WEBVTT - AI's 'Big Bang' Moment

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<v Speaker 1>Hello, and welcome to What Goes Up, a weekly markets podcast.

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<v Speaker 1>My name is Mike Eagan. I'm a senior editor at Bloomberg.

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<v Speaker 2>And numbldna hire a market support at Bloomberg.

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<v Speaker 1>And this week on the show, you probably heard about this,

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<v Speaker 1>but the Federal Reserve signal this week that even though

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<v Speaker 1>they paused this month, central bankers are expecting to lift

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<v Speaker 1>interest rates again this year. Yet the stock market took

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<v Speaker 1>it all in stride and is continuing its riproaring twenty

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<v Speaker 1>twenty three rally that's been largely driven by hype around

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<v Speaker 1>artificial intelligence. So what are we to think about a

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<v Speaker 1>week like this? Is the equity market right to fight

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<v Speaker 1>the Fed this time given all of the optimism around AI,

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<v Speaker 1>or is it time to sober up and get with

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<v Speaker 1>the feds program. We're going to get into it with

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<v Speaker 1>a fund manager who manages a global equity fund. But first, Voldana,

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<v Speaker 1>I'm very excited for our Craziest Things segment because.

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<v Speaker 2>Can I give a hand in giving a spoiler?

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<v Speaker 1>All right, that joke's not going to make sense till

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<v Speaker 1>later in the podcast, but I will confirm it's a good.

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<v Speaker 2>Joke and listeners, Yeah, I'm really sticking my neck out.

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<v Speaker 1>Here also a very off color joke, but.

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<v Speaker 2>Yeah, it's actually really terrible. You know, our guest, he's

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<v Speaker 2>joining us for the first time ever, and he probably

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<v Speaker 2>thinks we're just two big weirdos.

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<v Speaker 1>Which is true.

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<v Speaker 2>Yeah, it's true, but I really don't want to keep

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<v Speaker 2>him waiting. It's Mark Barribow. He's the head of Global

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<v Speaker 2>Equity at Jennison Associates, which is the fundamental equity business

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<v Speaker 2>of p Jim. Mark, thank you so much for joining us.

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<v Speaker 3>It's great to be here.

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<v Speaker 2>I promise our little intro will make a little more

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<v Speaker 2>sense later, but maybe just to start out, you can

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<v Speaker 2>tell us about your at Jennison and what you do there.

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<v Speaker 3>I'm the head of Global Equities at Jennison, so we

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<v Speaker 3>managed global equity portfolios, international equity portfolios, and emerging market portfolios,

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<v Speaker 3>both small, MidCap and large caps, so that whole spectrum

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<v Speaker 3>and our specialty at Jennison is growth equities, and all

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<v Speaker 3>of our global products are growth oriented.

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<v Speaker 1>So Mark, did what we heard from Jrome Pow this

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<v Speaker 1>week change your thinking at all about what took spect

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<v Speaker 1>for the rest of the.

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<v Speaker 3>Year, Not at all. The big hit the equity markets

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<v Speaker 3>took last year was in response to the change in

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<v Speaker 3>Fed policy. We got the big rate increases, unprecedented really

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<v Speaker 3>for any rate cycle in the post war era, and

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<v Speaker 3>that speed led to valuation declines across the board last year,

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<v Speaker 3>but particularly growth stocks, which dropped relative to value stocks

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<v Speaker 3>to their lowest level since the crisis eight. So the

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<v Speaker 3>setup coming into the year is pretty good on a

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<v Speaker 3>value from evaluation perspective. And now the markets are just

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<v Speaker 3>reacting to earnings news and normal fundamental things, and that's

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<v Speaker 3>why I think it's looking pretty constructive.

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<v Speaker 2>Mark how difficult is it for the Fed to get

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<v Speaker 2>its messaging right going forward? Like they didn't hike this time,

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<v Speaker 2>but then they came out saying we do want to

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<v Speaker 2>continue potentially hiking further later on this year. They see

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<v Speaker 2>growth actually being better than they had anticipated prior to

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<v Speaker 2>yesterday's meeting. It's such a like, how difficult is it

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<v Speaker 2>going to be for them to actually message this to

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<v Speaker 2>the market and investors.

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<v Speaker 3>They overshot on the downside, they're probably going to oversheet

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<v Speaker 3>on the upside. That's typically what the Fed does. Let's

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<v Speaker 3>say eighty to ninety percent of it's behind us, So

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<v Speaker 3>I think that's why the markets are moving on.

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<v Speaker 1>You, Mark, As I mentioned in the introduction, artificial intelligence,

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<v Speaker 1>following the release of the latest versions of chat Cheap

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<v Speaker 1>is really captivated investors' attention. But I do think what's fascinating.

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<v Speaker 1>There's a lot of hype, but there does seem to

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<v Speaker 1>be some fundamentals attached to the theme, almost immediately when

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<v Speaker 1>you look at the outlook from a company like Nvidia.

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<v Speaker 1>I know, one of the top holdings in your Global

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<v Speaker 1>Opportunities fund Oracle last week saying their cloud revenue is

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<v Speaker 1>really getting juiced by AI as well. Yeah, I'm sort

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<v Speaker 1>of reminded of that old cliche that in the gold Rush,

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<v Speaker 1>most people that got rich were the merchants selling the

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<v Speaker 1>picks and shovels. And to me, I feel like you know,

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<v Speaker 1>in this gold rush, it's the chip makers, the cloud

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<v Speaker 1>companies that are the picks and shovel merchants of this.

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<v Speaker 1>I'm just curious, though, with that all said, how you're

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<v Speaker 1>thinking about AI as far as separating the hype from

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<v Speaker 1>where the true prospects are the potential for fundamental improvement

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<v Speaker 1>for various companies and various sectors.

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<v Speaker 3>Sure, I mean, well, at first I would absolutely agree

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<v Speaker 3>with you that the infrastructure layer that allows for this

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<v Speaker 3>accelerated computing to go on is the way to play

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<v Speaker 3>AI right now, because we're in the R and D phase.

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<v Speaker 3>The applications are just getting developed, and it is going

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<v Speaker 3>to be a tectonic shift in technology for the next decade.

