WEBVTT - Jerry Neumann on the Problem With Investing in AI 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 Outlass podcast.

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<v Speaker 3>I'm Joe Wisenthal and I'm Tracy Allaway.

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<v Speaker 2>Tracy our colleague here at Bloomberg at Harrison, had interesting

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<v Speaker 2>newsletter today and it's actually something I've been thinking about

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<v Speaker 2>a little bit lately, which is that for all the

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<v Speaker 2>talk of the AI boom or the A bubble driving

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<v Speaker 2>the stock market, there's no AI pure plays really that

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<v Speaker 2>are publicly traded. Like in video is probably the closest,

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<v Speaker 2>but three years ago people were excited because they were

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<v Speaker 2>mining ethereum. Before that, it was like video games. You know,

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<v Speaker 2>this was only an AI company in people's mind. For

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<v Speaker 2>since late twenty twenty two, Google still is you know,

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<v Speaker 2>we know they're all investing in a ton. There's actually

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<v Speaker 2>no like no AI company that people are excited about

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<v Speaker 2>in the public markets.

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<v Speaker 3>I mean, I think it's true. Here you have this

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<v Speaker 3>thing that a lot of people would say is revolutionary technology, right,

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<v Speaker 3>but you kind of have to decide if you're going

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<v Speaker 3>to invest in it, is it going to be like

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<v Speaker 3>upstream or downstream? And there doesn't really seem to be

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<v Speaker 3>that much pure play, as you say.

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<v Speaker 2>As our colleagues said, Verma might like to say, people

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<v Speaker 2>are investing in the picks and the shovels, you know,

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<v Speaker 2>this gold rush. I don't think he actually said that.

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<v Speaker 2>It's just a million other people's but it is.

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<v Speaker 3>It shovels, it's fun, a completely reasonable commentary, That's what

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<v Speaker 3>I say.

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<v Speaker 2>Is there? You know, it turns out instantly picks and

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<v Speaker 2>shovels have been great. You know, you could have bought Caterpillar,

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<v Speaker 2>or you could have bought some old school HVAC company

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<v Speaker 2>that's providing cooling or heating or whatever and made a

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<v Speaker 2>ton of money. So actually, it turns out, at least

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<v Speaker 2>for the last few years, all those awful cliches have

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<v Speaker 2>actually been big money makers and I should not make

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<v Speaker 2>fun of them.

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<v Speaker 3>Well, here's the other thing I would say. It does

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<v Speaker 3>feel like everyone kind of agrees at this moment in

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<v Speaker 3>time that there is froth in the market. Maybe it's

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<v Speaker 3>on a massive bubble, right, but there's some froth, and

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<v Speaker 3>everyone is kind of admitting or saying that you're going

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<v Speaker 3>to have some companies that emerge as big winners, much

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<v Speaker 3>like the dot com era, and then a bunch of

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<v Speaker 3>companies that like actually end up being losers, and I

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<v Speaker 3>think again, like that is consensus at this point, but

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<v Speaker 3>it doesn't really necessarily translate into actual investment, because of

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<v Speaker 3>course the trick is actually picking the winners and losers

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<v Speaker 3>in the market.

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<v Speaker 4>Yeah. I don't know.

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<v Speaker 3>It just seems like a weird point in time where

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<v Speaker 3>people are like, oh, yeah, AI is great, but we

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<v Speaker 3>all know that some of these companies are going to

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<v Speaker 3>be massive losers, right.

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<v Speaker 2>I think now they're all kind of big treated as winners,

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<v Speaker 2>which is the other thee Yeah, anyway, it's a very

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<v Speaker 2>weird time. You got to do more episodes on this

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<v Speaker 2>because it is sort of the central question for on

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<v Speaker 2>whether we're just talking about the market or talk about

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<v Speaker 2>the economy, et cetera. Someone I've wanted to talk to

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<v Speaker 2>for a long time. Earlier this year he wrote a

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<v Speaker 2>essay for Colossus called AI will Not Make You Rich.

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<v Speaker 2>It came out in September. It seems like ages ago.

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<v Speaker 2>It's very disappointing because I think a lot of people

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<v Speaker 2>really are hoping to get rich on AI, so this

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<v Speaker 2>is a very unwelcome message.

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<v Speaker 3>It's also very much a sort of core odd Lots

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<v Speaker 3>thesis because in the essay he compares and contrasts AI

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<v Speaker 3>with containerization, which is another which facing.

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<v Speaker 2>So let's just get to the guest. Someone I've wanted

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<v Speaker 2>to talk to for a very long time, someone who

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<v Speaker 2>literally is the perfect guest longtime VC started a venture

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<v Speaker 2>investing in nineteen ninety seven. Also a professor at Columbia

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<v Speaker 2>Business School. We're going to be talking to investor Jerry Newman,

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<v Speaker 2>also the co author of a recent book, Founder Verse Investor,

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<v Speaker 2>The Honest Truth about Venture Capital from Startup to IPO.

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<v Speaker 2>Maybe he'll tell us one we'll see.

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<v Speaker 3>You the bringer of excess Halloween candy. So he gets

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<v Speaker 3>he gets brownie points for that.

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<v Speaker 2>Literally the perfect guest. Uh, Jerry, thank you so much

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<v Speaker 2>for coming in. Thrilled to finally have you here.

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<v Speaker 4>Thanks, I'm glad to be here.

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<v Speaker 2>What does that mean? A I won't make you rich.

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<v Speaker 2>AI has made people super rich, and it's making people

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<v Speaker 2>rich every single day.

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<v Speaker 4>You know, as an old mentor used to say, money

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<v Speaker 4>is not money till it's cash. Okay, So is anybody

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<v Speaker 4>really rich yet? Oh? Come on?

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<v Speaker 2>I mean Jensen Wong bought an entire bar in Korea.

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<v Speaker 2>He's like bought beer and fried chicken for everyone.

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<v Speaker 4>He's right, I think it's smart to cash out early. Okay,

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<v Speaker 4>that's what he was doing. Okay, let's say you I

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<v Speaker 4>really believed it, would you be selling at stock now?

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<v Speaker 2>I mean, see what you mean talk about this because

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<v Speaker 2>you obviously have a lot of experience. Actually, that brings

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<v Speaker 2>another line of question that I want to get into.

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<v Speaker 2>But what does that mean it's smart to cash out

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<v Speaker 2>early when in your experience? What does that actually mean?

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<v Speaker 4>So, look, I believe that AI is a revolutionary technology. Okay,

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<v Speaker 4>I'm going to put that on the table.

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<v Speaker 2>Which is important to say because not everyone agrees with that.

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<v Speaker 4>So that's yeah, totally. You know, I'm on Blue Sky

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<v Speaker 4>and nobody agrees with that, but I do. I think so.

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<v Speaker 4>But there's a difference between value creation and value capture.

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<v Speaker 4>So even if AI creates a lot of value for society,

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<v Speaker 4>who's going to get that value? Is it going to

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<v Speaker 4>be the early investors? Is it going to be the court,

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<v Speaker 4>you know, the foundation model companies. Is it going to

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<v Speaker 4>be YEA consumers? You know? They think that's the question

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<v Speaker 4>people need to ask.

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<v Speaker 3>I actually broadly agree with this thesis when it comes

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<v Speaker 3>to AI, but maybe just to clarify the idea here,

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<v Speaker 3>compare and contrast this current AI cycle with maybe previous

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<v Speaker 3>technological breakthroughs. And you know, I mentioned containers. I think

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<v Speaker 3>a lot of people aren't used to thinking about boxes

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<v Speaker 3>as this major advancement in technology, but at the time

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<v Speaker 3>they really were.

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<v Speaker 4>Yeah, I mentioned containerization, and most of my peers think

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<v Speaker 4>I'm talking about doctor. So I'm talking about shipping containers. Right,

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<v Speaker 4>the big boxes they put on ships, and then they

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<v Speaker 4>can move from the ships onto the rail cars and

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<v Speaker 4>now to the back of trucks. And this was a

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<v Speaker 4>revolutionary technology. I mean it changed everything about the way

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<v Speaker 4>we live. I don't remember. I'm probably a little older

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<v Speaker 4>than you all, but when I was a kid, my

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<v Speaker 4>grandmother used to send up oranges from Florida at Christmas time, right,

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<v Speaker 4>because they were rare. You couldn't just go into a

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<v Speaker 4>grocery store and buy them. Now you can buy oranges

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<v Speaker 4>anywhere at any time. People don't really realize how much

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<v Speaker 4>our lives have changed because of shipping containerization, because of

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<v Speaker 4>these global logistics and the globalization of shipping. Now this

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<v Speaker 4>is utionary technology. Who got rich from it? I mean generally,

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<v Speaker 4>if you look at the nineteen sixties, say how many

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<v Speaker 4>people became wildly rich from technological innovation? Can you think

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<v Speaker 4>of anyone? Because I've been asking this question for years.

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<v Speaker 4>There are people who got rich in media and whatnot,

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<v Speaker 4>but there wasn't a lot of technological innovation that made individuals.

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<v Speaker 2>It just start, like twenty years ago, did they have technology.

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<v Speaker 4>Bout the right? I mean, it's I think this is

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<v Speaker 4>the thing. Right, So we talk about computer technology, the

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<v Speaker 4>information and computer technology revolution as technology, but obviously this

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<v Speaker 4>has always been technology. But only at certain times in

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<v Speaker 4>this technological cycle do people seem to make money as

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<v Speaker 4>investors and as inventors.

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<v Speaker 3>Explain more, though, because I mean I could argue that

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<v Speaker 3>Marisk or someone like that got pretty rich off of containerization.

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<v Speaker 3>Like maybe it took a while, but even though the

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<v Speaker 3>shipping industry is highly cyclical, when they are in the

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<v Speaker 3>boom period, they make a lot of money.

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<v Speaker 4>Sure, I mean, the existing shipping companies got very large

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<v Speaker 4>and made a lot of money. They got larger and

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<v Speaker 4>made more money. Is mayor you know who made money.

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<v Speaker 3>Completely new entrants?

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<v Speaker 4>Yeah? So just to me as background, I'm a venture capitalist,

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<v Speaker 4>right or have been a venture capitalist for a long time,

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<v Speaker 4>recently retired, And I think about people investing in making

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<v Speaker 4>money new companies, inventors or entrepreneurs making money, not the

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<v Speaker 4>existing incumbents making money. And I think that people will

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<v Speaker 4>make money on AI. Might be Microsoft making a ton

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<v Speaker 4>of money on AI. It could be AI. You know,

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<v Speaker 4>when containerization shipping containerization came around, Sealand was the instigator

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<v Speaker 4>of this, and the founder of Sealand made money primarily

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<v Speaker 4>because he sold early, right, he sold Sealand to r

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<v Speaker 4>J Nibisco or sorry, it was just r Jr. At

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<v Speaker 4>the time, and they thought they were diversifying, which is

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<v Speaker 4>the big thing. Then paid them a lot of money

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<v Speaker 4>and then they drove it into the ground.

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<v Speaker 2>So what did Sealand do? What was did they? I

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<v Speaker 2>actually don't I'm not familiar with this company at all,

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<v Speaker 2>which I think kind of speaks to your point. But

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<v Speaker 2>what it was Seland?

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<v Speaker 4>Yes, So so it was a truck. It was started

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<v Speaker 4>out as a trucking company. And the founder of Sealand

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<v Speaker 4>was a trucking entrepreneur. And he said, it's silly you

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<v Speaker 4>you go into a port, your truck sits around all day. Well,

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<v Speaker 4>you know, the long charman put a cargo net into

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<v Speaker 4>a container ship, load everything into it, pull it out,

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<v Speaker 4>unload it and then reload it back into your truck.

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<v Speaker 4>This is not efficient. And this obviously it's an obvious idea, right,

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<v Speaker 4>just put it all in a box and you can

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<v Speaker 4>then put that box on a truck.

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<v Speaker 3>The best ideas are always the obvious rights in retrospect.

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<v Speaker 4>But the problem with it was it was a systems problem, right.

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<v Speaker 4>The long charman didn't want it, the ports didn't want it,

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<v Speaker 4>the port authorities didn't want it, the politicians didn't want it.

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<v Speaker 4>Nobody wanted this to happen because this sort of enormous

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<v Speaker 4>change would put a lot of people out of jobs.

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<v Speaker 4>It would up set the existing order, and it did.

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<v Speaker 4>I live in Hoboken, and in Hoboken there's a lot

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<v Speaker 4>of peers that nobody uses except to go running on now,

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<v Speaker 4>because back in the sixties it was a long sharmantown.

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<v Speaker 4>And when I moved there in the early nineties, it

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<v Speaker 4>was empty. It started to gentrify, but because all of

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<v Speaker 4>those people had lost their jobs and moved out.

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<v Speaker 2>And I suppose, like even in the case of marisk

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<v Speaker 2>And I'm sure you know, they obviously have made a

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<v Speaker 2>lot of money because the explosion of global trading volumes

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<v Speaker 2>and containerization is part of it. Like, it wasn't overnight wealth, right,

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<v Speaker 2>it wasn't.

