WEBVTT - James van Geelen on Thematic Investing Right Now

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>Hello and welcome to another episode of the All Thoughts podcast.

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<v Speaker 2>I'm Tracy Alloway.

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<v Speaker 3>And I'm Joe. Why isn't thal Joe?

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<v Speaker 2>Do you think it's fair to say that things seem

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<v Speaker 2>a little uncertain at the moment?

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<v Speaker 4>Well?

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<v Speaker 3>Yes, Well what do you have in mind?

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<v Speaker 4>Okay?

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<v Speaker 3>Well, of course yes, and big things going on.

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<v Speaker 2>So I was thinking particularly of three things. So number

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<v Speaker 2>one is obviously US presidential elections, and things seem very

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<v Speaker 2>uncertain on that front. We're not sure who's going to

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<v Speaker 2>win in November. And more than that, at this point,

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<v Speaker 2>I think we're not entirely sure who the Democratic candidate

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<v Speaker 2>is going to be. There's uncertainty there. But then secondly,

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<v Speaker 2>there's uncertainty about the direction of the stock market in

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<v Speaker 2>a number of ways. So we have seen some of

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<v Speaker 2>the error kicked out of the tires of big outperformers

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<v Speaker 2>from earlier in the year. I'm thinking specifically of Nvidia

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<v Speaker 2>and some of those big tech companies. They've come down recently.

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<v Speaker 2>There are people talking about how AI is the future

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<v Speaker 2>of industry, but there are also people talking about how

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<v Speaker 2>AI is a massive bubble, and I think Goldman Sachs

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<v Speaker 2>had that analysis out earlier this week talking about how

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<v Speaker 2>there was no actual use case for AI, which seems

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<v Speaker 2>to be the polar opposite of some of the enthusiasm

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<v Speaker 2>in the market. And then thirdly, we still have that

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<v Speaker 2>underlying economic tension where it seems like there are some

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<v Speaker 2>signs of a slowdown, but the Fed so far is

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<v Speaker 2>kind of resisting any pressure to cut interest rates. So

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<v Speaker 2>lots of things up in the air at the moment.

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<v Speaker 5>Yeah, I mean, like you said, uncertainty is always with

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<v Speaker 5>in the market, but there are some really big questions.

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<v Speaker 3>About things that are going on. The AI one in.

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<v Speaker 5>Particular, because a lot of people, as you notice, like wow,

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<v Speaker 5>they're really spending a lot of money on all this

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<v Speaker 5>chips and electricity, and the payoff is ambiguous, and.

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<v Speaker 3>So there are a lot of questions about that.

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<v Speaker 5>Clearly, the political landscape, although you know, on questions related

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<v Speaker 5>to the market. Look, the stock market's done really well

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<v Speaker 5>under Joe Biden, it did really well under President Trump,

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<v Speaker 5>seems to mostly go up over time. But yes, the

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<v Speaker 5>age of uncertainty, I would not disagree with you.

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<v Speaker 2>So all of this had me thinking, you know, if

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<v Speaker 2>you're an investor, and particularly a thematic investor. At the moment,

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<v Speaker 2>I think you're facing some tough choices because it's not

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<v Speaker 2>just a range of uncertainties. In some respects, it's like

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<v Speaker 2>polar opposite outcomes. You know, either you get Trump and

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<v Speaker 2>everything that comes with it, or you get Biden and

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<v Speaker 2>everything that comes with that, and some of that is

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<v Speaker 2>very different totally.

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<v Speaker 5>Well, the other thing that I've been thinking about in

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<v Speaker 5>the AI conversation really has driven this home, which is

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<v Speaker 5>that if you're a discretionary investor, now me, I'm just

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<v Speaker 5>spy and die all the way. So I don't have

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<v Speaker 5>to think about all this stuff because I own Nvidia

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<v Speaker 5>and through my S and P five hundred index fund.

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<v Speaker 4>But if in.

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<v Speaker 5>Nvidia falls out of favor and something else rises, well

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<v Speaker 5>I'll have that too, So I'm spy and die. But

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<v Speaker 5>I understand that some people have to like beat the

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<v Speaker 5>benchmark or beat the index, or justify why someone else

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<v Speaker 5>would pay them fees to invest money on their behalf.

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<v Speaker 5>Then of course you really have to get the call correct,

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<v Speaker 5>because the only way that you beat the market over

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<v Speaker 5>this year or last year is if you got the

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<v Speaker 5>AI call, and if you weren't heavy on Nvidia or

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<v Speaker 5>some of these other names. You almost certainly did not

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<v Speaker 5>justify someone giving paying you money to invest, and so

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<v Speaker 5>these are really tough questions for investors who have to

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<v Speaker 5>like do well so to speak relatively to answer yes.

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<v Speaker 2>So I'm very pleased to say that we have the

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<v Speaker 2>perfect guest we are going to bring back on, James

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<v Speaker 2>van Gielan. He is, of course the fault owner of

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<v Speaker 2>Satrini Research. We spoke to him last year about one

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<v Speaker 2>of his big investment themes, which at the time was

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<v Speaker 2>ozembic and the associated GLP one weight loss drugs. That

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<v Speaker 2>was a huge winner in the months since. We're going

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<v Speaker 2>to get a handle on what he's looking at now

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<v Speaker 2>and also his thought process for developing new investment themes

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<v Speaker 2>at a time when a lot of things seem to

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<v Speaker 2>be very uncertain. So James, thanks so much for coming

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<v Speaker 2>back on all thoughts.

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<v Speaker 4>Thanks for having me back.

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<v Speaker 2>What are you looking at nowadays? To start with the

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<v Speaker 2>easy question, Yeah.

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<v Speaker 4>Well, you know, AI obviously is a huge theme in

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<v Speaker 4>the market, and I think part of it, Yeah, have

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<v Speaker 4>you really Yeah, it's this little thing. But I think

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<v Speaker 4>that the most important way to basically track this theme

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<v Speaker 4>is it's one of those technologically innovation driven kind of themes.

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<v Speaker 4>And the way that I viewed thematic investing is along

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<v Speaker 4>this spectrum of you have disruption or continuation, and then

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<v Speaker 4>you have macro drivers or micro drivers. And I'm not

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<v Speaker 4>talking about necessarily macro and the sense of macroeconomics, but

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<v Speaker 4>you know, demographic shifts, even like consumer attitudes, the overton

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<v Speaker 4>windows shifting, just big things changing versus big things staying

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<v Speaker 4>the same. So over the past twelve months, you know,

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<v Speaker 4>there have been probably ten or twelve themes that I

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<v Speaker 4>think have really made themselves down in the market and

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<v Speaker 4>the way that's as it's moved, and right now, there

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<v Speaker 4>have been a few that I've probably overstayed my welcoming.

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<v Speaker 4>I think that some of them are getting a little

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<v Speaker 4>bit frothy.

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<v Speaker 2>And you were early to AI, yeah.

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<v Speaker 4>Yeah, and that's one of the risks of doing this

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<v Speaker 4>kind of investing. You know, there's a great quote from

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<v Speaker 4>Robert Schiller. Nobody has ever made a decision based on

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<v Speaker 4>a number. They always need a story. I don't know

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<v Speaker 4>if that's the exact quote, but another one of my

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<v Speaker 4>favorites is Kyle Harrison said that price is a number

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<v Speaker 4>today multiplied by a story tomorrow. And the way that

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<v Speaker 4>I ve be investing is it's always going to prioritize

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<v Speaker 4>a good story and a good narrative. And that's what

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<v Speaker 4>has the making of a theme, because you need people

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<v Speaker 4>to make the decision to execute a trade and move price,

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<v Speaker 4>and then you also need on the other side something

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<v Speaker 4>to actually happen in the real economy. And as far

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<v Speaker 4>as artificial intelligence, this kind of fast moving innovative theme

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<v Speaker 4>that we don't really you know, you can say what

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<v Speaker 4>is AI going to look like five years out and

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<v Speaker 4>you'll get five different answers from five different people. And

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<v Speaker 4>I started from a place of you know, which became

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<v Speaker 4>consensus very quickly with the picks and shovels, right, and

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<v Speaker 4>then the picks and shovels of the picks and shovels,

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<v Speaker 4>and then you get this thing where you know, during

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<v Speaker 4>the gold Rush, it wasn't just everyone showing up to

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<v Speaker 4>sell picks and shovels, just everyone waiting there. So we

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<v Speaker 4>have to kind of look now for this controversial thing

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<v Speaker 4>of does AI have use cases? And I think it's

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<v Speaker 4>pretty clear that it does if you're looking for it.

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<v Speaker 4>But in terms of like monitoring the way that it's

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<v Speaker 4>going to progress. I think the biggest component here is

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<v Speaker 4>going to be going from B to B to B

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<v Speaker 4>two C. And what I said about two months ago

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<v Speaker 4>was that the company that was going to make this

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<v Speaker 4>really happen, it's not going to be Microsoft, you know

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<v Speaker 4>with Chat, GBT and open AI. I think it's going

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<v Speaker 4>to be Apple. And you know, if any company can

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<v Speaker 4>get it done, it's going to be Apple. And you

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<v Speaker 4>have this kind of dynamic where you need something to

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<v Speaker 4>happen that forces people to use it. Right. It's kind

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<v Speaker 4>of like like Facebook, right, or social media in general,

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<v Speaker 4>where you know there was only so long you could

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<v Speaker 4>go without being connected to everything and everyone. And Apple

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<v Speaker 4>is you know, have you ever texted someone like, Hey,

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<v Speaker 4>I'm coming over and then you get in the car

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<v Speaker 4>and if it connects the car play, it'll give you

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<v Speaker 4>a notification that says, like, you know, directions to Joe's house.

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<v Speaker 3>Yeah.

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<v Speaker 4>Your phone knows everything about you, right, And your phone

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<v Speaker 4>knows who you are, it knows what you're doing, it

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<v Speaker 4>knows what you want to do, it knows who your

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<v Speaker 4>mom is. And that information combined with Apple's trust in

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<v Speaker 4>the consumer, trust and the idea that they place of

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<v Speaker 4>a high premium on privacy. You can't have this AI

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<v Speaker 4>assistant that knows everything about you if you think that

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<v Speaker 4>it's going to be stored on a server in Kubertino.

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<v Speaker 4>It needs to be on your phone. So the next

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<v Speaker 4>thing is how do we start having these big models

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<v Speaker 4>that you know that are in these very big data

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<v Speaker 4>centers and you know all this CAPEX that's spent on that.

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<v Speaker 4>Now we have to just like every other technological trend,

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<v Speaker 4>we have to miniaturize it, right, and we have to

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<v Speaker 4>basically have your phone doing inference, you know, sending to

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<v Speaker 4>those models, but also these smaller models.