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<v Speaker 3>It's the biggest thing to happen since the mobile Internet,

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<v Speaker 3>and so we're very excited about it. But again, the

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<v Speaker 3>best way to play it is through the infrastructure required

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<v Speaker 3>to do this computing. So that starts with high end semiconductors,

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<v Speaker 3>it starts with cloud based computing workloads, and I think

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<v Speaker 3>investors will do quite well in that. And then as

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<v Speaker 3>we move forward, you're going to see more and more

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<v Speaker 3>software applications embed this technology that's already starting, but it's

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<v Speaker 3>going to accelerate over the next year. This isn't a

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<v Speaker 3>long term thing. You're not going to have to wait

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<v Speaker 3>three to five years to see what happens. It's going

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<v Speaker 3>to start to come into every application that's important for

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<v Speaker 3>productivity purposes in the next four quarters, and then we'll

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<v Speaker 3>start to see separation like who's got the winning formula,

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<v Speaker 3>who's developing unique applications that we couldn't even dream of.

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<v Speaker 3>Maybe old companies that maybe new companies, we don't know.

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<v Speaker 3>But what's important, this is a real advancement in technology.

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<v Speaker 3>It's going to be utilized aggressively, and so I think

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<v Speaker 3>investors should definitely try to position for it.

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<v Speaker 1>Yeah, and Mark, the other narrative of the year that

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<v Speaker 1>sort of has gone hand in hand with AI is

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<v Speaker 1>what I refer to the top heaviness of the rally

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<v Speaker 1>that we've seen this year. The big megacap tech stocks

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<v Speaker 1>are really dominating the gains. And I'm curious how you

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<v Speaker 1>approach that as a fund manager. You know, as I mentioned,

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<v Speaker 1>Nvidia's one of your top holdings, do you have any

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<v Speaker 1>limits on sort of how big of an allocation you

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<v Speaker 1>can give to one stock? Does it worry you at all?

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<v Speaker 1>This top heaviness? How do you think about that when

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<v Speaker 1>you're managing a fund like this?

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<v Speaker 3>First, I would say, if you own these stocks in

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<v Speaker 3>your portfolio, you're really happy. Yeah, So I have no

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<v Speaker 3>complaints about the concentration of the market. So there's a

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<v Speaker 3>couple of reasons behind it. One, we started the year

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<v Speaker 3>at very low valuations because of what happened last year. Secondly,

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<v Speaker 3>these companies are generating among the highest levels of free

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<v Speaker 3>cash flow you can find in the global stock market,

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<v Speaker 3>and that's one of the reasons investors are flocking to them.

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<v Speaker 3>It's because you don't have to take a lot of

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<v Speaker 3>risk to participate in a market rally. And investors still

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<v Speaker 3>are a little wary about what's happening out there because

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<v Speaker 3>the FED is tightened so much. So I'm not saying

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<v Speaker 3>there's a flight to safety, but there's a flight to quality,

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<v Speaker 3>and so they're benefiting from that. And then of course

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<v Speaker 3>the AI boom has ignited a catalyst for future growth,

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<v Speaker 3>and that catalyst really wasn't here a year ago. We

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<v Speaker 3>didn't know where the next wave of investment spending would occur,

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<v Speaker 3>and now we know, and so that clarity is leading

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<v Speaker 3>the true companies that benefit from it to lead the market.

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<v Speaker 3>And then other things are participating. And so what I

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<v Speaker 3>would say right now is as we go into earning

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<v Speaker 3>season the summer and go into the fall, you've got

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<v Speaker 3>to be careful because you don't want to be exposed

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<v Speaker 3>in stocks that participated in the rally but in reality

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<v Speaker 3>have nothing new to offer the marketplace, because those are probably.

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<v Speaker 2>Correct and mark broadly speaking, what is the base case

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<v Speaker 2>on AI for the average investor, for instance, So why

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<v Speaker 2>might somebody be buying stocks right now based on the

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<v Speaker 2>AI thme. Is it the idea that these companies have

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<v Speaker 2>so much cash and they, as you said, maybe will

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<v Speaker 2>be putting some of it towards research and development, et cetera.

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<v Speaker 3>Well, you want to be in the ones that one

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<v Speaker 3>are positioned in. The infrastructure build out in Video is

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<v Speaker 3>an easy example.

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<v Speaker 1>We refer to.

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<v Speaker 3>Their earnings release on May twenty fourth is the big

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<v Speaker 3>bang because in my history of doing growth equities since

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<v Speaker 3>the nineties, I've never seen a company raised guidance for

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<v Speaker 3>a quarter by four billion dollars. That's unprecedented. So their

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<v Speaker 3>data center revenue is effectively going to double quarter over

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<v Speaker 3>quarter from four billion to eight billion. And again these

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<v Speaker 3>are numbers that are staggering. So in Video's valuation, ironically,

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<v Speaker 3>it has been declining the last month, not going up,

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<v Speaker 3>even though the stock is because the power of that

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<v Speaker 3>earnings revision is so huge. With fundamental strength there, it

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<v Speaker 3>gives investors more confidence that you're not buying into hype,

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<v Speaker 3>you're actually buying into real demand strength, and that's very good.

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<v Speaker 3>Other beneficiaries, of course, are Microsoft because of their asure

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<v Speaker 3>cloud and their big investment and chat GPT, and of

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<v Speaker 3>course you have Google Cloud, and Google of course has

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<v Speaker 3>deep learning. It's also an AI expert, and Amazon's aws

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<v Speaker 3>will probably benefit as well. So you have different ways

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<v Speaker 3>where you're going to see positive revenue and earnings revisions

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<v Speaker 3>hopefully as the year goes on. From that pure investment spending.

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<v Speaker 3>I think that's why the stocks are doing well, and

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<v Speaker 3>you don't have to get ahead over your skis yet

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<v Speaker 3>thinking about what are the new applications that are going

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<v Speaker 3>to come out that are very exciting I can't miss.

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<v Speaker 3>You don't have to worry about that yet. That'll develop

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<v Speaker 3>over the next year mark.

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<v Speaker 1>Earlier in the year and late last year, it felt

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<v Speaker 1>like the consensus really believe that a recession was inevitable.

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<v Speaker 1>Now's the year goes on, I think it's much more

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<v Speaker 1>debatable whether this proverbial soft landing can actually perhaps maybe

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<v Speaker 1>be achieved. But I'm wondering how much of that plays

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<v Speaker 1>into the outlook for growth stocks. If we do see

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<v Speaker 1>a deterioration in the data, rise in joblessness, lower GDP,

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<v Speaker 1>or even negative GDP, how big of a risk is

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<v Speaker 1>that to this whole AI theme and the capital spending

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<v Speaker 1>that goes along with it, that is propelling it.