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<v Speaker 4>It was not.

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<v Speaker 2>It was not people got richer, but it was not

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<v Speaker 2>like some bubble get rich quick thing where they suddenly

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<v Speaker 2>cashed in on a new thing.

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<v Speaker 4>Yeah. I mean, I suppose whoever owns mask may have

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<v Speaker 4>gotten richer. Yeah, but it's not like you're going to

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<v Speaker 4>look at the forest four hundred and see all these

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<v Speaker 4>shipping magnates who became suddenly, you know, enormously wealthy. There

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<v Speaker 4>are a few.

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<v Speaker 3>Wait, okay, so if I think about a box, you

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<v Speaker 3>know part part of that.

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<v Speaker 2>We just keep this whole conversation on boxes.

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<v Speaker 3>Actually, well one more question then we will be able

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<v Speaker 3>to discuss ai. But I think about a box, and

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<v Speaker 3>as you say, it's sort of an organizational structural problem,

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<v Speaker 3>Like the box itself is not the huge technological advancement necessarily.

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<v Speaker 3>So what exactly was it about containerization that prevented it

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<v Speaker 3>from being disseminated I guess to new upstarts or new

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<v Speaker 3>companies that could actually use that technology.

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<v Speaker 4>Well it was, so I'm not sure I understand the question,

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<v Speaker 4>because uanization became widespread very quickly, right, But.

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<v Speaker 3>What I mean is like, why was that value seemingly

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<v Speaker 3>captured by incumbents versus startups?

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<v Speaker 4>Right? I think because it disseminated so quickly, Right, it

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<v Speaker 4>was an obvious idea. Everybody who saw it said, Okay,

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<v Speaker 4>we need to do this. Right. Everybody who's already in

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<v Speaker 4>the business said, if this is going to happen, we

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<v Speaker 4>have to do it. We can't be left behind. We

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<v Speaker 4>will be left behind if we don't do it, which

0:10:23.080 --> 0:10:26.040
<v Speaker 4>you know, I think was also obvious. So the reason

0:10:26.080 --> 0:10:27.920
<v Speaker 4>nobody else did it first was it was hard to do.

0:10:28.040 --> 0:10:30.280
<v Speaker 4>It was hard to make happen. And technology has always

0:10:30.280 --> 0:10:34.000
<v Speaker 4>come in these technological systems if they're worthwhile technologies. Right.

0:10:34.040 --> 0:10:37.520
<v Speaker 4>So the personal computer didn't change the world on its own, right.

0:10:37.559 --> 0:10:40.280
<v Speaker 4>It changed the world alongside the Internet, you know, alongside

0:10:40.320 --> 0:10:42.840
<v Speaker 4>a bunch of technologies that formed the system. So the

0:10:42.880 --> 0:10:45.600
<v Speaker 4>hard part here was building the system, not the individual technologies.

0:10:45.920 --> 0:10:48.120
<v Speaker 4>And this is true I think of computers as well.

0:10:48.480 --> 0:10:52.400
<v Speaker 4>The first microprocessors weren't considered revolutionary. Intel didn't consider the

0:10:52.440 --> 0:10:56.000
<v Speaker 4>four thousand and four revolutionary. They considered it evolutionary. The

0:10:56.040 --> 0:10:59.040
<v Speaker 4>engineers have said this, And it wasn't revolutionary until people

0:10:59.040 --> 0:11:01.680
<v Speaker 4>put it to use in ways that they didn't anticipate.

0:11:01.520 --> 0:11:04.320
<v Speaker 2>Actually, can we go. I didn't know that, like, I

0:11:04.360 --> 0:11:07.240
<v Speaker 2>hadn't really thought about that with Intel that at the

0:11:07.360 --> 0:11:10.319
<v Speaker 2>time it didn't feel to them that it wasn't a

0:11:10.360 --> 0:11:12.960
<v Speaker 2>revolutionary technology. That's sort of mind blowing.

0:11:12.880 --> 0:11:15.120
<v Speaker 4>It is, right. This is I think from Michael Malone's

0:11:15.120 --> 0:11:17.080
<v Speaker 4>The Intel Trinity of the book. You know, he interviewed

0:11:17.080 --> 0:11:19.560
<v Speaker 4>a bunch of Intel engineers and he said, you know,

0:11:19.760 --> 0:11:21.760
<v Speaker 4>like they thought they were building a better chip set

0:11:21.800 --> 0:11:25.080
<v Speaker 4>to build pocket calculators or desk calculators. I just say so,

0:11:25.120 --> 0:11:27.240
<v Speaker 4>they had a client, Busycom, who wanted to build a

0:11:27.280 --> 0:11:30.360
<v Speaker 4>better desktop calculator with calculators were big back then in

0:11:30.440 --> 0:11:33.360
<v Speaker 4>nineteen seventy ish, and one of the engineers said, well,

0:11:33.360 --> 0:11:35.520
<v Speaker 4>why do we keep building custom chip sets for each

0:11:35.559 --> 0:11:37.720
<v Speaker 4>different calculator. Why don't we just build a chipset that

0:11:37.720 --> 0:11:40.600
<v Speaker 4>we can customize the software and change what it does.

0:11:40.640 --> 0:11:44.800
<v Speaker 4>And Intel is kind of like eh, and Busycom was like, okay,

0:11:44.840 --> 0:11:46.880
<v Speaker 4>we'll pay for that. And then Busycom actually tried to

0:11:46.880 --> 0:11:48.600
<v Speaker 4>back out and they gave the rights back to Intel.

0:11:48.600 --> 0:11:50.959
<v Speaker 4>So Intel owned the rights to this four thousand and four,

0:11:51.360 --> 0:11:54.040
<v Speaker 4>and then they started selling it and it wasn't Intel.

0:11:54.480 --> 0:11:56.000
<v Speaker 4>You know, Intel believed at the time it was going

0:11:56.040 --> 0:12:00.160
<v Speaker 4>to be maybe used for dedicated hardware, you know, can

0:12:00.200 --> 0:12:02.600
<v Speaker 4>you hardware controllers that kind of thing, not by consumers.

0:12:02.960 --> 0:12:05.319
<v Speaker 4>So it wasn't until people on the outside said, hey,

0:12:05.360 --> 0:12:07.679
<v Speaker 4>you know, I love these IBM mainframes or these deck

0:12:07.720 --> 0:12:09.840
<v Speaker 4>MANI computers. I'd like to have my own, but obviously

0:12:10.320 --> 0:12:12.240
<v Speaker 4>nobody can afford that. Why don't I just try to

0:12:12.240 --> 0:12:15.319
<v Speaker 4>build my own? Right, So there's these kind of outside inventors,

0:12:15.640 --> 0:12:19.439
<v Speaker 4>this permissionless invention, and then it really the real revolution

0:12:19.559 --> 0:12:22.080
<v Speaker 4>didn't happen until this. You know, everybody's like, oh Intel.

0:12:22.280 --> 0:12:24.480
<v Speaker 4>It was the six five oh two where the price

0:12:24.520 --> 0:12:27.640
<v Speaker 4>came down so dramatically that, you know, Steve Wozniak could

0:12:27.640 --> 0:12:30.240
<v Speaker 4>walk into a computer fair you get some for free

0:12:30.280 --> 0:12:31.760
<v Speaker 4>and go home and build up a personal computer.

0:12:31.880 --> 0:12:33.800
<v Speaker 2>It's crazy. I wonder who made the chips for the

0:12:33.840 --> 0:12:36.480
<v Speaker 2>Commodore sixty four computer that I had.

0:12:36.559 --> 0:12:38.959
<v Speaker 4>They were six five o twos. Those were Intel, that's

0:12:39.080 --> 0:12:41.040
<v Speaker 4>you know, they weren't until there were Moss technologies. Oh

0:12:41.160 --> 0:12:43.200
<v Speaker 4>got it, got it, those are the cheap ones.

0:12:43.240 --> 0:12:45.120
<v Speaker 2>Then yeah, wait, what year was that when you had well,

0:12:45.160 --> 0:12:48.360
<v Speaker 2>I had I think I like learned some basic and

0:12:48.679 --> 0:12:52.640
<v Speaker 2>did some coding on it. I would have said maybe

0:12:53.120 --> 0:12:56.319
<v Speaker 2>nineteen eighty eight, nineteen eighty seven somewhere around there, made

0:12:56.320 --> 0:12:59.599
<v Speaker 2>a few I missed those days. It's crazy that I

0:12:59.640 --> 0:13:01.920
<v Speaker 2>didn't be. Can I just say I sometimes when I

0:13:01.960 --> 0:13:04.160
<v Speaker 2>think about my life path, like how did I not

0:13:04.320 --> 0:13:05.640
<v Speaker 2>end up like a tech guy? Because I was like

0:13:05.720 --> 0:13:08.000
<v Speaker 2>very into math. I was like one of those people

0:13:08.000 --> 0:13:10.520
<v Speaker 2>who had a computer when I was six or seven.

0:13:10.679 --> 0:13:13.079
<v Speaker 3>In nineteen eighty seven, you were coding you were seven

0:13:13.160 --> 0:13:13.520
<v Speaker 3>years old.

0:13:13.720 --> 0:13:16.160
<v Speaker 2>Yeah, I got that. My dad got me this magazine

0:13:16.800 --> 0:13:19.040
<v Speaker 2>that just it was very crazy. There was literally just

0:13:19.080 --> 0:13:21.560
<v Speaker 2>sent you pages of code and then you just typed

0:13:21.600 --> 0:13:23.240
<v Speaker 2>it in and you could like make a video game.

0:13:23.400 --> 0:13:24.960
<v Speaker 2>I was doing that at seven. I could be like

0:13:25.000 --> 0:13:27.360
<v Speaker 2>one of those like who's per s gave of a

0:13:27.400 --> 0:13:30.080
<v Speaker 2>computer when he was seven? It anyway, and it's not

0:13:30.120 --> 0:13:30.480
<v Speaker 2>too late.

0:13:30.800 --> 0:13:31.480
<v Speaker 4>It's not too late.

0:13:31.800 --> 0:13:33.920
<v Speaker 3>Yeah, it isn't too late. Well, maybe it is too

0:13:33.960 --> 0:13:52.360
<v Speaker 3>late because now we have AI doing all the coding, right, Okay,

0:13:52.400 --> 0:13:54.680
<v Speaker 3>just so I understand when it comes to I guess

0:13:54.679 --> 0:13:58.880
<v Speaker 3>the advantages of the incumbents to actually monetizing new technology

0:13:58.960 --> 0:14:02.120
<v Speaker 3>or benefiting from new technology is the moat around their

0:14:02.160 --> 0:14:06.240
<v Speaker 3>business the network and their sort of role in the network,

0:14:06.600 --> 0:14:10.000
<v Speaker 3>or is it the vast amounts of cash they have

0:14:10.120 --> 0:14:12.800
<v Speaker 3>and the ability to sort of roll out massive investment

0:14:12.920 --> 0:14:14.280
<v Speaker 3>to capture that value.

0:14:14.559 --> 0:14:17.280
<v Speaker 4>I think it's the latter, right, So anybody can build

0:14:17.640 --> 0:14:20.200
<v Speaker 4>a foundation model, right if you have the money. I mean,

0:14:20.720 --> 0:14:23.440
<v Speaker 4>the technology is not mysterious. It doesn't feel like the

0:14:23.440 --> 0:14:26.040
<v Speaker 4>technology is really changing very quickly anymore. And of course

0:14:26.040 --> 0:14:28.680
<v Speaker 4>I don't have insight into what's happening inside of open ai,

0:14:29.080 --> 0:14:31.040
<v Speaker 4>but looking at it over the past couple of years,

0:14:31.040 --> 0:14:34.640
<v Speaker 4>it's the same thing, but slightly better. It's evolutionary now, right.

0:14:34.960 --> 0:14:38.000
<v Speaker 4>The first part was revolutionary and now it's evolutionary. So

0:14:38.040 --> 0:14:39.760
<v Speaker 4>if you wanted to build one, you could build one.

0:14:39.760 --> 0:14:41.120
<v Speaker 4>And I have friends who are running them on their

0:14:41.160 --> 0:14:45.400
<v Speaker 4>laptops very slowly, but it's possible. So now the question

0:14:45.480 --> 0:14:47.440
<v Speaker 4>is do you have enough cash to build the data centers,

0:14:47.800 --> 0:14:50.280
<v Speaker 4>to buy all the chips, to build something that is

0:14:50.440 --> 0:14:53.040
<v Speaker 4>large enough that when you train it, it does something useful,

0:14:53.360 --> 0:14:57.400
<v Speaker 4>And it's just a question of having that the authority

0:14:57.400 --> 0:14:58.880
<v Speaker 4>in the market to be able to raise that money.

0:14:59.000 --> 0:15:01.480
<v Speaker 2>By the way, speaking of ideas that were sort of

0:15:01.520 --> 0:15:05.200
<v Speaker 2>really obvious that took a while. I'm always blown away that,

0:15:05.280 --> 0:15:07.800
<v Speaker 2>like how long it took them to put wheels on luggage.

