Ep14. Public Market Volatility, AI Air Pocket, $GOOG Ruling | BG2 w/ Bill Gurley & Brad Gerstner

9 Aug 2024 · 1 h 26 min

Ask about this episode

Ask anything about it. ChatGPT or Claude reads this page and answers with the times it was said.

Connect VO and ask about every podcast you hear, including the moments you saved. Add to ChatGPT · Add to Claude

In short

BG2Pod - Episode 14 Summary

Episode Details

  • Title: Ep14. Public Market Volatility, AI Air Pocket, $GOOG Ruling
  • Hosts: Brad Gerstner & Bill Gurley
  • Topics: Public market volatility, tax cut expiration, economic indicators, AI developments, Google ruling, and more.

Timestamps

  • (00:00) Intro
  • (02:27) Public Market Reset
  • (13:04) Corporate and Individual Tax Cut Expiration
  • (16:40) Indicators of Economic Health
  • (30:40) AI Air Pocket
  • (46:02) Japan Yen Carry Trade
  • (50:34) Navigating Market Volatility
  • (56:30) $GOOG Ruling & Monopoly Status
  • (01:05:21) Search GPT and Evolving AI Landscape
  • (1:18:17) The Need for Regulatory Clarity in AI

Key Discussions

Public Market Volatility

  • The hosts discussed recent volatility in public markets, noting significant declines in indices:
  • S&P 500: Down 8%, impacting $4 trillion in market value.
  • NASDAQ-100 (QQQ): Down 11%.
  • Bill Gurley compared the current volatility to the crash of 1987 but emphasized that the situation is not as dire as in the past.

Economic Indicators and Tax Cuts

  • Expectations of corporate and individual tax cuts expiring in 2025 are causing concern about potential impacts on consumer spending and market performance.
  • Earnings Misses: The hosts noted a slowdown in earnings beats, with 48% of companies reporting positive revenue beats, the lowest level since 2019.
  • Signs of Slowing Economy: Concerns over consumer delinquencies and rising unemployment rates were highlighted as signals of a potential recession.

AI Air Pocket

  • Discussion about potential issues in the AI sector, particularly the risk of overestimation in AI spending vs. actual revenue generation.
  • The importance of maintaining a balance between capital expenditure (CapEx) and revenue was emphasized.

Japan Yen Carry Trade

  • The hosts analyzed the recent volatility in the Japanese markets:
  • The Bank of Japan's decision to raise interest rates after 17 years led to significant market reactions.
  • A discussion on the impact of carry trades, where investors borrow in yen and invest in higher-yield assets globally, highlighted the risks involved when interest rates change unexpectedly.

$GOOG Ruling & Monopoly Status

  • A landmark ruling declared that Google used unfair tactics to maintain its monopoly on search engines, particularly through exclusive deals with Apple.
  • Gurley and Gerstner debated the implications of the ruling and potential remedies, questioning whether consumer choice would lead to meaningful competition in the search engine space.

Search GPT and Evolving AI Landscape

  • The impact of new AI technologies, particularly the introduction of Search GPT, was discussed in light of competition with Google.
  • The hosts expressed skepticism about whether these AI initiatives would capture significant market shares or lead to meaningful disruptions.

Regulatory Clarity in AI

  • The need for clearer regulations surrounding AI technologies was emphasized, particularly in light of the rapid developments and potential implications for competition and innovation.

Key Takeaways

  • The current public market environment is marked by volatility, with significant corrections following a period of rapid growth.
  • Economic indicators are pointing to potential slowdowns, prompting discussions about risk management and portfolio adjustments.
  • AI technologies and their financial viability remain uncertain, with risks of an "AI air pocket" affecting investor sentiment.
  • The recent Google ruling may reshape the competitive landscape for tech giants, emphasizing the importance of antitrust scrutiny in maintaining fair market practices.
  • There is a pressing need for regulatory clarity in the rapidly evolving AI sector to balance innovation with competitive fairness.

Conclusion This episode of BG2Pod delves into various aspects of the current economic landscape, including market volatility, impending tax changes, the state of AI technologies, and significant legal rulings affecting major players like Google. The insights shared by Brad Gerstner and Bill Gurley provide a comprehensive overview of the intertwined relationship between market dynamics, technological advancements, and regulatory challenges.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Hear the part that matters, and keep it.Open this episode in VO. Double tap your headphones to save a moment as you listen.
Get VO free

Transcript

Automatic transcript. May contain errors.

0:00the idea that we're going to go through this phase shift. With cap X and revenues perfectly aligned and perfectly matched, right? It would be the first major phase shift we went through where that's the case.

0:23Hey, Bill. Good to see you. So much for a smooth, nice exit to the summer. I mean, what a week. They're rough summer. I mean, it reminds me of this video going around with Peter Lynch in it. You know, it's 1987. He's managing the Magellan fond. I think it has like 12 billion bucks in it. He finally, his wife convinces him to go away to play a couple days of golf in Ireland, right? Yeah. And it's hard to actually keep track of the market in 1987. He says in two days, his fund goes from 12 billion to 8 billion. He's like, I took two days and he lost 30 % of the value in his fund. Oh, rough, rough.

1:04I don't think it's been that bad, but it's been bad. It's been a lot of stocks have been reset pretty dramatically here. And one thing that I thought would be great and to talk about today is just to spend a lot of time on these public markets. This is a world you live in every day. I did participate. I had a brief career as a Southside analyst. Arguably three decades ago. So I consider myself more of a sideline player of the public markets, but I do pay attention. I've often said the public market through the buyers of private companies. And you got to know them. You got to know them. You got to study them.

1:43You got to know what they want to buy. So I do pay attention. But let's focus it your way. So just to run down some numbers, S &P down 8%, which wiped out $4 trillion. The QQQ down 11%. There were three worst days since March of 2020. Max seven's down $1 trillion. Crypto, which you kind of would have thought maybe would have rallied with what's going on. Didn't. It traded down in sympathy and so that. And we've seen this a bit where you hope for the, you hope for it to be uncorrelated. And then oh shit, it's correlated. And then everyone's talking about Buffett jumping out of his Apple position.

2:24So you did speak about taking risk off at the beginning of the summer. And it looks like that was a smart move. Congratulations. But tell us what you think you're seeing out there. And how people should put all this in perspective. I think that's that's the key. This is not 1987. In fact, we've seen this big bounce back the last couple of days. And while we've been having these big gyrations, you know, if you just put it in context, since Q1 of 2023, remember when everybody was really nervous at the start of 23 about Mike Wilson's hard landing. So that's just six quarters ago. Right after chat GPT hit the screens, you know, stocks are up 60%.

3:08I mean, that's a huge move in six quarters. And the cues were up nearly 80 % at their peak in July. Many individual stocks have more than doubled like Nvidia. So, you know, I put what's happened this week and what's happened over the course of the last month in kind of run of the mill, healthy consolidation of these big gains that we had in these six quarters. But, you know, what I said at the beginning of summer, you know, we're active managers, right? So I live with one foot in the venture markets where we think about five or 10 year time horizons. But in the public markets, we have to think about risk reward every day.

3:47And as stocks have run up, it has been accompanied by what we think is a deterioration in some of the conditions, right? So this means the skew has gone from very positive at the start of 2023 when everybody was nervous to, you know, a little more negative by the beginning of the summer. And, you know, just like when you and I are playing in a game, our house game, a poker, when the skew gets more negative, when cards get turned over, when our probabilities of winning dissipate, we got to reduce the bet size. So, you know, I talked a couple of weeks ago about reducing units of risk. And I got some questions online about that.