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<v Speaker 3>Okay, First, on the recession outlook. I mean, the recession

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<v Speaker 3>has been pre announced four or five times every quarter.

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<v Speaker 3>Here maybe it happens. But we had a big downturn

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<v Speaker 3>in home construction last year. We had a big downturn

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<v Speaker 3>in Silicon Valley last year, big layoffs as you know.

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<v Speaker 3>So you've had these rolling recessions and different segments of

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<v Speaker 3>the marketplace over the last year and so far this year.

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<v Speaker 3>I don't know what if we created one point seven

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<v Speaker 3>million new job that's not a recession. It's steady state,

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<v Speaker 3>slow growth, so fueled by a powerful job market. So

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<v Speaker 3>we probably do get a soft landing. I think that's

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<v Speaker 3>what the market is coming around to believe in. Now,

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<v Speaker 3>what does it mean for growth stocks. It's really bullish

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<v Speaker 3>for growth if you go into a soft landing, because

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<v Speaker 3>the average company is seeing a slowdown in its earnings,

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<v Speaker 3>whereas growth companies will be putting up hopefully on average,

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<v Speaker 3>double digit earnings growth. And that's quite a differentiator in

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<v Speaker 3>a slowing, uncertain market environment. And that's indeed what we're

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<v Speaker 3>seeing in our portfolios. We looked at this data the

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<v Speaker 3>other day because we've just gone through a big earning

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<v Speaker 3>season and for the first quarter, that weighted average growth

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<v Speaker 3>in the portfolio was around fifteen percent. For the S

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<v Speaker 3>and P five hundred, it's three point two. You're finally

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<v Speaker 3>getting rewarded for that growth again once that big reevaluation

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<v Speaker 3>reset occurred last year.

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<v Speaker 2>So your funds obviously are doing well this year. But

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<v Speaker 2>at the same time, you said today's markets are among

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<v Speaker 2>the most challenging we have seen in several decades. There's

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<v Speaker 2>a lack of visibility, contradictory indicators. Can you talk about that.

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<v Speaker 3>Yeah, it all starts with the pandemic, right, So we

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<v Speaker 3>had the V shaped recovery during the pandemic. It shocked

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<v Speaker 3>the global economy. The growth companies did very well during

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<v Speaker 3>the pandemic because they were supplying everything from streaming entertainment

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<v Speaker 3>to laptops needed to work remotely. Digital transformation of companies

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<v Speaker 3>as they accelerated their cloud deployments to make everything work.

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<v Speaker 3>And so we had a big demand surge and then

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<v Speaker 3>the hangover post pandemic as you adjusted to more normal

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<v Speaker 3>rates of spending growth and for the whole economy, of course,

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<v Speaker 3>we had this apply chain problem which led to the

0:14:02.200 --> 0:14:06.960
<v Speaker 3>inflation and that's eason. Now as supplies come into the market,

0:14:07.160 --> 0:14:10.480
<v Speaker 3>you're no longer constrained on any number of products, right,

0:14:11.120 --> 0:14:15.280
<v Speaker 3>and goods inflation has turned negative, services inflation still positive.

0:14:16.320 --> 0:14:20.200
<v Speaker 3>That's a very complicated environment with the FED being as

0:14:20.240 --> 0:14:23.840
<v Speaker 3>aggressive as they are, because the Yell curve would suggest

0:14:23.920 --> 0:14:26.800
<v Speaker 3>we go we might have a recession, but of course

0:14:26.840 --> 0:14:29.720
<v Speaker 3>the Yell curve predicts lots of recessions that never happen,

0:14:30.720 --> 0:14:35.600
<v Speaker 3>so that's not a certainty. And then you have different

0:14:35.640 --> 0:14:40.160
<v Speaker 3>economies around the world doing different things, which is actually beneficial.

0:14:40.480 --> 0:14:43.320
<v Speaker 3>So the US might be slowing, whereas China's coming out

0:14:43.360 --> 0:14:47.200
<v Speaker 3>of the pandemic finally, so that's a good offset to

0:14:47.360 --> 0:14:50.800
<v Speaker 3>might slow down here. Europe seems to be doing okay

0:14:50.840 --> 0:14:54.840
<v Speaker 3>for Europe, not a problem. There's a lot of cross

0:14:54.880 --> 0:14:59.320
<v Speaker 3>currents that are very challenging. Now, getting back to one

0:14:59.360 --> 0:15:03.280
<v Speaker 3>of the other point that was raised earlier questions the

0:15:03.320 --> 0:15:06.360
<v Speaker 3>other thing that's likely to happen we think in the

0:15:06.400 --> 0:15:10.280
<v Speaker 3>next couple of years is a lot of good support

0:15:10.600 --> 0:15:14.600
<v Speaker 3>for a number of US investment areas. And the reason

0:15:14.760 --> 0:15:20.680
<v Speaker 3>is we have this unprecedented combination of public industrial policy,

0:15:20.800 --> 0:15:24.680
<v Speaker 3>which we've never had before. So we have the US

0:15:24.800 --> 0:15:27.920
<v Speaker 3>Chips Act, which is going to lead to the onshing

0:15:28.000 --> 0:15:32.920
<v Speaker 3>of semiconductor manufacturing in the United States. That's tens and

0:15:32.960 --> 0:15:36.280
<v Speaker 3>tens of billions of dollars of capex that will occur

0:15:36.400 --> 0:15:41.440
<v Speaker 3>here on top of the Inflation Reduction Act, which is

0:15:41.600 --> 0:15:46.240
<v Speaker 3>again leading to multi billion dollar build out of electric

0:15:46.360 --> 0:15:52.000
<v Speaker 3>vehicle and battery manufacturing as well as alternative energy systems.

0:15:52.640 --> 0:15:59.000
<v Speaker 3>So we have tremendous structural support in certain areas of

0:15:59.040 --> 0:16:02.160
<v Speaker 3>capital spending wich we've typically not had in the US,

0:16:03.080 --> 0:16:06.880
<v Speaker 3>which is structural and secular and has years to run,

0:16:06.920 --> 0:16:09.120
<v Speaker 3>and we're in the early innings of it, so that's

0:16:09.160 --> 0:16:13.680
<v Speaker 3>also very exciting. These are very positive trends that are occurring,

0:16:14.240 --> 0:16:18.359
<v Speaker 3>maybe as the overall economy slows, but if you're invested

0:16:18.400 --> 0:16:22.440
<v Speaker 3>in those segments of the economy, you're actually seeing strength.

