WEBVTT - Bloomberg Surveillance: Nvidia Powers Global Rally

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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>with Paul Sweeney. Join us each day for insight from

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<v Speaker 2>the best in economics, finance, investment, and international relations. You

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<v Speaker 2>mornings from seven to ten am Eastern from our global

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<v Speaker 2>headquarters in New York City. Subscribe to the podcast on Apple, Spotify,

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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 Apps. Let's go

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<v Speaker 2>over our new digital distribution. We do this for David Kirkpatrick,

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<v Speaker 2>who is so out front on the new digital and

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<v Speaker 2>the new digital for us as simple folks. YouTube. We're

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<v Speaker 2>committed to it. Bloomberg Podcasts, We're working on it. We

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<v Speaker 2>got radio tubes driving the bus here, but we got

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<v Speaker 2>like ten people working on it. You're going to see

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<v Speaker 2>all sorts of podcasts and this, that and the other

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<v Speaker 2>thing planned out. We're doing it in a slow method

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<v Speaker 2>agal with great support of Google. I should mentioned as

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<v Speaker 2>well Apple car Play and Android, but mostly Apple Bloomberg

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<v Speaker 2>Business app. It's free and downloaded, car plays booming, no

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<v Speaker 2>other way to put it, and it's in twenty other

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<v Speaker 2>countries as well. Twelve years ago he changed journalism in

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<v Speaker 2>Silicon Valley. Most of it was oh breathless, Oh my god,

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<v Speaker 2>we had lattes and we did this. And he wrote

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<v Speaker 2>just a real climpic, simple clear book of how in

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<v Speaker 2>a ranch house on in Silicon Valley they invented Facebook.

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<v Speaker 2>And it was just amazing. The end of the book

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<v Speaker 2>to make you cry where Zuckerberg's looking out at the

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<v Speaker 2>whole new world after all from his driveway. David Kirkpatrick

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<v Speaker 2>here on the Nvidia Effect. I am so honored.

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<v Speaker 3>I remember the day I gotta be on your show

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<v Speaker 3>more time hearing there's a photo of you and me

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<v Speaker 3>and Paul Kodrowski where you absolutely nailed the future of Facebook.

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<v Speaker 2>I think it was the day they went public, really

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<v Speaker 2>really a great moment. We're here with the Nvidia Effect.

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<v Speaker 2>If you were to write the book what is your

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<v Speaker 2>Nvidia Effect.

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<v Speaker 4>That's a great way to ask the question. Tom.

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<v Speaker 5>I was thinking about how they're really you know Facebook.

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<v Speaker 5>Of course, Meta is my longtime expertise, and here we

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<v Speaker 5>have a company that's really taking a role in the

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<v Speaker 5>industry that is not dissimilar to the role that Facebook

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<v Speaker 5>had in those days of supercharged you know, domination and growth.

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<v Speaker 5>In fact, interestingly, I think you know, just two weeks

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<v Speaker 5>ago or so, Facebook gained more in one day than

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<v Speaker 5>any company ever had when they went up one hundred

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<v Speaker 5>and ninety seven billion, which is hard to say and

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<v Speaker 5>believe they did that.

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<v Speaker 4>I suspect today in video will go up more than that.

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<v Speaker 5>So we have these records being just shattered by these companies.

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<v Speaker 5>It isn't the same. It's a chip company, but it's interesting.

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<v Speaker 5>It's also still run by its founder. It's a company

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<v Speaker 5>that has its founder has had a long term view

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<v Speaker 5>the entire time, which he is in extraordinary fashion realizing

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<v Speaker 5>after thirty years of methodical development in a way that's

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<v Speaker 5>not dissimilar from how Facebook was at the center of

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<v Speaker 5>the change in global communications as the dominant company in

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<v Speaker 5>social media, and Nvidia is now increasingly at the center

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<v Speaker 5>of global not just communications but analysis and systems management

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<v Speaker 5>and computation generally as the central company in the AI

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<v Speaker 5>revolution in terms of at least dollars I mean open Aiyes,

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<v Speaker 5>out there doing this stuff, but these are the guys

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<v Speaker 5>making the money.

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<v Speaker 6>Yeah, hey, David, you know, first of all, thank you

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<v Speaker 6>for the notes you sent us this morning, and if

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<v Speaker 6>you have not yet published them, please publish them somewhere

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<v Speaker 6>on your social media.

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<v Speaker 4>I thought those were not as good as my usual no.

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<v Speaker 6>No, this, and I'll tell you what, just because for

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<v Speaker 6>the average investor who wants to get a little perspective,

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<v Speaker 6>your simple notes here today are very very helpful. You know,

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<v Speaker 6>there are some folks out there, David that are suggesting

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<v Speaker 6>that AI could be as big or bigger than the Internet.

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<v Speaker 6>Can you help us put some perspective on that.

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<v Speaker 5>Well, it's not a crazy statement. I think we don't

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<v Speaker 5>really know how big or even.

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<v Speaker 4>What AI is.

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<v Speaker 5>It's still at such an early stage of gestation that

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<v Speaker 5>we are processing in real time. Even Jensen Wang, even

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<v Speaker 5>Sam Altman are processing in real time.

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<v Speaker 4>What this could be.

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<v Speaker 5>But there's no question that what we're seeing and I

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<v Speaker 5>was actually this is a point that I didn't put

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<v Speaker 5>in the notes. That is, you're keying up. You know

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<v Speaker 5>what happened when the Internet came along was the entire

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<v Speaker 5>industry reconfigured around this new opportunity, and we are seeing

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<v Speaker 5>something exactly like that now for a much, much, much

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<v Speaker 5>bigger industry, which is that in that sense even more impressive.

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<v Speaker 5>You know, we have that the aggregate market cap of

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<v Speaker 5>this industry is somewhere getting up close probably to ten

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<v Speaker 5>trillion dollars. Maybe it's more than that. I haven't done

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<v Speaker 5>the math, but that's the range we're talking about. You know,

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<v Speaker 5>at the time the Internet came along, the tech industry

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<v Speaker 5>in the most broad definition, might have been worth two

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<v Speaker 5>hundred and fifty billion, three hundred billion.

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<v Speaker 4>I don't know. Maybe maybe I'm a little low.

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<v Speaker 5>There, but it was not a more a trillion, and

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<v Speaker 5>so in a sense it's more important now than the

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<v Speaker 5>Internet was. If it's true that we are entering a

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<v Speaker 5>new phase of computation and social change based on computation,

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<v Speaker 5>which is I essentially think the way you need to

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<v Speaker 5>think of it, and this is it's like the Internet,

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<v Speaker 5>a social change based on computation.

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<v Speaker 4>Right, that's what we're going through again.