0:15:07.880 --> 0:15:10.560
<v Speaker 2>I don't think anyone like made got super rich on that.

0:15:10.560 --> 0:15:11.880
<v Speaker 2>But when I was a kid, I remember like we

0:15:11.920 --> 0:15:14.920
<v Speaker 2>had these big suitcases, and that's the most obvious thing.

0:15:15.240 --> 0:15:17.560
<v Speaker 2>It took a while. Anyway, I don't think anyone goes.

0:15:17.440 --> 0:15:19.960
<v Speaker 3>Technology is still not perfected, as you know, because you've

0:15:19.960 --> 0:15:21.600
<v Speaker 3>been in airports with me and the wheels on my

0:15:21.640 --> 0:15:22.600
<v Speaker 3>luggage are broken.

0:15:22.760 --> 0:15:25.280
<v Speaker 2>But I don't think anyone got like super rich off

0:15:25.320 --> 0:15:27.240
<v Speaker 2>of wheels. That just seems like an that was just

0:15:27.280 --> 0:15:27.800
<v Speaker 2>sitting there.

0:15:27.920 --> 0:15:28.080
<v Speaker 4>You know.

0:15:28.120 --> 0:15:30.600
<v Speaker 2>I want to jump ahead actually in the conversation a

0:15:30.600 --> 0:15:32.800
<v Speaker 2>little bit because I know to forget this point. But

0:15:32.880 --> 0:15:35.520
<v Speaker 2>this is something I've become a little obsessed with, which

0:15:35.600 --> 0:15:38.080
<v Speaker 2>is I've been meaning to ask a VC about this,

0:15:38.320 --> 0:15:40.120
<v Speaker 2>which is that there seems to be this blurring of

0:15:40.200 --> 0:15:44.480
<v Speaker 2>private and public markets in various ways, retail participation in

0:15:44.560 --> 0:15:49.080
<v Speaker 2>private markets, et cetera. For the VC, in my mind,

0:15:49.200 --> 0:15:54.120
<v Speaker 2>I feel like the exit was the IPO or the acquisition, right,

0:15:54.160 --> 0:15:56.960
<v Speaker 2>so you buy do vcs these days have to think

0:15:57.000 --> 0:16:00.440
<v Speaker 2>a little bit more about market timing and selling early.

0:16:00.600 --> 0:16:03.280
<v Speaker 2>So someone who was an early investor in open ai

0:16:03.640 --> 0:16:05.680
<v Speaker 2>or whatever you know, in the past, they might have

0:16:05.760 --> 0:16:08.119
<v Speaker 2>just held or then sell at the IPO or the acquisition.

0:16:08.280 --> 0:16:10.400
<v Speaker 2>It is probably going to happen in an open AI's case,

0:16:10.440 --> 0:16:13.360
<v Speaker 2>they're too big to be acquired. But to vcs and

0:16:13.720 --> 0:16:15.760
<v Speaker 2>in your experience these days, have to think a little

0:16:15.800 --> 0:16:19.360
<v Speaker 2>bit more about this idea of selling early, timing the exit.

0:16:19.920 --> 0:16:22.160
<v Speaker 4>Well, I think vcs always had to think about timing.

0:16:22.680 --> 0:16:24.400
<v Speaker 4>You know, I've done pretty well in VC, and I

0:16:24.400 --> 0:16:27.600
<v Speaker 4>attributed it entirely to being lucky at starting investing at

0:16:27.640 --> 0:16:29.440
<v Speaker 4>the right time. So the first time around, I was

0:16:29.440 --> 0:16:32.240
<v Speaker 4>starting in ninety seven, which any you could make money in.

0:16:32.240 --> 0:16:34.160
<v Speaker 4>The second time around, I started in two thousand and seven,

0:16:34.520 --> 0:16:37.000
<v Speaker 4>which again it was just two thousand and eight. It

0:16:37.080 --> 0:16:38.840
<v Speaker 4>was just an easy time to buy in.

0:16:38.920 --> 0:16:41.600
<v Speaker 2>But I mean, the timing of the sale is that

0:16:41.720 --> 0:16:43.840
<v Speaker 2>something that where in the past it might have been

0:16:43.880 --> 0:16:47.440
<v Speaker 2>automatic exit, now now is not the case.

0:16:47.600 --> 0:16:49.400
<v Speaker 4>Yeah. I wrote this thing about VC in the nineteen

0:16:49.400 --> 0:16:52.160
<v Speaker 4>eighties a long time ago on the blog. You can

0:16:52.160 --> 0:16:54.880
<v Speaker 4>find it. And the thing because nobody talks about the

0:16:54.960 --> 0:16:57.400
<v Speaker 4>nineteen eighties, right, there's plenty of VC in the eighties,

0:16:57.400 --> 0:16:59.360
<v Speaker 4>but nobody talks about it. People talk about the sixties

0:16:59.360 --> 0:17:02.000
<v Speaker 4>and in the nineties. So I was like, all right,

0:17:02.040 --> 0:17:04.560
<v Speaker 4>what happened. Then. One of the interesting things about it

0:17:04.600 --> 0:17:07.040
<v Speaker 4>is there were the IPO windows then where you know,

0:17:07.119 --> 0:17:08.960
<v Speaker 4>nineteen eighty three the IPO window opened a bunch of

0:17:09.000 --> 0:17:10.600
<v Speaker 4>companies on public and then it closed again, and you

0:17:10.640 --> 0:17:12.600
<v Speaker 4>can see it in the numbers when people in public.

0:17:12.640 --> 0:17:15.520
<v Speaker 4>So people always had to think about timing. The IPO

0:17:15.600 --> 0:17:18.000
<v Speaker 4>is obviously the best exit because you want to sell

0:17:18.040 --> 0:17:20.600
<v Speaker 4>to the greatest fool, and nobody's greater fool than the public, right,

0:17:20.680 --> 0:17:24.200
<v Speaker 4>So you look for the IPO window to open. When

0:17:24.200 --> 0:17:26.320
<v Speaker 4>you can't, you have to sell to somebody else. You know.

0:17:26.520 --> 0:17:30.240
<v Speaker 4>Vcs have this problem of their limited fund life. So

0:17:30.600 --> 0:17:33.120
<v Speaker 4>I look at my portfolio. I'm an really early investor

0:17:33.480 --> 0:17:35.720
<v Speaker 4>or have been a really early investor, so I'll look

0:17:35.720 --> 0:17:38.359
<v Speaker 4>at companies and say, oh, I invested ten years ago.

0:17:38.960 --> 0:17:40.480
<v Speaker 4>They're going to have to sell, you know, it's the

0:17:40.920 --> 0:17:43.080
<v Speaker 4>So people look for the IPO window, but if they

0:17:43.119 --> 0:17:44.680
<v Speaker 4>can't find it, they have to sell somewhere else.

0:17:45.000 --> 0:17:47.600
<v Speaker 3>Well, how much of the money flowing into AI startups

0:17:47.640 --> 0:17:50.560
<v Speaker 3>now is just the expectation that a bunch of these

0:17:50.600 --> 0:17:54.520
<v Speaker 3>little companies are eventually going to get bought by larger incumbents,

0:17:54.560 --> 0:17:56.600
<v Speaker 3>and basically you're going to have consolidation and you will

0:17:56.640 --> 0:17:57.359
<v Speaker 3>get that exit.

0:17:58.040 --> 0:18:00.600
<v Speaker 4>I don't think anybody can predict when the IPO opens.

0:18:00.880 --> 0:18:02.840
<v Speaker 4>I mean, I wish I could, but I don't think

0:18:02.960 --> 0:18:06.280
<v Speaker 4>I've never seen anybody even say they could predict when

0:18:06.280 --> 0:18:08.680
<v Speaker 4>the IPO window opens. So I think a smart VC

0:18:08.800 --> 0:18:11.600
<v Speaker 4>invests in a company that can become self sustaining to

0:18:11.680 --> 0:18:14.440
<v Speaker 4>some degree, and then you wait for the timing to come.

0:18:14.760 --> 0:18:16.520
<v Speaker 4>You don't invest and say I'm gonna flip this in

0:18:16.560 --> 0:18:20.240
<v Speaker 4>three years now. Yeah. The other problem is vcs don't

0:18:20.240 --> 0:18:22.359
<v Speaker 4>invest in all these IA companies saying a bunch of

0:18:22.400 --> 0:18:24.560
<v Speaker 4>them are going to become valuable. They invest saying one

0:18:24.560 --> 0:18:25.720
<v Speaker 4>of these is going to be come right.

0:18:25.720 --> 0:18:28.240
<v Speaker 3>The lottery ticket theory, yeah, the power law.

0:18:28.600 --> 0:18:32.480
<v Speaker 2>Speaking of the IPO window, I'm never totally satisfied by

0:18:32.520 --> 0:18:36.040
<v Speaker 2>a lot of the explanations for the drop off in

0:18:36.160 --> 0:18:39.679
<v Speaker 2>IPOs generally. Do I know there was that law passed

0:18:39.680 --> 0:18:40.800
<v Speaker 2>in two thousand and one.

0:18:40.720 --> 0:18:43.159
<v Speaker 4>Or what was it, sins ox Yes.

0:18:43.040 --> 0:18:45.720
<v Speaker 2>Surbins ox Ley, and I get that law.

0:18:45.880 --> 0:18:49.280
<v Speaker 3>That law law that everyone hated for a really long time.

0:18:49.520 --> 0:18:51.399
<v Speaker 2>I don't know, it doesn't. But then you see, like

0:18:51.520 --> 0:18:53.960
<v Speaker 2>you know, twenty twenty one there's like a billion garbage

0:18:53.960 --> 0:18:57.119
<v Speaker 2>companies went public via SPACs et cetera. How much is

0:18:57.160 --> 0:18:59.920
<v Speaker 2>it about? Okay, there are some disadvantages to being public

0:19:00.600 --> 0:19:04.920
<v Speaker 2>versus there's just so much more private capital out there

0:19:05.160 --> 0:19:08.479
<v Speaker 2>such that the imperative to perhaps ever go public and

0:19:08.520 --> 0:19:11.119
<v Speaker 2>it's liquid and the rounds and like, what do you

0:19:11.200 --> 0:19:14.000
<v Speaker 2>attribute There are these big companies that are a private

0:19:14.080 --> 0:19:17.600
<v Speaker 2>stripe but open AI and onanthropic that choose to stay private.

0:19:17.640 --> 0:19:19.159
<v Speaker 2>What do you think the main reason for that is?

0:19:19.680 --> 0:19:21.320
<v Speaker 4>Well, it's because they can, right, I mean, being a

0:19:21.320 --> 0:19:23.840
<v Speaker 4>public company is no, it's no party, right, I mean

0:19:24.160 --> 0:19:25.760
<v Speaker 4>it kind of sucks being a public company.

0:19:25.880 --> 0:19:26.639
<v Speaker 2>What is it about it?

0:19:26.680 --> 0:19:28.600
<v Speaker 4>What sucks? Well, you have to tell everybody what you're

0:19:28.600 --> 0:19:30.800
<v Speaker 4>doing every three months. Yeah, that's you know, and then

0:19:30.840 --> 0:19:33.159
<v Speaker 4>they come back and complain about it. So sorry, I'm

0:19:33.160 --> 0:19:35.199
<v Speaker 4>being a little facetious, but it is. It's hard to

0:19:35.200 --> 0:19:37.120
<v Speaker 4>be a public company. Everybody, you know, anybody who runs

0:19:37.119 --> 0:19:38.479
<v Speaker 4>a public company will tell you they spend a lot

0:19:38.520 --> 0:19:40.840
<v Speaker 4>of time being a public company if they're running the company.

0:19:41.040 --> 0:19:43.439
<v Speaker 4>So that's taking away from actually running the company. I

0:19:43.440 --> 0:19:45.720
<v Speaker 4>think the flip side is your liquid and that's yeah.

0:19:45.840 --> 0:19:48.080
<v Speaker 4>You know, So if you can stay private, why wouldn't

0:19:48.119 --> 0:19:50.720
<v Speaker 4>you stay private? Or if you can go public and

0:19:50.760 --> 0:19:53.400
<v Speaker 4>retain control of the company, you know, like Henry Ford

0:19:53.440 --> 0:19:55.560
<v Speaker 4>or Mark Zuckerberg, then why wouldn't you do that? But

0:19:56.000 --> 0:19:58.240
<v Speaker 4>I think it's because there is so much late stage money.

0:19:58.520 --> 0:20:00.720
<v Speaker 4>This isn't necessarily a good thing. It's because there's so

0:20:00.800 --> 0:20:03.719
<v Speaker 4>much money out there that's not being invested in more

0:20:03.760 --> 0:20:07.520
<v Speaker 4>revolutionary technologies earlier. With all this money being invested in AI,

0:20:07.640 --> 0:20:09.159
<v Speaker 4>you may wonder if people are still going to want

0:20:09.200 --> 0:20:13.080
<v Speaker 4>to invest late stage stripe or the analogous stripe might

0:20:13.080 --> 0:20:14.200
<v Speaker 4>be making money now, I'm not sure.