0:16:23.040 --> 0:16:27.240
<v Speaker 3>It's really important from a stock selection perspective to weed

0:16:27.320 --> 0:16:30.600
<v Speaker 3>through those all of the different parts of the market

0:16:30.840 --> 0:16:34.520
<v Speaker 3>and just focus on those that have really good secular

0:16:34.560 --> 0:16:36.840
<v Speaker 3>demand strength, because I think that's going to work.

0:16:37.320 --> 0:16:39.680
<v Speaker 1>You know, Mark, there was a chart I must have

0:16:39.760 --> 0:16:43.600
<v Speaker 1>seen about a thousand times this year that basically showed

0:16:44.280 --> 0:16:49.800
<v Speaker 1>the Nasdaq one hundred and the inverse of some treasure yield,

0:16:49.800 --> 0:16:51.920
<v Speaker 1>whether it's the ten year yield or the real yield,

0:16:52.480 --> 0:16:54.800
<v Speaker 1>and the thinking being that a lot of people thought

0:16:54.840 --> 0:16:57.960
<v Speaker 1>there was this negative correlation. As interest rates go up,

0:16:58.360 --> 0:17:01.840
<v Speaker 1>growth stocks should suffer for her. That's obviously if that

0:17:01.880 --> 0:17:05.880
<v Speaker 1>correlation existed, it's been demolished in the past month or two.

0:17:06.000 --> 0:17:09.160
<v Speaker 1>I think there's many cliff Astness and others who would

0:17:09.200 --> 0:17:11.920
<v Speaker 1>argue that that was a bogus correlation to begin with,

0:17:12.000 --> 0:17:15.320
<v Speaker 1>that we're being fooled by a simple overlay chart like that.

0:17:15.840 --> 0:17:18.760
<v Speaker 1>I'm just curious how you're thinking about that relationship between

0:17:18.880 --> 0:17:22.600
<v Speaker 1>interest rates and growth. Is it a valid headwind to

0:17:22.760 --> 0:17:26.240
<v Speaker 1>growth stocks as an asset class? And I know you

0:17:26.359 --> 0:17:28.840
<v Speaker 1>like to focus on the quality with the strong balance

0:17:28.880 --> 0:17:31.320
<v Speaker 1>sheets and the strong cash flow. If you're thinking of

0:17:31.359 --> 0:17:35.159
<v Speaker 1>growth as a factor on its own, does interest rates

0:17:35.320 --> 0:17:36.560
<v Speaker 1>worry you at all about it?

0:17:37.160 --> 0:17:41.359
<v Speaker 3>Historically the correlation wasn't there, but it was there with

0:17:41.440 --> 0:17:43.400
<v Speaker 3>a bullet in twenty twenty two.

0:17:43.600 --> 0:17:44.440
<v Speaker 1>Yeah, as you.

0:17:44.400 --> 0:17:47.600
<v Speaker 3>Said, it's broken down this year, so it's not working anymore.

0:17:48.359 --> 0:17:52.679
<v Speaker 3>I think the only important part about that correlation is

0:17:52.840 --> 0:17:56.840
<v Speaker 3>just the step function change. So if you do go

0:17:57.000 --> 0:18:00.520
<v Speaker 3>from an interest rate environment that's been there for a

0:18:00.560 --> 0:18:04.960
<v Speaker 3>long time and then you jump rates up several hundred

0:18:05.000 --> 0:18:10.399
<v Speaker 3>basis points pretty quickly. That's a lot to ask for

0:18:10.720 --> 0:18:14.199
<v Speaker 3>from evaluation perspective. You are going to get compression, and

0:18:14.240 --> 0:18:18.840
<v Speaker 3>we did get that. But once that happens, it's over. Now.

0:18:18.880 --> 0:18:21.200
<v Speaker 3>It's just the way we look at it. It's made

0:18:21.240 --> 0:18:25.080
<v Speaker 3>the best company win, right because you reset valuation across

0:18:25.080 --> 0:18:28.600
<v Speaker 3>the system globally, and now we'll see who has the

0:18:28.640 --> 0:18:31.200
<v Speaker 3>best growth and earnings growth, and that stock's going to win.

0:18:31.760 --> 0:18:32.399
<v Speaker 3>That's our you.

0:18:33.880 --> 0:18:35.399
<v Speaker 2>I need to give a shout out to our colleague

0:18:35.520 --> 0:18:38.679
<v Speaker 2>Katie Greifeld, who sometimes fills in as co host on

0:18:38.720 --> 0:18:41.760
<v Speaker 2>this show, for thinking of the next question. But I

0:18:41.760 --> 0:18:43.920
<v Speaker 2>want to pose it to you as well. I'm wondering

0:18:44.000 --> 0:18:46.920
<v Speaker 2>what you think of the two areas of the market

0:18:46.920 --> 0:18:50.680
<v Speaker 2>that are super hot right now, being totally polar opposite.

0:18:51.040 --> 0:18:54.119
<v Speaker 2>One is AI and the other is money market funds,

0:18:54.119 --> 0:18:56.120
<v Speaker 2>which are still seeing tons of cash coming in.

0:18:58.240 --> 0:19:01.520
<v Speaker 3>Yeah. I mean, if you can get at four percent

0:19:01.640 --> 0:19:04.720
<v Speaker 3>or five percent yield and then the taxi jumpt ones

0:19:05.240 --> 0:19:08.560
<v Speaker 3>even better on a tack s adjusted basis, that's stiff

0:19:08.600 --> 0:19:12.800
<v Speaker 3>competition for stocks. So I think it's really hard for

0:19:12.880 --> 0:19:17.240
<v Speaker 3>the average stock to compete against that, for sure. But

0:19:17.480 --> 0:19:20.520
<v Speaker 3>one of the reasons AI related names are doing so

0:19:20.640 --> 0:19:24.000
<v Speaker 3>well is they do offer good competition because they have

0:19:24.400 --> 0:19:29.040
<v Speaker 3>the prospects for perhaps very strong growth going forward and

0:19:29.840 --> 0:19:35.159
<v Speaker 3>very strong current demand. So that looks relatively safe. So

0:19:36.080 --> 0:19:38.400
<v Speaker 3>that's how I would explain that. And then you're right,

0:19:38.440 --> 0:19:40.640
<v Speaker 3>you have that deep void in the middle that's not

0:19:40.680 --> 0:19:41.680
<v Speaker 3>really doing anything.