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<v Speaker 2>Now, what's the free lunch on this, David Kirkpatrick, I've

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<v Speaker 2>been looking at the thermodynamics of this. Everybody knows my

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<v Speaker 2>view on bitdog. I'm not a fan. I think the

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<v Speaker 2>thermodynamics of it is just bogus. But I don't believe

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<v Speaker 2>that you're AI. But I'm ignorant. I mean, we're talking

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<v Speaker 2>here about a massive infrastructure build out, a massive drag

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<v Speaker 2>on electricity. It's just too much of a free lunch.

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<v Speaker 2>David Kirkpatrick, what's the not the dark side, but what's

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<v Speaker 2>the cost of this AI boom?

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<v Speaker 4>There are so many costs.

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<v Speaker 5>But again it's something that nobody yet really fully understands.

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<v Speaker 5>I mean, it's interesting when you heard this crazy thing

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<v Speaker 5>of Altman going out supposedly trying to get seven trillion

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<v Speaker 5>invested in this arena, you know, which is a ridiculous,

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<v Speaker 5>hyperbolic effort, but it suggests the scale of the resources

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<v Speaker 5>that are going to be employed here. And yes, from

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<v Speaker 5>an electricity point, you know, one of the reasons Sam

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<v Speaker 5>Altman is the biggest investor in one of the fusion

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<v Speaker 5>startups is because Altman believes that without fusion, without nuclear

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<v Speaker 5>fusion power, we won't be able to affordably get enough

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<v Speaker 5>power for AI. That's the kind of things that people

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<v Speaker 5>in the industry are saying. So I actually think, though

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<v Speaker 5>it's a two sided coin, happily as the Internet was

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<v Speaker 5>in some ways, that we will get tons of social

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<v Speaker 5>benefit and actually cost savings and efficiencies out of the

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<v Speaker 5>application of this technology which is so expensive to run.

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<v Speaker 2>David my CEO last year, had to be Mark Zuckerberg

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<v Speaker 2>the way he reversed around from that tobacco. Paul's covered

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<v Speaker 2>this better than me. What's the next step for mister

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<v Speaker 2>Zuckerberg and the conversation.

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<v Speaker 5>Well, obviously he's pivoted fully away from the metaverse in

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<v Speaker 5>the short term. I do think, you know, one thing

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<v Speaker 5>he's right about, and you know how critical I am

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<v Speaker 5>with him. I wrote a piece in Time magazine which

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<v Speaker 5>was unbelievably negative on their twentieth birthday two weeks ago.

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<v Speaker 2>Missus arbor.

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<v Speaker 4>I called it a tragedy. But but you know, they also.

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<v Speaker 5>Understand augmented reality in the same way that Apple does.

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<v Speaker 5>And even though they're not going to have devices as

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<v Speaker 5>good as Apple's. You know what's going to be interesting

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<v Speaker 5>in this AI era is what the plat, what the

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<v Speaker 5>interface is going to be. That's one of the key

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<v Speaker 5>questions that isn't resolved. I think Facebook Meta may actually

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<v Speaker 5>be positioning itself pretty well for the interface of the

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<v Speaker 5>AI revolution as they pivoted toward augmented reality through Oculus,

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<v Speaker 5>et cetera. So it's not about the metaverse. It's about

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<v Speaker 5>some kind of verse that is AI driven, and we're

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<v Speaker 5>going to have to learn how to interact with it,

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<v Speaker 5>all of us.

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<v Speaker 2>David, it's like Kirkpatrick. He's actually aged well. Read the

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<v Speaker 2>Facebook Effect, trust me, folks, it's aged well. It's out

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<v Speaker 2>in paperback now. The hardcover is a collector's item, like

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<v Speaker 2>David Kirkpatrick. But thank you so much. We look forward

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<v Speaker 2>to the Nvidia effect. John Levin joins us. He's a

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<v Speaker 2>chartered financial analyst as well, and he writes for Bloomberg

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<v Speaker 2>Opinion and he's written for in Vidia, and he basically says,

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<v Speaker 2>America first, Thank you for joining us this morning on

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<v Speaker 2>this historic day. John, why is it American first with Nvidia?

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<v Speaker 4>Good morning Tom. Yeah.

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<v Speaker 7>So my take this morning was, you know, I hear

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<v Speaker 7>a lot of people saying the US is getting too expensive.

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<v Speaker 7>Let me take another look at Europe, you know, let

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<v Speaker 7>me take a.

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<v Speaker 4>Look at Japan.

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<v Speaker 7>And the fact of the matter is, nowadays choices about

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<v Speaker 7>geographic allocation are really kind of like choices about sector

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<v Speaker 7>in disguise, right, And what you're saying when you take

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<v Speaker 7>a look over at a lot of these markets is

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<v Speaker 7>I want to underweigh tech, right, you know, Europe you're

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<v Speaker 7>like overweighting financials and discretionary, you're overweighting industrials in Japan.

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<v Speaker 7>If that's what you're really going for, you can achieve

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<v Speaker 7>that right here at home. Right, you can achieve it

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<v Speaker 7>by going equal weight SMP five hundred, or maybe you

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<v Speaker 7>take a flyer on some of these unloved sectors here

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<v Speaker 7>here in the United States. But I don't get geographic

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<v Speaker 7>diversification for geographic diversification's sake.

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<v Speaker 6>You know, I'm just looking at your opinion piece here today, Jonathan,

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<v Speaker 6>and then just reaffirms something I learned from Tim Craighead,

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<v Speaker 6>who runs a strategy for Bloomberg Intelligence out of London.

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<v Speaker 8>I keep saying to Tim, how come the.

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<v Speaker 6>European markets, the UK markets, there's so much cheaper.

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<v Speaker 8>Than the US.

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<v Speaker 6>And he says, no, Nuts, it's because we don't really

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<v Speaker 6>have a tech sector over here. And you back out

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<v Speaker 6>the tech sector and the market's not, you know, so

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<v Speaker 6>cheap here. So for the US, I guess you get

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<v Speaker 6>what you pay for, right, Jonathan.

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<v Speaker 7>Yeah, exactly. I mean, you know, look, this isn't a

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<v Speaker 7>profound statement, but you know, the reason that the US

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<v Speaker 7>has outperformed the world for the past fifteen years is

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<v Speaker 7>because we have Silicon Valley, and because we have the

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<v Speaker 7>mag seven and so, you know, our fortunes are our

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<v Speaker 7>wagon has hitched to these folks.

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<v Speaker 4>And uh, if you.

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<v Speaker 7>Know, the sector starts starts to tumble, Uh, you know,

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<v Speaker 7>we can go down too. But in the meantime, we're enjoying, Uh,

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<v Speaker 7>we're enjoying all of the upside.