0:20:15.800 --> 0:20:19.120
<v Speaker 3>I know you brought up previous historic analogies like VC

0:20:19.400 --> 0:20:21.840
<v Speaker 3>in the nineteen eighties, but just to focus on the

0:20:21.840 --> 0:20:24.040
<v Speaker 3>one that everyone else seems to be focused on at

0:20:24.040 --> 0:20:25.840
<v Speaker 3>the moment, which is the dot com bubble in the

0:20:25.880 --> 0:20:28.879
<v Speaker 3>early two thousands. What are the key differences you're seeing

0:20:28.880 --> 0:20:33.320
<v Speaker 3>in terms of the VC and financing environment now versus

0:20:33.560 --> 0:20:35.000
<v Speaker 3>twenty or twenty five years ago.

0:20:35.520 --> 0:20:37.320
<v Speaker 4>I think the key difference is that most of the

0:20:37.359 --> 0:20:41.280
<v Speaker 4>money is coming from people who aren't looking for much risk, right,

0:20:41.320 --> 0:20:44.960
<v Speaker 4>So I mean open ai is primarily funded by bigger companies. Right,

0:20:45.080 --> 0:20:47.439
<v Speaker 4>most of their money is coming from large companies. What

0:20:47.560 --> 0:20:50.720
<v Speaker 4>happens if open ai gets hit by a bus? Right,

0:20:51.400 --> 0:20:53.720
<v Speaker 4>So Microsoft's at a bunch of money. A whole bunch

0:20:53.760 --> 0:20:56.119
<v Speaker 4>of big companies are at a bunch of money. I

0:20:56.160 --> 0:20:58.680
<v Speaker 4>don't think much happens to the economy. I think, which

0:20:58.720 --> 0:21:01.159
<v Speaker 4>is different than in the bubble, where a lot of

0:21:01.160 --> 0:21:03.199
<v Speaker 4>consumers were in it. A lot of consumers were in

0:21:03.240 --> 0:21:06.320
<v Speaker 4>it leveraged right, the buying and margin or whatever. A

0:21:06.320 --> 0:21:09.320
<v Speaker 4>lot of people had options, right, people employees, and they

0:21:09.320 --> 0:21:14.080
<v Speaker 4>were spending the money from their options before they were licking.

0:21:14.400 --> 0:21:15.920
<v Speaker 4>You know, it was there was a much I think

0:21:15.920 --> 0:21:16.760
<v Speaker 4>it was a different dynamic.

0:21:16.800 --> 0:21:18.840
<v Speaker 3>But the wealth effect, I don't know.

0:21:19.359 --> 0:21:21.680
<v Speaker 2>I think this is a contrarian take on your part,

0:21:21.680 --> 0:21:25.040
<v Speaker 2>because you hear a lot about I mean, in two dimensions.

0:21:25.160 --> 0:21:28.280
<v Speaker 2>You hear a lot about the direct wealth effect from

0:21:28.560 --> 0:21:31.720
<v Speaker 2>people's exposure to the stock market, which AI is a

0:21:31.720 --> 0:21:35.359
<v Speaker 2>big part of the story. And then you also hear about,

0:21:35.480 --> 0:21:38.480
<v Speaker 2>of course, the sort of real economy effects through all

0:21:38.520 --> 0:21:41.200
<v Speaker 2>of the spending, which we will get into on the

0:21:41.280 --> 0:21:45.640
<v Speaker 2>data centers and the caterpillar, the turbines for the gas generation,

0:21:45.920 --> 0:21:48.560
<v Speaker 2>et cetera. I think many people would say there is

0:21:48.600 --> 0:21:51.960
<v Speaker 2>a lot right now riding on the health and the

0:21:52.000 --> 0:21:54.119
<v Speaker 2>sustainability of this particular sector.

0:21:54.840 --> 0:21:58.119
<v Speaker 4>So I think we can separate the companies like Microsoft

0:21:58.240 --> 0:22:01.840
<v Speaker 4>and Video. Are they over valued because of this? Maybe

0:22:02.000 --> 0:22:05.000
<v Speaker 4>doesn't make a huge difference to the economy. Probably not,

0:22:05.080 --> 0:22:08.840
<v Speaker 4>I don't think so. And the companies who are spending

0:22:08.880 --> 0:22:12.840
<v Speaker 4>money on infrastructure like building data centers, building power generation plants,

0:22:13.119 --> 0:22:15.760
<v Speaker 4>those things I think are probably overbuilt or not so

0:22:15.840 --> 0:22:19.399
<v Speaker 4>much overbuilt as they are built. And I think in

0:22:19.400 --> 0:22:21.000
<v Speaker 4>ten years you're gonna have a lot of extra compute,

0:22:21.040 --> 0:22:24.000
<v Speaker 4>a lot of extra power generation, and people will be

0:22:24.040 --> 0:22:26.720
<v Speaker 4>able to use that for other things. It'll also drive

0:22:26.760 --> 0:22:28.480
<v Speaker 4>down the price of just using AI.

0:22:28.560 --> 0:22:31.960
<v Speaker 2>Probably, yeah, Jevin's paradox bro is gonna be out back

0:22:32.000 --> 0:22:35.119
<v Speaker 2>and forth. All right, So AI, where are we? You

0:22:35.160 --> 0:22:37.600
<v Speaker 2>talk about cycles? And I think you use word that

0:22:37.640 --> 0:22:40.080
<v Speaker 2>I hadn't ereruption? What was the word you use? So well,

0:22:40.119 --> 0:22:42.920
<v Speaker 2>I'll tell us how you see cycles in what cycle

0:22:42.920 --> 0:22:43.119
<v Speaker 2>we're in?

0:22:43.200 --> 0:22:44.879
<v Speaker 4>Right? Right? So A lot of this is based on KARLOA.

0:22:45.000 --> 0:22:47.680
<v Speaker 4>Perez's work, which is pretty familiar to the ventro capitalists

0:22:47.680 --> 0:22:49.760
<v Speaker 4>and your audience. I'm sure. She wrote a book called

0:22:49.800 --> 0:22:54.760
<v Speaker 4>Technological Revolutions and Financial Capital where she explains the dynamics

0:22:54.800 --> 0:22:57.639
<v Speaker 4>behind the Kondrati of waves that the Chumpeter talks about.

0:22:58.000 --> 0:23:00.280
<v Speaker 4>So she has this theory about why these happen. And

0:23:00.760 --> 0:23:04.400
<v Speaker 4>you look at the Industrial revolution, the Second industry Revolution,

0:23:04.800 --> 0:23:08.320
<v Speaker 4>you can see these waves of technology technological systems happening

0:23:08.320 --> 0:23:11.160
<v Speaker 4>through the economy where they kind of start out, they

0:23:11.160 --> 0:23:14.640
<v Speaker 4>grow really rapidly, and then there's usually some sort of adjustment,

0:23:14.720 --> 0:23:16.879
<v Speaker 4>some sort of bubble bursting, and then things kind of

0:23:16.960 --> 0:23:18.879
<v Speaker 4>level out and then start to plateau, and then a

0:23:18.880 --> 0:23:21.600
<v Speaker 4>new one starts. And this is people have noticed this

0:23:21.920 --> 0:23:24.920
<v Speaker 4>since at least Kentdrati nineteen twenty six. She has a

0:23:25.320 --> 0:23:28.120
<v Speaker 4>mechanism for explaining it, and her mechanism has these four phases.

0:23:28.480 --> 0:23:30.680
<v Speaker 4>The first phase is eruption, which she spells with an I,

0:23:31.160 --> 0:23:33.160
<v Speaker 4>which I think is actually in the dictionary as a word.

0:23:33.440 --> 0:23:34.960
<v Speaker 4>I don't know what the difference is between that and

0:23:35.000 --> 0:23:38.520
<v Speaker 4>the eruption, but it is the part where smart right,

0:23:38.680 --> 0:23:41.560
<v Speaker 4>So yeah, keep saying that it is the start. It's

0:23:41.600 --> 0:23:44.119
<v Speaker 4>when people have invented something and it is starting to

0:23:44.160 --> 0:23:46.240
<v Speaker 4>catch on, but it hasn't caught on yet. There's a

0:23:46.280 --> 0:23:48.399
<v Speaker 4>lot of people saying, is this the future? Is it not?

0:23:48.920 --> 0:23:51.880
<v Speaker 4>You look at personal computers in the nineteen late nineteen seventies,

0:23:51.920 --> 0:23:55.200
<v Speaker 4>early nineteen eighties, and maybe even before IBM got involved,

0:23:55.480 --> 0:23:58.400
<v Speaker 4>and people didn't think personal computers were Some people thought

0:23:58.400 --> 0:24:00.760
<v Speaker 4>they were their future. And then you look back at

0:24:01.000 --> 0:24:03.400
<v Speaker 4>computer history. Everybody talks about the people who did think that.

0:24:03.600 --> 0:24:05.399
<v Speaker 4>They don't talk about the other ninety nine point nine

0:24:05.400 --> 0:24:07.879
<v Speaker 4>percent of smart people who said they weren't. This is

0:24:07.880 --> 0:24:09.720
<v Speaker 4>the eruption phase where there's a lot of uncertainty about

0:24:09.720 --> 0:24:12.320
<v Speaker 4>where this technology will go. It's starting to build connections

0:24:12.320 --> 0:24:16.560
<v Speaker 4>to other technologies, starting to attract money, attract smart people

0:24:16.800 --> 0:24:20.119
<v Speaker 4>because it's interesting and it might actually change things. So

0:24:20.200 --> 0:24:23.200
<v Speaker 4>this is the beginning. And I think the connection here

0:24:23.280 --> 0:24:25.600
<v Speaker 4>to AI is people wonder if we're in the eruption

0:24:25.680 --> 0:24:29.119
<v Speaker 4>phase of AI or not. Is this the start of

0:24:29.160 --> 0:24:32.919
<v Speaker 4>a new technological revolution phase? I think we're not. I

0:24:32.920 --> 0:24:34.439
<v Speaker 4>think we're in. I think this is the end of

0:24:34.480 --> 0:24:38.480
<v Speaker 4>the information computer technology wave, the end of the computer wave. Right,

0:24:38.600 --> 0:24:41.240
<v Speaker 4>I think it is. This is the culmination of the

0:24:41.240 --> 0:24:44.640
<v Speaker 4>computer wave. Right, Why did we build computers. We build

0:24:44.640 --> 0:24:47.320
<v Speaker 4>computers to help us think better. Right, this is what

0:24:47.359 --> 0:24:50.080
<v Speaker 4>they're for, their knowledge machines. So now we've kind of

0:24:50.080 --> 0:24:53.720
<v Speaker 4>reached the natural end stage what they do. They're smart,

0:24:53.760 --> 0:24:56.159
<v Speaker 4>machines are smarter. So I think this is not a

0:24:56.200 --> 0:24:58.119
<v Speaker 4>new technological revolution. I think it's the end of the

0:24:58.160 --> 0:24:59.399
<v Speaker 4>old one. And this is why I compare it to

0:24:59.400 --> 0:25:04.240
<v Speaker 4>container is thea because the previous wave was automobiles mass production,

0:25:04.920 --> 0:25:09.040
<v Speaker 4>and starting in nineteen fifteen or so up until nineteen

0:25:09.080 --> 0:25:12.879
<v Speaker 4>seventy was the previous wave, and containerization was squarely at

0:25:12.880 --> 0:25:15.120
<v Speaker 4>the end of that wave, and it was really kind

0:25:15.119 --> 0:25:17.880
<v Speaker 4>of pulling together the technologies of that wave into something

0:25:17.920 --> 0:25:20.040
<v Speaker 4>that increased productivity, right.

0:25:19.920 --> 0:25:22.080
<v Speaker 3>Like the final step of the global trade and I

0:25:22.080 --> 0:25:23.440
<v Speaker 3>guess mobility revolution.

0:25:23.600 --> 0:25:24.240
<v Speaker 4>Yeah exactly.

0:25:24.359 --> 0:25:28.920
<v Speaker 3>Okay, so how do you react as an angel investor?

0:25:29.480 --> 0:25:32.600
<v Speaker 3>Are you at the stage where you're looking for I

0:25:32.600 --> 0:25:35.400
<v Speaker 3>guess the downstream winners, like the companies that are going

0:25:35.440 --> 0:25:38.639
<v Speaker 3>to be able to apply or use AI most effectively,

0:25:38.760 --> 0:25:41.680
<v Speaker 3>or how are you actually deploying all these thoughts in

0:25:41.800 --> 0:25:46.119
<v Speaker 3>terms of your own investment strategy. I retired, Okay, you know,

0:25:46.240 --> 0:25:47.680
<v Speaker 3>I standing it out and I.