4:28So here's a really simplified depiction of how we were thinking of things in January of 2023 and how we were thinking of things, you know, at the start of July in 2024, right? So as you can see on this chart, at the beginning of 23, we looked at it, prices were in the toilet. So you started with really low prices. We expected big earnings beats because consensus was really beaten down. People were super negative on where earnings would come in. And we expected there to be rate cuts which would be further stimulatory of the economy. So we looked at it and just again, very simplistically, we said, hey, we think there's an 80 % chance that the names that we like and technology can be up a lot because we expected big earnings beats.

5:13So up 50%. But the future's unknown. So there could have been a hard landing. So he said, there's 20 % chance. The market can be down, but it's already down so much that we think let's call it down 10%. And when we looked at that skew, that's what I would call highly positive skew, right? It's like five to one or four to one risk reward. We put on nine units of risk. So what's nine units of risk? Well, let's assume. Yeah, what is nine units of risk? So let's say that you're managing $5 billion of public equities. Nine units of risk would be that you have four and a half billion of that risk directionally long the market, right?

5:54So that could either be that, you know, that your longs are more than 100 % and you have some shorts on, or let's just keep it simple here and say that you have 95 % of your cash invested or 90 % of your cash invested, right? And four and a half billion directionally long the market. Okay. Now, as the chart depicts by the summer of, by the beginning of the summer, we were worried about a variety of things. The first of which is prices had just gone up a lot, Bill, right? We were at all time highs. And the moves had been fairly parabolic in a lot of the names that you and I talked about. And we had talked on this pod about concerns over an AI air pocket.

6:36And people were pointing out that Nvidia was up multiples in a very short period of time. So we looked at it and we said we got high prices. We've got an upcoming election where there's going to be, you know, some real binary things that play including higher taxes, which we think would be a negative for the market. We started to see our earnings expectations, which were just in line with consensus, or in some cases we expected misses to occur. Okay. And we were increasingly concerned about the prospect of a recession because we started to pick up these signs of slowing in the economy. And then you and I had talked a lot about this AI air pocket.

7:15So by the beginning of this summer we said there's no longer an 80 % chance of a 50 % upside like we saw at the beginning of 23. Now there's an 80 % chance that we could have a 20, you know, 10 to 20 % downside, right? Yeah. And the move up, the 20 % chance was like, wow, we're at all time highs. We could see this squeeze a little bit higher, but between here and the election, we think the probability of going much higher is fairly low. So we had much lower units of risk. What's that mean? It means we sell some of our longs, or we put edges on, or we add to our short positions, so that our net exposure, directionally to the market, right, is three units of risk, not the nine units of risk that we had had on earlier.

7:59So that's really what I was saying, you know, in a simplified way, that we tend to have longer holding periods. We hold things about three years in the public markets. Obviously in the venture markets, we're holding things 10 years, but that doesn't mean that you buy and go to sleep. Just like in a poker game, you got to watch when things change. They don't change every day, but over the course of the last six quarters, that risk reward has indeed changed. Then, I mean, the NASDAQ shot up about 33 % in that window from January to the first week of July. And I think a lot of the people in Silicon Valley didn't really feel that, because they may still be anchoring on some of these multiples from two years ago.

8:44And so when the stat, I hear people say, oh my God, SAS is super cheap. It's six times revenue. And I'm like, you know, I've worked, I've seen industries mature, where six ain't to stop and point, you know? And of course, you got to move on to net income. And earnings and cash flow and get out of this revenue mindset. But anyway, yeah, so I think you time that exactly right. And obviously now we're looking at all of these new issues that have come to the table. D, what do you think are the key issues that have been changing? And how do we want to think about each and every one of them? Well, first, you know, as price goes up, mathematically risk reward gets worse, right?

9:30Unless we're taking up our numbers. So the first problem is our numbers stopped going up a lot. And so, you know, price really matters. In 2023, we kept revising those numbers up. And in 2024, right, the numbers didn't go up a lot. And so we're much more in line with consensus. But in addition to that, we see five forces really at play. We've been focused on three. And then two more came into play over the course of the past six, eight weeks, but the five forces we've been thinking about Bill, number one is taxes, right? We got this election coming up and remember, depending upon who wins the election, we have the potential of an automatic tax increase in 2025.

10:11See, expiration of the personal income tax reductions from the Trump tax cuts. And if that happens, you're talking about personal income taxes, not corporate taxes. Right, we can dive into that in a sec. Number two, we're worried about earnings misses or just skinny beats. And general slowing in the economy, right? So this is things like consumer delinquencies. Number three, was a concern about this AI air pocket. That prices had come up so much, expectations had come up so much. You know, would we have, you know, as Satchis said to us a few weeks ago, right, this mismatch between CapEx and when the actual revenues start to come in.

10:55And then just in the last few weeks, right, we had two more geopolitical factors emerge. One was around this huge Japanese carry trade on wine, which we can dive into a little bit. And then the last one was just this expanding saber rattling in the Middle East, potential of an expansion of the conflict with Iran. All of these things, right, creates a bit of a toxic brew. And, you know, of course, like the futures unknown, a bunch of these things could break positive. But it means that there's more uncertainty in the world. And when that uncertainty goes up, the discount rate, the margin of safety you need on your portfolio goes up.

11:35And that means that the multiples on these stocks come down. So that's really, those are really the things that we've been paying attention to. In addition, obviously, to what companies we expect to do best, which ones we expect to underperform. And that's what causes us to modulate from nine units of risk to three units of risk. And these are all things that change, right? There's a perception. There's obviously been a perception shift on the election, which can affect something there. There was a general perception that the soft landing was stuck using these Olympic matter for. And so that's a change.

12:15If we're thinking about a recession again, the AI shift we've talked a lot about, the paying carry trade kind of came out of nowhere. So we'll dive into that. And then on the Iran issue, and I just clarify for people, I mean, obviously, any war is bad, obviously, and it can lead to a lot of horrible things for citizens and people. I think one of the reasons you're bringing up relative to the US markets is because it could cause an oil shock and back -and -impact oil prices, which obviously has a huge impact on the economy. Is that correct? Yeah, certainly. Certainly. Okay. Cool. Well, let's take them one by one and dive in while you start with the tax thing.

12:57Well, you know, so we talked about this, I think, on episode 11 or something. You know, the tax situation we're facing going into this election is a very different situation than we've had in prior presidential elections, right? There's always debates in presidential elections about higher taxes, lower taxes. And of course, like we never know whether or not they'll actually follow through on those promises, whether or not those things will happen. But in this situation, we have tax cuts that automatically are set to revert back to prior levels, right? So remember, the corporate tax cuts were made permanent when they were passed, brought the corporate tax rate from 35 % down to 21%.

13:39So if a new administration came in, let's say the Harris administration came in, and they wanted to raise corporate taxes, they would have to get that through Congress, which would be a very difficult thing to do, right? Given the fact that we expect to continue to have divided government, but the individual tax cuts, which included increasing the child tax credit, the standard deduction, it's worth about $150 billion a year to put it in perspective, right? That's about 60 basis points on US GDP. And we're talking about the marginal federal income tax. Correct. So this is everybody's rates came down under Trump.