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<v Speaker 2>Right now, Paul up two hundred and fifty one down points.

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<v Speaker 2>We're quoting to Dell our surveillance. Dow Jones Industrial Average

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<v Speaker 2>correspondent Jonathan Farrell insists, but on a percentage basis, folks,

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<v Speaker 2>Dow up six tens a percent, SMB five hundred, up

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<v Speaker 2>one point two percent, with up two percent futures right

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<v Speaker 2>now the nastack here four minutes into trading up one

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<v Speaker 2>point nine percent.

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<v Speaker 6>So, Jonathan, you know, is there a concern here? I

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<v Speaker 6>mean that may mean there's too much tech in this marketplace.

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<v Speaker 6>I mean I kind of think tech has been, you know,

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<v Speaker 6>it has been, you know, the leader for these markets

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<v Speaker 6>for the last you know, fifteen twenty years, And I

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<v Speaker 6>don't necessarily think that's a bad thing.

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<v Speaker 8>Are you concerned about there's too much concentration in tech?

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<v Speaker 7>Well, I mean, I mean, look, another obvious statement is that,

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<v Speaker 7>you know tech is is very cyclical. You know, we're

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<v Speaker 7>more susceptible to a downturn or something like this. And

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<v Speaker 7>you know, let's face it, like I get, I get

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<v Speaker 7>the handwringing. There is a lot tied to, for instance,

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<v Speaker 7>a single name. Right if you just if you just

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<v Speaker 7>look at the spread of cell side expectations around around

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<v Speaker 7>na video, right, Like the most bullish call on the

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<v Speaker 7>street versus the most bearish call on the street can

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<v Speaker 7>swing the entire outcome for the index over the next

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<v Speaker 7>twelve months by something like four percentage points. You know,

0:12:55.440 --> 0:12:59.440
<v Speaker 7>that's that's big for a single a single name. So

0:12:59.480 --> 0:13:01.720
<v Speaker 7>I get it. But you know, at the end of

0:13:01.720 --> 0:13:05.080
<v Speaker 7>the day, Uh, there are other ways to manage risk

0:13:05.240 --> 0:13:07.160
<v Speaker 7>than than going abroad.

0:13:07.280 --> 0:13:09.360
<v Speaker 2>So how do you do that? If skew is so low?

0:13:09.480 --> 0:13:11.680
<v Speaker 2>It's one of the Greek letters here, folks, I'm trying

0:13:11.720 --> 0:13:13.920
<v Speaker 2>to impress it in here with a little bit of

0:13:13.960 --> 0:13:18.400
<v Speaker 2>crossbow and analysis. John, It's simple. Does a derivative strategy

0:13:18.440 --> 0:13:21.400
<v Speaker 2>work as hedging work here? Or do your risk missing

0:13:21.480 --> 0:13:24.320
<v Speaker 2>a boom.

0:13:23.200 --> 0:13:27.640
<v Speaker 7>Oh the old UH tailhage those out of the money

0:13:27.679 --> 0:13:32.680
<v Speaker 7>protective puts. I don't know, you know, that's that's uh.

0:13:32.840 --> 0:13:35.840
<v Speaker 7>I don't want to miss mischaracterize this, but.

0:13:36.559 --> 0:13:39.960
<v Speaker 2>Bloomberg surveillance we allow you to mischaracterize continue.

0:13:40.800 --> 0:13:43.200
<v Speaker 7>But you know, I mean it's sort of sort of

0:13:43.240 --> 0:13:49.240
<v Speaker 7>like the old uh Mark Spitznagel Universal Universe take, you know,

0:13:49.480 --> 0:13:55.960
<v Speaker 7>like why bother UH deworsifying into UH into the bond market.

0:13:56.000 --> 0:13:58.679
<v Speaker 7>I guess this was his take back when bonds were

0:13:58.720 --> 0:14:02.400
<v Speaker 7>paying one percent and you could you could just keep

0:14:02.480 --> 0:14:06.200
<v Speaker 7>enjoying that upside and sell yourself some some protective puts.

0:14:06.559 --> 0:14:08.160
<v Speaker 7>It's a possible, it's a possibility.

0:14:08.840 --> 0:14:11.320
<v Speaker 2>Do you rebail? Do you believe in rebail? I mean,

0:14:11.400 --> 0:14:13.600
<v Speaker 2>I mean you're on the dark side with the Bloomberg opinion,

0:14:13.679 --> 0:14:16.240
<v Speaker 2>But I mean, what do you do your rebail in video?

0:14:16.320 --> 0:14:16.440
<v Speaker 4>Here?

0:14:16.480 --> 0:14:21.680
<v Speaker 2>Your rebail Microsoft? I don't think. So what do you

0:14:21.720 --> 0:14:25.320
<v Speaker 2>mean sell it out to bring the down in a portfolio?

0:14:27.120 --> 0:14:27.400
<v Speaker 4>Yeah?

0:14:27.920 --> 0:14:31.200
<v Speaker 7>I mean yeah, so, like I said, I think an

0:14:31.240 --> 0:14:34.160
<v Speaker 7>obvious and very simple strategy here is as you just

0:14:34.160 --> 0:14:35.440
<v Speaker 7>go equal way right?

0:14:36.240 --> 0:14:38.240
<v Speaker 6>Yeah, all right, but I mean here, you know, it's

0:14:38.320 --> 0:14:41.120
<v Speaker 6>what's interesting in your opinion piece, Jonathan is that tech

0:14:41.160 --> 0:14:43.920
<v Speaker 6>stocks are expensive here in the US, but they're also

0:14:44.320 --> 0:14:47.160
<v Speaker 6>expensive in other parts of the world as well. It's

0:14:47.160 --> 0:14:49.040
<v Speaker 6>just that we have more of them. I guess there's

0:14:49.080 --> 0:14:49.960
<v Speaker 6>a way to think about it.

0:14:51.240 --> 0:14:55.280
<v Speaker 7>Yeah, one hundred percent. I mean, a very simple and

0:14:55.680 --> 0:15:00.360
<v Speaker 7>sort of illuminating exercise is, you know, just look at

0:15:00.720 --> 0:15:06.280
<v Speaker 7>is in US tech versus MSCI world x US. It's

0:15:06.280 --> 0:15:09.520
<v Speaker 7>the same, you know, Uh, it's the It's the same

0:15:09.800 --> 0:15:12.400
<v Speaker 7>exact thing. So if you think that there's a bubble

0:15:12.440 --> 0:15:14.960
<v Speaker 7>in US tech, you're going to find the same thing

0:15:15.160 --> 0:15:16.280
<v Speaker 7>everywhere else in the world.

