output, you know, with relatively more

0:12:00.600 --> 0:12:02.719
<v Speaker 8>capital to labor. So it's a sort of ratio, if

0:12:02.740 --> 0:12:06.060
<v Speaker 8>you like, of labor to capital use and productivity. So clearly,

0:12:06.559 --> 0:12:08.440
<v Speaker 8>you know, given we just talked about, you know, Microsoft

0:12:08.460 --> 0:12:11.080
<v Speaker 8>getting rid of jobs, et cetera, that's consistent with that

0:12:11.140 --> 0:12:14.000
<v Speaker 8>labor input sort of being somewhat weaker. And yet we're

0:12:14.070 --> 0:12:16.170
<v Speaker 8>adding a lot of capital. And capital comes in lots

0:12:16.210 --> 0:12:18.850
<v Speaker 8>of different forms. It used to be obviously structures. But

0:12:18.890 --> 0:12:21.170
<v Speaker 8>now it includes software and all of that sort of

0:12:21.670 --> 0:12:26.480
<v Speaker 8>intelligent capital. And that's really what AI is delivering. And,

0:12:26.800 --> 0:12:30.660
<v Speaker 8>I mean, we have productivity miracles that happen right the

0:12:30.679 --> 0:12:33.480
<v Speaker 8>way through centuries. And there are these Kuznets cycles and

0:12:33.500 --> 0:12:36.500
<v Speaker 8>conjugative waves. And they're like 20 years or 50 years.

0:12:36.740 --> 0:12:38.760
<v Speaker 8>But basically, I like the 20-year one, which is Kuznets.

0:12:39.110 --> 0:12:41.730
<v Speaker 8>And that basically is sort of where we're now. Last

0:12:41.750 --> 0:12:43.710
<v Speaker 8>time we had a prodigy miracle was about 20 years ago.

0:12:43.830 --> 0:12:44.410
<v Speaker 5>This is great.

0:12:44.470 --> 0:12:46.670
<v Speaker 2>Okay, we're going to go to Kuznets here. I'm going

0:12:46.730 --> 0:12:50.970
<v Speaker 2>to go 1947 is after Autry. Okay, fine, Dominic. Except

0:12:51.150 --> 0:12:54.700
<v Speaker 2>I don't know the depreciation cycle of all this capex

0:12:54.760 --> 0:12:58.079
<v Speaker 2>being spent on all this stuff. We're going into this

0:12:58.320 --> 0:13:01.130
<v Speaker 2>blind compared to what they did in the 50s and 60s.

0:13:02.490 --> 0:13:05.810
<v Speaker 8>Yeah, that's an interesting one, the depreciation. I think the

0:13:05.929 --> 0:13:10.220
<v Speaker 8>idea basically is that these things perhaps are not depreciating

0:13:10.700 --> 0:13:13.360
<v Speaker 8>as fast as you might think. I mean, this has

0:13:13.380 --> 0:13:16.640
<v Speaker 8>been one of the issues around AI valuations. I mean, basically,

0:13:16.660 --> 0:13:19.500
<v Speaker 8>you're still, I understand, you're still using a lot of

0:13:19.600 --> 0:13:21.380
<v Speaker 8>chips that came out a few years ago that still

0:13:21.400 --> 0:13:25.540
<v Speaker 8>have a tremendous amount of sort of use in them still,

0:13:26.100 --> 0:13:30.900
<v Speaker 8>which is basically allowing the capital deepening to be even greater, basically.

0:13:31.750 --> 0:13:35.960
<v Speaker 8>because there's less depreciation. So I think in a way,

0:13:36.000 --> 0:13:38.500
<v Speaker 8>this is a more profound capital deepening than perhaps we've

0:13:38.520 --> 0:13:41.380
<v Speaker 8>seen before, when depreciation might be much faster and all

0:13:41.420 --> 0:13:43.459
<v Speaker 8>the capital you've been spending just has to be replaced

0:13:43.480 --> 0:13:46.840
<v Speaker 8>very quickly. So net capital stock isn't increasing as much.

0:13:47.980 --> 0:13:51.600
<v Speaker 4>What do you think of that S1 from Anthropic? I'm

0:13:51.620 --> 0:13:53.920
<v Speaker 4>sure you've poured through every page here. I mean, this

0:13:53.990 --> 0:13:56.030
<v Speaker 4>is the AI dawning moment, I guess.

0:13:56.110 --> 0:13:59.120
<v Speaker 5>I don't know. Well, I mean, I observe.

0:14:00.480 --> 0:14:02.929
<v Speaker 8>From where I work and the clients that we interact

0:14:02.970 --> 0:14:06.760
<v Speaker 8>with and obviously our own bank, that the take-up of

0:14:07.500 --> 0:14:12.560
<v Speaker 8>these language models is really still only just beginning. I mean,

0:14:12.600 --> 0:14:15.760
<v Speaker 8>you know, I'm using Claude a lot now. But I

0:14:15.800 --> 0:14:19.060
<v Speaker 8>would say six months ago, a year ago, you know,

0:14:19.180 --> 0:14:21.330
<v Speaker 8>it was really peripheral. It was really more for sort of,

0:14:21.340 --> 0:14:23.320
<v Speaker 8>you know, instead of search. So I think from the

0:14:23.440 --> 0:14:26.140
<v Speaker 8>business side, this thing is really just beginning. And we're

0:14:26.160 --> 0:14:28.620
<v Speaker 8>not spending that much money on it yet in terms

0:14:28.640 --> 0:14:29.320
<v Speaker 8>of a customer.