0:25:47.600 --> 0:25:50.240
<v Speaker 4>Said, look, how am I going to invest in foundation modes, right,

0:25:50.480 --> 0:25:54.199
<v Speaker 4>I don't have a billion dollar fund. I don't think that.

0:25:54.640 --> 0:25:56.800
<v Speaker 4>You know, if you look at the big winners from

0:25:57.000 --> 0:25:59.479
<v Speaker 4>the early big winners from globalization, the IKEA is right.

0:25:59.520 --> 0:26:03.720
<v Speaker 4>I mean it was a Scandinavian company until containerization, and

0:26:03.760 --> 0:26:07.280
<v Speaker 4>then they became a global powerhouse, a hugely successful company.

0:26:07.640 --> 0:26:11.159
<v Speaker 4>But they didn't need outside money. You know. Comprade, I

0:26:11.200 --> 0:26:14.160
<v Speaker 4>think he borrowed like a couple thousand dollars to start

0:26:14.160 --> 0:26:16.320
<v Speaker 4>that company or to get that company to buy some inventory.

0:26:16.560 --> 0:26:19.560
<v Speaker 4>He never took outside You look at Walmart, which had

0:26:19.560 --> 0:26:22.080
<v Speaker 4>been around already. It was an incumbent and used this

0:26:22.160 --> 0:26:24.119
<v Speaker 4>kind of globalization to bring a lot more variety of

0:26:24.160 --> 0:26:26.600
<v Speaker 4>products to the stores. They didn't need outside money to

0:26:26.640 --> 0:26:27.680
<v Speaker 4>do that. Yeah.

0:26:27.720 --> 0:26:30.399
<v Speaker 3>I guess if you're at Kia and suddenly you're flat

0:26:30.400 --> 0:26:33.040
<v Speaker 3>packing everything and shipping it in containers, and that's your

0:26:33.040 --> 0:26:36.600
<v Speaker 3>big innovation. It's a money saving technology, right, So you

0:26:36.600 --> 0:26:39.560
<v Speaker 3>don't actually have to raise new capital in order to

0:26:39.600 --> 0:26:40.600
<v Speaker 3>flat pack everything.

0:26:40.720 --> 0:26:43.520
<v Speaker 4>Yeah, exactly, Okay, they were already flat packing.

0:26:43.680 --> 0:26:47.320
<v Speaker 2>Yeah. Your mention of the Walmarts and targets of the world,

0:26:47.359 --> 0:26:48.639
<v Speaker 2>it was like in your essay it was like a

0:26:48.760 --> 0:26:52.119
<v Speaker 2>sort of very light bulb thing. It's like, yeah, I

0:26:52.119 --> 0:26:53.879
<v Speaker 2>don't know. I guess we'd take them for granted. But

0:26:53.920 --> 0:26:57.800
<v Speaker 2>they're clear like massive containerization winners. The skill that they

0:26:57.960 --> 0:27:01.560
<v Speaker 2>succeeded is impossible to fathom in some prior era.

0:27:01.440 --> 0:27:04.480
<v Speaker 3>Of Walmart is a logistics company and changed my mind.

0:27:04.320 --> 0:27:08.520
<v Speaker 2>Literally and many of you literally literally literally that. But

0:27:08.600 --> 0:27:11.880
<v Speaker 2>it doesn't feel like with AI that the equivalent has

0:27:11.920 --> 0:27:15.160
<v Speaker 2>emerged yet. Right, We're still at the age where people

0:27:15.160 --> 0:27:18.840
<v Speaker 2>are building the container deployed. But the company that exists

0:27:18.920 --> 0:27:22.359
<v Speaker 2>and is massive that couldn't exist prior to a like

0:27:22.680 --> 0:27:25.440
<v Speaker 2>does not feel does it We haven't seen that yet.

0:27:25.560 --> 0:27:26.720
<v Speaker 4>Well, you gotta be a little patient.

0:27:26.960 --> 0:27:29.000
<v Speaker 2>No, no, but like seriously.

0:27:28.720 --> 0:27:31.920
<v Speaker 4>Iikia so contained. The first container ship sailed in I

0:27:31.920 --> 0:27:34.840
<v Speaker 4>think nineteen fifty six. Okay, so when did Akia become

0:27:34.840 --> 0:27:37.320
<v Speaker 4>a global powerhouse? It really wasn't until the nineteen seventies

0:27:37.359 --> 0:27:39.360
<v Speaker 4>that they started to expand that this is really important.

0:27:39.440 --> 0:27:42.960
<v Speaker 2>They really take a while. Where would you expect it

0:27:43.040 --> 0:27:46.640
<v Speaker 2>to show up? Like what industries would you expect because

0:27:46.680 --> 0:27:50.119
<v Speaker 2>obviously retail existed for a long time, furniture existed for

0:27:50.160 --> 0:27:52.640
<v Speaker 2>a long time. Then you get these Bahamas. Are there

0:27:52.680 --> 0:27:57.399
<v Speaker 2>industries that you think are right to produce very torture

0:27:57.440 --> 0:28:00.040
<v Speaker 2>analogy the Ikea of the AI way.

0:28:00.640 --> 0:28:02.880
<v Speaker 4>Well, I think they have to be knowledge intensive industries,

0:28:03.040 --> 0:28:04.680
<v Speaker 4>right right, I mean this is what AI is doing,

0:28:04.760 --> 0:28:07.120
<v Speaker 4>what it is making more efficient. I mean I think

0:28:07.119 --> 0:28:09.200
<v Speaker 4>there's people been asking me like, well, then what should

0:28:09.200 --> 0:28:12.240
<v Speaker 4>I invest in? And yeah, tell us, well, you know,

0:28:12.480 --> 0:28:16.520
<v Speaker 4>I think, well, so give us. I've been thinking that myself.

0:28:16.800 --> 0:28:18.960
<v Speaker 4>But the answer is really that as an investor, I

0:28:18.960 --> 0:28:21.639
<v Speaker 4>don't decide what to invest in. I evaluate opportunities that

0:28:21.640 --> 0:28:23.760
<v Speaker 4>come to me. And so I have built a box

0:28:23.800 --> 0:28:26.000
<v Speaker 4>in which you can evaluate opportunities. Right, they have to

0:28:26.000 --> 0:28:28.280
<v Speaker 4>look like this. They have to look like an Ikea.

0:28:28.480 --> 0:28:29.840
<v Speaker 4>And if I Kia came to you and said I

0:28:29.920 --> 0:28:32.040
<v Speaker 4>needed money at that time, you should have said, okay,

0:28:32.080 --> 0:28:34.640
<v Speaker 4>I can see how shipping containerization is going to make

0:28:34.640 --> 0:28:37.720
<v Speaker 4>you a much larger company. Where nobody else seemed to

0:28:37.880 --> 0:28:40.720
<v Speaker 4>see that, right, Certainly the furniture makers in North Carolina

0:28:40.760 --> 0:28:43.080
<v Speaker 4>didn't see it. So I think this is the box

0:28:43.120 --> 0:28:45.840
<v Speaker 4>that you evaluate things in. And as a long time investor,

0:28:45.880 --> 0:28:48.120
<v Speaker 4>I'm used to evaluating and I trying not to come

0:28:48.200 --> 0:28:50.240
<v Speaker 4>up with ideas, you know, that said it has to

0:28:50.240 --> 0:28:52.680
<v Speaker 4>be a knowledge intensive industry. And I think something that

0:28:52.720 --> 0:28:54.760
<v Speaker 4>I said in the essay, which I wish I had

0:28:54.800 --> 0:28:57.960
<v Speaker 4>said more about, was the companies that tried to use

0:28:58.360 --> 0:29:01.520
<v Speaker 4>shipping containerization to cut costs so that they can increase

0:29:01.600 --> 0:29:05.800
<v Speaker 4>margins did poorly. Oh this is key, Whereas the companies

0:29:05.800 --> 0:29:09.320
<v Speaker 4>that use the efficiencies and passed the efficiencies onto the

0:29:09.320 --> 0:29:13.200
<v Speaker 4>consumers so that they could become larger became larger. Right.

0:29:13.240 --> 0:29:15.080
<v Speaker 4>I mean this is you look at these people saying, oh,

0:29:15.080 --> 0:29:17.240
<v Speaker 4>we have AI, We're going to fire people. I mean,

0:29:17.240 --> 0:29:18.960
<v Speaker 4>that's I think is the exact wrong move. And I

0:29:19.000 --> 0:29:21.880
<v Speaker 4>think it's probably just every you know, every new thing

0:29:21.920 --> 0:29:23.960
<v Speaker 4>comes along, people like, oh it's we're going to fire people.

0:29:24.160 --> 0:29:25.880
<v Speaker 4>You know, it's just an excuse. But but if you're

0:29:25.880 --> 0:29:29.040
<v Speaker 4>firing people because of AI, you're doing it wrong. Right.

0:29:29.120 --> 0:29:31.200
<v Speaker 4>You should be using AI to say I can use

0:29:31.240 --> 0:29:33.320
<v Speaker 4>my people to do more. I can grow my company,

0:29:33.360 --> 0:29:36.200
<v Speaker 4>I can vary my products, I can take more market share.

0:29:36.480 --> 0:29:38.600
<v Speaker 3>So the value goes to the consumer. And I guess

0:29:38.680 --> 0:29:42.280
<v Speaker 3>you capture the value by selling more right, more knowledge?

0:29:42.360 --> 0:29:45.640
<v Speaker 4>Yeah, I mean I think Walmart never tried to maximize margins.

0:29:46.240 --> 0:29:47.760
<v Speaker 3>They it was it was volume.

0:29:47.840 --> 0:30:08.240
<v Speaker 2>Yeah, Okay, from a consumer standpoint, why do I care

0:30:08.360 --> 0:30:13.120
<v Speaker 2>if your workflow internally at your company is become more

0:30:13.120 --> 0:30:15.920
<v Speaker 2>efficient things AI, either the product is better or new

0:30:15.960 --> 0:30:16.360
<v Speaker 2>or something.

0:30:16.520 --> 0:30:16.680
<v Speaker 4>You know.

0:30:16.680 --> 0:30:18.240
<v Speaker 2>I was thinking about this. I don't mean to like

0:30:18.240 --> 0:30:21.960
<v Speaker 2>pick on anyone, but situating like open door meme Stock

0:30:22.040 --> 0:30:24.160
<v Speaker 2>they have new CEO. He sent out this memo. He's

0:30:24.160 --> 0:30:27.239
<v Speaker 2>like everyone has to do start using A or it's

0:30:27.320 --> 0:30:30.160
<v Speaker 2>clearly a press release in the form of an internal

0:30:30.200 --> 0:30:33.080
<v Speaker 2>memo because it got it I think waving.

0:30:32.840 --> 0:30:34.120
<v Speaker 3>A flag going us.

0:30:34.960 --> 0:30:38.360
<v Speaker 2>It's like, yeah, but like, does the economics of buying

0:30:38.400 --> 0:30:41.480
<v Speaker 2>homes via whatever get better? Like does it actually make

0:30:41.520 --> 0:30:44.800
<v Speaker 2>the business better? This strikes me as very interesting, this

0:30:44.960 --> 0:30:48.400
<v Speaker 2>idea that like, it's not gonna it's just not that exciting,

0:30:48.560 --> 0:30:52.000
<v Speaker 2>especially any sort of customer oriented company, which I guess

0:30:52.080 --> 0:30:54.920
<v Speaker 2>is all companies. The fact that AI has become part

0:30:54.920 --> 0:30:57.440
<v Speaker 2>of their workflow. It's the electric knife effect, right, So

0:30:57.880 --> 0:30:59.760
<v Speaker 2>I don't know that effect we might.

0:30:59.640 --> 0:31:01.760
<v Speaker 4>Just call that, but I mean electric knives are one

0:31:01.800 --> 0:31:03.800
<v Speaker 4>of the fastest growing consumer products in the late nineteen

0:31:03.840 --> 0:31:07.400
<v Speaker 4>sixties because people are like, oh, we are electrifying things,

0:31:07.240 --> 0:31:10.640
<v Speaker 4>like let's electrify the knife and within like three years

0:31:10.640 --> 0:31:12.680
<v Speaker 4>they were in some massive percentage of households, like eighty

0:31:12.720 --> 0:31:15.840
<v Speaker 4>percent of American households had an electric knife and things

0:31:15.880 --> 0:31:18.640
<v Speaker 4>like you know, the blender didn't get adopted that quickly.

0:31:18.680 --> 0:31:21.840
<v Speaker 4>But who has an electric knife now? Right? It's I

0:31:21.840 --> 0:31:24.440
<v Speaker 4>think people take whatever it is the technology is and

0:31:24.480 --> 0:31:27.000
<v Speaker 4>say this is everything. I mean, back in you know,

0:31:27.120 --> 0:31:29.960
<v Speaker 4>the early two thousands, late nineteen nineties, every company was

0:31:29.960 --> 0:31:32.520
<v Speaker 4>an Internet company. Right. Do people walk around saying that's

0:31:32.520 --> 0:31:34.480
<v Speaker 4>an Internet company? Now are you an Internet company? I

0:31:34.520 --> 0:31:37.720
<v Speaker 4>mean everybody's an Internet company. Everybody uses it. It's the baseline.