0:15:16.480 --> 0:15:18.640
<v Speaker 2>Have you been to the fund and Blow Hotel? Recently

0:15:18.720 --> 0:15:22.080
<v Speaker 2>we're talking to Belchunis and Greidfeld. They spent like a

0:15:22.120 --> 0:15:24.760
<v Speaker 2>week at the Fontain Blow Hotel. That part of the.

0:15:25.360 --> 0:15:28.120
<v Speaker 5>John I was, I was not.

0:15:28.280 --> 0:15:30.760
<v Speaker 7>I'm not one of these fancy Bloomberg people that hang

0:15:30.840 --> 0:15:35.160
<v Speaker 7>out over in Miami Beach. I'm like a core Miami guy.

0:15:35.360 --> 0:15:38.840
<v Speaker 7>I'm on the mainland here, Tom, Jonathan.

0:15:38.160 --> 0:15:41.120
<v Speaker 2>Thank you so much, greatly appreciate it. In Miami, they're

0:15:41.160 --> 0:15:48.760
<v Speaker 2>writing for Bloomberg Opinion. I've got a really important conversation

0:15:48.920 --> 0:15:54.320
<v Speaker 2>coming up here in the Interactive Brokers Studios with Dana Telsey.

0:15:54.360 --> 0:15:58.520
<v Speaker 2>This is going to be hugely, timely, really important conversation.

0:15:58.760 --> 0:16:00.920
<v Speaker 2>Yesterday I brought this up early, but I'll bringing up again.

0:16:01.000 --> 0:16:04.720
<v Speaker 2>Tony Capiano has this pulse on what we do with

0:16:04.800 --> 0:16:08.040
<v Speaker 2>their money. He runs a small hotel shop. It's not

0:16:08.160 --> 0:16:11.760
<v Speaker 2>Motel Cease, it's Marriott, but Marriott's way more than Marriott.

0:16:11.840 --> 0:16:13.920
<v Speaker 8>Yeah, lots of brands like.

0:16:14.800 --> 0:16:16.720
<v Speaker 2>You say, what do they what do they not own?

0:16:17.240 --> 0:16:17.800
<v Speaker 2>Maybe you got a.

0:16:17.760 --> 0:16:20.640
<v Speaker 8>Clear and you were lobbying for a choice hotel suite in.

0:16:20.680 --> 0:16:22.960
<v Speaker 2>Paris for the Olympics and I got nowhere with them.

0:16:23.000 --> 0:16:24.560
<v Speaker 8>We'll see you're trying to bribe.

0:16:24.400 --> 0:16:27.240
<v Speaker 2>Them, but you know. Anyways, his insight, which goes to

0:16:27.320 --> 0:16:30.800
<v Speaker 2>Dana Telci's world at the Telsi Advisory Group, is they

0:16:30.880 --> 0:16:34.520
<v Speaker 2>misjudged luxury. And what he said is luxury is just

0:16:34.640 --> 0:16:37.480
<v Speaker 2>killing it. So let's take a given luxury stock. This

0:16:37.600 --> 0:16:41.160
<v Speaker 2>is Lewis viewton it's the r No family and there's

0:16:41.200 --> 0:16:44.280
<v Speaker 2>this gloom and Dana saying, stop it, don't give me

0:16:44.320 --> 0:16:47.440
<v Speaker 2>this china. We're all gonna die stuff. Since the middle

0:16:47.440 --> 0:16:51.440
<v Speaker 2>of January, Loose viewtont LVMH has a pop of twenty

0:16:51.480 --> 0:16:55.800
<v Speaker 2>eight percent Dana Telcea with their luxury the rest.

0:16:55.560 --> 0:16:59.080
<v Speaker 1>Of the year in retail, Hi, how are you thank

0:16:59.120 --> 0:17:00.040
<v Speaker 1>you so much for how.

0:17:01.280 --> 0:17:04.479
<v Speaker 2>Well give me? Give me LVMH and luxury and the

0:17:04.520 --> 0:17:06.119
<v Speaker 2>rest of it is that where you want to be

0:17:06.160 --> 0:17:06.720
<v Speaker 2>in retail.

0:17:07.600 --> 0:17:11.040
<v Speaker 1>I mean, I think the luxury, particularly LVMH is where

0:17:11.080 --> 0:17:13.400
<v Speaker 1>you want to be in retail. And the reason why

0:17:13.440 --> 0:17:16.000
<v Speaker 1>you want to be there in retail is because the

0:17:16.040 --> 0:17:19.679
<v Speaker 1>brands that they own, the innovation and creativity that they have.

0:17:20.200 --> 0:17:23.719
<v Speaker 1>Look at their distribution that they have, and they basically

0:17:24.000 --> 0:17:26.640
<v Speaker 1>when you think about Sephora, right all the way up

0:17:26.680 --> 0:17:29.760
<v Speaker 1>to whether it's wines and spirits or to whether it's jewelry,

0:17:30.200 --> 0:17:32.560
<v Speaker 1>they have brands that people want to own and want

0:17:32.560 --> 0:17:35.280
<v Speaker 1>to buy. And let's not forget this is also the

0:17:35.359 --> 0:17:38.359
<v Speaker 1>year of the paras Olympics, and they're a sponsor of

0:17:38.359 --> 0:17:39.480
<v Speaker 1>those paras Olympics.

0:17:39.640 --> 0:17:42.879
<v Speaker 2>I mean, I look Dana, first of all, Dana on Sophora,

0:17:43.040 --> 0:17:47.520
<v Speaker 2>can you have Sephora pay cash to teenagers to throw

0:17:47.600 --> 0:17:50.320
<v Speaker 2>out one third of the bottles in their bathroom so

0:17:50.359 --> 0:17:53.000
<v Speaker 2>that they'll buy more Sophora? I think that would be.

0:17:52.920 --> 0:17:55.720
<v Speaker 1>Only yes, only if they'd buy more at higher prices,

0:17:55.760 --> 0:17:56.360
<v Speaker 1>and there you go.

0:17:56.520 --> 0:17:58.360
<v Speaker 2>They got to do that, and they will do that.

0:17:58.440 --> 0:18:01.520
<v Speaker 2>We know that, Dana. I'm luxury here and it's critical.

0:18:01.880 --> 0:18:06.879
<v Speaker 2>Can you make money and luxury gaming the fashion designers?

0:18:06.960 --> 0:18:10.200
<v Speaker 2>I say this with a beyond fabulous The new Look

0:18:10.760 --> 0:18:13.280
<v Speaker 2>with Coco Chanel and Christian d Or have you seen

0:18:13.320 --> 0:18:15.280
<v Speaker 2>it on ample TV data? Do you love it?