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<v Speaker 5>Can I push back on that real quickly because I've

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<v Speaker 5>given up every piece of information about my entire life

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<v Speaker 5>already to the internet at all. Yeah, of course I

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<v Speaker 5>have just by existing in the world, right and I'm

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<v Speaker 5>not and it all exists on servers somewhere in either

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<v Speaker 5>Kupertino or Amazon servers or whatever. What is it about

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<v Speaker 5>AI specifically that changes that need? Because like I said,

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<v Speaker 5>I've given I didn't I don't want to. But just

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<v Speaker 5>the reality of life in the world is my information

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<v Speaker 5>is already out there.

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<v Speaker 4>So AI has two sides, training and inference, right, And

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<v Speaker 4>you can train on. You know, all this data that

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<v Speaker 4>you've already given up to the faceless kind of entity

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<v Speaker 4>that controls the world. But what AI brings about is

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<v Speaker 4>in real time drawing conclusions from that data. And it's

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<v Speaker 4>two sided. There's convenience and then there's privacy concerns. And

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<v Speaker 4>I agree with you that convenience definitely outweighs privacy concerns

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<v Speaker 4>when it comes to the consumer. But when you have

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<v Speaker 4>this ecosystem that Apple has created with this walled garden,

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<v Speaker 4>and then you kind of alleviate the privacy concerns and

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<v Speaker 4>you have this constant inference that's going on, and there

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<v Speaker 4>will come a time where you know, you'll be walking

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<v Speaker 4>down the street and you'll say, I just called Tracy,

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<v Speaker 4>you know a week ago. What did we talk about

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<v Speaker 4>and when did we say we're going to meet?

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<v Speaker 1>Oh?

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<v Speaker 4>Okay, can you text Tracy and tell her, actually, I

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<v Speaker 4>have a thesis that just got destroyed, so I don't

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<v Speaker 4>really want to talk about that one. And you know,

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<v Speaker 4>can you text Joe and let him know too, And

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<v Speaker 4>then can you look at my calendar when am my velvement?

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<v Speaker 4>You can be walking down the street. Yeah, And the

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<v Speaker 4>productivity gains from your phone doing inference and inferring what

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<v Speaker 4>it knows about you from that data.

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<v Speaker 3>That's huge, real quickly.

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<v Speaker 5>So you mentioned the picks and shovels and video, than

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<v Speaker 5>the picks and shovels who provide the picks and shovels

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<v Speaker 5>and people got to tell you about super micro and

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<v Speaker 5>the racks and maybe Dell super Micro.

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<v Speaker 4>I never heard of it.

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<v Speaker 3>I've heard of it, just so we're clear your long Apple.

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<v Speaker 4>Yeah, I'm any name that I mentioned inherently, I'm automatically

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<v Speaker 4>going to be longer shot.

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<v Speaker 2>Yeah, you mentioned the privacy concerns, and I just thought

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<v Speaker 2>back to this moment. My husband and I were in

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<v Speaker 2>our kitchen and we were talking about something really innocuous,

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<v Speaker 2>like corn or something, and suddenly Alexa started telling us

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<v Speaker 2>a joke about corn, and like we hadn't said Alexa

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<v Speaker 2>or anything like that, it just started talking like clearly

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<v Speaker 2>had been recording everything that we were saying. And I

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<v Speaker 2>will admit that that was that was kind of a

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<v Speaker 2>jarring experience. I would be less surprised if my Apple

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<v Speaker 2>phone did that versus my Alexa that I use to

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<v Speaker 2>turn on the lights and things like that.

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<v Speaker 4>Yeah, it turns out that large language models are really

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<v Speaker 4>good at language.

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<v Speaker 2>Yeah, surprising.

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<v Speaker 4>I think that the next kind of picks and shovels idea.

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<v Speaker 4>The thing is everyone's always well, what are we going

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<v Speaker 4>to invest in that's doing the use cases? And then

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<v Speaker 4>those same people will come around and say, why are

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<v Speaker 4>you know these five stocks driving the entire market? And

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<v Speaker 4>the thing is the latency between a company starting and

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<v Speaker 4>becoming successful and doing an IPO has gotten a lot

0:12:33.120 --> 0:12:36.880
<v Speaker 4>longer in the past, like two decades, So if you're

0:12:36.920 --> 0:12:39.320
<v Speaker 4>a public equity investor, you might not really get to

0:12:40.040 --> 0:12:41.960
<v Speaker 4>the use cases that you can invest in are those

0:12:41.960 --> 0:12:45.560
<v Speaker 4>five stocks and combine that with you know, everything else,

0:12:45.600 --> 0:12:48.160
<v Speaker 4>and like you said, the uncertainty. When there's uncertainty, people

0:12:48.200 --> 0:12:51.120
<v Speaker 4>tend to crowd into things that they know are going

0:12:51.200 --> 0:12:54.559
<v Speaker 4>to work. I think that really the picks and shovels

0:12:54.559 --> 0:12:57.920
<v Speaker 4>thing will probably play out again. But when it comes

0:12:57.960 --> 0:13:02.600
<v Speaker 4>to EDJI and doing inference onto and kind of I

0:13:02.640 --> 0:13:06.079
<v Speaker 4>mean this is probably a controversial statement, but I think

0:13:06.120 --> 0:13:10.720
<v Speaker 4>that we might see the first real true replacement cycle,

0:13:11.360 --> 0:13:14.640
<v Speaker 4>like real replacement cycle where Apple comes out with the

0:13:14.679 --> 0:13:18.400
<v Speaker 4>new phone and it has all these productivity gains, and

0:13:18.440 --> 0:13:20.720
<v Speaker 4>it has all this new hardware, and you know, it

0:13:20.760 --> 0:13:22.840
<v Speaker 4>can do these things, and if you don't have that phone,

0:13:22.880 --> 0:13:24.960
<v Speaker 4>you can't do it, and it becomes kind of like

0:13:25.040 --> 0:13:29.760
<v Speaker 4>that sci fi movie Gatica, where you know, yeah, if

0:13:29.800 --> 0:13:31.920
<v Speaker 4>you're left out, you're you're just you're just left behind.

0:13:32.000 --> 0:13:34.520
<v Speaker 5>I've been wondering about this because at some point in

0:13:34.600 --> 0:13:38.959
<v Speaker 5>my life it's stopped being important to upgrade. I mean,

0:13:39.360 --> 0:13:41.559
<v Speaker 5>at some point in my life it's stopped being important

0:13:41.679 --> 0:13:44.360
<v Speaker 5>or interesting to even tune into, like the new Apple events,

0:13:44.360 --> 0:13:46.719
<v Speaker 5>and those used to be big events online, and then

0:13:46.760 --> 0:13:49.760
<v Speaker 5>people stopped. And then at one point, if someone asked me,

0:13:49.960 --> 0:13:51.960
<v Speaker 5>what iPhone do you have, I would have told them

0:13:52.000 --> 0:13:53.960
<v Speaker 5>the anti Zycle. I have the iPhone five for whatever.

0:13:53.960 --> 0:13:55.840
<v Speaker 5>I have no idea which one I have right now.

0:13:55.880 --> 0:13:57.960
<v Speaker 5>I got a couple of years ago. It does everything

0:13:57.960 --> 0:14:00.559
<v Speaker 5>I need. I have zero idea which one it is.

0:14:00.800 --> 0:14:02.880
<v Speaker 5>So I've been sort of wondering. Yeah, So you think

0:14:02.880 --> 0:14:06.280
<v Speaker 5>that there's the potential, at least for some unlock of

0:14:06.360 --> 0:14:09.160
<v Speaker 5>new capabilities where the people who don't have that new

0:14:09.200 --> 0:14:12.240
<v Speaker 5>phone actually feel, oh, I really just can't interact with

0:14:12.320 --> 0:14:13.920
<v Speaker 5>the same way that people who have it do.

0:14:14.240 --> 0:14:18.120
<v Speaker 4>Yeah, and that kind of replacement cycle drives that new

0:14:18.160 --> 0:14:21.480
<v Speaker 4>picks and shovels thesis where you're looking at all these

0:14:21.560 --> 0:14:24.400
<v Speaker 4>kind of you know, system on chip names, and that's

0:14:24.440 --> 0:14:27.400
<v Speaker 4>where I see this theme that you know, everyone is

0:14:27.440 --> 0:14:31.680
<v Speaker 4>talking about going But the thing about thematic equity is

0:14:31.720 --> 0:14:35.320
<v Speaker 4>that if you let it, it just becomes momentum investing,

0:14:35.840 --> 0:14:41.000
<v Speaker 4>because themes are stories, and stories translate into momentum very easily.

0:14:41.320 --> 0:14:46.160
<v Speaker 4>And when people do an association with momentum, they're always

0:14:46.200 --> 0:14:50.240
<v Speaker 4>thinking about kind of momentum inable market like what we've

0:14:50.280 --> 0:14:53.040
<v Speaker 4>been seeing. And you know that's not the case at all.

0:14:53.200 --> 0:14:56.920
<v Speaker 4>There was plenty of themes in twenty twenty two when

0:14:56.920 --> 0:14:59.360
<v Speaker 4>everything else was going down. I mean, tech going down

0:14:59.520 --> 0:15:02.200
<v Speaker 4>was a theme. You know, the interest rate hikes, the

0:15:02.280 --> 0:15:04.640
<v Speaker 4>inflation for the first time that you know, that's a theme.

0:15:04.680 --> 0:15:07.040
<v Speaker 4>That's a story that grabs people's attention and makes them

0:15:07.080 --> 0:15:11.000
<v Speaker 4>go to their terminal and execute a trade. And same

0:15:11.000 --> 0:15:13.640
<v Speaker 4>thing with energy, and you know, the war in Ukraine.

0:15:13.640 --> 0:15:19.400
<v Speaker 4>And so I try my hardest to it's super cliche,

0:15:19.520 --> 0:15:23.400
<v Speaker 4>but think a few months ahead at least.

0:15:39.240 --> 0:15:44.080
<v Speaker 2>So for something like the US presidential elections. You know,

0:15:44.480 --> 0:15:46.960
<v Speaker 2>again things are currently up in the air, and you

0:15:47.000 --> 0:15:49.000
<v Speaker 2>can look at the polls and have a sense of

0:15:49.040 --> 0:15:52.720
<v Speaker 2>who might have a lead, but overall it's pretty difficult

0:15:52.720 --> 0:15:55.640
<v Speaker 2>to tell who's going to be in office come next year.

0:15:56.320 --> 0:15:59.640
<v Speaker 2>How do you start preparing for something like that from

0:15:59.680 --> 0:16:01.640
<v Speaker 2>an perspective.

0:16:01.920 --> 0:16:05.280
<v Speaker 4>So if the question how do you start preparing the

0:16:05.400 --> 0:16:09.360
<v Speaker 4>answer early early, you start preparing early. Right. No, I

0:16:09.400 --> 0:16:12.440
<v Speaker 4>don't think that, you know, was anyone surprised that we

0:16:12.480 --> 0:16:14.640
<v Speaker 4>have an election this year? Yeah?