0:31:37.760 --> 0:31:41.200
<v Speaker 4>That's I think the what a revolutionary technology does is

0:31:41.320 --> 0:31:43.880
<v Speaker 4>it becomes part of everything. So, yeah, you're right. Consumers

0:31:43.920 --> 0:31:46.360
<v Speaker 4>don't care that your you know, your lawyer's using AI.

0:31:46.440 --> 0:31:48.560
<v Speaker 4>They want to make sure that they have good legal advice. Yeah.

0:31:48.720 --> 0:31:51.959
<v Speaker 3>Our producer just messaged Dash saying that he had an

0:31:51.960 --> 0:31:54.320
<v Speaker 3>electric knife. Oh does he have Probably not in the

0:31:54.360 --> 0:31:55.080
<v Speaker 3>nineteen sixties.

0:31:55.080 --> 0:31:56.240
<v Speaker 2>There do you have one?

0:31:56.240 --> 0:31:56.440
<v Speaker 4>Now?

0:31:57.600 --> 0:32:01.240
<v Speaker 2>My mom might have one case that didn't get picked.

0:32:01.120 --> 0:32:01.680
<v Speaker 4>Up on the audio.

0:32:01.840 --> 0:32:04.680
<v Speaker 3>Well, his mom might still have one. Dash, will you

0:32:04.680 --> 0:32:06.360
<v Speaker 3>bring it in for us and we can we can

0:32:06.560 --> 0:32:07.160
<v Speaker 3>use it as a.

0:32:07.120 --> 0:32:11.080
<v Speaker 2>Prop I'm just imagining like going to a restaurant at

0:32:11.080 --> 0:32:13.000
<v Speaker 2>the time it's like, oh, we slice your bread with

0:32:13.040 --> 0:32:15.840
<v Speaker 2>electric knives. That are like how unexciting that would be

0:32:15.880 --> 0:32:19.160
<v Speaker 2>From a consumer stand I don't care, you know.

0:32:19.360 --> 0:32:21.880
<v Speaker 3>Yeah, I guess that's true, but okay, but things are

0:32:21.880 --> 0:32:24.640
<v Speaker 3>different from a shareholder standpoint, right. And one of the

0:32:24.680 --> 0:32:28.200
<v Speaker 3>reasons we see when companies say that they are using

0:32:28.280 --> 0:32:31.680
<v Speaker 3>AI the share price goes up, it's because shareholders expect

0:32:31.720 --> 0:32:35.520
<v Speaker 3>all these easy cost cutting gains. Do we have any

0:32:35.560 --> 0:32:38.840
<v Speaker 3>indication that investors are actually going to be patient and

0:32:38.920 --> 0:32:41.719
<v Speaker 3>wait for I guess the value to spread to the

0:32:41.760 --> 0:32:45.280
<v Speaker 3>consumer or are they just going to demand basically these

0:32:45.520 --> 0:32:46.880
<v Speaker 3>fast cuts.

0:32:47.120 --> 0:32:50.320
<v Speaker 4>Will And I mean, I'm not a stock market investor.

0:32:50.400 --> 0:32:53.480
<v Speaker 4>Yeah I know, I know you're stock marketing, you know.

0:32:53.560 --> 0:32:57.280
<v Speaker 4>I think they have a very short attention span. There's

0:32:57.280 --> 0:32:59.000
<v Speaker 4>a great quote in that article that you see in

0:32:59.000 --> 0:33:01.160
<v Speaker 4>the eighties where the Wall Streetjournal said, you know, there

0:33:01.200 --> 0:33:03.240
<v Speaker 4>was the beginning of the eighties, there was a craze

0:33:03.240 --> 0:33:06.719
<v Speaker 4>and anything that ended with an onyx rightes right, it

0:33:06.760 --> 0:33:10.280
<v Speaker 4>was people were right funny, but it was a short

0:33:10.280 --> 0:33:13.000
<v Speaker 4>lived one because it didn't really deliver. And then people

0:33:13.000 --> 0:33:14.320
<v Speaker 4>were like, all right, let's move on and do something

0:33:14.320 --> 0:33:15.920
<v Speaker 4>else or invest in something else.

0:33:16.000 --> 0:33:18.440
<v Speaker 2>So funny, if I were writing a fiction about the eighties,

0:33:18.520 --> 0:33:21.040
<v Speaker 2>I would immediately I would say, like applied fouxtronics or

0:33:21.080 --> 0:33:23.120
<v Speaker 2>something that. Yeah, right, yeah, I hadn't thought about that.

0:33:23.120 --> 0:33:23.680
<v Speaker 2>That's amazing.

0:33:23.920 --> 0:33:27.240
<v Speaker 4>So I think they want results. But I think it's

0:33:27.320 --> 0:33:30.000
<v Speaker 4>two people are impatient. I mean, I was kidding, but

0:33:30.080 --> 0:33:32.080
<v Speaker 4>I'm not kidding. People are impatient. They want to see

0:33:32.120 --> 0:33:34.280
<v Speaker 4>results today. I don't think AI is going to show

0:33:34.320 --> 0:33:38.600
<v Speaker 4>you the real revolutionary results for a decade. Taking AI

0:33:38.720 --> 0:33:40.520
<v Speaker 4>and just retrofitting it on to the way you do

0:33:40.560 --> 0:33:43.040
<v Speaker 4>things now is only going to add a little bit

0:33:43.040 --> 0:33:46.720
<v Speaker 4>to your efficiency. You have to actually re engineer everything

0:33:46.760 --> 0:33:50.880
<v Speaker 4>around this, change your processes, hire different people, or get

0:33:50.920 --> 0:33:53.320
<v Speaker 4>you know, train people, and then you're going to see

0:33:53.360 --> 0:33:54.040
<v Speaker 4>big efficiencies.

0:33:54.120 --> 0:33:56.680
<v Speaker 3>You got to have prompt training in schools, right in

0:33:56.760 --> 0:33:59.000
<v Speaker 3>high schools or something. Well, we were talking about this

0:33:59.080 --> 0:34:01.800
<v Speaker 3>with Tyler Cowen earlier and he had, you know, a

0:34:02.000 --> 0:34:02.680
<v Speaker 3>similar point.

0:34:03.200 --> 0:34:06.960
<v Speaker 2>Are big companies setting aside? Okay, like, yeah, it's not

0:34:07.080 --> 0:34:10.560
<v Speaker 2>very exciting that a big company is able to marginally

0:34:10.760 --> 0:34:12.919
<v Speaker 2>reduce their workforce. I think a lot of those are fake.

0:34:12.960 --> 0:34:14.400
<v Speaker 2>I have a feeling a lot of these companies are

0:34:14.440 --> 0:34:16.160
<v Speaker 2>going to have to end up having to hire people

0:34:16.200 --> 0:34:19.319
<v Speaker 2>back when these things don't work, or they had nothing

0:34:19.360 --> 0:34:22.319
<v Speaker 2>to do with AI and they just wanted to do layoffs.

0:34:22.760 --> 0:34:27.520
<v Speaker 2>Can legacy institutions like there's some like inherent roadblock to

0:34:27.600 --> 0:34:32.440
<v Speaker 2>the degree to which legacy institutions can incorporate on AI

0:34:32.640 --> 0:34:34.160
<v Speaker 2>Or is this the type of thing where it's just

0:34:34.200 --> 0:34:38.880
<v Speaker 2>going to be entities that didn't exist before becoming really

0:34:38.880 --> 0:34:40.080
<v Speaker 2>big household names.

0:34:40.280 --> 0:34:42.319
<v Speaker 4>No, I think it will be legacy. I mean I

0:34:42.320 --> 0:34:45.279
<v Speaker 4>think you know, Walmart was legacy, Ikia was legacy. It

0:34:45.360 --> 0:34:47.680
<v Speaker 4>may not be the names you expect, right, Sears and

0:34:47.680 --> 0:34:50.920
<v Speaker 4>Woolworths didn't really benefit from shipping containerization. They ended up

0:34:50.960 --> 0:34:52.960
<v Speaker 4>going out of business. I think you have to have

0:34:53.040 --> 0:34:56.680
<v Speaker 4>the right attitude of how you're going to utilize the

0:34:56.680 --> 0:35:00.560
<v Speaker 4>efficiencies it brings within your business again, to grow your business,

0:35:00.560 --> 0:35:04.759
<v Speaker 4>not to grow your CEO's salary. Right, you have to

0:35:04.760 --> 0:35:07.239
<v Speaker 4>be spreading this to the consumers for your company to

0:35:07.280 --> 0:35:08.680
<v Speaker 4>be successful, all Right.

0:35:08.760 --> 0:35:12.000
<v Speaker 3>In the intro, Joe made fun of Sid saying something

0:35:12.040 --> 0:35:15.560
<v Speaker 3>completely rational. It Yeah, I know, I know, but this

0:35:15.680 --> 0:35:19.440
<v Speaker 3>is your joke, right, Okay, So I'm gonna ask the

0:35:19.480 --> 0:35:22.680
<v Speaker 3>cliched question in that theme, are we in a bubble?

0:35:25.239 --> 0:35:29.560
<v Speaker 4>Can you define bubble? No? I should.

0:35:29.880 --> 0:35:32.480
<v Speaker 2>I think the question should be asked liberally.

0:35:32.600 --> 0:35:35.239
<v Speaker 4>It's like, are things overvalued?

0:35:35.520 --> 0:35:36.400
<v Speaker 3>Are things overvalued?

0:35:36.640 --> 0:35:38.960
<v Speaker 4>Yes, but there's a difference between things being overvalued in

0:35:39.000 --> 0:35:41.200
<v Speaker 4>the bubble, right, and I think things are overvalued, and

0:35:41.320 --> 0:35:44.719
<v Speaker 4>I think there may be an infrastructure bubble. In the

0:35:44.800 --> 0:35:48.240
<v Speaker 4>article I wrote for classes as a chart of container

0:35:48.320 --> 0:35:50.960
<v Speaker 4>ships being built, of shipping ships being built, and you

0:35:51.000 --> 0:35:54.880
<v Speaker 4>can see this huge rise right after containerization started for

0:35:55.120 --> 0:35:56.919
<v Speaker 4>a bunch of years, and then it dropped back off

0:35:56.960 --> 0:35:59.400
<v Speaker 4>because now people had their ships, but everybody had to

0:35:59.400 --> 0:36:02.000
<v Speaker 4>get into the same time. Everybody had to go order ships.

0:36:02.120 --> 0:36:04.440
<v Speaker 4>A ton of ships were being built, and then the Capex,

0:36:04.440 --> 0:36:05.640
<v Speaker 4>you know, and then they were like, okay, now we

0:36:05.680 --> 0:36:09.160
<v Speaker 4>have ships. It's a little different with chips because chips

0:36:09.200 --> 0:36:11.239
<v Speaker 4>aren't gonna last you know, yeah, or a long a

0:36:11.239 --> 0:36:14.560
<v Speaker 4>container ship last thirty fifty years. But I do think

0:36:14.640 --> 0:36:16.799
<v Speaker 4>that you're not going to need as many chips in

0:36:16.840 --> 0:36:20.560
<v Speaker 4>the future as you are buying today. Really well, you know,

0:36:21.120 --> 0:36:23.359
<v Speaker 4>you're gonna have more use of AI. Probably there's gonna

0:36:23.360 --> 0:36:26.040
<v Speaker 4>be more use. But I also would think they would

0:36:26.040 --> 0:36:30.280
<v Speaker 4>become more efficient in compute. That's just the history of compute.

0:36:30.320 --> 0:36:32.440
<v Speaker 3>Does your definition of a bubble, does that have to

0:36:32.480 --> 0:36:34.719
<v Speaker 3>include a buildup of leverage of some sort.

0:36:35.280 --> 0:36:38.000
<v Speaker 4>Well, I lived through the dot com bubble, so yeah,

0:36:38.040 --> 0:36:40.560
<v Speaker 4>I would say so, right, because you're not seeing that right? Well,

0:36:40.560 --> 0:36:42.799
<v Speaker 4>because I think a bubble popping has to hurt. And

0:36:42.880 --> 0:36:46.000
<v Speaker 4>if Microsoft loses a billion dollars, that doesn't hurt. Doesn't

0:36:46.040 --> 0:36:48.960
<v Speaker 4>hurt any I mean, sure it hurts whoever's invested that

0:36:49.000 --> 0:36:49.880
<v Speaker 4>money at Microsoft, but it.

0:36:49.880 --> 0:36:53.040
<v Speaker 2>Doesn't who has which is everyone who is a four

0:36:53.120 --> 0:36:53.440
<v Speaker 2>one K?

0:36:53.719 --> 0:36:55.920
<v Speaker 4>Well, I guess, but I mean, really, Microsoft loses a

0:36:55.920 --> 0:36:58.560
<v Speaker 4>billion dollars, how much does that affect their stock price?