0:14:29.460 --> 0:14:34.440
<v Speaker 2>I've got to squeeze this in. Simon Kuznets, Nobel Prize winner, 1972. One,

0:14:34.580 --> 0:14:39.600
<v Speaker 2>he said, don't confuse GDP with well-being. Are we right

0:14:39.640 --> 0:14:41.940
<v Speaker 2>now confusing our nominal GDP.

0:14:41.980 --> 0:14:43.480
<v Speaker 5>Boom with well-being?

0:14:43.820 --> 0:14:45.720
<v Speaker 8>This is my favorite topic. I mean, I think the

0:14:45.740 --> 0:14:48.680
<v Speaker 8>GDP is a terrible measure of welfare. And the reason

0:14:48.760 --> 0:14:51.560
<v Speaker 8>why people are miserable is because GDP is not the

0:14:51.600 --> 0:14:52.540
<v Speaker 8>right way to be looking at it.

0:14:52.540 --> 0:14:52.920
<v Speaker 5>Thank you.

0:14:53.060 --> 0:14:55.480
<v Speaker 8>You have to look at consumer surplus. Consumers get a

0:14:55.600 --> 0:14:58.920
<v Speaker 8>wonderful gain from wanting something and not having to pay

0:14:59.040 --> 0:15:01.350
<v Speaker 8>as much for it as they're willing to pay. That

0:15:01.610 --> 0:15:03.750
<v Speaker 8>is why profits, by the way, are so high. because

0:15:03.810 --> 0:15:06.830
<v Speaker 8>companies are taking that consumer surplus and putting it into profit.

0:15:07.030 --> 0:15:10.430
<v Speaker 2>Dominic Karsten, my clinic there, did you ever think, Mike

0:15:10.450 --> 0:15:12.250
<v Speaker 2>Bloomberg came up to me once, he said, you've got

0:15:12.290 --> 0:15:14.310
<v Speaker 2>to get Simon Kuznets into the show.

0:15:14.370 --> 0:15:16.690
<v Speaker 4>Yeah, exactly. For the ratings.

0:15:16.870 --> 0:15:21.250
<v Speaker 2>That was a clinic on British mid-20th century economics.

0:15:23.200 --> 0:15:23.800
<v Speaker 5>Stay with us.

0:15:24.100 --> 0:15:27.340
<v Speaker 7>More from Bloomberg Surveillance coming up after this.

0:15:34.600 --> 0:15:38.200
<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

0:15:38.280 --> 0:15:41.460
<v Speaker 1>weekday afternoons from 7 to 10 a.m. Eastern. Listen on

0:15:41.560 --> 0:15:44.820
<v Speaker 1>Apple CarPlay and Android Auto with the Bloomberg Business app

0:15:45.020 --> 0:15:46.720
<v Speaker 1>or watch us live on YouTube.

0:15:47.140 --> 0:15:49.860
<v Speaker 2>This is a good time to speak to David Schlosser,

0:15:50.640 --> 0:15:54.520
<v Speaker 2>multi-asset solutions at VanEck. And I bring that up because,

0:15:54.740 --> 0:15:57.979
<v Speaker 2>you know, they were alternative before alternative was alternative, I

0:15:58.020 --> 0:15:59.600
<v Speaker 2>think is how.

0:15:59.500 --> 0:16:03.460
<v Speaker 5>I put it. And I love, love your comments here.

0:16:04.050 --> 0:16:05.030
<v Speaker 2>On AI.

0:16:05.210 --> 0:16:08.500
<v Speaker 5>I mean, you nailed it. Everyone loves to hate AI

0:16:08.580 --> 0:16:09.140
<v Speaker 5>right now.

0:16:09.880 --> 0:16:13.240
<v Speaker 2>So over the next five days, what do you see

0:16:13.240 --> 0:16:17.240
<v Speaker 2>10 days out after we get a report on AI

0:16:17.540 --> 0:16:20.710
<v Speaker 2>from 43% of the S &amp; P 500 market cap?

0:16:21.390 --> 0:16:23.450
<v Speaker 6>Five days out is pretty tough, but let's push it

0:16:23.490 --> 0:16:26.990
<v Speaker 6>out a little bit further here. So first off, really

0:16:27.010 --> 0:16:30.400
<v Speaker 6>big picture. We are macro investors. We are thematic investors.

0:16:30.440 --> 0:16:32.180
<v Speaker 6>And we believe you make most of your money from

0:16:32.240 --> 0:16:33.640
<v Speaker 6>riding trends. You want to do it in the most

0:16:33.680 --> 0:16:37.600
<v Speaker 6>diversified way possible. And now on AI, the most hated

0:16:37.700 --> 0:16:41.260
<v Speaker 6>trade ever. Here's the thing. People are already writing it off.