14:20We also increased the standard deduction. We increased the child tax credit and think about that. That's like pushing $150 billion of consumer firepower into the economy. Now, you know, there's a lot of debate about whether we can afford this as a country, you know, whether it actually gets spent and added to GDP or save, whether it's fair, I'm making a different point, right? Set aside what you think politically, but from a market perspective, if taxes were to go up by $150 billion a year, this is a big risk to the market. And the market seems to currently be saying the likelihood, right? We know what the betting markets are saying.

15:00They're saying there's a Kamala is now favored to win the election by a slight amount, right? And as the probability of her winning has gone up, the market has gotten more concerned about these tax increases, right? And some people have estimated that the tax decreases from the Trump tax cuts contributed to about 20 % of the gains in the S &P 500. So whatever your number is, if those tax cuts go away, you have to assume that will be a headwind, at least in the short term for the markets. Can you not make an argument? I mean, depending on exactly who is impacted as to whether or not those taxes come out of discretionary money that would be available to spend.

15:48Yeah, I'm not saying for an ultra -wealthy person, it's not going to matter. It's not going to affect your spending. Of course. And so like that's what I was saying at the start, there's some debate, right? We know if the tax cuts were 150 billion. It's unlikely that all 150 billion of that was stimulatory, right? Because some people just put it into increased savings. But we know when you look at the bulk of the people who are recipients of those tax cuts, right, they've spent down their COVID stimulus checks, right? They've increased their credit cards, right? And whatever incremental take home pay they got as a result of these tax cuts is being spent.

16:28So that had to have some stimulatory effect on the economy. Okay. Let's dive into the next one, which I think is the one that's for me at least most interesting, which is, and you know, because I've been very outspoken. I try and avoid macro at all costs. So this is, this is, this is, you're feeling very uncomfortable today. Yes, awkward journey for me. But, but, you know, just out listening to the, to the ethos and it did appear that the common point of view was that a soft landing had been achieved or that it was going to be achieved. And there was a lot of, you know, high fives and ta -da's and I told you shows.

17:08And so to take, to reconsider that and take that off the table is a big deal. So what, what are you seeing out there? And, and what's causing people to use the recession word again? Yeah. No, I, I think you're, you're spot on right. I mean, right? The, the markets were at all time high bill and in, in July. So I mean, I think that's telling you, I don't know that there was an 80 % chance of a soft landing. Now, we started to get some, some data coming in that suggested maybe the economy was softening faster than, getting softer faster than people think. So for example, the wayfar CEO, you know, wayfar is a company that provides cheap home furnishings.

17:49We know that housing is under pressure because interest rates remain very high. You know, the CEO came out and said customers remain cautious and they're spending on the home and our credit card data suggests that the category correction now mirrors the magnitude of the peak to trough decline the home furnishing space experience during the great financial crisis. Right? That's pretty extraordinary. Right? You have the CEO of a home furnishing thing, you know, company saying this looks like it did in 2008. Right? Airbnb is now, go ahead. Yeah, go ahead. Airbnb reported just last night, you know, they talked about some softness, you know, that they're seeing.

18:29Jamie Dimey was just on CNBC on, on the flip side and he said, listen, my expectation all year is that there was a 30, 35 % chance that we're going to have a soft landing and my view remains the same today. But I think Jamie was probably in the more conservative camp. The market was pricing in an 80 % chance of a soft landing. He was at 30 or 35 % chance and I think that's probably where the market is beginning to price it. And on top of that, so we have, we have about 80 % of the companies. Let me ask you a quick question while you're on that topic. So I also saw Disney gave soft guidance on the theme park business and universal had said the exact same thing.

19:13So, you know, I know you used to be very focused on the travel sector when you look at theme park revenue and you look at Airbnb revenue. What does it tell you when the consumers having second thoughts about those types of expenditures? Right. Well, the first thing they do is, you know, when things are starting to get tight is you defer your couch. And that's what wayfar scene. The second thing you do is you defer your family trip, right? You hold onto that family trip because that's the most important thing you do during the year. But when Airbnb and Disney and the cruise lines and the airlines start seeing down ticks, now you know that the consumer is really getting pressured.

19:54So there is no. Is it so it's not just the theme parks and Airbnb? No, this is that we're hearing this across the board and travel. We're seeing it in implements, air ticket prices. Again, not at a level that should cause one to think we're interrestation or panic, but undoubtedly in my mind, we're slowing. And if you just look at the companies that have reported in the S &P, 80 % of companies have now reported. 48 % of them had a positive revenue beat. Now that sounds like a lot. But it's the lowest level since the third quarter of 2019. And remember, there's a trailing indicator. This is what happened over the course of the last three months.

20:32So again, that's another thing I think we ought to pay attention to. And then of course, our jobs report have come in week. The Jolts, which is the job openings are below trend. And that trend has been in place for quite a while. And then, you know, the unemployment rate, you know, has been climbing most recently, you know, 4 .3%. Many economists think, in fact, I was talking with a former chairman of the Council of Economic Advisors last night, they think this is the best indicator of appending recession. There's something known as the Som Rule. We'll put it in the notes. But they said, according to the Som Rule, a recession is almost always underway.

21:15If the three month average unemployment rate rises by half a percentage point from its low of the past year, and that's exactly what's happened. So a lot chatter on Twitter about how the Som Rule has been triggered. So there's good reason to think that where there's a lot of slowing going on. There's a lot of debate as to whether or not this is just the healthy slowing that Jerome Powell needed to engineer to bring inflation down. But, you know, there is a saying that the Fed has caused 10 of the last eight recessions. You know, that they have post -traumatic stress. They were late to get in front of inflation in June of 2021.

21:57They were late to increase rates. And so I think it's reasonable that they may be late to reduce interest rates to head off a recession. And do you expect them to do something quickly? There was talk this week of like an emergency cut, but although I think that's weight -wained. Yeah, I mean, listen, I think it's important to realize first that the Fed is at a multi -decade high in terms of its level of restrictiveness in the economy. So what do I mean by that? Well, the Fed funds rate is at five and a half percent, right? The 10 year is at four percent. So the market -based mechanism for saying where rates are going to be is 150 basis points lower than where the Fed funds rate is.

22:47Another it's a bit of an esoteric thing, but you know, it's currently at 1 .8 percent and 50 basis points is viewed as neutral. So this is kind of highly restrictive. And the way to think about this is this is the amount you have to be compensated over, you know, the interest rate in order to bear the risk of inflation. So the measure of economic restrictiveness is high. You know, and inflation is coming down. In fact, the last inflation print was 3 percent. CPI gets reported again next week. We expect that to be the market expects that to be around 2 .9 percent. So I think there's very little doubt.

23:30The Fed is going to cut rates. The market is saying now that there is a very high probability.

23:45We'll over the course of the next four to five months. Now to put this in perspective bill, that just gets us back to neutral, right? This is not some, oh my god, we're in a recession. This is just saying we're no longer as worried about inflation. We're more worried about jobs. We have a dual mandate. And so we're going to get back closer to neutral. I would actually point you. There was a really great interview this week with Chicago Fed President Goolsbee. Thinks perhaps that the Fed is already behind the curve on this. When he was asked whether they would do an emergency cut, you know, I think the emergency cut is off the table.

24:23But he said, he said this. He said, I have been saying to you that we have been in a very restrictive stance. The real Fed funds rate is that it's peak for the cycle. And we should only have that restrictiveness in place if there's a fear of overheating. And the data is weakening. So it does not look like there's any fear of overheating. And then he went on to say, while weaker than expected, we're not yet in a recession. But we need to be forward looking. There are other cautionary indicators. Consumer delinquencies are rising. Small business defaults are rising. They are at worrisome levels.