0:36:59.080 --> 0:37:01.480
<v Speaker 4>And even if the stock win down ten percent, that's

0:37:01.160 --> 0:37:03.480
<v Speaker 4>not a It's not like the dot com bubble. Right

0:37:03.480 --> 0:37:06.080
<v Speaker 4>When that popped, people were laid off, the economy went

0:37:06.080 --> 0:37:08.040
<v Speaker 4>to a recession. I mean it was pretty deep recession.

0:37:08.360 --> 0:37:10.120
<v Speaker 4>Took a while to kind of pull ourselves back out

0:37:10.160 --> 0:37:10.359
<v Speaker 4>of that.

0:37:10.680 --> 0:37:13.239
<v Speaker 2>Talk to us more about the dot com bubble. I

0:37:13.560 --> 0:37:16.160
<v Speaker 2>tried to bring it up in every conversation because that's

0:37:16.160 --> 0:37:19.279
<v Speaker 2>when I got interested in markets, did a little day

0:37:19.320 --> 0:37:22.280
<v Speaker 2>trading in those days when I was in college, et cetera,

0:37:22.560 --> 0:37:26.080
<v Speaker 2>and I just remember that period very fondly because I

0:37:26.120 --> 0:37:28.640
<v Speaker 2>was young. What do people get wrong in their memories

0:37:28.640 --> 0:37:29.640
<v Speaker 2>of the dot com bubble?

0:37:29.960 --> 0:37:32.640
<v Speaker 4>So here's the thing I remember most about the bubble.

0:37:33.000 --> 0:37:35.160
<v Speaker 4>I was a corporate VC. I worked for a big

0:37:35.200 --> 0:37:36.880
<v Speaker 4>company here in New York for to my front of company.

0:37:37.200 --> 0:37:40.040
<v Speaker 4>And one of the companies I had invested in was

0:37:40.040 --> 0:37:42.600
<v Speaker 4>a public company and they were raising more money. This

0:37:42.719 --> 0:37:44.960
<v Speaker 4>was in January, right for the bubble popped right.

0:37:45.000 --> 0:37:47.880
<v Speaker 2>Was the peak was in market in March two thousand.

0:37:47.960 --> 0:37:51.200
<v Speaker 4>Then it was January two thousand, so the company was

0:37:51.200 --> 0:37:52.680
<v Speaker 4>selling stock. They said, hey, you know, if you want

0:37:52.680 --> 0:37:54.399
<v Speaker 4>to buy some more stock in our company, we'll sell

0:37:54.440 --> 0:37:56.840
<v Speaker 4>to you without the underwrited discount or before the underwted discounts.

0:37:56.880 --> 0:37:58.600
<v Speaker 4>We'd get it a seven percent below the market price.

0:37:59.080 --> 0:38:01.840
<v Speaker 4>And I went to CFO of this giant company and

0:38:01.880 --> 0:38:03.840
<v Speaker 4>I said, hey, we can get a good deal on

0:38:03.880 --> 0:38:06.040
<v Speaker 4>this stock. We can get seven percent off, right, who

0:38:06.080 --> 0:38:08.560
<v Speaker 4>doesn't love a bargain? And he said, well, do you

0:38:08.600 --> 0:38:11.360
<v Speaker 4>think the company is worth that price? I said, no,

0:38:11.360 --> 0:38:14.880
<v Speaker 4>nowhere near. He's like, so why are you buying it?

0:38:14.960 --> 0:38:17.440
<v Speaker 4>I'm like, oh, I guess that's a good point. He's like,

0:38:17.480 --> 0:38:20.719
<v Speaker 4>so why would we still own it? And it's like,

0:38:20.800 --> 0:38:22.840
<v Speaker 4>that's also a good point, right, which why aren't we

0:38:22.880 --> 0:38:25.200
<v Speaker 4>selling this if it's overvalued? I mean the thing that

0:38:25.200 --> 0:38:28.160
<v Speaker 4>people forget is everybody knew it was overvalued. They were

0:38:28.160 --> 0:38:29.719
<v Speaker 4>all just waiting for it to go up more before

0:38:29.760 --> 0:38:32.200
<v Speaker 4>they sold. And he said this, and I'm like, yeah,

0:38:32.200 --> 0:38:34.200
<v Speaker 4>I guess better to sell early than late. And we

0:38:34.280 --> 0:38:36.719
<v Speaker 4>ended up selling that entire position, which luckily paid for

0:38:36.719 --> 0:38:39.400
<v Speaker 4>the whole portfolio before the bubble popped.

0:38:39.840 --> 0:38:42.560
<v Speaker 2>This is a I mean, I think this is there's

0:38:42.600 --> 0:38:45.799
<v Speaker 2>sort of the difference between John Authors had a really

0:38:45.800 --> 0:38:48.200
<v Speaker 2>good newsletter I think about a year ago, which is.

0:38:48.160 --> 0:38:50.799
<v Speaker 3>There, you're just awsletters I'm doing.

0:38:50.920 --> 0:38:53.560
<v Speaker 2>I'm doing my job to Bloomberg. I like, but it

0:38:53.640 --> 0:38:55.920
<v Speaker 2>was basically like, you know, you get these situations like

0:38:55.960 --> 0:38:58.640
<v Speaker 2>dot Com where everyone said this is massively overvalued. We

0:38:58.680 --> 0:39:02.840
<v Speaker 2>all know, we all It's then you have bubbles that

0:39:02.920 --> 0:39:05.839
<v Speaker 2>are more like the housing bubble, in which I don't

0:39:05.880 --> 0:39:09.320
<v Speaker 2>think on any sort of traditional metrics the banks were overvalued.

0:39:09.360 --> 0:39:11.239
<v Speaker 2>I think probably the pees are probably normal. It's just

0:39:11.239 --> 0:39:15.399
<v Speaker 2>that the earning extreme was entirely unsustainable and I guess

0:39:15.480 --> 0:39:17.919
<v Speaker 2>that's the question with AI, Like I don't know, videos

0:39:17.920 --> 0:39:19.719
<v Speaker 2>prebaby expensive, but like I don't think people think it's

0:39:19.760 --> 0:39:23.799
<v Speaker 2>like crazy stretched on pees. It's more the question of,

0:39:23.840 --> 0:39:28.279
<v Speaker 2>like is this chip demand at this pace sustainable? Like

0:39:28.320 --> 0:39:30.000
<v Speaker 2>are the earnings estimates realistic?

0:39:30.239 --> 0:39:32.480
<v Speaker 4>Right? Well, but I mean the economist said the housing

0:39:32.760 --> 0:39:34.520
<v Speaker 4>housing was overpriced in two thousand and.

0:39:34.400 --> 0:39:38.319
<v Speaker 2>Five, right, the homes were, yeah, the banks, you know,

0:39:38.400 --> 0:39:41.680
<v Speaker 2>but the banks got obliterated. And it was not because

0:39:41.840 --> 0:39:45.080
<v Speaker 2>the ratios of the banks were completely out of way,

0:39:45.120 --> 0:39:48.160
<v Speaker 2>because just the profits could not be sustained by any

0:39:48.160 --> 0:39:51.560
<v Speaker 2>stretch at that point. Anyway, I think it's an interesting distinction.

0:39:51.840 --> 0:39:53.759
<v Speaker 3>Well, I think there's still an open question with AI

0:39:54.000 --> 0:39:57.760
<v Speaker 3>about the network of relationships that are sort of driving

0:39:57.920 --> 0:40:00.440
<v Speaker 3>a lot of this business. Like that's where I would

0:40:00.440 --> 0:40:03.160
<v Speaker 3>see some of the maybe two thousand and seven two

0:40:03.200 --> 0:40:06.440
<v Speaker 3>thousand and eight analogy actually being true. This idea that

0:40:06.520 --> 0:40:10.000
<v Speaker 3>like you have this whole system of funding with banks

0:40:10.239 --> 0:40:13.480
<v Speaker 3>that's keeping the whole machine going, but when the collateral

0:40:13.800 --> 0:40:16.960
<v Speaker 3>that's underpinning that system suddenly loses value, the whole thing

0:40:17.000 --> 0:40:20.480
<v Speaker 3>falls apart. You could maybe make a sort of similar

0:40:20.560 --> 0:40:22.960
<v Speaker 3>argument for AI, where you have this network of companies

0:40:23.000 --> 0:40:25.200
<v Speaker 3>that are sort of investing and selling to each other.

0:40:25.560 --> 0:40:29.520
<v Speaker 3>If the value of the underlying asset, which I guess

0:40:29.520 --> 0:40:33.359
<v Speaker 3>would be compute in this case, starts to fall really precipitously,

0:40:33.400 --> 0:40:36.879
<v Speaker 3>the whole thing kind of collapses. But I'm stretching that.

0:40:37.120 --> 0:40:39.759
<v Speaker 4>It's amazing to me how much of the lessons we

0:40:39.840 --> 0:40:42.200
<v Speaker 4>learned in the nineties people just don't know or remember.

0:40:42.200 --> 0:40:44.440
<v Speaker 4>I mean, the whole blank check company thing. We did

0:40:44.480 --> 0:40:47.319
<v Speaker 4>that in nineteen ninety nine, right, and it'll fill all

0:40:47.360 --> 0:40:49.680
<v Speaker 4>the SPACs, right, and it's totally failed, and then people

0:40:49.680 --> 0:40:52.279
<v Speaker 4>did it again. It was crazy to me. And it's

0:40:52.360 --> 0:40:54.719
<v Speaker 4>kind of circular. Yeah, I know, right, Yeah, I mean

0:40:54.760 --> 0:40:57.520
<v Speaker 4>it's still a bad idea. And I think the circular

0:40:57.520 --> 0:40:59.800
<v Speaker 4>revenue was also happened in the nineties and that was

0:40:59.840 --> 0:41:01.600
<v Speaker 4>all also a bad idea. You'd think that people could

0:41:01.680 --> 0:41:03.640
<v Speaker 4>see that and factor that out.

0:41:03.920 --> 0:41:06.320
<v Speaker 2>Gotta have so many questions. Why are specs a bad idea?

0:41:06.360 --> 0:41:09.319
<v Speaker 2>On paper? It seems like a totally fine way to

0:41:09.360 --> 0:41:13.040
<v Speaker 2>go public. In practice, it only seems like total garbage

0:41:13.080 --> 0:41:14.160
<v Speaker 2>companies take that route.

0:41:14.320 --> 0:41:15.480
<v Speaker 3>It feels self selecting.

0:41:15.840 --> 0:41:19.279
<v Speaker 4>Yeah, well, of course, because the way they're structured to

0:41:19.280 --> 0:41:20.879
<v Speaker 4>get people to invest in a company you don't even

0:41:20.880 --> 0:41:23.440
<v Speaker 4>know what it is yet, it means that it's not

0:41:23.560 --> 0:41:27.120
<v Speaker 4>great for the companies, right, you get a ton of yeah,

0:41:27.320 --> 0:41:29.080
<v Speaker 4>oh right, that's just leakage.

0:41:29.280 --> 0:41:31.000
<v Speaker 2>Well, just explained the mechanism again.

0:41:31.160 --> 0:41:32.799
<v Speaker 4>So people, you know, if you put money into a spack,

0:41:32.960 --> 0:41:34.200
<v Speaker 4>when they decide they're going to do a deal, you're

0:41:34.200 --> 0:41:35.520
<v Speaker 4>allowed to take your money back out of the spack.

0:41:35.560 --> 0:41:37.719
<v Speaker 4>I can't remember all the details, all right, Right, So

0:41:38.120 --> 0:41:39.759
<v Speaker 4>if you're like, well it's a good deal, I'll leave

0:41:39.760 --> 0:41:42.520
<v Speaker 4>my money in. But if you're the company being acquired,

0:41:42.960 --> 0:41:44.400
<v Speaker 4>you don't know if you're going to be acquired or not,

0:41:44.440 --> 0:41:46.960
<v Speaker 4>because people could take their money out. So just why

0:41:47.000 --> 0:41:49.080
<v Speaker 4>wouldn't if you could go public on your own, you

0:41:49.080 --> 0:41:52.280
<v Speaker 4>would prefer to do that. So by definition, the spacks

0:41:52.280 --> 0:41:55.240
<v Speaker 4>are buying companies that couldn't go public on their own, right, right?

0:41:55.520 --> 0:41:58.560
<v Speaker 3>Is VC investing fun again? I got the impression like

0:41:58.600 --> 0:42:03.000
<v Speaker 3>two years ago everyone was pretty depressed, and I'm quite

0:42:03.040 --> 0:42:04.959
<v Speaker 3>sure we did a few episodes on it at the time.

0:42:05.040 --> 0:42:06.600
<v Speaker 3>But are people having fun again?

0:42:07.040 --> 0:42:10.040
<v Speaker 4>Well again, I retired, so no, nobody's having fun. I

0:42:10.080 --> 0:42:12.080
<v Speaker 4>wasn't having fun. I think if you have a billion dollars.