0:16:41.440 --> 0:16:44.860
<v Speaker 6>The technology is still being refined. It's improving at rates

0:16:44.980 --> 0:16:48.040
<v Speaker 6>faster and faster and faster. The infrastructure is still being built.

0:16:48.210 --> 0:16:50.020
<v Speaker 6>Companies are still trying to figure out how to use it.

0:16:50.690 --> 0:16:51.990
<v Speaker 6>Yet if you speak to a lot of people, they

0:16:52.010 --> 0:16:53.830
<v Speaker 6>think the trend is completely over. We don't think that

0:16:53.890 --> 0:16:56.810
<v Speaker 6>that's right at all. You know, the best way to

0:16:56.850 --> 0:16:58.970
<v Speaker 6>play it, we think, from here is you want to

0:16:59.010 --> 0:17:02.410
<v Speaker 6>think about infrastructure development companies, right? No matter who wins

0:17:02.450 --> 0:17:05.510
<v Speaker 6>on the technology side, the winners and losers are constantly changing, right?

0:17:05.530 --> 0:17:07.250
<v Speaker 6>You develop a new model, you generally get six to

0:17:07.270 --> 0:17:09.850
<v Speaker 6>eight weeks before you get leapfrogged. No matter who wins

0:17:09.890 --> 0:17:12.470
<v Speaker 6>on the technology side, everybody's going to pay their electric bill.

0:17:12.910 --> 0:17:15.710
<v Speaker 6>Infrastructure development stocks, a lot of these are beaten down significantly.

0:17:15.730 --> 0:17:17.419
<v Speaker 6>A lot of these look like the same prices that

0:17:17.440 --> 0:17:20.180
<v Speaker 6>they were in the beginning of the year. So buy

0:17:20.220 --> 0:17:22.140
<v Speaker 6>the dip on those, do it very, very broadly. That's

0:17:22.160 --> 0:17:22.600
<v Speaker 6>where we're at.

0:17:23.440 --> 0:17:26.460
<v Speaker 4>What did you make of This S1 we saw from

0:17:26.600 --> 0:17:30.990
<v Speaker 4>Anthropic just dropped this yesterday, I guess. What does that

0:17:31.030 --> 0:17:33.530
<v Speaker 4>mean for the space? Are your phones ringing off the hook?

0:17:33.550 --> 0:17:36.350
<v Speaker 4>Your clients want exposure? What did you guys make of that?

0:17:37.210 --> 0:17:41.690
<v Speaker 6>We think from a very, very high-level perspective, it's just

0:17:41.820 --> 0:17:45.320
<v Speaker 6>more of the same thesis, right? Everybody's investing. Everybody's starving

0:17:45.340 --> 0:17:48.300
<v Speaker 6>for capital. More and more and more and more.

0:17:48.160 --> 0:17:48.660
<v Speaker 4>Of the same.

0:17:49.140 --> 0:17:51.399
<v Speaker 6>The situation is this, is that if you take it

0:17:51.440 --> 0:17:55.480
<v Speaker 6>from a really, really high-level perspective, People are trying to

0:17:55.520 --> 0:17:59.060
<v Speaker 6>constantly write off the trade, tell you why it's a problem.

0:17:59.260 --> 0:18:00.619
<v Speaker 6>At first, it was going to take our jobs and

0:18:00.660 --> 0:18:02.520
<v Speaker 6>it was going to take our lives. Now we can't

0:18:02.600 --> 0:18:06.200
<v Speaker 6>fund it. There is a scarcity of capital. It is

0:18:06.260 --> 0:18:10.929
<v Speaker 6>a friction. But bubbles aren't popped when people exactly know

0:18:10.970 --> 0:18:13.550
<v Speaker 6>how it's going to happen. Bull markets don't end this way.

0:18:13.590 --> 0:18:15.590
<v Speaker 6>We're very, very early in this. We think it runs

0:18:15.630 --> 0:18:17.170
<v Speaker 6>for a very, very long period of time.

0:18:17.609 --> 0:18:18.270
<v Speaker 5>Dovetail.

0:18:19.060 --> 0:18:23.740
<v Speaker 2>All the ability of VanEck on commodities, on metals, on gold,

0:18:24.380 --> 0:18:28.980
<v Speaker 2>dovetail that into the infrastructure build-out of AI. What do

0:18:29.030 --> 0:18:34.210
<v Speaker 2>you see as how it buttresses into the commodity cycle

0:18:34.710 --> 0:18:37.370
<v Speaker 2>in VanEck precious metals, but everything else as well?

0:18:39.109 --> 0:18:41.070
<v Speaker 6>We think about it this way. We want to have

0:18:41.130 --> 0:18:43.910
<v Speaker 6>exposure to the entire opportunity set. We want to have

0:18:43.970 --> 0:18:48.350
<v Speaker 6>exposure to everything below the earth. Think of copper, minerals, metals, energy, right?