25:00Though the domestic purchases seem steady. So I think within the Fed, they know that the balance of power between concern over inflation and jobs has shifted. So I expect that on schedule in 30 days, I think it's mid -September, you're going to get a rate cut. The market saying it's going to be 50 basis points followed by a few other rate cuts. That sounds right to me. But Jeremy Siegel was on Squawk Box calling for an emergency 75 basis point rate cut followed by another 75 basis points. And listen, I think that that would probably spook the market worse than if they just stay the course here.

25:43Because that would suggest the economy's falling off a cliff. And I don't see evidence that's falling off a cliff. And so the interpretation is worse than the value of the action, if you will, about the signaling. The whole Fed thing is kind of like intriguing to me. Because the world starts talking about it like it's a thermostat. Oh, honey, it's hot in here. Can you turn it down? As if the one thing that's always going to fix the market. And there's 40 ,000 other variables out there. It looks like both parties that are running for the White House want to do isolationism and fight globalism. That's inflationary.

26:30There's been a massive overspending by the last three or four administrations. And so national debt's higher than it's ever been. That's a problem. Like who's to say that even if the Fed does cut, we're going to see just like an immediate, okay, we're fine. Like the doctor gave you a shot and you're okay. We got used to or maybe addicted to rate cuts and every time rates would go down and kind of bail out the markets and markets would go up. But remember, historically rate cuts that are preceding a recession or fears about a recession are oftentimes sold, right? It doesn't cause the market to go up.

Read the full transcript

27:11It actually causes the market to go down. You know, our team was looking at some data in 2019. In 2018, there was fear about the economy slowing. The Fed starts cutting rates at the beginning of 2019. And the market was down big, right? It's down big because it thought we were heading into a recession. So it took a, you know, probably six months for the market to rebound from that. And a much worse version of this happened in 2001 that you and I remember well, right? The Fed continued to raise rates in May of 2000, worried about the dot com boom and that the market was overheating, but they were way behind the curve.

27:51And we all saw the economy really slowing down and signs of the dot com bubble bursting. They were late to the game. By the time they started cutting rates in the beginning of 2001, it was clear they were behind that the economy was cascading into a recession. And the Nasdaq was down over 20%. And so I don't think, you know, as market participants, when we're weighing all the risk reward here, we're not sitting here saying, oh, the Fed's going to cut rates and that in and of itself, you know, fends off a recession. We need to make sure that we continue to see earnings come in strong. You know, that one, that particular situation, there's one thing that people seem to have a really hard time remembering after the famous quote about irrational exuberance from Alan Greenspan, the Clinton administration actually lowered capital gains tax rates, which fed into that problem.

28:45And probably shouldn't have should have been raising them. Anyway, so, so let me ask you this question. Once again, macro bill here. What are the chances that you get probably the worst situation of all where the Fed cuts and nothing positive happens? Like there's no positive impact to growth. Is that a possibility in this case? Yeah, I mean, listen, I think the markets are already doing the Fed's job, right? Remember that a lot of variable rate debt is priced off of where the tenure is and the tenure has already, you know, come down. So people's mortgage, you know, you can already go get a cheaper mortgage.

29:28You can, your credit card debt is already coming down, et cetera. So this is the dynamic. And the marginal impact of the Fed lowering to those long term rates is not going to be that big. Correct. I don't expect it to be that big, but it does signal directionally, right? That the market is right. Remember, the market will ultimately adjust to where where the Fed is. So the Fed, it's not to say that the Fed funds rate is, you know, is not important. I would say this, what's far more important about whether we end the year higher or lower is not whether the Fed cuts rates. It's what is the economic growth?

30:06What is the unemployment? What is the CPI? What's really going on in the underlying economy? And again, just again, telescoping out here. So you have this concern about taxes. We're not going to know the answer to that until after the election. You got this concern about recession. You know, the Fed can cut rates in September. That doesn't make that concern go away. That concern is still going to be out there until we see additional inputs on economic growth, you know, come in. And then of course, this third one that, you know, we were talking about Bill, which is just concerns over this AI air pocket, which you've been beating the drum on.

30:45Okay. Yeah. Well, I mean, look, I think to a certain extent, that's played out, right?

30:54I would have called AI stocks in video being the most obvious, but I think the max seven, a lot of them are exposed to this. They've all come in, right? And so you and I had the discussion, you know, we'd been having it all summer, but then the Goldman thing came out and the SCOA thing came out and then the stocks retreated. So could you make the argument that that bubble's been popped already? Well, I, you know, again, like I said at the beginning, I think these are healthy consolidations, right? Like what you don't want, what a bubble is made of is when everybody believes when there's no talk about an air pocket and when stocks just, you know, elevate to ridiculous multiples, I think here, you know, you've seen Nvidia come down from 140 to I think at bottom, dead a hundred or 95 bucks, it's probably a 105 today.

31:46And so, but we did learn some things in the earnings reports of the last two weeks, Bill, that I think we should call out in terms of what meta said, what, what Google said, what, what, what Microsoft said about their CapEx and about AI spending. Here's some charge from my partner, Frieda Dwan. And if you look at the big four, they're going to spend 220 billion this year on CapEx, you know, and if you look at their statements on these calls, right? Soon, Dar said it's more dangerous to underspend than to overspend, right? Sacha said, they're still capacity constrained. So they need to continue to make these investments.

32:27So I think in the short run, all of these companies meta said basically the same, Amazon the same, they're going to keep the hammer down on CapEx because they're seeing the return, their capacity constraint, and they're worried about not making the investments, right? So if you compare this to the quarterly and the annual expectations, we took people through on the pod for Nvidia, right? Here's this chart. We talked about this $2 billion that's got to get, or $2 trillion that Jensen said would likely be spent between now and 2028 on data center build out. And, you know, the green line descending line in the middle, right?

33:09This is if you just take the consensus numbers for Nvidia and what that means for their share of the market over this period of time. So the consensus numbers, while Nvidia's numbers continue to go up a lot, right? And they're going to report in two weeks here. But if we look at Nvidia's quarterly expectations or their annual expectations, so this year, they're expected to do about $136 billion of data center revenues next year, that goes to $166 billion. So up by about, you know, $30 billion, obviously the rate of growth is slowing a lot. But when you compare that to the statements out of the big four, you know, it certainly seems to foot, right?

33:52It seems that they're going to continue to spend. And I think the real question as to the air pocket now, right? Like this could have been very different. They could have got on their earnings call bill and they could have said we're pulling back on CapEx because we're not seeing the return. Okay. None of them said that. They all said the opposite. But I think the question that remains out there is whether they're going to see the revenue on the other side of the equation, right, to justify that return. And they've all cautioned us that they expect that there's, there may be a lag between these two things.

34:28You know, what was interesting, the CFOs of Microsoft and Meta, Amy and Susan were quick to point out that if the revenues don't materialize, that they don't actually have to build out the data center shells, right, that they're acquiring. They said these are 15 year long live assets. And so we have flexibility in how, you know, we manage those assets. Yeah. And obviously Meta has other uses for internal use and could redeploy those things. And cool. Well, I have three thoughts about this. You know, and one of them does go back 30 years to when I was a Southside analyst and I followed the PC industry through really through a Tadek, like the big growth years of the PC industry and PC demand and growth was overestimated and underestimated five different times, you know, where where where you would have these cycles.