0:16:14.680 --> 0:16:17.320
<v Speaker 3>Some people, Yeah, you know, some people really are because

0:16:17.360 --> 0:16:18.920
<v Speaker 3>of how few people have been paying attention.

0:16:19.280 --> 0:16:22.560
<v Speaker 4>I mean, that's It's one of those things where I

0:16:22.600 --> 0:16:25.120
<v Speaker 4>think it's like when you're a kid and you touch

0:16:25.160 --> 0:16:27.840
<v Speaker 4>the stove and you get burned, and you're well, I'm

0:16:27.880 --> 0:16:30.880
<v Speaker 4>not doing that again. That's how I think the twenty

0:16:30.960 --> 0:16:34.720
<v Speaker 4>twenty election was for me. So as soon as I

0:16:34.760 --> 0:16:36.520
<v Speaker 4>saw that the year was an election year, I started

0:16:36.560 --> 0:16:39.480
<v Speaker 4>kind of preparing for this. This was back in January

0:16:39.480 --> 0:16:43.680
<v Speaker 4>when the odds of Trump even being a nominee, right,

0:16:43.760 --> 0:16:46.160
<v Speaker 4>or like being the Republican nominee, were like twenty percent.

0:16:46.880 --> 0:16:49.400
<v Speaker 4>It was relatively easy back then to look at these

0:16:49.520 --> 0:16:56.440
<v Speaker 4>very kind of exposed equities and say, this is a

0:16:56.520 --> 0:16:59.400
<v Speaker 4>swap I guess on Trump being a nominee.

0:16:59.480 --> 0:17:02.720
<v Speaker 5>So I've ied some cell side research about who would

0:17:02.720 --> 0:17:06.639
<v Speaker 5>be exposed. One clever one the company five below. He

0:17:06.720 --> 0:17:09.720
<v Speaker 5>sells a bunch of cheap stuff, which you can't sell

0:17:09.800 --> 0:17:12.680
<v Speaker 5>cheap stuff if there's a massive tariffs on cheap stuff.

0:17:12.680 --> 0:17:15.120
<v Speaker 5>And that stock has been Oh that's a total dog.

0:17:15.200 --> 0:17:17.480
<v Speaker 5>That stock was over two hundred back in March and

0:17:17.520 --> 0:17:19.440
<v Speaker 5>now it's at one hundred and two. Of the time

0:17:19.480 --> 0:17:21.640
<v Speaker 5>we're talking about this, what stands out to you is.

0:17:21.600 --> 0:17:24.320
<v Speaker 4>Being exposed depending on what the theme is there, I

0:17:24.600 --> 0:17:28.560
<v Speaker 4>create either a long short basket to kind of gain exposure,

0:17:28.880 --> 0:17:32.040
<v Speaker 4>because I don't ever want that kind of idiosyncratic like

0:17:32.160 --> 0:17:35.400
<v Speaker 4>single name equity risk where a company ends up doing

0:17:35.400 --> 0:17:38.320
<v Speaker 4>really well and has nothing to do with my actual thesis.

0:17:38.680 --> 0:17:42.359
<v Speaker 4>So I constructed a basket that kind of played on

0:17:42.400 --> 0:17:44.840
<v Speaker 4>a few different themes. Tariffs was a big one of them. Right,

0:17:45.359 --> 0:17:48.440
<v Speaker 4>So you look at how much comes from China. First,

0:17:48.480 --> 0:17:51.919
<v Speaker 4>you look at Trump's what he says, right, one hundred

0:17:51.960 --> 0:17:54.800
<v Speaker 4>percent tariffs, sixty percent tariffs that you know, and the

0:17:54.840 --> 0:18:00.280
<v Speaker 4>thing is protectionism from China. Trade that's not that's not

0:18:00.320 --> 0:18:03.119
<v Speaker 4>a part is an issue anymore. Right, There are no

0:18:03.320 --> 0:18:07.280
<v Speaker 4>China doves in the government. But Trump is certainly a

0:18:07.359 --> 0:18:09.840
<v Speaker 4>unique brand of that when it comes to the trade policy.

0:18:10.320 --> 0:18:12.880
<v Speaker 4>So that seemed like the most asymmetric way to kind

0:18:12.880 --> 0:18:18.040
<v Speaker 4>of capture that. So you look at five below for example, restoration, hardware,

0:18:18.440 --> 0:18:22.400
<v Speaker 4>floor and decor, you know, best Buy, these companies that

0:18:23.000 --> 0:18:26.840
<v Speaker 4>really do a lot of business when it comes to China,

0:18:27.040 --> 0:18:29.719
<v Speaker 4>and that's a lot of their impacosts and tariffs really

0:18:29.760 --> 0:18:31.959
<v Speaker 4>would affect them. And that's your short side. And then

0:18:32.000 --> 0:18:34.479
<v Speaker 4>you say, okay, well who is going to be all

0:18:34.600 --> 0:18:38.639
<v Speaker 4>right here? And that comes down to pricing power. You know,

0:18:38.800 --> 0:18:43.280
<v Speaker 4>if consumers start consolidating their spending because of tariff's, who

0:18:43.840 --> 0:18:48.560
<v Speaker 4>can kind of keep that pricing power regardless? And like Costco, Walmart,

0:18:48.840 --> 0:18:53.480
<v Speaker 4>some of the automotive parts like O'Reilly, that's your longside.

0:18:54.160 --> 0:18:56.199
<v Speaker 4>So that makes up one component of the basket and

0:18:56.200 --> 0:18:59.040
<v Speaker 4>then move on. Okay, And the thing is, for the

0:18:59.119 --> 0:19:02.399
<v Speaker 4>past three three years, one of my exposures to a

0:19:02.440 --> 0:19:06.520
<v Speaker 4>theme has been bidnomics. So you know, that was big

0:19:06.560 --> 0:19:12.320
<v Speaker 4>on electrification and infrastructure spending and generally fading the idea

0:19:12.480 --> 0:19:14.680
<v Speaker 4>that we could have a recession when fiscal policy is

0:19:14.720 --> 0:19:19.560
<v Speaker 4>spending like a drunken sailor. And we said, okay, well,

0:19:19.600 --> 0:19:22.040
<v Speaker 4>now we need some kind of offsetting beta. Here, we

0:19:22.080 --> 0:19:27.160
<v Speaker 4>need some Trump beta. And there are these orphan equities

0:19:27.200 --> 0:19:30.320
<v Speaker 4>like Fannie May and Freddie Mack. And you know, I

0:19:30.320 --> 0:19:32.040
<v Speaker 4>looked at the story and I said, I don't think

0:19:32.080 --> 0:19:33.560
<v Speaker 4>that that's going to happen. He didn't do it the

0:19:33.600 --> 0:19:36.360
<v Speaker 4>first time, but it doesn't matter because it's a story.

0:19:36.640 --> 0:19:39.320
<v Speaker 4>So people are going to take action based on that story.

0:19:39.840 --> 0:19:44.320
<v Speaker 4>Then looking at things like private prisons and law enforcement.

0:19:44.480 --> 0:19:46.719
<v Speaker 2>I remember that from twenty sixteen that was like a

0:19:46.720 --> 0:19:48.159
<v Speaker 2>big Trump winner.

0:19:48.440 --> 0:19:50.800
<v Speaker 4>Yeah, and that but that was when I was kind

0:19:50.840 --> 0:19:54.000
<v Speaker 4>of looking at this. That I think was the first

0:19:54.000 --> 0:19:56.119
<v Speaker 4>place that I start is basically sell side research is

0:19:56.200 --> 0:20:01.119
<v Speaker 4>to see what is being said. And there were a

0:20:01.160 --> 0:20:04.840
<v Speaker 4>lot of kind of well, here's how you know, these

0:20:04.840 --> 0:20:07.159
<v Speaker 4>equities performed when Trump was president, and here's how they

0:20:07.200 --> 0:20:09.760
<v Speaker 4>performed when Biden was president. And if you go into

0:20:10.160 --> 0:20:13.120
<v Speaker 4>anything like that with that kind of thinking where you're

0:20:13.160 --> 0:20:15.520
<v Speaker 4>just overfitting to like two periods of time, I mean

0:20:15.800 --> 0:20:18.280
<v Speaker 4>when Biden was elected, if you had that kind of thinking,

0:20:18.320 --> 0:20:22.040
<v Speaker 4>you would have went long clean energy right in short

0:20:22.240 --> 0:20:25.719
<v Speaker 4>and short oil, and you would have gotten destroyed because like,

0:20:25.880 --> 0:20:27.560
<v Speaker 4>no matter who's the president, there are going to be

0:20:27.560 --> 0:20:29.520
<v Speaker 4>bear of force as at work, so you really have

0:20:29.600 --> 0:20:32.240
<v Speaker 4>to try to specify and get rid of as much

0:20:33.119 --> 0:20:38.440
<v Speaker 4>incongruous kind of correlation. So names like Axin or GEO

0:20:38.560 --> 0:20:43.040
<v Speaker 4>Group or you know, Corcivic, those will probably benefit. I

0:20:43.080 --> 0:20:44.879
<v Speaker 4>had kind of a fun one that was a company

0:20:44.880 --> 0:20:49.119
<v Speaker 4>that makes the storefront glass for retail stores, because I figured,

0:20:49.119 --> 0:20:50.840
<v Speaker 4>no matter who wins this election, there's going to be

0:20:50.880 --> 0:20:51.639
<v Speaker 4>people that are angry.

0:20:54.320 --> 0:20:56.879
<v Speaker 5>It's funny you mentioned fan you may equity because it

0:20:56.960 --> 0:20:59.800
<v Speaker 5>still exists there. It's like a cockroach. But I've always

0:20:59.840 --> 0:21:02.040
<v Speaker 5>though it's like the Boomer's crypto.

0:21:02.160 --> 0:21:02.760
<v Speaker 4>It's like that.

0:21:02.840 --> 0:21:04.600
<v Speaker 3>It's like if you look at like there is.

0:21:04.560 --> 0:21:07.880
<v Speaker 5>A Fanny and Freddy Twitter, Yeah, and it's like they

0:21:08.200 --> 0:21:09.840
<v Speaker 5>talk the same way that people are talking about the

0:21:09.920 --> 0:21:10.760
<v Speaker 5>random token.