0:19:42.040 --> 0:19:44.000
<v Speaker 1>Yeah, well, it kind of goes to what you said

0:19:44.040 --> 0:19:48.040
<v Speaker 1>earlier about it really being you know, when you look

0:19:48.080 --> 0:19:50.920
<v Speaker 1>at a market that NASDAQ one hundreds up what thirty

0:19:50.920 --> 0:19:53.560
<v Speaker 1>percent this year, you think, yeah, you think, oh, it's

0:19:53.560 --> 0:19:56.720
<v Speaker 1>this speculative frenzy, but it really is a chase for

0:19:56.800 --> 0:19:58.879
<v Speaker 1>quality and maybe safety on the other end of the

0:19:58.920 --> 0:20:02.200
<v Speaker 1>barbell with the money mark funds. But I've got to

0:20:02.240 --> 0:20:05.159
<v Speaker 1>confess this is one of those nightmare scenarios for me

0:20:05.400 --> 0:20:08.120
<v Speaker 1>when I have to pronounce the name of a company

0:20:08.160 --> 0:20:11.560
<v Speaker 1>that I'm not sure how to produce in the video.

0:20:11.800 --> 0:20:14.400
<v Speaker 1>In video, I can say in video, this is one

0:20:14.400 --> 0:20:17.399
<v Speaker 1>of those companies I've read. I've read the name a

0:20:17.440 --> 0:20:20.160
<v Speaker 1>million times is, and I'm not sure I've ever said

0:20:20.160 --> 0:20:24.399
<v Speaker 1>it out loud. I'm going to say Hermes Ermez is

0:20:24.400 --> 0:20:25.800
<v Speaker 1>that how you say, Mark.

0:20:25.600 --> 0:20:28.080
<v Speaker 2>Is she right about easier than the video?

0:20:28.440 --> 0:20:33.960
<v Speaker 1>I'm gonna you say Hermie, you say Sayers International, Yeah,

0:20:34.680 --> 0:20:41.920
<v Speaker 1>I purely in French. It's whereas we say in Philly Ermes.

0:20:45.480 --> 0:20:48.679
<v Speaker 1>I did want to ask you about Ermez and another

0:20:48.800 --> 0:20:51.800
<v Speaker 1>top holding of the fund, lv m H two sort

0:20:51.840 --> 0:20:56.679
<v Speaker 1>of luxury good famous luxury European luxury good goods providers.

0:20:56.760 --> 0:21:00.840
<v Speaker 1>I mean there's two fcs surrounding companies like this that

0:21:00.880 --> 0:21:03.399
<v Speaker 1>I've heard this year. One is the China reopening will

0:21:03.480 --> 0:21:06.000
<v Speaker 1>unlock a lot of demand from China. The other is

0:21:06.720 --> 0:21:12.560
<v Speaker 1>high end consumers like Vildana over there are so many

0:21:13.000 --> 0:21:15.600
<v Speaker 1>they are immunes to inflation. They'll keep spending. They're not

0:21:15.640 --> 0:21:21.639
<v Speaker 1>pinching pennies because cpis Ferrari another one, another one. You know,

0:21:21.640 --> 0:21:26.639
<v Speaker 1>I'm curious your rationale for having these Ferrari, LVMH, Air Miz.

0:21:26.800 --> 0:21:29.800
<v Speaker 1>What's the rationale with having a heavyweighting in these guys.

0:21:30.080 --> 0:21:33.960
<v Speaker 3>Sure, it's very interesting because side by side with Nvidia

0:21:34.160 --> 0:21:37.919
<v Speaker 3>and Microsoft and Apple and Broadcom, we have LVMH and

0:21:38.680 --> 0:21:44.440
<v Speaker 3>Airs and Ferrari. So what makes them appealing? First? Their

0:21:44.480 --> 0:21:48.120
<v Speaker 3>business models, they're direct to consumer models. In other words,

0:21:48.119 --> 0:21:52.320
<v Speaker 3>you can only buy their product from their stores or

0:21:52.359 --> 0:21:57.280
<v Speaker 3>their website, So Louis Bhutan or air Man or Ferrari,

0:21:57.880 --> 0:22:01.160
<v Speaker 3>and you can't get access all their products. They'll sell

0:22:01.160 --> 0:22:04.960
<v Speaker 3>out very quickly because they ration their most popular products

0:22:05.000 --> 0:22:10.600
<v Speaker 3>to maintain exclusivity and protect pricing and margins, and they

0:22:10.600 --> 0:22:14.440
<v Speaker 3>control the distribution so they don't get into inventory problems.

0:22:14.600 --> 0:22:20.760
<v Speaker 3>They have pricing power and direct to consumer brand models

0:22:20.920 --> 0:22:23.840
<v Speaker 3>are the best in the world and they just happen

0:22:23.920 --> 0:22:27.560
<v Speaker 3>to have developed them over time. And so what you've

0:22:27.600 --> 0:22:31.119
<v Speaker 3>seen is the return on invested capital for these companies

0:22:31.600 --> 0:22:36.119
<v Speaker 3>has been rising quite significantly over the last decade, particularly

0:22:36.119 --> 0:22:41.480
<v Speaker 3>compared to say European market average, and that's because of

0:22:41.520 --> 0:22:45.760
<v Speaker 3>the business model superiority. Then you get to the economics

0:22:45.760 --> 0:22:49.159
<v Speaker 3>of their customer and yes, it's true higher and consumers

0:22:49.200 --> 0:22:54.200
<v Speaker 3>are less exposed to inflation problems and pinched paychecks and

0:22:54.240 --> 0:22:58.280
<v Speaker 3>all of that, but the majority of the customers for

0:22:58.400 --> 0:23:03.240
<v Speaker 3>luxury are actually Neil and gen Z around the world.