35:27And I was right. It was interesting because a lot of the commodities would become in short supply. So DRAM was one and hard drives hard drives were this really interesting wild market where you would have boom bus cycles and shortages and there were always, they're almost always out of step with reality. And I remember there's just this bizarre thing where you had to buy hard drive companies when their PE was the highest because that was actually when everyone had the worst view possible of their earnings possibilities. Right. Right. And then you literally sold it when when the the PE was the lowest because the net income was was at a peak.

36:14Anyway, one of the reasons that happens. One of the reasons why that's so out of whack is that bringing capacity on to build a hard drive or a DRAM is slow. It's not an overnight process. And the one thing I would say about these data centers and I was I was just kind of my brain was triggered on that from something I read on Twitter this morning where someone was literally walking through the steps you have to go to do a fire land to get electricians on board to do all these things. And whenever you have this kind of really long cycle time to actually bring up incremental capacity, it's easier to miss supply and demand.

36:57And so anyway, I think part of what's causing me to have a bit of anxiety is that fact that and I and with and I also think when people are talking about Nvidia, they talk about data center growth as demand. But because everyone the end users buying these things as a cloud service, I kind of like, well, that's supply. That's not demand. Like people are aggressively growing supply. So I don't know. It's super interesting. I think from a venture point of view, you're hopeful that there's so much demand for this stuff that they never catch up. Exactly. When I look at it from a from just from a a neutral observer standpoint, though, I do worry that you could get out over your skis.

37:45And then two other things I would add to that. This is one of the very first waves where the incumbents were eyes wide open at the beginning of the technology shift. If you go back and read the innovators dilemma, you know, the the reasons startup companies are able to come in and take shares often because precisely because the incumbents are slow -footed and aren't there. Here, they moved quick. I think Microsoft and Sacha are just the poster trial for this. Like here is a company that's very what 35, 40 years old. And everyone thought, you know, had had had had its better better days behind it.

38:27And they came in and moved fast and people loved it. And the stock was rewarded for it. And I even think their earnings have been positively impacted by it. And so that is so they moved big. They moved fast and it worked. And so now I think that's in their psyche, right? And so that means they're going to keep playing that game because it's working. So that's that's another thing. And then lastly, and this is pure conjecture on my part. So I did not hear this from anybody. Everyone can just say Gerlis out on a limb here. But my reading the tea leaves, and this relates to the point I just made, is that they don't want the independent AI companies to take, you know, what they see is rightfully theirs.

39:19And we've been through a couple of waves here where we're capital availability's dramatically improved for private companies. And you know, you and I lived through this with Uber and and Division Fund and Mossin, all the money and and DoorDash got all the and it really perverted the market. And so now I think incumbents are aware that if companies get breakout potential, they can raise unlimited capital. And so to a certain extent, I think they're pushing back. They're saying, look, this is this is a game we're in. You look at Zuckerberg like, you know, with the open source stuff, he's just being very aggressive.

40:01And I think one of the objective functions may be just precisely to make it more difficult for open AI or inthropic to raise, you know, $10 billion that they need to fund the next two model builds. And now you've got people, you know, trying to project income statements and balance sheets of these companies and they're speculating about whether they might need to raise again or not. So I think all that's super interesting and unprecedented. Very insightful. What's what's fair to say at this point, you know, again, in the context of the risk -facing public markets, we were worried about the AI air pocket.

40:43It seems we've traversed the 2025 CapEx concern cycle, right? They are going to continue to spend. What we don't have insights into is that end user demand that you talk about. And I think it's really interesting why you say the bigs are going to continue to spend. And in fact, some of these take -unders, you know, the characters, the inflections, etc. certainly suggest that competing against the bigs. I mean, in the case of open AI and inthropic, right, they partnered with them. They're owned a lot by, you know, Microsoft and Amazon at this point in time. So it's hard to find somebody who you think can go the distance at that scale that's truly independent.

41:28And by the way, regardless of whether the investors got paid, maybe we can go deeper in that later on these take -under deals. It is a capitulation, no matter what. Like even if, even if it were a normal M &A deal, and it was at $3 billion and still a great return for investors, the founders are saying in the inflection case in character AI, they're saying, hmm, not sure I want to keep playing the independent game anymore. Yeah, it may have just been very difficult to raise private capital in an up -around, you know, in this environment. I mean, because you know you're going to have to go compete with Google, with Microsoft, with Meta, you know, they're not going to stop spending.

42:10And they have a printing press that's spitting out $10 billion bills in the back room. Well, and I've got hundreds of billions sitting in cash anyway. Exactly. So yeah, they like, and this, I think you brought this up, or maybe we saw sides to talk about it, like, okay, we're spending 50 billion a year on CapEx, but look at all this cash we got sitting around. And the FTC says we can't do acquisitions. What are we supposed to do? Like, then that's another factor. Maybe that's a fourth factor. Yeah, three things you can do, Bill. You can buy your own stock, you can issue an dividend, or you can buy Nvidia chips.

42:47They're doing it. Yeah, exactly. I think they're doing all three. Yeah, they're be interesting. You know, I, they're obvious, huge wins in AI. You know, we've already talked about Tesla and full self -driving. I think all the core AI opportunities, non -Ela Lim, where they've actually figured out how to go from A to B and get better at what you're doing through AI. Those are fantastic. I think the the language oriented things around customer service, and where you're literally replacing the notion of someone either talking or doing a search. I know you're a big fan of Glean, and that's that is a type of, I think I could, I could restate that what it is is a super -enhanced corporate, search product that helps you find things that have been scattered around the organization.

43:45Yeah, I think it's your enterprise assistant, right? I mean, Microsoft says they're capacity constrained because they got a lot of demand for co -pilot, right? And I think the real enterprise co -pilot, right? Glean has gone from enterprise search to being, you know, that enterprise assistant. I would say this, you and I have some debate about this, whether or not we're actually seeing the end user demand, whether or not the solutions are good enough to unlock that demand. I tend to be on the positive side of that question based on the companies we're seeing based upon the, you know, folks like Satya saying that we're capacity constrained.

44:21But I will also stipulate just as a risk factor in the public markets, the idea that we're going to go through this phase shift with CAPEX and revenues perfectly aligned and perfectly matched, right? It would be the first major phase shift we went through where that's the case. In the case of the internet, CAPEX got way out ahead of early revenues. In the case of cloud, CAPEX ahead of early revenues, mobile, same thing. So, in fact, I think what you're hearing out of these CEOs, once they're cautioning us, they're saying there's going to be a period of time here where we have really high CAPEX relative to our revenues.

44:59But it's the right bet to make when you look at a three to five year time horizon. And I would say on that dimension, each of those prior super cycles were underestimated when you looked at them three to five years out. And just to put a nail in the point I was making, I see a ton of great use cases and I'm super excited about everything I've seen. There are statements that are continually made that I think are over the top. You know, I don't think this replaces all software. I don't think people are going to be sitting around jobless in need UBI. I don't think you know, I don't think that all software just goes away.

45:44Someone said that this is the new operating system. I don't think there's any proof of that. Doesn't know how to store data. It may get there. But anyway, so the hyperbole causes me a little bit of cognitive dissonance. It's the only thing. But I do see a lot of positive stuff. Let's move on. Explain to people what happened with the Japan carry trade. Oh my God. I mean, you know, the fact that you wait. You show up on a Monday morning exactly. I thought I had to worry about taxes and recession and AI air pocket. You know, it wasn't on my bingo card. Maybe it should have been that we were going to have to, you know, be worried about a 13 % drawdown in the knee.