0:21:10.520 --> 0:21:12.879
<v Speaker 4>But their money spends just as well, right, and it

0:21:12.920 --> 0:21:18.840
<v Speaker 4>moves the bid up. Yeah. So I think that I

0:21:18.920 --> 0:21:22.679
<v Speaker 4>came into this year all prepared, Right, here's how the

0:21:22.680 --> 0:21:25.160
<v Speaker 4>basket is going to look. The thing that really made

0:21:25.160 --> 0:21:27.520
<v Speaker 4>me the most satisfied about this, I mean, the basket

0:21:27.600 --> 0:21:30.000
<v Speaker 4>has done quite well because Trump odds went from twenty

0:21:30.000 --> 0:21:32.080
<v Speaker 4>percent of being the nominee to you know, sixty three

0:21:32.119 --> 0:21:33.200
<v Speaker 4>percent of being the president.

0:21:33.320 --> 0:21:33.720
<v Speaker 3>Uh huh.

0:21:33.760 --> 0:21:37.439
<v Speaker 4>And the performances tracked that pretty well. And there are

0:21:37.440 --> 0:21:41.359
<v Speaker 4>a few other aspects of that basket, but the thing

0:21:41.480 --> 0:21:44.359
<v Speaker 4>that obviously didn't make me happy because something that I

0:21:44.400 --> 0:21:48.000
<v Speaker 4>owned went down. But right after that debate, which I think,

0:21:48.119 --> 0:21:51.280
<v Speaker 4>you know, there were a lot of people that were

0:21:51.280 --> 0:21:53.800
<v Speaker 4>surprised by that, And I guess you could if you

0:21:53.800 --> 0:21:57.440
<v Speaker 4>were drawing a chart of like should I be concerned

0:21:57.440 --> 0:21:59.600
<v Speaker 4>about Biden's performance in a debate after the State of

0:21:59.600 --> 0:22:01.480
<v Speaker 4>the Union, and you you know, maybe you had some

0:22:01.600 --> 0:22:04.320
<v Speaker 4>moments where like he's talking about you know, where's that

0:22:04.440 --> 0:22:07.639
<v Speaker 4>lady that and the lady died three weeks ago or something,

0:22:07.760 --> 0:22:08.880
<v Speaker 4>or or you know.

0:22:08.880 --> 0:22:11.040
<v Speaker 3>That there were signs, there were.

0:22:10.920 --> 0:22:14.640
<v Speaker 4>Signs, but you know, I wasn't necessarily surprised by that.

0:22:15.040 --> 0:22:18.240
<v Speaker 4>And when that happened, the Bidenomics basket, you know, goes

0:22:18.320 --> 0:22:21.560
<v Speaker 4>down by five percent, and then the Trump basket goes

0:22:21.600 --> 0:22:25.520
<v Speaker 4>up by ten, and you know, that's kind of reinforcing

0:22:25.560 --> 0:22:27.520
<v Speaker 4>where it shows you that you know, you're not just

0:22:27.600 --> 0:22:31.200
<v Speaker 4>riding beta, You've been allocated to the right thing.

0:22:31.640 --> 0:22:35.720
<v Speaker 2>I was going to ask, how you wait those respective baskets,

0:22:35.800 --> 0:22:38.480
<v Speaker 2>like a Biden long short basket versus a Trump long

0:22:38.520 --> 0:22:41.760
<v Speaker 2>short basket, but maybe maybe you equal weight it and

0:22:41.800 --> 0:22:44.399
<v Speaker 2>then the returns are asymmetric as you just mentioned.

0:22:44.560 --> 0:22:47.639
<v Speaker 4>Yeah, there's some discretionary aspect where I think that you know,

0:22:47.720 --> 0:22:51.120
<v Speaker 4>something matters more than or that investors are paying more attention,

0:22:51.200 --> 0:22:54.040
<v Speaker 4>you know, don't. I didn't think back in March that

0:22:54.800 --> 0:22:57.520
<v Speaker 4>this tariff aspect was getting as much attention. I figured

0:22:57.520 --> 0:22:59.439
<v Speaker 4>that would kind of progress and get more attention as

0:22:59.440 --> 0:23:02.800
<v Speaker 4>the year went on, as Trump said more about trade policy,

0:23:03.240 --> 0:23:06.360
<v Speaker 4>whereas something that's you know, as first order thinking, as

0:23:06.640 --> 0:23:08.400
<v Speaker 4>you know, if Trump's president, We're going to need more

0:23:08.520 --> 0:23:11.600
<v Speaker 4>you know, border prisons or you know that. So the

0:23:11.640 --> 0:23:15.880
<v Speaker 4>waiting kind of changes throughout the course of the narrative progressing.

0:23:17.359 --> 0:23:19.879
<v Speaker 5>It's kind of weird, like going back to if we

0:23:19.960 --> 0:23:23.560
<v Speaker 5>had a one hundred percent teariff on imported goods, and

0:23:23.640 --> 0:23:25.880
<v Speaker 5>this is a little bit of a sidetrack. I feel

0:23:25.920 --> 0:23:28.679
<v Speaker 5>like that would be incredibly disruptive to the way we

0:23:28.760 --> 0:23:31.120
<v Speaker 5>do economics in this country. And I don't have any

0:23:31.119 --> 0:23:33.000
<v Speaker 5>opinion on whether it be good or bad. I'll leave

0:23:33.040 --> 0:23:35.160
<v Speaker 5>that to others. It is sort of funny to think

0:23:35.240 --> 0:23:38.160
<v Speaker 5>we're going to have this big teariff, this big change

0:23:38.200 --> 0:23:40.280
<v Speaker 5>and how we interact with the world, and so we're

0:23:40.320 --> 0:23:43.240
<v Speaker 5>just going to take it all out on you know,

0:23:43.320 --> 0:23:45.919
<v Speaker 5>five billion dollar company five below. Like, I just have

0:23:46.000 --> 0:23:49.720
<v Speaker 5>a feeling that if we did have this wholesale orientation

0:23:49.800 --> 0:23:51.919
<v Speaker 5>of how we trade, like, they're not going to be

0:23:51.920 --> 0:23:53.760
<v Speaker 5>the only company that no effects.

0:23:54.600 --> 0:23:57.640
<v Speaker 4>And I think when people kind of look at when

0:23:57.680 --> 0:24:00.800
<v Speaker 4>I share my portfolio with people, which you know, I

0:24:00.840 --> 0:24:02.760
<v Speaker 4>know some people are kind of neurotic about that, but

0:24:02.800 --> 0:24:04.919
<v Speaker 4>I'm not big enough to where I think that someone's

0:24:04.920 --> 0:24:07.080
<v Speaker 4>going to, you know, attack me. But when I show

0:24:07.080 --> 0:24:09.760
<v Speaker 4>my portfolio to people, they are kind of taken aback

0:24:09.800 --> 0:24:11.960
<v Speaker 4>by how many securities are in there. But the way

0:24:12.000 --> 0:24:14.360
<v Speaker 4>that I view it is, you know, I have diversification

0:24:14.440 --> 0:24:17.200
<v Speaker 4>at the security level, but I'm very concentrated in.

0:24:17.200 --> 0:24:18.800
<v Speaker 3>These themes in the somatic level.

0:24:18.880 --> 0:24:23.000
<v Speaker 4>Yeah, so like GLP ones might make up fifteen to

0:24:23.040 --> 0:24:25.760
<v Speaker 4>twenty percent of the portfolio, but it's not just Lily

0:24:25.880 --> 0:24:28.600
<v Speaker 4>and it's not just Novo Nordisk. It's also you know,

0:24:29.119 --> 0:24:32.960
<v Speaker 4>something like Torrid, which is a woman's kind of fashion

0:24:33.080 --> 0:24:34.520
<v Speaker 4>for plus size clothing.

0:24:34.640 --> 0:24:35.880
<v Speaker 2>Oh, you would be short that one.

0:24:36.000 --> 0:24:38.920
<v Speaker 4>No, So well think about it, right, you don't teleport

0:24:38.920 --> 0:24:44.520
<v Speaker 4>your weight if you're three hundred pounds and you go

0:24:44.600 --> 0:24:48.760
<v Speaker 4>down six sizes. First off, you're happy that you're losing weight, right,

0:24:48.960 --> 0:24:51.199
<v Speaker 4>so you want to show off, show that off, but

0:24:51.280 --> 0:24:52.359
<v Speaker 4>you're still plus sized.

0:24:52.480 --> 0:24:54.080
<v Speaker 2>Oh I see, Okay, so you're.

0:24:53.880 --> 0:24:55.560
<v Speaker 4>Buying clothes the whole way down.

0:24:55.800 --> 0:24:56.080
<v Speaker 2>Ah.

0:24:56.440 --> 0:24:58.359
<v Speaker 4>And then there is in fact, you know, like this

0:24:58.480 --> 0:25:00.719
<v Speaker 4>is like well documented, there is a re bound effect

0:25:01.240 --> 0:25:06.360
<v Speaker 4>from GLP one drugs. If you stop them, you regain

0:25:06.520 --> 0:25:07.320
<v Speaker 4>a portion of the weight.

0:25:07.560 --> 0:25:10.840
<v Speaker 2>Oh so it's actually like the weight fluctuation that matters here.

0:25:10.920 --> 0:25:14.399
<v Speaker 4>Okay. I mean, if you know anyone that's overweight that

0:25:15.240 --> 0:25:18.439
<v Speaker 4>struggled with their weight, they have these closets full of

0:25:18.560 --> 0:25:21.639
<v Speaker 4>just you know, various sizes of clothes. So you know

0:25:21.720 --> 0:25:26.800
<v Speaker 4>that the general idea is applying second order thinking to

0:25:26.920 --> 0:25:30.120
<v Speaker 4>capture a theme in not just the most obvious way,

0:25:30.119 --> 0:25:31.840
<v Speaker 4>because that's going to be the most crowded way. And

0:25:31.880 --> 0:25:36.399
<v Speaker 4>that's that's like I said before, you really want to

0:25:36.440 --> 0:25:39.960
<v Speaker 4>try to not just have this be story based trend

0:25:40.000 --> 0:25:40.399
<v Speaker 4>of following.

0:25:41.240 --> 0:25:44.399
<v Speaker 2>Wait, I love talking about second order effects and I

0:25:44.400 --> 0:25:47.440
<v Speaker 2>have a bunch of favorite examples that I have probably

0:25:47.440 --> 0:25:49.840
<v Speaker 2>said on this podcast before. So I'll spare all our

0:25:49.880 --> 0:25:53.359
<v Speaker 2>listeners from repeating those. But do you have a favorite

0:25:53.480 --> 0:25:54.960
<v Speaker 2>sort of second order play.

0:25:55.080 --> 0:25:56.159
<v Speaker 4>I want to hear yours first.

0:25:56.720 --> 0:26:00.160
<v Speaker 2>Well, the one I always think about, Well, there's the

0:26:00.160 --> 0:26:03.680
<v Speaker 2>gummy Bear one, and then there's also like the Sawdust one,

0:26:03.800 --> 0:26:06.399
<v Speaker 2>Gummy Bear. Hold on, I'm gonna have to look this up.