0:18:48.550 --> 0:18:51.930
<v Speaker 6>The company's benefiting from the extraction, refinement, distribution of commodities,

0:18:52.030 --> 0:18:56.820
<v Speaker 6>natural resource equities, infrastructure development, the rails, moving the energy, MLPs.

0:18:56.880 --> 0:18:59.500
<v Speaker 6>We want the entire opportunity set, right? From all the

0:18:59.540 --> 0:19:00.959
<v Speaker 6>way from below the earth, all the way to the

0:19:00.980 --> 0:19:02.980
<v Speaker 6>refined product, which is the finished product, which is the

0:19:03.020 --> 0:19:05.020
<v Speaker 6>data centers. That's what we're focusing on. So we are

0:19:05.260 --> 0:19:07.980
<v Speaker 6>leaning into technology. We're doing that as well, but we're

0:19:08.000 --> 0:19:10.600
<v Speaker 6>also barbelling it through the infrastructure development. That's the way

0:19:10.619 --> 0:19:11.920
<v Speaker 6>that we're doing it.

0:19:11.940 --> 0:19:14.550
<v Speaker 4>So how are those... I mean, it was... A lot

0:19:14.570 --> 0:19:16.330
<v Speaker 4>of folks will come in here and say, I'm looking

0:19:16.369 --> 0:19:19.850
<v Speaker 4>for a hedge on AI. And it's hard to find one.

0:19:20.609 --> 0:19:22.189
<v Speaker 4>I should throw out, well, just buy a utility with

0:19:22.230 --> 0:19:26.220
<v Speaker 4>a dividend. No, utilities are ripped because of the power

0:19:26.260 --> 0:19:29.720
<v Speaker 4>play there. Are you thinking about hedging at all this AI?

0:19:29.840 --> 0:19:32.800
<v Speaker 4>Are you just kind of long across the board?

0:19:33.640 --> 0:19:35.500
<v Speaker 6>The world has changed in a pretty funny way. It's

0:19:35.540 --> 0:19:37.550
<v Speaker 6>really hard to predict. So think about it this way.

0:19:37.900 --> 0:19:40.170
<v Speaker 6>We've made most of this money this year from refined product.

0:19:40.760 --> 0:19:42.220
<v Speaker 6>If you and I would have been sitting down having

0:19:42.240 --> 0:19:43.570
<v Speaker 6>a beer on New Year's Eve and we said, Dave,

0:19:43.590 --> 0:19:44.710
<v Speaker 6>how are you going to make most of your money

0:19:44.750 --> 0:19:46.830
<v Speaker 6>in 2026? I wouldn't have said, listen, this is what

0:19:46.850 --> 0:19:50.660
<v Speaker 6>we're going to do. We're going to buy heating oil diesel,

0:19:50.780 --> 0:19:52.960
<v Speaker 6>Euro gas, et cetera, and refined products and go through

0:19:52.980 --> 0:19:55.139
<v Speaker 6>the moon that Iran was going to be invaded and

0:19:55.160 --> 0:19:56.540
<v Speaker 6>that Russia and Ukraine were going to blow up each

0:19:56.560 --> 0:19:59.240
<v Speaker 6>other's refining capacity. We wouldn't have said that. So point

0:19:59.260 --> 0:20:01.320
<v Speaker 6>of that whole message is really, really simple. You want

0:20:01.359 --> 0:20:03.219
<v Speaker 6>to spread the peanut butter as much as you possibly

0:20:03.240 --> 0:20:06.189
<v Speaker 6>can across all the assets that are scarce. When you

0:20:06.230 --> 0:20:08.390
<v Speaker 6>do that, you could sit back and benefit from that

0:20:08.470 --> 0:20:11.389
<v Speaker 6>scarcity and the different return drivers over time. Gold's a

0:20:11.430 --> 0:20:12.190
<v Speaker 6>funny one, right?

0:20:12.210 --> 0:20:15.070
<v Speaker 4>Let's talk about gold because that's hit 5,000. We pulled

0:20:15.090 --> 0:20:16.859
<v Speaker 4>back down to 4,000.

0:20:16.859 --> 0:20:19.719
<v Speaker 6>We were well above $ 5, 000. So, you know, you're close to,

0:20:19.840 --> 0:20:21.380
<v Speaker 6>you're around $ 5, 500 and now we're at $ 4, 000. Now, here's

0:20:21.400 --> 0:20:21.760
<v Speaker 6>the funny thing.

0:20:21.780 --> 0:20:22.060
<v Speaker 4>The catalysts.

0:20:27.119 --> 0:20:33.670
<v Speaker 6>Gold are significantly more elevated now than they were at $ 5, 500.

0:20:31.230 --> 0:20:34.390
<v Speaker 6>Why do people buy gold? They buy gold for protection.

0:20:34.830 --> 0:20:38.810
<v Speaker 6>They buy them from the basement protection, inflation protection, geopolitical

0:20:38.930 --> 0:20:42.880
<v Speaker 6>shock protection, weaponization of the US dollar, right? Broad-based uncertainty.