0:18:15.359 --> 0:18:15.560
<v Speaker 1>Yes?

0:18:15.600 --> 0:18:15.800
<v Speaker 2>I have?

0:18:16.160 --> 0:18:18.000
<v Speaker 1>Yeah, it looks terrific.

0:18:17.840 --> 0:18:18.480
<v Speaker 4>Looks terrific.

0:18:18.560 --> 0:18:21.480
<v Speaker 2>Can you game? Can you make money and luxury based

0:18:21.520 --> 0:18:24.120
<v Speaker 2>on gaming this designer or that designer?

0:18:25.600 --> 0:18:27.679
<v Speaker 1>It's a little harder to do, I think when you

0:18:27.760 --> 0:18:30.600
<v Speaker 1>have something like it, and the reason why take a

0:18:30.640 --> 0:18:33.320
<v Speaker 1>look at Gucci. You can't bet on the designers. Look

0:18:33.359 --> 0:18:37.440
<v Speaker 1>what Caring basically doesn't have the same stable of designers

0:18:37.480 --> 0:18:41.280
<v Speaker 1>that LVMH has when you're operating seventy five brands. So

0:18:41.320 --> 0:18:44.080
<v Speaker 1>I don't necessarily think you bet on one designer or

0:18:44.119 --> 0:18:46.919
<v Speaker 1>another designer. I think it's the health of the brand,

0:18:47.240 --> 0:18:52.000
<v Speaker 1>and some brands are even more illustrious than just the

0:18:52.080 --> 0:18:54.840
<v Speaker 1>designer themselves. Look at our Mez. You don't know who

0:18:54.880 --> 0:18:58.800
<v Speaker 1>the designer is, but doesn't everyone want anything or MEZ.

0:18:58.880 --> 0:19:01.480
<v Speaker 6>Makes Dana, you know, I want to ask you about

0:19:01.480 --> 0:19:04.280
<v Speaker 6>the Chinese consumer, where we talk about luxury, that just

0:19:04.320 --> 0:19:06.320
<v Speaker 6>seems to be one of the key key variables. And

0:19:06.359 --> 0:19:09.080
<v Speaker 6>I'll walk home here to the Penn station today and

0:19:09.080 --> 0:19:11.200
<v Speaker 6>I'll walk down Fifth Avenue. I'll walk down Madison Avenue

0:19:11.200 --> 0:19:14.159
<v Speaker 6>and I'll see a ton of European tourists. I'm not

0:19:14.200 --> 0:19:16.919
<v Speaker 6>seeing many Chinese tours here, and I know how critical

0:19:16.920 --> 0:19:18.520
<v Speaker 6>they are to some of those big shops there on

0:19:18.720 --> 0:19:21.160
<v Speaker 6>Madison and Fifth. Talk to us about the Chinese consumer.

0:19:21.200 --> 0:19:22.479
<v Speaker 8>Where is he or she?

0:19:23.560 --> 0:19:26.159
<v Speaker 1>I think they're staying local. I think they're staying in China.

0:19:26.200 --> 0:19:28.240
<v Speaker 1>I don't think they're traveling as much as they had

0:19:28.240 --> 0:19:31.480
<v Speaker 1>in the past. You're absolutely right, you're not seeing them.

0:19:31.560 --> 0:19:34.440
<v Speaker 1>I am seeing a little bit more Europeans. I think

0:19:34.480 --> 0:19:38.200
<v Speaker 1>that they're spending also, whether it's on vacations or other

0:19:38.720 --> 0:19:42.960
<v Speaker 1>in going things and having experiences rather than just some

0:19:43.080 --> 0:19:45.639
<v Speaker 1>of the goods. So it's spending on local brands, it's

0:19:45.680 --> 0:19:50.560
<v Speaker 1>spending on experiences. And almost every single luxury house has

0:19:50.960 --> 0:19:54.280
<v Speaker 1>mentioned the impact of that Chinese consumer when they come

0:19:54.320 --> 0:19:58.160
<v Speaker 1>back is anyone's guests. But it is incumbent upon every

0:19:58.200 --> 0:20:02.040
<v Speaker 1>luxury brand to continue to drive the most innovation and

0:20:02.119 --> 0:20:05.520
<v Speaker 1>continue to update and enhance their stores in China in

0:20:05.600 --> 0:20:06.680
<v Speaker 1>order to remain relevant.

0:20:06.880 --> 0:20:07.360
<v Speaker 8>Interesting.

0:20:07.400 --> 0:20:09.320
<v Speaker 6>All right, let's back away from luxury get to where

0:20:09.359 --> 0:20:12.480
<v Speaker 6>I tend to traffic here with the regular folk here.

0:20:12.560 --> 0:20:14.639
<v Speaker 6>Just talk to us about the US consumer here. What

0:20:14.680 --> 0:20:17.399
<v Speaker 6>are you seeing, you know, coming out of the holiday season,

0:20:17.520 --> 0:20:19.840
<v Speaker 6>kind of plowing into spring season. What what are you

0:20:19.880 --> 0:20:21.280
<v Speaker 6>seeing from the US consumer?

0:20:22.280 --> 0:20:26.720
<v Speaker 1>I think overall you can use the words discerning, cautious, choiceful.

0:20:27.160 --> 0:20:31.080
<v Speaker 1>They're definitely whatever you want to call it. They're definitely

0:20:31.119 --> 0:20:36.119
<v Speaker 1>more careful about their spending, whether it's discretionary or essentials.

0:20:36.359 --> 0:20:40.200
<v Speaker 1>We all saw Walmart's announcement the other day and their sales,

0:20:40.440 --> 0:20:44.520
<v Speaker 1>and they reported very strong holiday results with momentum exiting

0:20:44.520 --> 0:20:47.119
<v Speaker 1>the business with you look at their US trends with

0:20:47.200 --> 0:20:49.880
<v Speaker 1>a comp of four percent, I think there's a trade

0:20:49.920 --> 0:20:52.840
<v Speaker 1>down that's happening, and you're seeing that trade down. Even

0:20:52.880 --> 0:20:55.960
<v Speaker 1>look at the off pricers, whether it's TJX, Burlington or

0:20:56.040 --> 0:20:59.840
<v Speaker 1>Ross stores. Anytime their same store sales are above three percent,

0:21:00.240 --> 0:21:02.440
<v Speaker 1>I always think they get the benefit of the trade down.

0:21:02.640 --> 0:21:04.600
<v Speaker 1>They were that way in the third quarter. When they

0:21:04.600 --> 0:21:06.880
<v Speaker 1>begin reporting next week, I think we're going to see

0:21:06.920 --> 0:21:07.240
<v Speaker 1>that again.