0:26:06.480 --> 0:26:07.560
<v Speaker 3>No, I remember what it was.

0:26:08.240 --> 0:26:10.080
<v Speaker 2>Do you remember the gummy bear one? Do you remember

0:26:10.119 --> 0:26:10.560
<v Speaker 2>both of them?

0:26:10.680 --> 0:26:10.880
<v Speaker 1>Yeah?

0:26:11.000 --> 0:26:13.360
<v Speaker 3>Okay, well I don't remember the sawdust one. I'll look

0:26:13.400 --> 0:26:16.120
<v Speaker 3>up the chickens or something like that. And there wasn't

0:26:16.280 --> 0:26:18.520
<v Speaker 3>cows in milk, right, So after the.

0:26:18.480 --> 0:26:21.000
<v Speaker 5>Housing bus, then there wasn't enough wood and there wasn't

0:26:21.040 --> 0:26:23.239
<v Speaker 5>enough sawdust, and that wasn't good for cows. And then

0:26:23.280 --> 0:26:24.680
<v Speaker 5>that was so there was less milk.

0:26:25.080 --> 0:26:27.600
<v Speaker 2>So no one would have expected as a result of

0:26:27.640 --> 0:26:30.000
<v Speaker 2>the two thousand and eight housing collapse that you would

0:26:30.040 --> 0:26:32.880
<v Speaker 2>see milk prices go up because there was less milk.

0:26:33.080 --> 0:26:35.840
<v Speaker 2>But apparently that's what happened. Because the cows didn't have

0:26:35.880 --> 0:26:38.840
<v Speaker 2>as much sawdust, they weren't as comfortable, they weren't as productive,

0:26:39.240 --> 0:26:41.680
<v Speaker 2>and so there was less milk. And then what was

0:26:41.720 --> 0:26:42.439
<v Speaker 2>the gummy bear.

0:26:42.440 --> 0:26:43.320
<v Speaker 3>Gummy Bear one?

0:26:43.760 --> 0:26:46.680
<v Speaker 5>Was that this is what someone told us that due

0:26:46.720 --> 0:26:49.760
<v Speaker 5>to the collapse an auto production during the pandemic, that

0:26:49.840 --> 0:26:52.720
<v Speaker 5>there wasn't as much demand for leather for the seating,

0:26:52.960 --> 0:26:55.439
<v Speaker 5>and that a lot of the I guess gelatine that

0:26:55.600 --> 0:26:58.439
<v Speaker 5>was needed for gummy bears came out of that supply

0:26:58.560 --> 0:27:01.000
<v Speaker 5>chain or something like that, so it affected gummy bear

0:27:01.040 --> 0:27:03.000
<v Speaker 5>production when the chip stopped coming.

0:27:04.119 --> 0:27:05.959
<v Speaker 4>I mean, I would love to meet the person that

0:27:06.160 --> 0:27:10.320
<v Speaker 4>predicted that. Yeah, right, right, if you. And so when

0:27:10.359 --> 0:27:13.360
<v Speaker 4>it comes to what I do, there is kind of

0:27:13.400 --> 0:27:17.480
<v Speaker 4>like a you get kind of deferred in your ability

0:27:17.480 --> 0:27:20.240
<v Speaker 4>to be like, yeah, called it, you know, because I

0:27:20.240 --> 0:27:23.720
<v Speaker 4>don't forego security analysis entirely. I don't, you know, I

0:27:23.800 --> 0:27:25.840
<v Speaker 4>make sure that if I'm shorting a company that it's

0:27:25.840 --> 0:27:27.679
<v Speaker 4>a bad company, or if I'm buying a company, that

0:27:27.680 --> 0:27:31.399
<v Speaker 4>it's mispriced and you know that it has upside. So

0:27:31.520 --> 0:27:34.800
<v Speaker 4>you never really know for sure. And sometimes even you know,

0:27:35.119 --> 0:27:37.720
<v Speaker 4>they'll get on the earnings call, especially if it's like

0:27:37.760 --> 0:27:40.800
<v Speaker 4>a short and you know what or you think you

0:27:40.920 --> 0:27:43.439
<v Speaker 4>know why it went down. You know, this is like

0:27:43.480 --> 0:27:44.840
<v Speaker 4>the last time I was on, we talked about the

0:27:44.840 --> 0:27:49.919
<v Speaker 4>Titan Stabler. Oh yeah, right, And obviously they eventually started saying, well,

0:27:50.520 --> 0:27:52.600
<v Speaker 4>this probably has to do with those weight loss drugs.

0:27:52.640 --> 0:27:54.360
<v Speaker 4>But you know, in the beginning, when it's going down

0:27:54.359 --> 0:27:56.920
<v Speaker 4>and when the company's you know, seeing decreased revenue, sometimes

0:27:56.960 --> 0:27:58.600
<v Speaker 4>it takes them a little bit to like realize what's

0:27:58.640 --> 0:28:01.040
<v Speaker 4>going on, and sometimes they never do.

0:28:01.280 --> 0:28:01.480
<v Speaker 1>You know.

0:28:01.640 --> 0:28:04.639
<v Speaker 2>Well, I remember that about restoration hardware too, because it

0:28:04.920 --> 0:28:07.520
<v Speaker 2>started going down like a year or two ago, and

0:28:07.560 --> 0:28:10.920
<v Speaker 2>people were worried about like, oh, this is a recessionary signal.

0:28:11.400 --> 0:28:14.760
<v Speaker 2>And I remember seeing this online and basically saying like, well,

0:28:14.760 --> 0:28:17.880
<v Speaker 2>maybe it has more to do about with restoration hardware

0:28:17.960 --> 0:28:23.639
<v Speaker 2>specific things and issues there rather than macroeconomic conditions. And

0:28:23.680 --> 0:28:26.120
<v Speaker 2>people went nuts. But that's exactly what it was, right,

0:28:26.160 --> 0:28:29.480
<v Speaker 2>Like the renovation boom and the furniture boom continued for

0:28:29.680 --> 0:28:30.480
<v Speaker 2>some time after that.

0:28:30.800 --> 0:28:33.719
<v Speaker 4>Restoration hardware, Yeah, it wasn't a recessionary signal, but there

0:28:33.760 --> 0:28:35.760
<v Speaker 4>is a great signal to be had in the story

0:28:35.800 --> 0:28:38.360
<v Speaker 4>of restoration hardware, which is if you own a company

0:28:38.800 --> 0:28:40.920
<v Speaker 4>and the CEO starts coming on and spends half the

0:28:40.960 --> 0:28:43.800
<v Speaker 4>earnings call talking about macroeconomics, Oh yeah, sell that.

0:28:43.960 --> 0:28:45.360
<v Speaker 2>God, that's a bad sign.

0:28:45.640 --> 0:28:47.600
<v Speaker 5>That's a good yeah that It was like a famous

0:28:47.640 --> 0:28:49.880
<v Speaker 5>conference call, and it was right in twenty twenty one,

0:28:50.240 --> 0:28:52.600
<v Speaker 5>and it was sort of like an equivalent of although

0:28:52.640 --> 0:28:54.920
<v Speaker 5>one of the best moments on TV. Ever, like the

0:28:55.040 --> 0:28:57.440
<v Speaker 5>Kramer they are nuts or whatever, They're blind at the

0:28:57.480 --> 0:28:59.640
<v Speaker 5>FED in two thousand and six or seven about Bear

0:28:59.680 --> 0:29:01.560
<v Speaker 5>Stearns and he went on, He's like, they have no.

0:29:01.520 --> 0:29:03.360
<v Speaker 3>Idea what's coming on recession. Recession.

0:29:03.400 --> 0:29:05.680
<v Speaker 5>A bunch of people took that seriously, but it seemed

0:29:05.680 --> 0:29:08.440
<v Speaker 5>like a restoration hardware story, and then the rest of

0:29:08.480 --> 0:29:10.000
<v Speaker 5>the economy just kept chugging along.

0:29:11.480 --> 0:29:15.520
<v Speaker 2>Wait, there are times when uncertainty kind of rears its

0:29:15.600 --> 0:29:20.200
<v Speaker 2>ugly head and does wreck some investment theses. Maybe wreck

0:29:20.320 --> 0:29:22.600
<v Speaker 2>is a strong word, but I know you were, for instance,

0:29:22.920 --> 0:29:27.200
<v Speaker 2>looking into how to play water and water shortages in

0:29:27.280 --> 0:29:30.680
<v Speaker 2>the future. But lo and behold, a couple of weeks ago,

0:29:31.200 --> 0:29:34.520
<v Speaker 2>the Supreme Court made a decision having to do with

0:29:34.640 --> 0:29:39.400
<v Speaker 2>something called the Chevron deference that seems to have caused

0:29:39.400 --> 0:29:42.719
<v Speaker 2>additional uncertainty for that particular thesis. Can you walk us

0:29:42.720 --> 0:29:43.680
<v Speaker 2>through what happened there?

0:29:44.240 --> 0:29:47.760
<v Speaker 4>Well? First off, water in the realm of thematic equity,

0:29:48.240 --> 0:29:51.880
<v Speaker 4>water is waterloo kind of it's this battle that it's

0:29:51.960 --> 0:29:55.000
<v Speaker 4>always a good idea to be long water. If you

0:29:55.000 --> 0:29:57.520
<v Speaker 4>think the GDP is going to go up, unless you're

0:29:57.560 --> 0:30:00.200
<v Speaker 4>in China, where water use has actually declined as VP

0:30:00.320 --> 0:30:02.520
<v Speaker 4>has gone up because they've been really serious about efficiency.

0:30:02.560 --> 0:30:06.480
<v Speaker 4>But the idea is, if you buy water, you're never

0:30:06.560 --> 0:30:09.480
<v Speaker 4>really going to blow up, you know, unless like really,

0:30:09.520 --> 0:30:12.880
<v Speaker 4>unless it's like global financial crisis. You'll be pretty safe.

0:30:13.000 --> 0:30:16.280
<v Speaker 4>You can. There's always going to be some doom and

0:30:16.280 --> 0:30:18.440
<v Speaker 4>gloom about water. So if you get on the phone

0:30:18.440 --> 0:30:20.280
<v Speaker 4>with an investor, you can say, well, we own water

0:30:20.360 --> 0:30:23.640
<v Speaker 4>because of you know, here's this big report from whatever.

0:30:23.720 --> 0:30:26.400
<v Speaker 4>You know. The end it says that you know, water

0:30:26.480 --> 0:30:28.680
<v Speaker 4>scarcity and this then and the other thing, and you

0:30:28.720 --> 0:30:30.800
<v Speaker 4>ever see well, you guys, obviously have you've seen the

0:30:30.800 --> 0:30:33.120
<v Speaker 4>movie The Big Short? Correct? Yes, so you know how

0:30:33.120 --> 0:30:35.920
<v Speaker 4>that movie ends the last scene less?