0:23:03.320 --> 0:23:08.119
<v Speaker 3>It's not your old wealthy people, and so there is

0:23:08.200 --> 0:23:11.800
<v Speaker 3>a fashion element, there's a social element we don't quite understand,

0:23:11.880 --> 0:23:16.679
<v Speaker 3>but the spending is quite strong, so we like the

0:23:16.800 --> 0:23:20.760
<v Speaker 3>customer mix. They do a very good job managing their business,

0:23:20.960 --> 0:23:27.239
<v Speaker 3>keeping supplies tight, maintaining that exclusivity and pricing power, and

0:23:27.320 --> 0:23:32.000
<v Speaker 3>for that reason you generate really strong margins and cash flow.

0:23:32.160 --> 0:23:36.440
<v Speaker 3>And again it's hard to find that consistently anywhere else,

0:23:36.920 --> 0:23:40.040
<v Speaker 3>but we have found it here. We really like the

0:23:40.119 --> 0:23:44.080
<v Speaker 3>industry from that perspective. But again we only go with

0:23:44.119 --> 0:23:47.320
<v Speaker 3>the big leaders. We don't go across the industry. There's

0:23:47.320 --> 0:23:50.719
<v Speaker 3>only a few brands that have this capture the moment

0:23:51.560 --> 0:23:54.840
<v Speaker 3>with consumers, and we just like to stick with those brands.

0:23:55.720 --> 0:23:59.359
<v Speaker 1>Interesting millennial angle there. It confirms my image of Wildana.

0:24:01.640 --> 0:24:05.480
<v Speaker 1>Drive it around in your Ferrari with yorks Vatan bag

0:24:05.600 --> 0:24:09.040
<v Speaker 1>filled with I did have it ermes Thai one time,

0:24:09.200 --> 0:24:11.480
<v Speaker 1>hermes Thai one time, but it was actually a hand

0:24:11.520 --> 0:24:13.440
<v Speaker 1>me down from my older brotherhood. Very much more of

0:24:13.480 --> 0:24:31.439
<v Speaker 1>a passionate stuff than my Joseph A. Beggs mark. I

0:24:31.440 --> 0:24:33.760
<v Speaker 1>think we've established that I did not take French in

0:24:33.840 --> 0:24:35.720
<v Speaker 1>high school, but I did take Spanish, so I can

0:24:35.720 --> 0:24:39.280
<v Speaker 1>pronounce another stock in your top ten. I don't think

0:24:39.320 --> 0:24:42.000
<v Speaker 1>a lot of us listeners are familiar with this one,

0:24:42.080 --> 0:24:44.520
<v Speaker 1>so maybe you can talk to us a little bit

0:24:44.640 --> 0:24:46.080
<v Speaker 1>about Mercado Libre.

0:24:46.960 --> 0:24:50.879
<v Speaker 3>Oh yeah, that's one of our favorites. So there, you know,

0:24:51.000 --> 0:24:54.800
<v Speaker 3>think of them as the Amazon of Latin America or

0:24:54.840 --> 0:24:58.919
<v Speaker 3>the Ali Baba of Latin America. So they span the

0:24:59.080 --> 0:25:02.159
<v Speaker 3>entire region with an e commerce platform which is the

0:25:02.280 --> 0:25:07.480
<v Speaker 3>largest and in Latin America, even in the biggest market, Brazil,

0:25:07.760 --> 0:25:11.199
<v Speaker 3>e commerce is very underpenetrated. We estimate, for example, in

0:25:11.240 --> 0:25:15.560
<v Speaker 3>Brazil it might be around ten percent penetration of the market,

0:25:16.000 --> 0:25:19.280
<v Speaker 3>whereas in the US we're well above twenty China is

0:25:19.320 --> 0:25:23.840
<v Speaker 3>almost thirty and so there's a long runway of growth

0:25:23.880 --> 0:25:27.040
<v Speaker 3>for them if they continue to execute well to get

0:25:27.080 --> 0:25:31.919
<v Speaker 3>more and more people online shopping. And it's different about

0:25:32.359 --> 0:25:37.199
<v Speaker 3>e commerce markets in emerging markets versus developed like the

0:25:37.320 --> 0:25:41.919
<v Speaker 3>US is. You usually get another facet to the platform,

0:25:42.800 --> 0:25:46.280
<v Speaker 3>and in the case of Ali Baba, it was financial technology.

0:25:46.400 --> 0:25:47.960
<v Speaker 3>In other words, how do you get people to buy

0:25:48.000 --> 0:25:51.600
<v Speaker 3>online whenether they don't have credit cards. You create an

0:25:51.640 --> 0:25:56.840
<v Speaker 3>internet based payment system and you allow people to load

0:25:57.080 --> 0:25:59.520
<v Speaker 3>money onto that, and then it becomes a de facto

0:25:59.600 --> 0:26:02.840
<v Speaker 3>payment system, not just for your e commerce site, but

0:26:02.920 --> 0:26:07.239
<v Speaker 3>people use it offline at a gas station, at a

0:26:07.280 --> 0:26:12.280
<v Speaker 3>farm stand, at a grocery store, pay your utility bills,

0:26:12.440 --> 0:26:16.359
<v Speaker 3>pay your Netflix bill, etc. Mercado Libra has the most

0:26:16.440 --> 0:26:21.040
<v Speaker 3>valuable payments platform in Latin America as well, called Mercado Pago,

0:26:21.960 --> 0:26:25.080
<v Speaker 3>and it's a big growth engine for them and a

0:26:25.160 --> 0:26:30.080
<v Speaker 3>huge source of profitability. So when you think about financial

0:26:30.200 --> 0:26:33.520
<v Speaker 3>access in Latin America or other emerging markets, it's really

0:26:33.560 --> 0:26:37.240
<v Speaker 3>important because they typically don't have access to state of

0:26:37.240 --> 0:26:40.840
<v Speaker 3>the art financial services. So once you start a payments

0:26:40.880 --> 0:26:44.680
<v Speaker 3>platform just to fuel your e commerce platform, all of

0:26:44.720 --> 0:26:47.720
<v Speaker 3>a sudden, you can start offering all sorts of financial

0:26:47.760 --> 0:26:51.159
<v Speaker 3>services on top of it at low feet and the

0:26:51.200 --> 0:26:54.359
<v Speaker 3>banking system doesn't offer it to the majority of the population.

0:26:54.920 --> 0:26:58.480
<v Speaker 3>So again you have another huge addressable market, unmet need

0:26:58.520 --> 0:27:02.879
<v Speaker 3>in the marketplace being solved for by technology companies. So

0:27:02.960 --> 0:27:05.160
<v Speaker 3>that's that's why we like it so much.