46:26Right. It's biggest one day drops since 1987. Then we have a rip back the next day. Well, let's break down what happened here. First, let's remember, the Japanese markets were really crowded, Bill. They hit an all time high just three weeks ago. High prices always make for big drops. Right. So there was a setup. But basically, the market was down big since the the Bank of Japan, so the Japanese Fed meeting where they basically increased interest rates for the first time in 17 years. So why was this such a big deal with a great threads on Twitter about this zero hedge has been basically live blogging the events.

47:07I think it's important before you go into what happens. Why were interest rates? Why had they not done an interest rate increase in 17 years? And why? Why did they feel they needed to? Right. I mean, so in Japan, you have, you know, a population that saves a lot, a population that's not growing a lot. And so they've been battling a slow economic growth and deflation for the better part of 15 years. And for the last eight years, they've had negative interest rates. Right. So that is just a way to force people into the risk pool to try to get people to take risk and get your economy going and to keep it from deflating.

47:51Remember, like in some ways, this is what, you know, we copied their experiment at the beginning of COVID when everybody went into lockdown and wasn't taking any risk, we said, we'll pay you to take risk and we took interest rates negative. Well, they're systematically been doing that for eight years. Now, it leads to one of these very interesting consequences, which is when you have negative rates, IE, you're paying somebody to borrow money. That leads to what is called a carry trade. So there are estimates that up to $20 trillion of yen was borrowed. And then you invest that in rate yielding assets around the world and you pocket the spread.

48:28Right. So remember, just I think earlier this year, maybe it was late last year, Buffett borrowed $200 billion of yen -denominated currency. So it seems like a great idea, especially if you're getting paid to borrow in Japan. So there's no cost to borrow in Japan. Then you get paid to buy bonds in the US. But you need to make sure that things don't change quickly on you. So the predictability of the rate environment in Japan is key. It's absolutely essential. And what scared the hell out of people is out of left field, you know, the bank of Japan raises rates. And all the sudden, these people who were effectively borrowing in Japanese yen, assuming that rates would stay low and investing in these higher yields, they had to unwind these trades.

49:20And you had 20 trillion of these trades at play according to JP Morgan. I think in the first two days, half of those trades they estimated got unwound. That means they had to sell US bonds. They had to sell stocks around the world, et cetera. And of course, that causes this negative reflexivity because you have the already half concerns about recession and the other things we've talked about. So this just adds to that list of problems. Now, remember, part of the reason that you have this carry trade going on is the US has kept rates higher for longer. So it increases the spread there at zero or negative.

49:59And our rates have been higher for longer. So that's led even more people to pig pile into this carry trade. But what was so shocking here, you know, within 36 hours, right? It seems like the bank of Japan capitulated. And overnight, they reverse course. And they said, we're just kidding, we're not going raise rates when the market is unstable. Now, what the hell does that mean? We're not going to raise rates when the market is unstable. You're the ones that destabilized it. So I guess that means sorry foot fault. We're not going to raise rates. But I think that, you know, most of the stock market contraction we saw here.

50:38So if you look at where the Nasdaq was trading before, you know, this all happened. I think it was like, you know, 475, it dropped to 450. And now we're basically back to 475. on the cues. So basically, it was one of these long tail events that reminded us there's risk in the world. And when you have a bunch of other buckets of risk, recession, slowing, AI air pocket, and then you throw one of these on it can really be the the the trigger to light the fuse. Remind you, just a couple of weeks ago, I can't even believe, you know, that that it happened at this point. But if it if that shot fired at Trump was one inch different, if Trump had been assassinated, can you imagine what what happened to the US markets?

51:26Right. So when markets are at all time highs and you're just hanging out and there's not a lot of upside return and you got these other things you're concerned about, you got to take down those units of risk because there are always things like this that can happen, right? Take around into account geopolitical risk. You know, we've come the world has come to I think appreciate the skirmishes between Iran and Israel over the course of the last decade. And they never really amount to all that much. And so when the markets get concerned about it, it's generally a buying opportunity because they are generally short lived, right?

52:03They keep each other in check. Could you imagine? Let's assume tail risk this time. What if Iran really did something different? And now we've heard rumors of you know, the Israeli leadership and nuclear proof bunkers. And they said, if you touch one of our civilian populations, we're going to wipe out your nuclear capabilities, right? Like you could imagine, I'm not saying it's the base case, but you can imagine a scenario where this time it is in fact different. I think for all these reasons, Bill, that's why you're seeing, you know, the markets taking, you know, just a bit more cautionary position.

52:41And to be perfectly honest, it's not off the table. This market could give up 100 % of the gains that we've had year to date, which would mean you still have another 10 to 15 % down in the market. And that just takes ship back to where you were on January 1. And so you have to ask yourself, as an investor, sitting here in August, is the world so much better than it was on January 1, right? That it has to be priced 10 to 15 % higher. And the answer to that is no. You know, my, I have a very similar thought on the, on the whole Japan carry trade thing, which is, you know, at the end of the day, it really shouldn't f***ing matter for American investors, right?

53:22This was an arbitrage thing that had been created by a systematic, you know, problem in Japan that was started with stagflation, but where they they had a problem. I think the reason they had to raise rates is they had a problem that the currency was causing. And they felt like they had to defend it. And, and, you know, the consequent was all these arbiters, you know, got wiped out. But there's no sympathy line for arbiters, right? And, and, and, and, and even if the banks got in trouble and went to the government, said, I need help because I had given loans to arbiters, they're not going to make whole, this is not going to be a long sympathy line for that either.

54:03And, but, but I do think what, what happened is, is exactly what you're saying, which is people were nervous already. And so like, you, you got your finger on the cell button. And then you wake up and you see this and said, shit, I said I sold last week. And you start pressing cell, right? Like it becomes self -re -imporcing, almost kind of like a reflexivity kind of thing. That's my, that's my non informed take on what happened there. No, I mean, listen, when, when people are off sides, you know, you know this hand in poker, right? Where you, you kind of limp in, maybe you have pocket sevens, right?

54:40And you got, you got a little too much money at play, but you're feeling good. You've been winning the whole night. And so you're, you're, you're, you're feeling a little swagger. That's kind of what a market is when it's at all time highs, right? You're playing the hand a little too strong. And then the flop comes and somebody has you trapped, right? And now you're like, okay, I got this sunk cost. Do I take it off the table? Do I, you know, do I bluff? Do I bet bigger? And, and, you know, I think this is one of these situations where people were just caught off sides, right? They viewed this as very, very easy money.

55:12And it's easy money until it's not. And, you know, and so, you know, I put all of these things in the category of healthy, right, resets in the markets, right? And so, you know, I do think there are a series of events like if we end up in a recession, if one of these situation, if Japan, you know, were, were to trigger something bigger, if the geopolitical events caused the price of oil to spike rate, all of those risks have to be taken into account, you know, particularly when stocks are at or near all time highs. And that just means, again, it doesn't mean you get out of the game, right? Like when prices are high in venture, you know, you don't just stop doing venture, right?