0:30:35.960 --> 0:30:38.120
<v Speaker 5>Oh yeah, And I didn't understand it. It was like

0:30:38.160 --> 0:30:42.120
<v Speaker 5>these like title cards and they're like next Water and

0:30:42.120 --> 0:30:43.560
<v Speaker 5>then it faced them like I was like yeah, and

0:30:43.560 --> 0:30:45.680
<v Speaker 5>then he's like oh and he's buying Almond Firms and

0:30:45.720 --> 0:30:47.680
<v Speaker 5>I was like they like left it hanging. I was like, yeah,

0:30:47.840 --> 0:30:50.360
<v Speaker 5>what's the I didn't get it. That was Michael Burry

0:30:50.760 --> 0:30:54.320
<v Speaker 5>Michael and now Next Water Firms and then they fade

0:30:54.320 --> 0:30:56.040
<v Speaker 5>to black we're just ending to a movie.

0:30:56.040 --> 0:30:58.160
<v Speaker 4>Ever, so yeah, I think like when the levee breaks

0:30:58.240 --> 0:31:01.080
<v Speaker 4>is playing in the background, and you know, but it's

0:31:01.160 --> 0:31:04.640
<v Speaker 4>really dramatic, right, Michael Burry that you know, our protagonist

0:31:05.520 --> 0:31:10.680
<v Speaker 4>is only investing in one thing, ellipses water. Yeah, And

0:31:10.960 --> 0:31:13.320
<v Speaker 4>you know that's the way that this thesis has kind

0:31:13.320 --> 0:31:17.480
<v Speaker 4>of been presented for decades, where it's this kind of

0:31:17.520 --> 0:31:20.160
<v Speaker 4>apocalyptic you have. You have this idea in your head

0:31:20.160 --> 0:31:23.120
<v Speaker 4>where I mean everybody has this, and it's like an

0:31:23.240 --> 0:31:26.920
<v Speaker 4>evolutionary fear. The water has to be okay, the water

0:31:27.000 --> 0:31:28.320
<v Speaker 4>quality has to be okay, and there has to be

0:31:28.400 --> 0:31:31.640
<v Speaker 4>enough of it or else we can't do anything. So

0:31:32.680 --> 0:31:36.120
<v Speaker 4>it's always been that kind of thing. And I really

0:31:37.680 --> 0:31:40.640
<v Speaker 4>didn't want to just write about water because it's like, well,

0:31:40.680 --> 0:31:42.160
<v Speaker 4>you know, here's what's going on with water. So I

0:31:42.160 --> 0:31:46.000
<v Speaker 4>wanted to focus on the non apocalyptic parts. And I

0:31:46.000 --> 0:31:48.680
<v Speaker 4>don't want to buy anything because of pessimism. I want

0:31:48.680 --> 0:31:55.160
<v Speaker 4>to you know. And what had happened was these microplastics,

0:31:55.280 --> 0:31:59.720
<v Speaker 4>these forever chemicals. The EPA handed down a law that

0:32:00.040 --> 0:32:03.560
<v Speaker 4>mandated that you have to control the level of microplastics

0:32:03.600 --> 0:32:07.360
<v Speaker 4>serve as their you know, p fas, right, so I

0:32:07.400 --> 0:32:10.840
<v Speaker 4>spoke with people in the industry, and everyone is really

0:32:11.040 --> 0:32:14.480
<v Speaker 4>really excite. If you are in the business of you know,

0:32:14.600 --> 0:32:19.240
<v Speaker 4>remediation or you know, making sure that the water is clean,

0:32:19.440 --> 0:32:22.240
<v Speaker 4>you were really excited about this and probably still are.

0:32:23.880 --> 0:32:28.240
<v Speaker 4>But the thing about thematic investing is that uncertainty is

0:32:28.360 --> 0:32:32.920
<v Speaker 4>kind of anathema to it. Where people want to buy

0:32:33.040 --> 0:32:37.600
<v Speaker 4>on a story. You know that drugn Miller quote. I

0:32:37.640 --> 0:32:39.440
<v Speaker 4>made one hundred and twenty percent of my money on

0:32:39.480 --> 0:32:42.400
<v Speaker 4>the simple obvious ideas and lost twenty percent on everything else.

0:32:42.880 --> 0:32:45.920
<v Speaker 4>And that's kind of the way that I viewed these

0:32:46.000 --> 0:32:49.600
<v Speaker 4>themes where you want this cultural touchstone. You want everyone

0:32:49.640 --> 0:32:52.080
<v Speaker 4>to realize that, oh, this is going to be big,

0:32:52.360 --> 0:32:54.080
<v Speaker 4>this is a big deal. And whether that's you know,

0:32:54.240 --> 0:32:57.120
<v Speaker 4>in a niche area or in a wide ranging area,

0:32:57.200 --> 0:32:59.920
<v Speaker 4>that is less important. But it has to have that moment.

0:33:00.360 --> 0:33:03.720
<v Speaker 4>And when you have something that adds uncertainty, even if

0:33:03.760 --> 0:33:06.959
<v Speaker 4>you disagree. Right when it comes to what happened with

0:33:07.240 --> 0:33:10.920
<v Speaker 4>the Chevron deference, in the simplest possible terms, basically the

0:33:11.040 --> 0:33:19.160
<v Speaker 4>stated policy has been for the judiciary to defer to experts.

0:33:19.720 --> 0:33:23.800
<v Speaker 4>So if you have you know, yes, exactly, and obviously

0:33:23.880 --> 0:33:26.880
<v Speaker 4>the campus small government doesn't love this because they view

0:33:26.960 --> 0:33:29.520
<v Speaker 4>this as you know, unelected technocrats that are kind of

0:33:29.560 --> 0:33:33.719
<v Speaker 4>driving policy. And what happened with Chevron defference was for

0:33:33.760 --> 0:33:36.680
<v Speaker 4>a long time, if you have the EPA saying no,

0:33:36.840 --> 0:33:39.960
<v Speaker 4>this is bad, they would say, okay, yeah, probably you know,

0:33:41.120 --> 0:33:44.200
<v Speaker 4>you know more than I do. Now with this ruling,

0:33:44.360 --> 0:33:46.960
<v Speaker 4>that is not the case anymore, right, and that has

0:33:47.240 --> 0:33:51.680
<v Speaker 4>wide ranging impacts that I don't know because I am

0:33:51.720 --> 0:33:53.040
<v Speaker 4>not an attorney.

0:33:53.720 --> 0:33:56.680
<v Speaker 5>And so the basic gist with water here is that, okay,

0:33:56.680 --> 0:33:59.320
<v Speaker 5>there was a theme, not the apocalypse and of water,

0:33:59.360 --> 0:34:03.080
<v Speaker 5>but this assistant demand for water cleaning due to microplastics.

0:34:03.320 --> 0:34:04.840
<v Speaker 3>The EPA had put down this.

0:34:04.840 --> 0:34:09.160
<v Speaker 5>Rule, and the Chevron ruling by the Supreme Court raises

0:34:09.239 --> 0:34:12.560
<v Speaker 5>ambiguity about the teeth of that, or the enforceability or

0:34:12.560 --> 0:34:14.840
<v Speaker 5>the persistence of that. And this is the kind of

0:34:14.840 --> 0:34:17.040
<v Speaker 5>thing that's toxic to a thematic investor.

0:34:17.200 --> 0:34:20.560
<v Speaker 4>Yeah, and you know, I still believe that that thesis

0:34:20.560 --> 0:34:23.120
<v Speaker 4>is fine. I mean, I look at it, and I've

0:34:23.200 --> 0:34:25.880
<v Speaker 4>spoken to attorneys and they say, well, you have these

0:34:25.880 --> 0:34:29.319
<v Speaker 4>two existing appeals, but this happened before the Chevron deference ruling,

0:34:29.440 --> 0:34:32.920
<v Speaker 4>so you have to track those appeals. But that's the

0:34:32.960 --> 0:34:35.719
<v Speaker 4>only thing that matters. This isn't going to change. You know,

0:34:36.080 --> 0:34:38.839
<v Speaker 4>whatever was going to happen before this ruling, that's what's

0:34:38.840 --> 0:34:43.080
<v Speaker 4>going to happen now. If those appeals are you know,

0:34:43.120 --> 0:34:47.680
<v Speaker 4>overturned or upheld, that's what matters. And I think that

0:34:47.719 --> 0:34:50.359
<v Speaker 4>it's still going to work. But the thing is, I

0:34:50.480 --> 0:34:53.799
<v Speaker 4>was playing this story and I'm playing the fact that

0:34:53.920 --> 0:34:56.640
<v Speaker 4>you know, like a week after I wrote about it

0:34:56.640 --> 0:34:58.880
<v Speaker 4>started becoming this like cultural thing. You see these memes

0:34:58.920 --> 0:35:02.480
<v Speaker 4>on Twitter about like microplastics and.

0:35:02.760 --> 0:35:05.799
<v Speaker 2>In certain parts of the Male anatomy, Yeah, this goes

0:35:05.800 --> 0:35:08.160
<v Speaker 2>on the radio. So I think we can't say yeah, I.

0:35:08.080 --> 0:35:10.319
<v Speaker 4>Mean, I stop myself. You're the one that said it.

0:35:11.280 --> 0:35:14.239
<v Speaker 4>But you know, it's the idea where nobody can be

0:35:14.280 --> 0:35:18.440
<v Speaker 4>okay with the water. And there's always been an issue

0:35:18.480 --> 0:35:23.919
<v Speaker 4>of payers like to see things. They like to pay

0:35:23.960 --> 0:35:26.040
<v Speaker 4>for things that they can see, so they like to

0:35:26.040 --> 0:35:28.040
<v Speaker 4>pay for the roads being fixed, or they like to

0:35:28.040 --> 0:35:30.759
<v Speaker 4>pay for like new things being built, but you don't

0:35:30.760 --> 0:35:34.040
<v Speaker 4>really see the water. But with social media and the

0:35:34.080 --> 0:35:37.400
<v Speaker 4>idea that you can make everyone aware of like microplastics,

0:35:37.400 --> 0:35:41.320
<v Speaker 4>and there's so many emerging contaminants out there just from

0:35:41.800 --> 0:35:47.360
<v Speaker 4>you know, the on a bashed capitalists, progress and industry.

0:35:47.440 --> 0:35:50.839
<v Speaker 4>So I still think that there will be companies that

0:35:50.920 --> 0:35:54.600
<v Speaker 4>will make a lot more money because of pfas. But

0:35:54.640 --> 0:35:57.160
<v Speaker 4>for now I have to say, well, I don't know

0:35:57.200 --> 0:35:59.359
<v Speaker 4>if the risk is worth the reward here. Maybe I'll

0:35:59.400 --> 0:36:02.279
<v Speaker 4>just wait until these appeals are decided and then the

0:36:02.320 --> 0:36:14.160
<v Speaker 4>story can progress.