0:42:12.080 --> 0:42:14.759
<v Speaker 4>It's probably fun if you're doing the big deals. I

0:42:14.800 --> 0:42:19.000
<v Speaker 4>think if you're in AI, it's fun. If you're doing

0:42:19.080 --> 0:42:21.959
<v Speaker 4>anything else, it should be fun if you're doing something

0:42:22.000 --> 0:42:25.960
<v Speaker 4>besides AI. Right, because now everybody's distracted by the shiny

0:42:26.000 --> 0:42:28.360
<v Speaker 4>new thing, you can go find companies that are interesting

0:42:28.360 --> 0:42:30.239
<v Speaker 4>to you and invest. The problem is you have to

0:42:30.280 --> 0:42:32.560
<v Speaker 4>worry about what happens a year from now when they

0:42:32.600 --> 0:42:35.480
<v Speaker 4>need the next round. Is anybody going to be paying attention?

0:42:36.320 --> 0:42:38.359
<v Speaker 4>I think it's probably pretty hard to be an early

0:42:38.400 --> 0:42:41.399
<v Speaker 4>stage investor unless you're investing in AI. And if you're

0:42:41.400 --> 0:42:45.719
<v Speaker 4>investing in AI, you're probably not writing small checks, low valuations,

0:42:46.400 --> 0:42:49.360
<v Speaker 4>and you can't control the outcome at the end. You

0:42:49.360 --> 0:42:51.640
<v Speaker 4>can only control what you do at the beginning, so

0:42:52.400 --> 0:42:54.240
<v Speaker 4>you probably won't be making money.

0:42:54.440 --> 0:42:57.400
<v Speaker 2>I have this theory that actually nobody likes bubbles or

0:42:57.440 --> 0:43:00.879
<v Speaker 2>booms even but let's say bubbles in part like, if

0:43:00.880 --> 0:43:03.839
<v Speaker 2>I missed it, I'm upset because someone else is getting rich.

0:43:04.280 --> 0:43:06.600
<v Speaker 2>If I'm in it, I'm like really anxious. Am I

0:43:06.600 --> 0:43:08.880
<v Speaker 2>gonna like I'm anxious about two things. I'm anxious. Am

0:43:08.920 --> 0:43:10.399
<v Speaker 2>I going to sell it at the right time? I'm

0:43:10.400 --> 0:43:12.960
<v Speaker 2>also kicking myself for not investing more. No matter how

0:43:13.000 --> 0:43:16.400
<v Speaker 2>much I invested, I'm upset with myself for not having

0:43:16.440 --> 0:43:17.040
<v Speaker 2>invested more.

0:43:17.280 --> 0:43:17.680
<v Speaker 4>Is that right?

0:43:17.760 --> 0:43:20.439
<v Speaker 2>This is just my impression when I read history, which

0:43:20.440 --> 0:43:22.480
<v Speaker 2>is that everyone, even in the boom times, there's like

0:43:22.520 --> 0:43:25.319
<v Speaker 2>this like din of like stress underneath. Is that true?

0:43:25.360 --> 0:43:29.800
<v Speaker 2>Or am I just fantasy projecting how my own neuroses

0:43:29.880 --> 0:43:31.480
<v Speaker 2>from birth onto.

0:43:31.560 --> 0:43:32.960
<v Speaker 3>Everyone thinks they're gonna time it.

0:43:32.960 --> 0:43:35.480
<v Speaker 4>Right, But it's fun. The bubbles are fun, especially if

0:43:35.520 --> 0:43:38.040
<v Speaker 4>you're young and stupid. Right, there's the New Yorker cartoon.

0:43:38.120 --> 0:43:40.919
<v Speaker 4>I want my bubble back. Yeah. Yeah. The flip side

0:43:41.000 --> 0:43:43.480
<v Speaker 4>is it is stressful. I remember, well, its stressfull both

0:43:43.640 --> 0:43:47.320
<v Speaker 4>after obviously I still have my Razor of His stock certificates.

0:43:47.400 --> 0:43:50.120
<v Speaker 4>I had a certificated because I couldn't sell it for anything,

0:43:50.280 --> 0:43:52.319
<v Speaker 4>you know, for any real money, and that at one

0:43:52.320 --> 0:43:53.520
<v Speaker 4>point had been worth quite a bit of a month

0:43:53.760 --> 0:43:54.040
<v Speaker 4>more than.

0:43:54.239 --> 0:43:56.520
<v Speaker 2>Again, I remember, what did that company do? It is

0:43:56.560 --> 0:43:57.719
<v Speaker 2>like an ad network or something.

0:43:57.800 --> 0:44:01.240
<v Speaker 4>No, No, they built websites. Oh yeah, yeah, I remember.

0:44:01.600 --> 0:44:03.200
<v Speaker 4>They were great. I mean they were a great company

0:44:03.239 --> 0:44:04.760
<v Speaker 4>when nobody else knew how to build websites.

0:44:04.880 --> 0:44:07.520
<v Speaker 2>Friends who worked for Razor fish even as like recently.

0:44:07.520 --> 0:44:08.719
<v Speaker 2>It is like twenty ten.

0:44:08.800 --> 0:44:09.640
<v Speaker 4>They sort of hung on.

0:44:09.719 --> 0:44:12.400
<v Speaker 2>For a little while. Jerry Newman, thank you so much

0:44:12.440 --> 0:44:14.439
<v Speaker 2>for coming on odd lot. It's been wanting to chat

0:44:14.480 --> 0:44:17.240
<v Speaker 2>with you for a long time, and I really appreciate

0:44:17.280 --> 0:44:32.120
<v Speaker 2>your joining us. Yeah, thank you both, Tracy. I love

0:44:32.200 --> 0:44:35.759
<v Speaker 2>that conversation. There's a lot there. I mean, obviously, I'd

0:44:35.800 --> 0:44:38.880
<v Speaker 2>like anytime we can talk about the nineties bubble, but

0:44:38.920 --> 0:44:42.520
<v Speaker 2>I had never really thought about or any come anywhere

0:44:42.560 --> 0:44:46.319
<v Speaker 2>close to thinking about the AI analogy with containerization. It's

0:44:46.320 --> 0:44:48.799
<v Speaker 2>a little embarrassing because that's such a core topic for us.

0:44:48.840 --> 0:44:51.359
<v Speaker 2>We've talked about boxes so many times, but it's sort

0:44:51.360 --> 0:44:54.040
<v Speaker 2>of re orient my thinking of AI and thes term

0:44:54.320 --> 0:44:54.880
<v Speaker 2>very helpful.

0:44:55.080 --> 0:44:57.080
<v Speaker 3>Yeah. Well, I mean this just kind of proves the

0:44:57.120 --> 0:45:00.239
<v Speaker 3>point that no one thinks of containerization. I mean, I

0:45:00.280 --> 0:45:02.640
<v Speaker 3>said before, it is a technology story. And one of

0:45:02.719 --> 0:45:04.480
<v Speaker 3>the reasons I do think of it that way is

0:45:04.520 --> 0:45:06.840
<v Speaker 3>because I read that book The Box, Yeah, which is

0:45:06.920 --> 0:45:08.960
<v Speaker 3>really good, but no one thinks about it as an

0:45:09.040 --> 0:45:12.759
<v Speaker 3>investment story. No, because of the reasons that Jerry just

0:45:12.840 --> 0:45:13.239
<v Speaker 3>laid out.

0:45:13.440 --> 0:45:16.120
<v Speaker 2>Yeah, No, that's really interesting, and you know, again like

0:45:16.200 --> 0:45:21.480
<v Speaker 2>it does feel at some point that non tech businesses

0:45:21.719 --> 0:45:28.040
<v Speaker 2>non AI businesses. Eventually someone hopefully for the industry, like

0:45:28.160 --> 0:45:31.600
<v Speaker 2>makes a lot of money actually using these tools because

0:45:31.600 --> 0:45:34.719
<v Speaker 2>we've been in the picture shovels phase or whatever. But

0:45:34.840 --> 0:45:39.439
<v Speaker 2>at some point maybe it's an existing healthcare company or etc.

0:45:39.920 --> 0:45:42.880
<v Speaker 2>Or maybe it's a new kind of law firm or

0:45:42.920 --> 0:45:46.080
<v Speaker 2>an incumbent law firm where it's like, Okay, we have

0:45:46.200 --> 0:45:49.800
<v Speaker 2>found a way to use this technology in a manner

0:45:50.040 --> 0:45:52.640
<v Speaker 2>that is very profitable, productive, and market expanses.

0:45:52.680 --> 0:45:55.000
<v Speaker 3>So to me, that's the key thing. So the key

0:45:55.000 --> 0:45:57.040
<v Speaker 3>thing is it's not that we're going to use this

0:45:57.120 --> 0:46:01.520
<v Speaker 3>technology necessarily to cut costs and boost profit margins. It's

0:46:01.560 --> 0:46:04.440
<v Speaker 3>that we will actually expand our customer base and make

0:46:04.480 --> 0:46:07.880
<v Speaker 3>it up in volume by selling more knowledge.

0:46:08.040 --> 0:46:11.960
<v Speaker 2>You know, it's interesting thing that Jerry said, and you

0:46:12.040 --> 0:46:16.000
<v Speaker 2>put into words something that I hadn't really thought about before,

0:46:16.320 --> 0:46:19.480
<v Speaker 2>but this idea about being at the end of this

0:46:19.600 --> 0:46:23.319
<v Speaker 2>sort of computer revolution, and there is something about AI

0:46:23.520 --> 0:46:27.160
<v Speaker 2>specifically where people it's like and it can't really literally

0:46:27.200 --> 0:46:29.480
<v Speaker 2>be this where it's like, well, this is the last technology,

0:46:29.560 --> 0:46:30.320
<v Speaker 2>right because.

0:46:30.520 --> 0:46:32.399
<v Speaker 3>Because we're gonna get robots, yeah, right.

0:46:32.719 --> 0:46:35.239
<v Speaker 2>And I don't know if like other booms or technological

0:46:35.280 --> 0:46:37.640
<v Speaker 2>revolutions had this feeling where it's like, this is the

0:46:37.719 --> 0:46:41.680
<v Speaker 2>last one. Theoretically, if you get Agi or whatever robots,

0:46:41.920 --> 0:46:45.760
<v Speaker 2>you don't need any further technological innovation, et cetera. It creates,

0:46:45.800 --> 0:46:49.959
<v Speaker 2>I think, a very weird, uncomfortable dynamic. But the idea

0:46:50.000 --> 0:46:51.920
<v Speaker 2>of AI is the end of what we do with

0:46:51.960 --> 0:46:55.600
<v Speaker 2>computers rather than the start of like something genuinely new

0:46:55.680 --> 0:46:58.960
<v Speaker 2>like that actually like snaps into place a lot of

0:46:58.960 --> 0:46:59.480
<v Speaker 2>thoughts for me.

0:46:59.600 --> 0:47:01.360
<v Speaker 3>Once we invent God, we're done.

0:47:02.520 --> 0:47:02.879
<v Speaker 4>We're done.

0:47:02.880 --> 0:47:04.000
<v Speaker 2>Everything else takes care of it.

0:47:04.040 --> 0:47:06.080
<v Speaker 3>So yeah, all right, shall we leave it there?

0:47:06.160 --> 0:47:06.799
<v Speaker 2>Let's leave it there?

0:47:06.840 --> 0:47:07.160
<v Speaker 4>All right?

0:47:07.200 --> 0:47:09.600
<v Speaker 3>This has been another episode of the oud Lots podcast.

0:47:09.680 --> 0:47:12.880
<v Speaker 3>I'm Tracy Alloway. You can follow me at Tracy Alloway.

0:47:12.520 --> 0:47:15.160
<v Speaker 2>And I'm joll Wisenthal. You can follow me at the Stalwart.

0:47:15.320 --> 0:47:18.160
<v Speaker 2>Follow our guest Jerry Newman, He's at g A Newman.

0:47:18.400 --> 0:47:21.640
<v Speaker 2>Follow our producers Carmen Rodriguez at Carman armand dash Ol

0:47:21.640 --> 0:47:25.000
<v Speaker 2>Bennett at Dashbod and Keil Brooks at Kilbrooks. More odd

0:47:25.040 --> 0:47:27.680
<v Speaker 2>Lots content go to Bloomberg dot com slash odd Lots.

0:47:27.680 --> 0:47:30.520
<v Speaker 2>We've been daily newsletter and all of our episodes and

0:47:30.520 --> 0:47:32.720
<v Speaker 2>you can chat about all of these topics with fellow

0:47:32.760 --> 0:47:37.040
<v Speaker 2>listeners in our discord Discord dot gg slash od Lots and.

0:47:37.040 --> 0:47:39.160
<v Speaker 3>If you enjoy odd Lots, if you like it when

0:47:39.200 --> 0:47:40.960
<v Speaker 3>we talk to you about why you're not going to

0:47:41.040 --> 0:47:43.600
<v Speaker 3>get rich from AI, then please leave us a positive

0:47:43.600 --> 0:47:46.520
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0:47:46.600 --> 0:47:49.120
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