56:00But you do less. And you wait for the really great stuff. And when prices are high in the public markets, you don't necessarily step out of the markets altogether, but you just do less. And that's how we think about it here. It's lesser more. How many units have risked you want to have on at any one moment in time? And I agree. I do agree that of the of the topics you mentioned, the one that matters the most is the recession one going forward. So we'll see what happens. That's it. Two more things before we wrap up. The first thing we should dive into is this Google decision that happened this week, which is pretty landmark decision.

56:36I think there've been pressure on a lot of the Mag 7, you know, from the government and questions about monopoly status. And, you know, having seen Google from, you know, I met with Sergey and later when there are 25 employees today, I mean, kind of had a front row seat just to watch this amazing, you know, people have called it the best business model of all time. What do you take away from this decision? And what do you think it's going to mean for going forward? Well, I kind of want to turn the tables on you and ask you that, given how close you've been to it and how much you thought about this.

57:16But first, just like, let's talk about what the ruling in fact did. So, you know, it said that Google used unfair tactics, it's unfair tactics to maintain itself as the default search engine on the iPhone over the last decade. And it said it did this mainly by negotiating lucrative deals worth over $25 billion per year to cement its position as the default search engine on the iPhone, which then let it to have superior data, which then let it to have superior conversion, which then let it to further cement its position. I think the current deal is set to run through 2026. But the court, I believe, is set September as a date to kind of work out a solution with Apple and Google that the judge will deem to comply with the ruling.

58:06So, I guess the question I have for you is, you know, these guys negotiated a deal between the two of them. Google said, we'll pay you a bunch of money. Like, what do you think is the remedy? What do you think is a better alternative? You know, why can't they do a deal with Google? So, to your last question, you and I had afforded back and forth Ben Thompson's thoughts on this. And obviously, super intelligent human being Ben with a massive mental capacity. And he wrote a piece that will put it's subscription, but we'll put a link to it. Maybe we'll get him some new subs. But he broke down the Sherman Act, which was what was the piece of regulatory law that was applied here.

58:54And section one of the Sherman Act says, if you're a monopoly, and I don't think there's anyone that questions, you know, Google's monopoly status, just because market share, you know, north of 80, 90%. That's and and and Ben makes a point of saying they earned it through innovation versus some type of underhanded tactic or a roll up. And I think that's fair too. But but the Sherman Act doesn't say that there's a fair monopoly and unfair monopoly. It just says, are you a monopoly? And then section two says you can't enter into partnership deals basically that reinforce that monopoly position. And so the judge and Ben argues properly looked at the Apple deal for the iPhone and said, you know, this this violates section two, you're a monopoly and you're extending that monopoly with an exclusive deal.

59:53And so one thing I would back up and highlight for people, I think most people know this. But whatever this share is that Google's giving to Apple, let's say it's 30 % or 40%, who know, it might be 50. You know, it represents this massive amount of net income for Apple, right? What's the number? It's 26 billion, I think a year or two ago. So the reality is that Google's monetization is so much better than anyone else that's out there. That I don't think there's a deal you can do with being that will create that amount of net income for Apple. So there's no like Apple's not mad about this deal.

1:00:40They're very positively impacted by it. And so that's a that's a that's a that's a huge irony because they're not they're not. It's not a loss leader for Google where they're blocking someone out. It's a win win for both parties because Google's so good at monetization on search. That like I guess I'm making the argument if being gave them 100 % replacing them would cause Apple to have less money. So for sure, that's for sure the case. And what do you think the remedy is Bill? I mean, is this just going to end up in one of these it, you know, and I saw a screenshot of this, these sloppy choices where, you know, the next time I opened my iPhone, it says choose what, you know, where you what search engine you want to use for this query.

1:01:26And it gives me a choice between Bing and duck duck go and maybe now search GPT and maybe now perplexity and maybe now Google, you know, is that going to pop open every time? Do, you know, is it one and done? How do you think about that? And is that remedy enough like if the consumer chooses Google? And Google just pays a rev share rather than, you know, boxing everybody out. Do you think that remedy will be enough? It could be, it could be a nothing burger. So let's say that Apple is forced to do this election chart. Let's say Apple then tells every search engine in order to be a partner of us and in our search short, we'll take 30 % of whatever you earn.

1:02:10And then 90 % of people choose Google. I think you're in the same spot. I think you end up in the same spot. I think that's why I think it's silly. Yeah, go ahead. If they're forced to do the search and Apple somehow cut out of the economics and then Google ends up making more money, because I think the consumers are going to choose 80 or 90 % Google. So yeah, I think there are remedies where it could be nothing. One thing that would be super interesting, I think they're, I've often said that the federal government should have a new task for a monopoly. And this is a very self -centered bias to someone who's been a venture capitalist working with small companies for a long time.

1:02:57But for over the course of years, there have been many cases where I've been fortunate enough to work with a category leader in a vertical or something. And you get invited in by Google and Apple sometimes, sometimes it their request to do a deal. And you're presented with a set of terms that you would never consider with any other party out there. It's a completely one -sided deal. And I've often thought that should be a test for a monopoly. Like are they able to negotiate deals that are, there would just be off the table with any other set of partners? Because I do think it's a sign of strength.

1:03:41And I could even go further and say that it's a, that it should qualify under the section two of the Sherman Act. Because if the partnership deal results in the monopolist now having a new feature set because they were able to basically steal everything you've built through the terms of the deal, you've extended the monopoly through that practice. So that was one thing. I'm sure Jeremy Stopham would agree with but I just... That felt a little yelp like to me in terms of your concerns. I wasn't going to out you. No, not just yelp though. I mean, I think it's a fine line. Michael Porter's five forces would make the argument that this is what businesses should try to achieve, which is enough market power that you can extract rents.

1:04:36Commence it with your market power. And so I don't think we want to be casually undermining companies' ability to enter into commercial relationships. And those are going to reflect different market power in the economy. But to your point, listen, I think there's a pretty easy remedy here. I think the remedy is going to be consumer choice. I think the remedy is going to result in Google still getting 90 % of the searches. But, you know, it may not. And the only reason it may not is because we are at this really disruptive moment with things like perplexity and search GPT. And so listen, I'm happy to let them compete and to see where it all shakes out.

1:05:20And so speaking of, have you played with search GPT? I have not. Have you? No, all I've seen are the screenshots. You know, the video is everything looks very perplexity like to me. And just go ahead. I think it's worth stating. I think a lot of people know this, but I talked to a few people yesterday that didn't. I believe what happens at perplexity and why it's so much better when you're doing searches related to recent information. It's even good for the Olympics. I encourage people to use it is that in the background, when you type a search into perplexity, they're doing a search against a Google -like database.

1:06:07They're doing the equivalent of a Google search. Maybe I don't know where they built that. Maybe the partner would duck duck go or whatever. And they then take the results of that search and stuff it through rag into the into the context window and make it part of the prompt. And your result then is is focused on those things. And so it can handle newness, which everyone knows the original AI models couldn't do because they weren't trained on it. And that's also why a lot of people are like surprised perplexity has links. Well, the reason they have links is because of the process I just described.

1:06:47And so now, anyway, I think it's important for people to understand it now was I think the difference between search GPT and chat GPT is precisely that. They're now doing that same thing. Well, one of the things, you know, a few weeks ago, you cast some doubt on the engagement metrics, you know, at OpenAI. I mentioned I was a little more bullish on OpenAI, but I wanted to do the work. So I had a poor of on my team, you know, pull some metrics. And so I want to run through a few charts here about engagement and usage metrics that we're seeing on Gen AI apps compared to other consumer apps and enterprise apps.