0:20:43.080 --> 0:20:45.000
<v Speaker 6>So if you take all the factors when gold was

0:20:45.080 --> 0:20:47.160
<v Speaker 6>peaked out and then you pull them forward to today,

0:20:47.220 --> 0:20:50.060
<v Speaker 6>the catalysts are significantly higher. Why did gold correct? Gold

0:20:50.100 --> 0:20:54.869
<v Speaker 6>corrected because prices were overbought, And then interest rates were higher,

0:20:55.240 --> 0:20:58.110
<v Speaker 6>dollars stronger. We think gold goes a lot higher. You

0:20:58.130 --> 0:20:59.409
<v Speaker 6>think you go to $ 5, 500 and beyond.

0:20:59.430 --> 0:21:01.110
<v Speaker 5>I mean, this is textbook VanEck.

0:21:01.170 --> 0:21:03.350
<v Speaker 2>And if you can't comment on this stock, but it's

0:21:03.550 --> 0:21:09.629
<v Speaker 2>just too much romance here. Saskatoon, Saskatchewan.

0:21:09.770 --> 0:21:12.450
<v Speaker 5>Oh, boy. 25,000 employees. Nutrien.

0:21:12.910 --> 0:21:16.720
<v Speaker 2>I'm sure they had some amalgamated fertilizer name years ago.

0:21:17.320 --> 0:21:22.400
<v Speaker 5>And they distribute potash, nitrogen, and phosphate products. How boring.

0:21:22.930 --> 0:21:25.129
<v Speaker 2>And yet that's the biggest holding in one of your funds.

0:21:25.850 --> 0:21:30.970
<v Speaker 2>I mean, it's, again, boring commodities is what you're looking at, right?

0:21:33.010 --> 0:21:35.590
<v Speaker 6>So I'm not going to comment on specific stocks, but

0:21:35.609 --> 0:21:38.330
<v Speaker 6>what I would say this is that assets with embed

0:21:38.410 --> 0:21:40.690
<v Speaker 6>scarcity really come to life. If you think about the

0:21:40.730 --> 0:21:44.630
<v Speaker 6>world from a really, really simple perspective, the barriers to growth.

0:21:44.690 --> 0:21:46.570
<v Speaker 6>So we always talk about bottleneck investing. When I say

0:21:46.609 --> 0:21:50.070
<v Speaker 6>bottleneck investing, what am I saying? What scarcity is preventing growth?

0:21:51.020 --> 0:21:54.470
<v Speaker 6>And scarcity are now physical assets. Physical assets are the

0:21:54.490 --> 0:21:57.730
<v Speaker 6>building blocks of growth. They are the ultimate bottleneck. What

0:21:57.750 --> 0:21:59.609
<v Speaker 6>does the world suddenly need but there's not enough of?

0:22:00.190 --> 0:22:02.310
<v Speaker 6>You want to do that in the most diversified way possible.

0:22:02.350 --> 0:22:04.550
<v Speaker 6>So you can go across the entire commodity complex. What

0:22:04.650 --> 0:22:06.470
<v Speaker 6>is boring in a different regime is not boring in

0:22:06.490 --> 0:22:08.150
<v Speaker 6>the next one. In the next one, we're talking about

0:22:08.190 --> 0:22:12.190
<v Speaker 6>a higher growth regime. AI promises more productivity, more economic growth.

0:22:12.230 --> 0:22:13.580
<v Speaker 6>If you're going to get more economic growth, you need

0:22:13.619 --> 0:22:15.679
<v Speaker 6>those physical assets. But it's not just for the build-out.

0:22:16.369 --> 0:22:18.830
<v Speaker 6>Because the hope is more productivity and growth. Then you're

0:22:18.850 --> 0:22:20.970
<v Speaker 6>going to get rising living standards. People consume more. That's

0:22:20.990 --> 0:22:21.409
<v Speaker 6>the whole idea.

0:22:21.430 --> 0:22:25.270
<v Speaker 2>What's your X axis on that? What's the timeline to

0:22:25.310 --> 0:22:29.250
<v Speaker 2>get proof of AI concept for the gloom crew?

0:22:29.730 --> 0:22:34.690
<v Speaker 6>You're already seeing it. I mean, look at Meta in September, right?

0:22:34.730 --> 0:22:38.150
<v Speaker 6>It was up 27% off of increased advertising as well

0:22:38.210 --> 0:22:40.169
<v Speaker 6>as Muse adoption, right? You're going to see more and

0:22:40.210 --> 0:22:42.470
<v Speaker 6>more of that. We're in the early stages. It's a

0:22:42.530 --> 0:22:45.030
<v Speaker 6>pivotal technology with big, big promises. It's going to take

0:22:45.060 --> 0:22:47.780
<v Speaker 6>some time. Five to seven years is likely where you're at.

0:22:48.119 --> 0:22:50.340
<v Speaker 6>Everybody wants it now, but they've got to realize how

0:22:50.380 --> 0:22:51.220
<v Speaker 6>fast they can move.

0:22:51.900 --> 0:22:53.940
<v Speaker 5>Are you based in Saskatoon or New York?

0:22:54.140 --> 0:22:55.120
<v Speaker 6>I'm right in Midtown, sir.

0:22:55.160 --> 0:22:55.480
<v Speaker 5>Good.