0:36:19.160 --> 0:36:20.600
<v Speaker 5>I want to talk a little bit more about the

0:36:20.640 --> 0:36:23.839
<v Speaker 5>AI story where we started, and so, first of all,

0:36:24.239 --> 0:36:26.799
<v Speaker 5>Druck and Miller, there were two instances in the last year.

0:36:26.880 --> 0:36:28.719
<v Speaker 5>I was just like, so he said something about like

0:36:29.080 --> 0:36:31.640
<v Speaker 5>Chad GPT came out. He knew that they were training

0:36:31.640 --> 0:36:33.319
<v Speaker 5>on in video chips and he went long in video

0:36:33.320 --> 0:36:35.400
<v Speaker 5>and killed it. And then there was the story of

0:36:35.520 --> 0:36:39.360
<v Speaker 5>Javier Mila having won in Argentina and claims that he

0:36:39.400 --> 0:36:43.480
<v Speaker 5>went on perplexity AI and should I invest with Argentina

0:36:43.520 --> 0:36:45.120
<v Speaker 5>and it gave him some ETFs and he bought them

0:36:45.120 --> 0:36:49.319
<v Speaker 5>and he did well. So much admiration for this sort

0:36:49.320 --> 0:36:53.440
<v Speaker 5>of simplistic thinking, and well done to him. But here, okay,

0:36:53.680 --> 0:36:56.719
<v Speaker 5>the sort of Chad GPT AI and video thing very

0:36:56.719 --> 0:37:00.640
<v Speaker 5>well known, and now there are all these questions about, Okay,

0:37:00.680 --> 0:37:04.200
<v Speaker 5>a lot of money is being spent on chips and electricity,

0:37:05.040 --> 0:37:07.480
<v Speaker 5>and is there going to be this payoff or will

0:37:07.560 --> 0:37:09.880
<v Speaker 5>who will get the payoff from that? How do you

0:37:10.080 --> 0:37:12.759
<v Speaker 5>think about that specific question outside of Apple and I

0:37:12.840 --> 0:37:16.040
<v Speaker 5>understand your argument about why they're in the position to

0:37:16.200 --> 0:37:21.480
<v Speaker 5>actually deliver valuable services in the broader world, businesses feeling

0:37:21.480 --> 0:37:23.640
<v Speaker 5>like they need an AI strategy or needing it to

0:37:23.680 --> 0:37:26.799
<v Speaker 5>like complement their software, how do you sort of begin

0:37:26.880 --> 0:37:27.680
<v Speaker 5>to answer that question.

0:37:28.200 --> 0:37:32.040
<v Speaker 4>Well, it seems like the question that you're asking really

0:37:32.080 --> 0:37:33.040
<v Speaker 4>is is it a bubble?

0:37:33.880 --> 0:37:36.719
<v Speaker 5>Well, there's two ways that it could be a bubble, right.

0:37:36.719 --> 0:37:39.040
<v Speaker 5>There could be people who are just overpaying for the

0:37:39.080 --> 0:37:41.319
<v Speaker 5>stock because they feel like I want to ride this wave,

0:37:41.719 --> 0:37:45.560
<v Speaker 5>or businesses overpaying for the capex because they think that

0:37:45.600 --> 0:37:47.680
<v Speaker 5>they need to do something with AI to be in

0:37:47.719 --> 0:37:49.520
<v Speaker 5>the game, and it turns out that maybe they don't.

0:37:49.880 --> 0:37:52.160
<v Speaker 5>So I'm actually kind of interested in the second one

0:37:52.200 --> 0:37:55.280
<v Speaker 5>of not whether there's an equity market bubble in AI,

0:37:55.640 --> 0:37:59.160
<v Speaker 5>but the question of whether the business investment which is

0:37:59.200 --> 0:38:03.920
<v Speaker 5>pouring into AI related things will materialize as results in

0:38:03.960 --> 0:38:05.200
<v Speaker 5>revenues for the company spend.

0:38:05.239 --> 0:38:07.520
<v Speaker 2>It's sort of the idea that Okay, everyone has to

0:38:07.560 --> 0:38:12.800
<v Speaker 2>develop their own in house AI offering to compete, but like, actually,

0:38:12.840 --> 0:38:15.000
<v Speaker 2>maybe in five years time we find that everyone just

0:38:15.040 --> 0:38:17.920
<v Speaker 2>buys an off the shelf AI thing and plugs it

0:38:17.960 --> 0:38:21.160
<v Speaker 2>in like they do Microsoft Word or whatever, rather than

0:38:21.360 --> 0:38:23.520
<v Speaker 2>spend billions like on their own thing.

0:38:23.880 --> 0:38:27.440
<v Speaker 5>And whether the sort of quality of the services that

0:38:27.520 --> 0:38:30.040
<v Speaker 5>an AIOD could produce for the companies, whether it's a

0:38:30.040 --> 0:38:33.760
<v Speaker 5>software company like Salesforce or whatever it else, actually turns

0:38:33.800 --> 0:38:36.279
<v Speaker 5>out to be something valuable that they can resell and

0:38:36.440 --> 0:38:38.400
<v Speaker 5>get capture value from their end customers.

0:38:39.360 --> 0:38:44.520
<v Speaker 4>So I think the answer to your question, or at

0:38:44.560 --> 0:38:48.080
<v Speaker 4>least some color on that question, is I don't think

0:38:48.080 --> 0:38:53.279
<v Speaker 4>that there's ever been a truly revolutionary technology that has

0:38:53.360 --> 0:38:56.879
<v Speaker 4>not been accompanied by some excess capex that we look

0:38:56.920 --> 0:39:00.720
<v Speaker 4>back and we say, well, that was wasteful, right, because

0:39:01.000 --> 0:39:02.960
<v Speaker 4>when we look back, we also have the benefit of

0:39:03.000 --> 0:39:06.799
<v Speaker 4>seeing which areas get commoditized, and we look at how

0:39:06.880 --> 0:39:10.400
<v Speaker 4>cheap you know, whether it's broadband or you know, you

0:39:10.440 --> 0:39:14.120
<v Speaker 4>can go all the way back to the railwayman roads, Yeah, yeah,

0:39:14.400 --> 0:39:17.080
<v Speaker 4>you can. You know. The thing is, you know, without

0:39:17.120 --> 0:39:19.960
<v Speaker 4>steam engines, we wouldn't have trains, and without trains we

0:39:20.000 --> 0:39:23.440
<v Speaker 4>wouldn't have planes, and without you know, and there was

0:39:23.520 --> 0:39:27.759
<v Speaker 4>this progress that was made and it catapulted forward the

0:39:27.840 --> 0:39:32.279
<v Speaker 4>human race. But that doesn't necessarily mean that they were

0:39:32.480 --> 0:39:36.600
<v Speaker 4>responsible about it, right, that they built too much, they

0:39:36.760 --> 0:39:41.360
<v Speaker 4>built too fast, they financed capital projects through equity sales

0:39:41.400 --> 0:39:45.920
<v Speaker 4>at extremely elevated prices, and you know, I mean, but

0:39:46.080 --> 0:39:48.680
<v Speaker 4>that doesn't change the fact that during the railway Mania

0:39:49.040 --> 0:39:52.399
<v Speaker 4>the total route mileage of railways in the UK went

0:39:52.440 --> 0:39:56.040
<v Speaker 4>from you know, like eighteen hundred miles in eighteen forty

0:39:56.080 --> 0:39:59.520
<v Speaker 4>three to six thousand miles in eighteen fifty, so two

0:39:59.640 --> 0:40:03.400
<v Speaker 4>hundred increase in seven years. And you know, maybe we

0:40:03.480 --> 0:40:07.840
<v Speaker 4>have to ask ourselves sometimes, do you need this CAPEX

0:40:07.880 --> 0:40:10.879
<v Speaker 4>bubble in order to progress the technology?

0:40:11.080 --> 0:40:11.360
<v Speaker 3>Sure?

0:40:11.920 --> 0:40:15.880
<v Speaker 4>And I think that yeah, there are certainly areas, and

0:40:16.239 --> 0:40:20.719
<v Speaker 4>I don't think that we'll know exactly where we say

0:40:20.719 --> 0:40:23.000
<v Speaker 4>well that was irresponsible or where we say well that

0:40:23.080 --> 0:40:27.120
<v Speaker 4>was a great business decision because you look at you know,

0:40:27.160 --> 0:40:29.360
<v Speaker 4>it obviously is intertwined. You can say, well, I care

0:40:29.400 --> 0:40:30.920
<v Speaker 4>about the CABEC side, but I don't care about the

0:40:30.920 --> 0:40:33.640
<v Speaker 4>stock market side. But you know, the companies can sell

0:40:33.640 --> 0:40:37.200
<v Speaker 4>equity and fund cabex with that. And you look at

0:40:37.239 --> 0:40:42.880
<v Speaker 4>some of the cell side estimates on electricity for example,

0:40:43.480 --> 0:40:48.200
<v Speaker 4>and I have a great screenshot or actually it might

0:40:48.320 --> 0:40:50.360
<v Speaker 4>just be an actual picture because I think this was

0:40:50.400 --> 0:40:53.520
<v Speaker 4>in nineteen ninety eight or and it's of a cell

0:40:53.640 --> 0:40:57.680
<v Speaker 4>side report that is talking about the info electric revolution

0:40:58.239 --> 0:41:00.719
<v Speaker 4>and the fact that if everyone is going to have

0:41:00.760 --> 0:41:03.120
<v Speaker 4>a personal computer, and every personal computer is going to

0:41:03.120 --> 0:41:05.560
<v Speaker 4>be connected to the internet, well, you know, that's going

0:41:05.600 --> 0:41:08.440
<v Speaker 4>to be a billion dollars or a trillion dollars of

0:41:08.480 --> 0:41:10.480
<v Speaker 4>spending on computers, and then there's going to be a

0:41:10.480 --> 0:41:15.040
<v Speaker 4>trillion dollars of spending on the electric grid, and the

0:41:15.080 --> 0:41:17.240
<v Speaker 4>electricity demand is going to grow at a thirteen percent

0:41:17.280 --> 0:41:18.319
<v Speaker 4>keger for the next two days.

0:41:18.360 --> 0:41:19.360
<v Speaker 2>It sounds very familiar.

0:41:19.440 --> 0:41:21.560
<v Speaker 4>Yeah, yeah, it sounds super familiar. And then you look

0:41:21.560 --> 0:41:24.360
<v Speaker 4>at electricity demand over the last twenty years and it's flat.