0:21:07.280 --> 0:21:09.600
<v Speaker 2>If you're with us on Bloomberg survants Dana Telsey, the

0:21:09.640 --> 0:21:13.280
<v Speaker 2>Telsey Advisory grew up here on YouTube Bloomberg podcasts, Thank You,

0:21:13.400 --> 0:21:16.879
<v Speaker 2>what Chat? They're having fun with that today HJJ, good morning,

0:21:17.160 --> 0:21:20.480
<v Speaker 2>and also on Apple car Play. We're out there with

0:21:20.480 --> 0:21:23.040
<v Speaker 2>the Bloomberg Business app. It's free, you sign up for

0:21:23.080 --> 0:21:25.919
<v Speaker 2>Apple CarPlay. Dana, I don't want to catch on awares here,

0:21:25.960 --> 0:21:27.760
<v Speaker 2>but you're such a trooper, I'm going to go there.

0:21:28.440 --> 0:21:32.679
<v Speaker 2>I drove by Nordstrom's the other day. This is a

0:21:32.720 --> 0:21:37.160
<v Speaker 2>ten year track record of negative seven percent per year.

0:21:38.240 --> 0:21:41.280
<v Speaker 2>What in God's name did they do with that iconic

0:21:41.440 --> 0:21:46.480
<v Speaker 2>Western brand? What does Nordstrom do to salvage itself?

0:21:47.720 --> 0:21:49.760
<v Speaker 1>I think overall one of the things that they need

0:21:49.800 --> 0:21:52.480
<v Speaker 1>to do is if you think about what Nordstrom was,

0:21:52.960 --> 0:21:57.400
<v Speaker 1>it appealed to an upper middle income consumer with very

0:21:57.400 --> 0:22:01.399
<v Speaker 1>good brands, had inventory in stock, and what was the

0:22:01.400 --> 0:22:05.239
<v Speaker 1>defining element of Nordstrom service that you can go in

0:22:05.280 --> 0:22:09.280
<v Speaker 1>there and establish relationships and that service element was there.

0:22:09.680 --> 0:22:12.560
<v Speaker 1>I think the full line stores are missing some of

0:22:12.600 --> 0:22:15.280
<v Speaker 1>that magic, and I think the focus has been on

0:22:15.320 --> 0:22:17.840
<v Speaker 1>the rack, and I think some of the brands that

0:22:17.840 --> 0:22:21.960
<v Speaker 1>they've put into their mix weren't the same as who

0:22:21.960 --> 0:22:25.120
<v Speaker 1>that upper middle income consumer is. There's work to be done.

0:22:25.200 --> 0:22:28.320
<v Speaker 1>And look at what you've seen at Bloomingdale's. Bloomingdale's has

0:22:28.320 --> 0:22:31.360
<v Speaker 1>had strength. You haven't seen the strength at Nordstrom full

0:22:31.400 --> 0:22:33.080
<v Speaker 1>line stores strength yet.

0:22:33.160 --> 0:22:37.800
<v Speaker 2>Lisa Matteo walks across the street, goes cross fifty ninth,

0:22:38.359 --> 0:22:41.919
<v Speaker 2>turn right, and there's that alli at blooming Rail's, the

0:22:41.960 --> 0:22:45.399
<v Speaker 2>bag alley. Yes, you run a gauntlet there. It's a

0:22:45.520 --> 0:22:48.919
<v Speaker 2>Telsea gauntlet you run at Bloomingdale's. You never get to

0:22:48.960 --> 0:22:51.959
<v Speaker 2>the other side without dropping two three grand data Telsey,

0:22:52.000 --> 0:22:54.480
<v Speaker 2>we're out of time. Don't be a stranger. Just love it,

0:22:54.560 --> 0:22:57.919
<v Speaker 2>Dana Telsea. There just really with Joe Feldman, really just

0:22:58.000 --> 0:23:12.119
<v Speaker 2>running terrific retail analysis. You didn't look at the front

0:23:12.119 --> 0:23:15.720
<v Speaker 2>pages around the world, Lisa start, what do we got?

0:23:15.920 --> 0:23:17.919
<v Speaker 2>I mean I thought there was a plethora of choices.

0:23:18.119 --> 0:23:20.120
<v Speaker 9>Yeah, there's a lot going on. This one I thought

0:23:20.280 --> 0:23:23.480
<v Speaker 9>was interesting for a take on companies still doing business

0:23:23.560 --> 0:23:25.760
<v Speaker 9>in Russia was from the Financial Times. They had an

0:23:25.760 --> 0:23:28.359
<v Speaker 9>interview with the CEO of Mandalis and he said that

0:23:28.400 --> 0:23:31.919
<v Speaker 9>the company's own shareholders they didn't pressure to leave Russia

0:23:32.040 --> 0:23:35.280
<v Speaker 9>after its invasion of Ukraine and its largest shareholders are

0:23:35.320 --> 0:23:39.119
<v Speaker 9>people like Vanguard, black Rock Capital, Capital Group as well.

0:23:39.840 --> 0:23:43.320
<v Speaker 9>He said companies continue to do business in Russia, including Nestley,

0:23:43.480 --> 0:23:46.400
<v Speaker 9>Unilever as well. So there's other companies doing it. Critics,

0:23:46.440 --> 0:23:48.440
<v Speaker 9>you have them out there. They're saying that the invasion,

0:23:48.600 --> 0:23:52.080
<v Speaker 9>it's funding the invasion. He said that those who left

0:23:52.160 --> 0:23:55.000
<v Speaker 9>Russia left their assets to friends of Vladimir Putin, So

0:23:55.040 --> 0:23:56.480
<v Speaker 9>you have both sides of it there.

0:23:56.800 --> 0:24:00.640
<v Speaker 2>And we're talking new sanctions off of this tragic death. Yeah, yeah,

0:24:00.800 --> 0:24:02.760
<v Speaker 2>but I don't think they've announce.

0:24:02.560 --> 0:24:04.760
<v Speaker 6>The reporting I've seen. You know, it's just the sanctions

0:24:04.880 --> 0:24:06.560
<v Speaker 6>you've had an impactment really not so much.

0:24:06.560 --> 0:24:08.359
<v Speaker 2>We're going to do a disclaimer here. Of course, as

0:24:08.400 --> 0:24:14.320
<v Speaker 2>Lisa mentions, Mandalese International, they provide us with tang really

0:24:14.960 --> 0:24:15.280
<v Speaker 2>so you.

0:24:15.240 --> 0:24:18.320
<v Speaker 8>Know, thank you, you got it.