0:22:55.500 --> 0:22:58.380
<v Speaker 2>David, thank you so much. David Schleser with us. Love

0:22:58.400 --> 0:23:02.280
<v Speaker 2>it from VanEck Funds as well. Multi-asset solutions.

0:23:04.290 --> 0:23:08.430
<v Speaker 7>Stay with us. More from Bloomberg Surveillance coming up after this.

0:23:15.690 --> 0:23:19.290
<v Speaker 1>You're listening to the Bloomberg Surveillance Podcast. Catch us live

0:23:19.369 --> 0:23:21.450
<v Speaker 1>weekday afternoons from 7 to 10 a.m.

0:23:21.490 --> 0:23:21.890
<v Speaker 7>Eastern.

0:23:21.990 --> 0:23:25.280
<v Speaker 1>Listen on Apple CarPlay and Android Auto with the Bloomberg

0:23:25.320 --> 0:23:27.840
<v Speaker 1>Business app. Or watch us live on YouTube.

0:23:28.320 --> 0:23:29.100
<v Speaker 5>This is a joy.

0:23:29.140 --> 0:23:32.850
<v Speaker 2>It's a three-hour conversation with Ed Ludlow in way too

0:23:32.960 --> 0:23:38.250
<v Speaker 2>early on the West Coast, driving all of our technology coverage. Ed,

0:23:38.369 --> 0:23:42.640
<v Speaker 2>without question, for Paul Sweeney and I, The idea that

0:23:42.840 --> 0:23:46.490
<v Speaker 2>any major blue chip company, Ed, that's a phrase from

0:23:46.490 --> 0:23:53.929
<v Speaker 2>50 years ago, would eliminate 26.9% of their workforce is

0:23:54.210 --> 0:23:59.060
<v Speaker 2>never before seen. What in the coffee shops... In the

0:23:59.160 --> 0:24:03.990
<v Speaker 2>Bentley dealerships, what's the response of Tech Bro to what

0:24:04.190 --> 0:24:10.600
<v Speaker 2>Microsoft's 60,000 employee buyout? How has that been handled, taken

0:24:10.720 --> 0:24:13.340
<v Speaker 2>in by the people that follow Ed Ludlow?

0:24:14.150 --> 0:24:16.160
<v Speaker 9>There was a magic TV moment yesterday on the show

0:24:16.180 --> 0:24:18.159
<v Speaker 9>where I read out the headline when it broke and

0:24:18.200 --> 0:24:21.280
<v Speaker 9>Bloomberg's Brody Ford took like a big pause and goes,

0:24:21.960 --> 0:24:24.890
<v Speaker 9>this is a big number. And it was just like

0:24:24.930 --> 0:24:29.010
<v Speaker 9>classic TV news, but it is a big number. You know,

0:24:29.150 --> 0:24:31.070
<v Speaker 9>Microsoft is a giant company.

0:24:31.090 --> 0:24:31.330
<v Speaker 2>It had.

0:24:31.810 --> 0:24:35.060
<v Speaker 9>More than 200,000 employees by the end of June. But,

0:24:35.859 --> 0:24:38.500
<v Speaker 9>you know, how many people do you really need to

0:24:38.619 --> 0:24:41.460
<v Speaker 9>market and get sales channels for software? You know, at

0:24:41.480 --> 0:24:43.670
<v Speaker 9>the end of the day, that's what Microsoft does still.

0:24:43.750 --> 0:24:48.500
<v Speaker 9>So they are there's a really straightforward story, right? Wall

0:24:48.540 --> 0:24:51.820
<v Speaker 9>Street cares about free cash flow now. It really does.

0:24:52.440 --> 0:24:54.859
<v Speaker 9>And if you are committed to spending at the levels

0:24:54.900 --> 0:24:58.359
<v Speaker 9>that Microsoft is, something has to be a mechanism for

0:24:58.400 --> 0:25:01.300
<v Speaker 9>belt tightening. And that's the answer, Tom. But it was

0:25:01.320 --> 0:25:02.340
<v Speaker 9>a big number, yeah.

0:25:02.720 --> 0:25:05.119
<v Speaker 5>Okay, they're lemmings off the cliff. Are we going to

0:25:05.160 --> 0:25:05.950
<v Speaker 5>see more of this?

0:25:08.869 --> 0:25:11.609
<v Speaker 9>Stack up all of the big technology names, stocks, and

0:25:11.630 --> 0:25:13.750
<v Speaker 9>look at their performance year to date and ask, what

0:25:13.810 --> 0:25:16.850
<v Speaker 9>is it that distinguishes them? Top of the log is

0:25:16.950 --> 0:25:20.070
<v Speaker 9>Apple and NVIDIA. And bottom of the log is Meta

0:25:20.270 --> 0:25:22.130
<v Speaker 9>and Alphabet and Microsoft somewhere in the middle.

0:25:22.820 --> 0:25:23.680
<v Speaker 4>Bottom of the log.