0:41:25.440 --> 0:41:30.160
<v Speaker 4>And I think that that's just a natural progression of

0:41:30.160 --> 0:41:33.720
<v Speaker 4>a new technology. That's something that almost has to happen

0:41:33.800 --> 0:41:36.360
<v Speaker 4>where you have you know, if you want to deliver

0:41:36.480 --> 0:41:39.920
<v Speaker 4>the promise in certain places, it's going to be overstated.

0:41:39.960 --> 0:41:42.960
<v Speaker 4>And do we need a better electric grid? Yeah, we

0:41:43.400 --> 0:41:46.840
<v Speaker 4>really need better electric grid. It's it's terrible, especially in

0:41:46.880 --> 0:41:49.799
<v Speaker 4>some places, it's just terrible. Maybe what we need is

0:41:49.920 --> 0:41:52.480
<v Speaker 4>for data centers to get built in areas where they

0:41:52.480 --> 0:41:55.879
<v Speaker 4>can just revise the electric grid. But I do think

0:41:55.920 --> 0:41:58.520
<v Speaker 4>that there are areas where we'll look back and say

0:41:59.400 --> 0:42:01.120
<v Speaker 4>that was arissible cap E spending.

0:42:02.200 --> 0:42:05.160
<v Speaker 2>What would you need to see to take money off

0:42:05.360 --> 0:42:07.560
<v Speaker 2>the table from some of your AI plays or have

0:42:07.640 --> 0:42:08.400
<v Speaker 2>you done that already?

0:42:08.480 --> 0:42:10.960
<v Speaker 4>I'm always taking money off the table. It's not even

0:42:11.000 --> 0:42:14.760
<v Speaker 4>a question of like, I mean, my job is to invest,

0:42:15.040 --> 0:42:17.799
<v Speaker 4>not to not invest, and it takes a lot for

0:42:17.880 --> 0:42:21.360
<v Speaker 4>me to sell something and go to cash like a lot.

0:42:21.760 --> 0:42:24.680
<v Speaker 4>You know. I'm a strong believer that there's always an

0:42:24.719 --> 0:42:27.640
<v Speaker 4>opportunity somewhere. That got put to the test in twenty

0:42:27.680 --> 0:42:29.960
<v Speaker 4>twenty two, and there were there were opportunities in planning

0:42:29.960 --> 0:42:32.600
<v Speaker 4>places on the long side of the short side. And

0:42:33.800 --> 0:42:38.200
<v Speaker 4>I think that when I make that decision, I'm not

0:42:38.280 --> 0:42:40.840
<v Speaker 4>saying do I think that this has reached a peak.

0:42:41.200 --> 0:42:43.640
<v Speaker 4>I'm saying, do I think that there are better opportunities elsewhere?

0:42:44.040 --> 0:42:48.799
<v Speaker 4>And sometimes that is just the natural progression of some

0:42:49.120 --> 0:42:52.200
<v Speaker 4>a narrative in the market or just real things happening.

0:42:52.520 --> 0:42:55.960
<v Speaker 4>I mean, in Nvidia has pretty much priced in the

0:42:56.000 --> 0:42:58.680
<v Speaker 4>idea that we need to build out these data centers

0:42:59.120 --> 0:43:00.959
<v Speaker 4>and now we have to say, Okay, well what else

0:43:01.120 --> 0:43:04.239
<v Speaker 4>are we gonna do? And you know, I mean, it

0:43:04.280 --> 0:43:06.560
<v Speaker 4>doesn't matter if I'm a believer or non believer. It

0:43:06.600 --> 0:43:09.759
<v Speaker 4>only matters if the market is all right.

0:43:10.160 --> 0:43:13.080
<v Speaker 2>James Vanguila and from Succrini Research, thank you so much

0:43:13.160 --> 0:43:14.320
<v Speaker 2>for coming back on all lots.

0:43:14.560 --> 0:43:14.880
<v Speaker 4>Thank you.

0:43:14.960 --> 0:43:30.320
<v Speaker 2>That's fun. Yeah, Joe, I enjoyed that conversation. I like

0:43:30.480 --> 0:43:32.560
<v Speaker 2>just thinking through investment ideas.

0:43:32.680 --> 0:43:35.120
<v Speaker 5>No, I like that one, just getting to like think

0:43:35.560 --> 0:43:39.319
<v Speaker 5>about you know. So, actually what really struck me was

0:43:39.960 --> 0:43:41.279
<v Speaker 5>his comment actually in.

0:43:41.200 --> 0:43:42.360
<v Speaker 3>The water part of it.

0:43:42.560 --> 0:43:45.200
<v Speaker 5>Yeah, well, what becomes the fly and the ointment of

0:43:45.400 --> 0:43:48.480
<v Speaker 5>a thesis? And why when does it become like, Okay,

0:43:48.480 --> 0:43:51.840
<v Speaker 5>here's a theme, but it's just not going to take hold,

0:43:52.000 --> 0:43:55.920
<v Speaker 5>yes hard enough, so to speak, such that it becomes

0:43:55.920 --> 0:43:58.399
<v Speaker 5>a real investing theme. And so the idea is like, yeah,

0:43:58.400 --> 0:44:00.760
<v Speaker 5>there probably is going to be a lot more demand

0:44:01.280 --> 0:44:04.319
<v Speaker 5>for filtration in the future to clean the water. But

0:44:04.360 --> 0:44:07.160
<v Speaker 5>with a little bit of a regulatory ambiguity now in

0:44:07.200 --> 0:44:10.440
<v Speaker 5>the wake of the Chevron decision, then suddenly like this

0:44:10.560 --> 0:44:13.080
<v Speaker 5>is just not going to take hold the way it

0:44:13.200 --> 0:44:15.920
<v Speaker 5>might have in a different decision, and therefore it's not

0:44:16.000 --> 0:44:18.920
<v Speaker 5>going to be quite as powerful as an investing theme is,

0:44:18.960 --> 0:44:19.520
<v Speaker 5>Like it.

0:44:19.400 --> 0:44:20.160
<v Speaker 3>Was very useful.

0:44:20.360 --> 0:44:20.520
<v Speaker 1>Well.

0:44:20.560 --> 0:44:24.520
<v Speaker 2>I thought the framing of price and story mattering to

0:44:24.640 --> 0:44:28.640
<v Speaker 2>thematic investment was important because there is a situation where

0:44:28.680 --> 0:44:31.000
<v Speaker 2>you can be a little bit too smart and you

0:44:31.080 --> 0:44:34.720
<v Speaker 2>see something that no one else possibly sees, and then

0:44:35.160 --> 0:44:39.080
<v Speaker 2>you know that something just never gets reflected in the price,

0:44:39.280 --> 0:44:43.600
<v Speaker 2>like there happened instance of that, instances of that throughout history,

0:44:44.080 --> 0:44:47.040
<v Speaker 2>and so you really need both the I guess the

0:44:47.160 --> 0:44:50.000
<v Speaker 2>underpricing or you know, at least the price to be

0:44:50.120 --> 0:44:54.680
<v Speaker 2>like relatively attractive, plus the momentum provided by that story

0:44:55.200 --> 0:44:58.279
<v Speaker 2>to make really compelling investment. And then if you get

0:44:58.320 --> 0:45:01.040
<v Speaker 2>something like in video where you know, at least up

0:45:01.080 --> 0:45:04.520
<v Speaker 2>until maybe the beginning of last year, it was underpriced

0:45:04.520 --> 0:45:07.200
<v Speaker 2>certainly relative to where it is right now, plus all

0:45:07.239 --> 0:45:10.120
<v Speaker 2>that attention from investors, then you got this massive winner.

0:45:10.640 --> 0:45:13.960
<v Speaker 5>I'm so impressed by those drunken Miller comments where he's like, oh, yeah,

0:45:14.000 --> 0:45:17.239
<v Speaker 5>they used in video chips for chat GBTAI seems like

0:45:17.280 --> 0:45:17.640
<v Speaker 5>a big deal.

0:45:17.680 --> 0:45:21.080
<v Speaker 3>I'm gonna go along, and whereas me, I'm like, oh,

0:45:21.080 --> 0:45:21.640
<v Speaker 3>they already know.

0:45:21.760 --> 0:45:24.200
<v Speaker 5>Everyone knew that they were like using in video chips

0:45:24.239 --> 0:45:25.960
<v Speaker 5>so it's all priced into the market.

0:45:26.040 --> 0:45:28.200
<v Speaker 2>But that's why there are a lot of people saying,

0:45:28.239 --> 0:45:30.920
<v Speaker 2>like a year ago, that it was all priced in.

0:45:31.239 --> 0:45:31.439
<v Speaker 4>Right.

0:45:32.040 --> 0:45:35.479
<v Speaker 2>Yeah, I hadn't seen that five below chart either.

0:45:35.640 --> 0:45:38.480
<v Speaker 5>That's no, so I hadn't looked at the chart in

0:45:38.560 --> 0:45:41.080
<v Speaker 5>a while. But it really look if you.

0:45:41.000 --> 0:45:44.280
<v Speaker 2>Have a one hundred percent over two hundred to like one hundred,

0:45:44.400 --> 0:45:46.439
<v Speaker 2>if you a few months, lety.

0:45:46.440 --> 0:45:48.319
<v Speaker 5>Just put that there is not much you could sell

0:45:48.360 --> 0:45:51.520
<v Speaker 5>for five dollars in below in the world, in a

0:45:51.560 --> 0:45:53.239
<v Speaker 5>world of one hundred percent tariffs.

0:45:53.480 --> 0:45:56.200
<v Speaker 2>Yes, I'm sure there's a pun you could do then

0:45:56.239 --> 0:46:00.080
<v Speaker 2>about the stock price being below. Oh yeah something, But okay,

0:46:00.239 --> 0:46:01.000
<v Speaker 2>shall we leave it there.

0:46:01.040 --> 0:46:01.680
<v Speaker 3>Let's leave it there.

0:46:01.800 --> 0:46:04.560
<v Speaker 2>This has been another episode of the All Thoughts podcast.

0:46:04.640 --> 0:46:07.920
<v Speaker 2>I'm Tracy Alloway. You can follow me at Tracy Alloway.

0:46:07.760 --> 0:46:10.400
<v Speaker 5>And I'm Jill Wisenthal. You can follow me at the Stalwart.

0:46:10.560 --> 0:46:14.800
<v Speaker 5>Follow Ergust James van Gielan, He's at Saitrini seven. Follow

0:46:14.800 --> 0:46:18.240
<v Speaker 5>our producers Kerman Rodriguez at Carman Ermann dash Ol Bennett

0:46:18.280 --> 0:46:21.359
<v Speaker 5>at Dashbot and Kilbrooks at Kilbrooks. Thank you to our

0:46:21.360 --> 0:46:24.360
<v Speaker 5>producer Moses Ondam for more Odd Lots content. Go to

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0:46:27.080 --> 0:46:29.359
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0:46:33.840 --> 0:46:36.000
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