0:24:19.119 --> 0:24:20.920
<v Speaker 9>I want to take you over to New York Times

0:24:21.000 --> 0:24:25.960
<v Speaker 9>Washington Post Big Space expedition case, Yes, Odysseus. It is

0:24:26.000 --> 0:24:29.399
<v Speaker 9>expected to touch down on the Moon today five thirty

0:24:29.400 --> 0:24:33.440
<v Speaker 9>pm Eastern. The company behind it, Intuitive Machines. They are

0:24:33.480 --> 0:24:35.919
<v Speaker 9>looking to land in a spots south of the Polar

0:24:35.960 --> 0:24:38.479
<v Speaker 9>region and if all goes well, here's the thing. It's

0:24:38.520 --> 0:24:40.760
<v Speaker 9>going to be the first US moon landing in more

0:24:40.840 --> 0:24:42.000
<v Speaker 9>than fifty years.

0:24:42.560 --> 0:24:42.959
<v Speaker 2>Thank you.

0:24:43.119 --> 0:24:44.320
<v Speaker 8>I mean, I don't know.

0:24:45.359 --> 0:24:47.800
<v Speaker 6>I love the space program. I love kind of what

0:24:47.800 --> 0:24:50.600
<v Speaker 6>we do. But haven't we been there, done that? You know,

0:24:51.840 --> 0:24:54.920
<v Speaker 6>have we already done that? It just seems odd here

0:24:55.400 --> 0:24:57.919
<v Speaker 6>read you know, the Space Shuttle program.

0:24:57.920 --> 0:24:59.119
<v Speaker 8>I'm like, now, what do we do?

0:24:59.320 --> 0:25:01.679
<v Speaker 2>I'm trying to go. Has a great essay out two

0:25:01.760 --> 0:25:04.399
<v Speaker 2>three days ago in Foreign Affairs about the state of India,

0:25:04.520 --> 0:25:07.199
<v Speaker 2>Mody and all that. I really recommended, folks as a

0:25:07.320 --> 0:25:11.280
<v Speaker 2>very quick, brilliant primer on where mister Mody is and

0:25:11.359 --> 0:25:16.720
<v Speaker 2>he mentions in there India's participation in lunar flight, lunar

0:25:16.800 --> 0:25:20.080
<v Speaker 2>landing in that, and it's about you know, I remember

0:25:20.119 --> 0:25:22.199
<v Speaker 2>as a kid that heated debates over why are we

0:25:22.280 --> 0:25:24.240
<v Speaker 2>doing this? Why it's never gone away?

0:25:24.680 --> 0:25:26.600
<v Speaker 9>Well, we were talking in the newsroom and they were saying,

0:25:26.640 --> 0:25:28.480
<v Speaker 9>gen Z doesn't believe that we landed.

0:25:28.200 --> 0:25:31.040
<v Speaker 6>On the Okay, that's a conversation you missed Tom in

0:25:31.080 --> 0:25:32.080
<v Speaker 6>the newsroom this morning.

0:25:32.600 --> 0:25:34.880
<v Speaker 8>Samantha, who was the representative of gen.

0:25:34.800 --> 0:25:37.800
<v Speaker 6>Z, one of our intrepid producers here, says a lot

0:25:37.840 --> 0:25:40.240
<v Speaker 6>of her cohorts and gen Z believed that the whole

0:25:40.240 --> 0:25:42.480
<v Speaker 6>Apollo thing scam.

0:25:43.160 --> 0:25:43.560
<v Speaker 2>I mean.

0:25:45.080 --> 0:25:46.640
<v Speaker 8>They didn't get up at three in the morning.

0:25:46.440 --> 0:25:50.000
<v Speaker 2>To watch the silent You can you rich, can you

0:25:50.040 --> 0:25:52.640
<v Speaker 2>see if we can get Tom Hanks on? He got

0:25:52.640 --> 0:25:55.760
<v Speaker 2>an effort, mister Hanks. Mister Hanks was the guy who

0:25:55.760 --> 0:25:59.400
<v Speaker 2>wrote the intro to the Metropolitan Museum of Ours fiftieth

0:25:59.400 --> 0:26:03.879
<v Speaker 2>anniversary of Landing on the Moon. If you're sitting in

0:26:03.920 --> 0:26:07.119
<v Speaker 2>the basement and your father hands you a little plastic

0:26:07.200 --> 0:26:10.200
<v Speaker 2>thing and it's got moon rock and dust in it,

0:26:10.880 --> 0:26:13.080
<v Speaker 2>you sort of go, Okay, this is a fraud. No,

0:26:13.119 --> 0:26:15.359
<v Speaker 2>I don't think so, And I should point out a

0:26:15.400 --> 0:26:19.120
<v Speaker 2>lot of people died trying to make that effort long ago.

0:26:19.560 --> 0:26:21.080
<v Speaker 2>For a we we spent way too much time in

0:26:21.119 --> 0:26:22.040
<v Speaker 2>that Quickly the.

0:26:22.080 --> 0:26:26.440
<v Speaker 9>Next newspaper exploration, this one is about working grads. They

0:26:26.440 --> 0:26:29.320
<v Speaker 9>are in jobs that don't use their degrees. A new

0:26:29.359 --> 0:26:32.359
<v Speaker 9>study says about half of them, and it's a big

0:26:32.400 --> 0:26:35.359
<v Speaker 9>problem on their earnings, their career paths, and it's really

0:26:35.359 --> 0:26:38.240
<v Speaker 9>adding some more fuel to that debate whether the value

0:26:38.240 --> 0:26:41.080
<v Speaker 9>of a college education because the rising cost of an education.

0:26:41.520 --> 0:26:43.600
<v Speaker 9>So here's what that study showed. It showed of the

0:26:43.640 --> 0:26:46.600
<v Speaker 9>graduates and non college level jobs a year after leaving,

0:26:46.920 --> 0:26:50.360
<v Speaker 9>the vast majority remained underemployed a decade later. So those

0:26:50.400 --> 0:26:54.080
<v Speaker 9>who graduated, you know with with with a job in

0:26:54.160 --> 0:26:56.959
<v Speaker 9>something that they didn't study, continue to stay in that

0:26:57.080 --> 0:27:00.240
<v Speaker 9>area for another ten years. And it says is that

0:27:00.440 --> 0:27:03.239
<v Speaker 9>usually college level jobs they earn ninety percent more than

0:27:03.280 --> 0:27:07.240
<v Speaker 9>people with just a high school diploma, but underemployed college graduates,

0:27:07.240 --> 0:27:10.520
<v Speaker 9>those who take the positions not in they earn twenty

0:27:10.520 --> 0:27:13.000
<v Speaker 9>five percent more. So you see the difference there from

0:27:13.040 --> 0:27:13.520
<v Speaker 9>ninety to two.