0:25:23.540 --> 0:25:26.240
<v Speaker 9>Has negative free cash flow. And those are the companies

0:25:26.260 --> 0:25:28.940
<v Speaker 9>that have also taken action in most cases. Top of

0:25:28.960 --> 0:25:32.300
<v Speaker 9>the log, throwing off cash like nobody's business. For them,

0:25:32.619 --> 0:25:35.780
<v Speaker 9>they're more worried about shareholder returns than needing to let

0:25:35.820 --> 0:25:40.720
<v Speaker 9>go of anyone. So the market is fickle. And I

0:25:41.220 --> 0:25:44.220
<v Speaker 9>say that carefully in the sense that it is specific

0:25:44.240 --> 0:25:47.350
<v Speaker 9>to the company. When Oracle entered negative free cash flow,

0:25:47.369 --> 0:25:48.909
<v Speaker 9>I remember Paul, you and I were talking about this

0:25:48.970 --> 0:25:51.600
<v Speaker 9>live right at the moment, it was like the apocalypse.

0:25:51.640 --> 0:25:54.300
<v Speaker 9>The world had ended because that company had gone into

0:25:54.340 --> 0:25:57.560
<v Speaker 9>that place for the first time since 92. When others

0:25:57.580 --> 0:26:00.020
<v Speaker 9>have done it like Amazon, the market's super chill.

0:26:00.640 --> 0:26:00.920
<v Speaker 8>Why?

0:26:01.400 --> 0:26:05.180
<v Speaker 9>They just believe that it's not an issue. So when

0:26:05.260 --> 0:26:09.669
<v Speaker 9>companies take action reducing staff, generally it's cheered if the

0:26:09.690 --> 0:26:12.730
<v Speaker 9>market's attitude to that company has been, okay, we're not

0:26:12.790 --> 0:26:15.230
<v Speaker 9>so worried about you being in the profile of negative

0:26:15.270 --> 0:26:18.270
<v Speaker 9>free cash flow. That's kind of dry stuff, but really

0:26:18.290 --> 0:26:20.670
<v Speaker 9>it is specific to that company and whether Wall Street

0:26:20.710 --> 0:26:21.360
<v Speaker 9>likes them or not.

0:26:21.980 --> 0:26:26.700
<v Speaker 4>So Alphabet's shares have lost value since its July 22

0:26:26.700 --> 0:26:29.960
<v Speaker 4>results here. What do you think they need to conveyed

0:26:30.000 --> 0:26:32.220
<v Speaker 4>to the street this evening with their current earnings call.

0:26:33.160 --> 0:26:39.290
<v Speaker 9>So what's astonishing is that it's likely that Google's cloud

0:26:39.350 --> 0:26:43.190
<v Speaker 9>business will grow 91%, maybe not more than 91% year

0:26:43.270 --> 0:26:46.890
<v Speaker 9>on year. The market actually believes that if there's room

0:26:46.910 --> 0:26:49.950
<v Speaker 9>for a surprise to the upside, it is the juggernaut

0:26:49.990 --> 0:26:53.290
<v Speaker 9>of Google's cloud business. What has also happened in the

0:26:53.310 --> 0:26:57.040
<v Speaker 9>court of gone is that Google has had some problems.

0:26:57.850 --> 0:27:01.270
<v Speaker 9>key talents left the company to go elsewhere to start

0:27:01.310 --> 0:27:05.950
<v Speaker 9>their own thing. They are in this position just like

0:27:06.030 --> 0:27:08.970
<v Speaker 9>Meta is where you know Google because when you fire

0:27:09.010 --> 0:27:10.929
<v Speaker 9>up the computer pool and you're like, what happened in

0:27:10.950 --> 0:27:13.650
<v Speaker 9>the game last night? You search in Google, right? That's

0:27:14.130 --> 0:27:16.470
<v Speaker 9>your relationship with it. And they're having a really hard

0:27:16.530 --> 0:27:20.710
<v Speaker 9>time convincing the market of the straightforward equation that if

0:27:20.760 --> 0:27:23.540
<v Speaker 9>their cloud business is growing beyond 90% year on year,

0:27:24.000 --> 0:27:26.919
<v Speaker 9>that's evidence that AI is going well for them. People

0:27:27.000 --> 0:27:29.240
<v Speaker 9>still think it's the core search business and they want

0:27:29.280 --> 0:27:32.580
<v Speaker 9>to see evidence that that core search business is somehow

0:27:32.660 --> 0:27:35.980
<v Speaker 9>made better, is somehow made more profitable by all of

0:27:36.000 --> 0:27:38.600
<v Speaker 9>the work that's gone into AI. To Google's mind, they're

0:27:38.640 --> 0:27:39.780
<v Speaker 9>kind of distinct stories.

0:27:40.850 --> 0:27:43.290
<v Speaker 4>There's no reason to believe that we'll hear from either

0:27:43.369 --> 0:27:47.310
<v Speaker 4>Microsoft or Alphabet that they are reducing the growth rate

0:27:47.330 --> 0:27:49.590
<v Speaker 4>of their spending, will they? No.

0:27:49.910 --> 0:27:51.010
<v Speaker 6>Yep. Big numbers.

0:27:51.170 --> 0:27:51.450
<v Speaker 2>Yeah.