0:27:05.600 --> 0:27:08.360
<v Speaker 1>Really interesting, you know, it's great to hear. We don't

0:27:08.400 --> 0:27:11.520
<v Speaker 1>often talk to global fund managers with global discussions, so

0:27:11.560 --> 0:27:14.320
<v Speaker 1>it's educational to hear about these companies we might not

0:27:14.560 --> 0:27:17.680
<v Speaker 1>know so much about. Well Mark Barrabou, he's the head

0:27:17.720 --> 0:27:21.000
<v Speaker 1>of Global Equity at Jennison Associates, which is the fundamental

0:27:21.040 --> 0:27:24.280
<v Speaker 1>equity business at PGIM. Thanks so much, Mark, We can't

0:27:24.359 --> 0:27:27.000
<v Speaker 1>quite let you go just yet. Though. We do have

0:27:27.040 --> 0:27:29.960
<v Speaker 1>a tradition on the show where we all must discuss

0:27:30.800 --> 0:27:35.320
<v Speaker 1>the craziest things we saw in markets this week. And well,

0:27:35.320 --> 0:27:37.719
<v Speaker 1>don I'm gonna pick your brain on this one.

0:27:38.119 --> 0:27:41.440
<v Speaker 2>Wow, you're still going with the jokes. The jokes are

0:27:41.480 --> 0:27:43.040
<v Speaker 2>as you said, in bad taste.

0:27:42.760 --> 0:27:45.560
<v Speaker 1>The very bad tastes. Yeah, but you started it, so

0:27:45.640 --> 0:27:48.560
<v Speaker 1>it's all your fault I did. I'm not going to

0:27:48.600 --> 0:27:49.679
<v Speaker 1>get Lindy a hand on that.

0:27:49.920 --> 0:27:54.080
<v Speaker 2>Oh my god, Okay, this but this really was It's

0:27:54.280 --> 0:27:57.359
<v Speaker 2>it's a market. It's a market, yes, but it's also

0:27:57.520 --> 0:27:59.960
<v Speaker 2>a really creepy, spooky story.

0:28:00.600 --> 0:28:03.560
<v Speaker 1>Right, No more, Ado, Without further Ado hit him with

0:28:03.640 --> 0:28:04.320
<v Speaker 1>the craziest thing.

0:28:05.119 --> 0:28:09.159
<v Speaker 2>The manager of Harvard's medical school morg got in trouble

0:28:09.160 --> 0:28:12.480
<v Speaker 2>this week for stealing body parts and then selling them.

0:28:13.000 --> 0:28:16.720
<v Speaker 2>This was a huge story on the terminal. So this guy,

0:28:17.359 --> 0:28:21.280
<v Speaker 2>he allowed buyers into the school's morgue. They chose body

0:28:21.320 --> 0:28:29.080
<v Speaker 2>parts from donated donors. Yep, and he transported heads, brainskin

0:28:29.240 --> 0:28:31.399
<v Speaker 2>and bones to his home in New Hampshire.

0:28:31.720 --> 0:28:33.879
<v Speaker 1>Now you were thinking, all right, is there these for

0:28:34.160 --> 0:28:37.400
<v Speaker 1>organ donations organ transplant which would be a high dollar

0:28:37.520 --> 0:28:41.160
<v Speaker 1>value I'm obviously most obsessed with the price discovery on

0:28:41.240 --> 0:28:44.000
<v Speaker 1>the body parts. You know, you hear kidneys selling for

0:28:44.360 --> 0:28:47.760
<v Speaker 1>hundreds of thousands and millions. Maybe, but no, this is

0:28:48.160 --> 0:28:54.640
<v Speaker 1>like Cat's creepy corner, like a retail store selling like macabs. Yeah,

0:28:54.800 --> 0:28:57.960
<v Speaker 1>scary stuff. I'm going to go one further because I

0:28:58.160 --> 0:29:01.000
<v Speaker 1>did the due diligence to get some price discovery on

0:29:01.080 --> 0:29:04.120
<v Speaker 1>these body parts, and I'm not sure you did. So

0:29:04.160 --> 0:29:07.120
<v Speaker 1>I think that means we can play our little game show.

0:29:07.120 --> 0:29:10.160
<v Speaker 1>The price is precise, and I regret to inform you Mark,

0:29:10.200 --> 0:29:12.400
<v Speaker 1>you're now a contestant on that he doesn't want the

0:29:12.440 --> 0:29:14.040
<v Speaker 1>prices very good.

0:29:14.280 --> 0:29:17.960
<v Speaker 3>We're gonna test your Are we talking for transplant or petsod?

0:29:20.120 --> 0:29:23.040
<v Speaker 1>It's more like a novelty market. I'll give you an example.

0:29:23.160 --> 0:29:25.440
<v Speaker 1>I apologize this all is in very bad taste. It

0:29:26.120 --> 0:29:31.160
<v Speaker 1>but one guy purchased a bunch of human skin. I

0:29:31.160 --> 0:29:31.880
<v Speaker 1>can't even.

0:29:31.640 --> 0:29:33.120
<v Speaker 2>Say, Oh, this is so bad.

0:29:33.320 --> 0:29:36.720
<v Speaker 1>He purchased in Pennsylvania, my home state. It's just embarrassing

0:29:36.960 --> 0:29:40.080
<v Speaker 1>it would be Pennsylvania. He purchased a bunch of human skin,

0:29:40.160 --> 0:29:43.240
<v Speaker 1>then he tanned it and turned it in. No he didn't, Yeah,

0:29:43.440 --> 0:29:46.880
<v Speaker 1>which I gotta say, oh my god, I personally I

0:29:46.880 --> 0:29:50.320
<v Speaker 1>am an Oregon donor if someone took my skin and

0:29:50.520 --> 0:29:54.560
<v Speaker 1>made leather out of it, maybe a LVMH handbag or

0:29:54.720 --> 0:29:58.440
<v Speaker 1>an Ermes mark shaking it marks about the mark's about

0:29:58.480 --> 0:30:04.120
<v Speaker 1>to end this soon, he's gone anyway. Prices precise, and

0:30:04.160 --> 0:30:07.280
<v Speaker 1>what happened is the payments. Of course, where else would

0:30:07.280 --> 0:30:07.840
<v Speaker 1>they be made?