0:27:13.600 --> 0:27:15.639
<v Speaker 2>Ye. This is really good research. And I grew up

0:27:15.680 --> 0:27:18.320
<v Speaker 2>in a family where a lot of the jobs were

0:27:18.359 --> 0:27:21.400
<v Speaker 2>not what they studied in school. My mother was very

0:27:21.400 --> 0:27:25.280
<v Speaker 2>big on was educated at you know wherever. And the

0:27:25.400 --> 0:27:28.639
<v Speaker 2>answer is today you've got this disease of people going

0:27:28.720 --> 0:27:34.639
<v Speaker 2>into college degree programs where there's little opportunity for jobs

0:27:34.960 --> 0:27:37.680
<v Speaker 2>out there. And that's how you get that ninety to twenty.

0:27:38.280 --> 0:27:41.480
<v Speaker 8>Well, I think what I find odd having for look me.

0:27:41.440 --> 0:27:45.199
<v Speaker 2>Wait, wait, wait, wait, folks, Paul Sweeney is god, his

0:27:45.359 --> 0:27:47.520
<v Speaker 2>children are employed and continue.

0:27:47.680 --> 0:27:49.600
<v Speaker 6>But I find out his kids come into college and

0:27:50.200 --> 0:27:52.600
<v Speaker 6>the expectation is that they already have their major decided.

0:27:52.920 --> 0:27:56.000
<v Speaker 6>They don't know squad, I mean it's I didn't even

0:27:56.080 --> 0:27:58.480
<v Speaker 6>think about a major un till late in my sophomore year.

0:27:58.800 --> 0:28:00.840
<v Speaker 6>And that's when you pick your major because you don't

0:28:00.840 --> 0:28:01.320
<v Speaker 6>know any.

0:28:01.240 --> 0:28:05.040
<v Speaker 2>Joseph frescona great, great business slaw giant. We're a bow

0:28:05.080 --> 0:28:08.840
<v Speaker 2>tie small matter. I had a coarse three two beer

0:28:08.880 --> 0:28:11.480
<v Speaker 2>in my hand and he said to me, Tom, if

0:28:11.480 --> 0:28:13.919
<v Speaker 2>you don't change your major three times, you didn't go

0:28:13.960 --> 0:28:17.119
<v Speaker 2>to college. Right. I changed my major three times. I

0:28:17.160 --> 0:28:21.480
<v Speaker 2>went from hockey shavy tennis back to hockey. It was great.

0:28:22.240 --> 0:28:22.640
<v Speaker 2>What else?

0:28:23.280 --> 0:28:24.320
<v Speaker 8>This is my favorite story?

0:28:25.000 --> 0:28:28.560
<v Speaker 9>Okay, the corporate jets. Yes, the I r S is

0:28:28.640 --> 0:28:30.960
<v Speaker 9>cracking down on the personal residents.

0:28:31.119 --> 0:28:34.280
<v Speaker 6>Think about the surveillance Gulf stream, it is what are

0:28:34.280 --> 0:28:35.119
<v Speaker 6>you going to do about it?

0:28:38.320 --> 0:28:42.520
<v Speaker 9>Look, so usually you can use it to get that deductible, right,

0:28:42.560 --> 0:28:45.160
<v Speaker 9>but they say they're abusing it for the tax breaks.

0:28:45.480 --> 0:28:48.680
<v Speaker 9>So they're gonna get dozens of audits in the spring.

0:28:49.160 --> 0:28:52.280
<v Speaker 9>A lot of across different industries are starting with corporations

0:28:52.280 --> 0:28:54.160
<v Speaker 9>and they could shift to individual audits.

0:28:55.200 --> 0:28:55.920
<v Speaker 1>Yes, could.

0:28:57.320 --> 0:28:59.680
<v Speaker 2>You know? I mean Pharaoh, I mean he's hit every

0:28:59.760 --> 0:29:02.440
<v Speaker 2>day island off the coast of Italy, yep. With the

0:29:02.480 --> 0:29:04.400
<v Speaker 2>Gulf Stream. He goes into Naples, I think is where

0:29:04.440 --> 0:29:07.320
<v Speaker 2>he courts player take the boat around from.

0:29:07.160 --> 0:29:08.120
<v Speaker 8>There, but I'll drive.

0:29:08.360 --> 0:29:12.200
<v Speaker 2>I mean a lot of people, I mean these fancy people, seriously,

0:29:12.240 --> 0:29:13.400
<v Speaker 2>they live on these planes.

0:29:13.520 --> 0:29:16.520
<v Speaker 6>Yeah, well, I mean you couldn't leaving the super Bowl

0:29:16.520 --> 0:29:18.480
<v Speaker 6>in Vegas. A lot of people couldn't go to the

0:29:18.480 --> 0:29:20.520
<v Speaker 6>next day because they couldn't get a slot to leave

0:29:20.560 --> 0:29:21.160
<v Speaker 6>on Sunday.

0:29:21.360 --> 0:29:24.200
<v Speaker 2>But they liked Paul and May off the Mark. They

0:29:24.280 --> 0:29:26.080
<v Speaker 2>literally live Sean.

0:29:26.280 --> 0:29:29.240
<v Speaker 6>And I know I know a couple of buddies of mine.

0:29:29.800 --> 0:29:31.960
<v Speaker 6>They sold their company for a lot of money and

0:29:32.000 --> 0:29:34.760
<v Speaker 6>they put a big chunk of that aside to fund

0:29:34.920 --> 0:29:37.240
<v Speaker 6>their private aircraft use for the rest of their life.

0:29:37.320 --> 0:29:39.480
<v Speaker 8>They said, if we lost everything else, that'd be fine.

0:29:39.640 --> 0:29:41.040
<v Speaker 8>We cannot lose our corporate aircraft.

0:29:41.080 --> 0:29:43.600
<v Speaker 2>I moved somebody into film from Economy of the Business

0:29:43.640 --> 0:29:46.600
<v Speaker 2>Class today because it's a pretty good day and I

0:29:46.640 --> 0:29:48.640
<v Speaker 2>didn't ask what it was going to cost. This is

0:29:48.640 --> 0:29:53.720
<v Speaker 2>a Bloomberg Surveillance podcast, bringing you the best in economics, finance, investment,

0:29:53.920 --> 0:29:57.520
<v Speaker 2>and international relations. You can also watch the show live

0:29:57.760 --> 0:30:02.080
<v Speaker 2>on YouTube. Visit the Bloomberg Podcast channel on YouTube to

0:30:02.200 --> 0:30:05.600
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0:30:05.640 --> 0:30:09.680
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0:30:09.680 --> 0:30:13.440
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0:30:13.760 --> 0:30:17.400
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0:30:17.440 --> 0:30:18.960
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