0:27:51.470 --> 0:27:54.370
<v Speaker 9>Uh, I've got them written down here, but yeah, just,

0:27:54.430 --> 0:27:56.109
<v Speaker 9>let's just say they're big numbers. What's the point of

0:27:56.150 --> 0:28:00.050
<v Speaker 9>putting numerics on it? Um, I think, you know, the

0:28:00.090 --> 0:28:03.740
<v Speaker 9>difficulty with all of this is that, uh, you know,

0:28:04.480 --> 0:28:06.560
<v Speaker 9>the bar is, is high. So if you and I

0:28:06.619 --> 0:28:09.179
<v Speaker 9>are having this conversation with Tom six months ago, and

0:28:10.340 --> 0:28:12.000
<v Speaker 9>I came back the next day and said, top line

0:28:12.020 --> 0:28:13.460
<v Speaker 9>growth was as expected.

0:28:13.600 --> 0:28:13.840
<v Speaker 5>Good.

0:28:13.940 --> 0:28:17.450
<v Speaker 9>The market would buy it. Now the Wall Street wants more,

0:28:17.590 --> 0:28:22.159
<v Speaker 9>they want profit. And That's good old-fashioned company earnings coverage.

0:28:22.740 --> 0:28:23.740
<v Speaker 5>Ed, quickly here.

0:28:24.050 --> 0:28:25.070
<v Speaker 7>I've had a conversation.

0:28:25.090 --> 0:28:26.850
<v Speaker 2>I'm not going to drop the names, but a lot

0:28:26.890 --> 0:28:31.470
<v Speaker 2>of fancy people about local AI, where we're going to

0:28:31.550 --> 0:28:36.010
<v Speaker 2>have these magical toys on a computer on our desk.

0:28:36.310 --> 0:28:40.440
<v Speaker 2>It may be slower than Claude or whatever, but is

0:28:40.480 --> 0:28:43.300
<v Speaker 2>this what's coming down the pike where everybody's going to

0:28:43.340 --> 0:28:47.080
<v Speaker 2>have their own thingy on their desk at home.

0:28:47.140 --> 0:28:47.860
<v Speaker 5>And at business?

0:28:49.250 --> 0:28:53.340
<v Speaker 9>Yeah, I mean, the device makers were talking about this

0:28:53.940 --> 0:28:57.380
<v Speaker 9>in the year 2023, immediately following the chat GPT moment,

0:28:57.440 --> 0:29:01.990
<v Speaker 9>that because the modus operandi by which the world interacts

0:29:02.030 --> 0:29:05.010
<v Speaker 9>with AI is their smartphone... You just need to be

0:29:05.130 --> 0:29:07.910
<v Speaker 9>able to contain it on that device. If you fast

0:29:07.950 --> 0:29:11.930
<v Speaker 9>forward to present day, a whole industry has been built

0:29:11.970 --> 0:29:14.730
<v Speaker 9>around this. The idea that what is old is new.

0:29:15.250 --> 0:29:17.690
<v Speaker 9>We are obsessed with the idea that data centers are

0:29:17.730 --> 0:29:19.970
<v Speaker 9>being built around this country seven days out from the

0:29:20.010 --> 0:29:23.250
<v Speaker 9>midterms and everything is up in the cloud. Actually, the

0:29:23.270 --> 0:29:26.310
<v Speaker 9>direction of travel in industry has been the opposite. Companies

0:29:26.350 --> 0:29:29.760
<v Speaker 9>big and small are building little data centers on-prem, which

0:29:29.820 --> 0:29:33.220
<v Speaker 9>is a very old-fashioned term, because they want to have

0:29:33.340 --> 0:29:35.360
<v Speaker 9>all of that AI run locally to them. It's called

0:29:35.700 --> 0:29:39.210
<v Speaker 9>at-the-edge computing. All of this is jargon, but very simply,

0:29:39.230 --> 0:29:43.640
<v Speaker 9>what you're describing where your life, your interaction with AI

0:29:43.820 --> 0:29:46.840
<v Speaker 9>is on your personal computer, closed from the world, that

0:29:46.920 --> 0:29:48.060
<v Speaker 9>is what is happening.

0:29:48.500 --> 0:29:51.260
<v Speaker 5>Okay, this has been wonderful. Ed, huge day for you.

0:29:51.440 --> 0:29:51.960
<v Speaker 5>Thank you so much.

0:29:51.980 --> 0:29:55.180
<v Speaker 2>We really appreciate you coming in. as early as he can.

0:29:55.200 --> 0:29:58.960
<v Speaker 2>He probably came in, like, way more, you know, like, driverless.

0:29:59.440 --> 0:30:03.150
<v Speaker 5>Bloomberg Technology, blah, blah, blah. Driving all that coverage.

0:30:03.350 --> 0:30:08.270
<v Speaker 1>This is the Bloomberg Surveillance Podcast. Available on Apple, Spotify,

0:30:08.390 --> 0:30:12.640
<v Speaker 1>and anywhere else you get your podcasts. Listen live each weekday,

0:30:12.640 --> 0:30:18.080
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