0:30:07.960 --> 0:30:11.080
<v Speaker 2>But Venmo, I'm surprised it wasn't via crypto.

0:30:11.360 --> 0:30:13.280
<v Speaker 1>Yeah, maybe there were some that we don't know about.

0:30:13.680 --> 0:30:17.920
<v Speaker 1>One customer purchased a human head. Oh my god, human

0:30:17.920 --> 0:30:20.200
<v Speaker 1>head number seven to be specific. So he would let

0:30:20.200 --> 0:30:22.640
<v Speaker 1>these people into go shopping around in the moor to

0:30:22.720 --> 0:30:24.240
<v Speaker 1>decide what they wanted.

0:30:24.520 --> 0:30:25.840
<v Speaker 2>This is so wild.

0:30:25.920 --> 0:30:29.040
<v Speaker 1>So human head number seven was paid for with a

0:30:29.120 --> 0:30:32.680
<v Speaker 1>Venmo payment. What do you suppose the price was for

0:30:32.800 --> 0:30:34.120
<v Speaker 1>human head number seven?

0:30:35.200 --> 0:30:36.240
<v Speaker 2>Twenty thousand dollars?

0:30:36.280 --> 0:30:42.080
<v Speaker 1>Twenty thousand dollars mark? What's your price's precise? Guess for human.

0:30:42.640 --> 0:30:45.000
<v Speaker 3>Because I'm not prepared for this at all, but I

0:30:45.000 --> 0:30:46.480
<v Speaker 3>would say less than a thousand.

0:30:46.840 --> 0:30:50.360
<v Speaker 1>Oh, that is why he is the head of fundamentals

0:30:50.360 --> 0:30:55.200
<v Speaker 1>and I'm not one thousand exactly? What yeah, yeah, one

0:30:55.600 --> 0:30:57.680
<v Speaker 1>thousand for human head number seven.

0:30:58.360 --> 0:31:00.600
<v Speaker 2>Because Pa do you know if you're getting right price.

0:31:02.120 --> 0:31:04.480
<v Speaker 1>It's a very thin market. Not a lot of liquidity

0:31:04.480 --> 0:31:07.960
<v Speaker 1>in this market. Which there's a joke, but don't make it.

0:31:07.960 --> 0:31:12.040
<v Speaker 1>Don't make it. There was one venmo payment with the

0:31:12.080 --> 0:31:17.760
<v Speaker 1>memo that just said brains with five eyes. It's winter

0:31:17.840 --> 0:31:18.720
<v Speaker 1>Bucks for the brain.

0:31:18.840 --> 0:31:20.640
<v Speaker 2>Oh my god, I.

0:31:20.680 --> 0:31:22.960
<v Speaker 1>Think I've even disgusted myself with a segment.

0:31:23.280 --> 0:31:24.080
<v Speaker 2>This is horrible.

0:31:24.360 --> 0:31:26.480
<v Speaker 1>It's horrible, but Veldona secretly loves it.

0:31:26.520 --> 0:31:31.440
<v Speaker 2>You can go No, I just was interested in the story.

0:31:32.280 --> 0:31:35.240
<v Speaker 1>Mark. We apologize for that segment. We have to be okay,

0:31:35.640 --> 0:31:37.760
<v Speaker 1>we have to be true to our mission here and

0:31:37.800 --> 0:31:40.160
<v Speaker 1>that is truly the craziest thing. It really is.

0:31:40.200 --> 0:31:43.280
<v Speaker 2>It's wild. There was some other stuff. There were some

0:31:43.440 --> 0:31:44.320
<v Speaker 2>other good stories.

0:31:44.480 --> 0:31:46.240
<v Speaker 1>Maybe Mark has a good one. Mark, you got any

0:31:46.240 --> 0:31:48.760
<v Speaker 1>good crazy stories for us, any good crazy.

0:31:48.680 --> 0:31:50.840
<v Speaker 3>I don't have anything. I don't have any I can't

0:31:50.880 --> 0:31:51.360
<v Speaker 3>compete with.

0:31:51.520 --> 0:31:55.280
<v Speaker 2>I'm so sorry, Mark, he's never going to come back on.

0:31:56.000 --> 0:31:58.840
<v Speaker 1>Well that was Mark Barrebeau of Jennison at p JAM.

0:31:59.600 --> 0:32:01.440
<v Speaker 1>Really quite a pleasure to talk to you and hear

0:32:01.480 --> 0:32:04.440
<v Speaker 1>your insight on everything going on in the markets these days. Mark,

0:32:04.560 --> 0:32:05.760
<v Speaker 1>We really appreciate your time.

0:32:06.040 --> 0:32:08.640
<v Speaker 3>Thank you. It was great to be on and hopefully

0:32:08.640 --> 0:32:09.480
<v Speaker 3>you'll have me back.

0:32:09.720 --> 0:32:15.040
<v Speaker 2>Yeah, we're gonna pick you my god Mark, I'm sorry

0:32:15.160 --> 0:32:17.560
<v Speaker 2>and thank you. It was great to have you on.

0:32:18.280 --> 0:32:20.440
<v Speaker 3>Thanks, we'll see you later work.

0:32:28.000 --> 0:32:30.320
<v Speaker 1>What Goes Up will be back next week. Until then,

0:32:30.320 --> 0:32:33.080
<v Speaker 1>you can find us on the Bloomberg Terminal, website and app,

0:32:33.200 --> 0:32:36.160
<v Speaker 1>or wherever you get your podcasts. We'd love it if

0:32:36.160 --> 0:32:38.080
<v Speaker 1>you took the time to rate and review the show

0:32:38.160 --> 0:32:41.520
<v Speaker 1>on Apple Podcasts. Some more listeners can find us, and

0:32:41.560 --> 0:32:44.480
<v Speaker 1>you can find us on Twitter, follow me at Reaganonymous.

0:32:45.080 --> 0:32:48.760
<v Speaker 1>Wildna Hirich is at Bildona Hirich. You can also follow

0:32:48.760 --> 0:32:53.360
<v Speaker 1>Bloomberg Podcasts at podcasts. What Goes Up is produced by

0:32:53.400 --> 0:33:02.400
<v Speaker 1>Stacy Wang. Thanks for listening, See you next time at

0:33:03.320 --> 0:33:03.760
<v Speaker 1>mentan