1:07:27And, you know, it's get your reaction to this bill. So this first chart here is just weekly average users, monthly average users. And as you see, if you go to the far right on the chart, if you're like Spotify, Instagram, WhatsApp, you know, they have engagement metrics well over 80%. If you look at these generative AI apps, character tops out at about 64%, but if you look at clawed Gemini, chat GPT, they're about 40%. So much lower engagement, you know, then, you know, internet consumer apps. Now, if you go to the next slide. And by the way, just just just just so people understand, you're looking at, I mean, I guess is this MAU over?

1:08:17Yeah. Oh, it's WAU over MAU. So yeah, so weekly versus monthly. Okay. Correct. Correct. Now, if you go to the next slide, which this is, what does it take to get to a really big app? And if you go to the far right for those apps that have over 80 % engagement, right, they get to billions of users, but apps with much lower engagement, this all stands to reason. Those apps tend to cap out, right, at tens of millions, or maybe 100 million users. Right. So the question we were debating is can chat GPT get to a billion users? And like one of the early warning signs that you were talking about, this engagement doesn't look like it's the type of engagement that is commensurate with really growing your user base.

1:09:10So then we ask the question around retention. Yeah. Right. Which is, I think what you had specifically mentioned before. So here's month one retention. So this is one month retention. Again, if you go to WhatsApp, Instagram, Chrome, etc. Right. Retention metrics super high over 90 % retention. And again, enterprise apps, you know, like Gmail at 75%. But if you go to chat GPT, it's the best of the Gen AI apps at about 65%. But you see that these generate AI apps also have not only lower engagement, but they have lower retention. And you're mixing paid and unpaid on this. So it's tricky. Like you have to be careful.

1:09:56Duolingo's paid, tenders paid, Spotify's paid, WhatsApp X aren't paid. So anyway, that can be tricky. I think I think what we're trying to drill down on is, and this should all stand a reason. But low engagement, lower retention and lower usage as measured on this last chart by the minutes per week, you know, that these, that these apps get used. And what it tells me is this, Bill, and I just want to get your reaction to this. I love chat GPT. I love perplexity. You know, I love clawed. My team uses it all the time. Right. It's a better version of search. But the truth of the matter is Google's copied them pretty quickly.

1:10:44You know, it hasn't led to massive share shift. And it hasn't led to a step function in engagement, retention, and usage. And so I would say that search GPT, I don't think is going to be the product that gets up to a billion users. And it reminds me. It takes me all the way back to a conversation you and I had maybe an episode four, which is what is going to be the next, you know, GPT moment. And it feels to me like, you know, AI enabled search is not that moment. We maybe the moment is when we all have a personalized agent that has memory about us that can track us over time that really understands us that can take actions.

1:11:26We've talked about this on the pod. But I think this data that we pulled together kind of confirms the point you made a few weeks ago, which is barring right the launch of I don't know whether it's Q star or some other product, right. It feels like it's really this personalized agent that's a hundred X better in terms of driving my personal productivity.

1:11:54I don't even search GPT that are going to lead to the breakout needed to get to that billion users. By the way, this is this will sound a bit rude, but while you're talking, I did several search GPT searches. And it's exactly like perplexity. I think it's exactly what I described. I had it drilled down on the Christian Faulkner race. I don't know if you got to see that. It was fantastic. Yes, the bike, the this woman who was currently was briefly a venture capitalist, but the close she did was so brutal. Like she accelerated once she caught him. Anyway, I just had to walk through all that it lists the sources.

1:12:31It's very similar. I think there's some really big questions. The $20 thing is that real or not? Feels tough. Like it feels tough. It feels like Google's going to do it for free. It feels like perplexity is kind of cave and said they got to do it for free. We'll see. I think, but that's a big question because if you have to surround it with ads, it's a little different. And then the other key question, which we started talking about at the beginning of this podcast is if it is free, is the alternative to Google in having less ad units on it just better. And so do you do you is even if Google can lay chase, is it a situation where the disruptor just doesn't make as much money and therefore that puts pressure on them coming?

1:13:24I still think that's a possibility. I would pay the $20 not to have ads. There's a lot of questions about how big that universe of people is. I don't think it's the majority. And so anyway, yeah, it's interesting to watch. The one thing I would add to your one month retention numbers, the numbers I had done and I don't know if the service I'm using allows me to repost it. I'll have to ask them. But they had 35 % numbers for the 12 months retention, which is also pretty low and reinforces your point. The other thing I would last thing I would say about this is, I continue, when you start talking about that personal assistant, I continue to think apples in a decent position, but I really think that Google has, and it's interesting because I just talked about how Google may be disrupted negatively by this on search.

1:14:23But when I think about the personal assistant side, having the assets of Gmail, docs, spreadsheets, and Android, and I actually ran into Samir Samada, runs Android the other day and I had this discussion with them. It's the best set of assets. If you could pull it all together, it's the best set of assets. Because they have their hands on the mobile product, they have their hands on the email, they have their hands on your docs and infrastructure, they have a product that competes with slack in teams. So I could imagine if they perfect that integration with AI and what I like to call infinite memory or infinite recollection, people switching to their stack and to their phone because it's done so well.

1:15:16One big problem, Bill. One big problem, Bill. It's got execution. Google has been fumbling the ball and on getting there. They're going to be in the race. I would say when it comes to agents, the person who I think is talked most eloquently about it and is doing a ton of work is Zuckerberg at Metta. Open AI is going to be in that race. My main point here is not like we know all of these are going to be in the hunt. They have the capabilities to be in the hunt. Google may be advantaged from access to information and capabilities like you suggest. But what's clear to me is that the current state of the consumer product, it's not enough to dislodge Google.

1:15:59And that could improve. I mean, the memory part could could could dramatically improve improve. And and and I've said this many times, I think the voice things really cool. I finally got the upgraded voice assistant on chat GBT and I love playing with it. It's just so much fun. And and I'm sure it'll get better, but it does everything. I mean, you can just talk to it, you know, like you're sitting next to this incredible librarian. And it's fun to do it with other people around. People get a lot of kicks out of it. So we'll see what happens. I'm right. I continue to voice and and memory are the two things that I think are are the biggest and most exciting areas to add, but we'll see where it goes.

1:16:43Let's touch a one last topic before we we part ways. We had yet another one of these odd transactions that I'm going I wanted to brand it. So I'm going to throw out a phrase a take under rather than a take over. And so we've had inflection and and the one that just happened is character AI, which had pretty interesting engagement numbers on your on your slide here. What's going on? Why I mean, like, would it what's your take on these transactions? There's now been enough of them that it's I have to say it's a trend. Well, I mean, I think it's a combination of two things. Number one, I think from a company perspective, known Shazir as an incredible, you know, technologist engineer, visionary, you know, was one of the authors on attention is all you need.

1:17:41And he's building, you know, a race capital building a building a great business. You saw the engagement metrics. They're off the charts. But I imagine he's looking at the daunting amount of CapEx required, right, to continue to compete with meta and continue to compete with Google. And you know, that's that's a challenging Slav bill. And so on the one hand, you have these founders who are saying, I need to have I need to 10X my infrastructure stack in order to go, you know, attract the best engineers to work on the best projects, etc. And that's a full time job. And I'm not even sure you can get it done.

1:18:17On the other hand, Google and Microsoft and meta, they're willing to pay super big money for talent. But they can't acquire companies because we know we have a regulatory environment in this country. We're doing outright acquisitions as hard. And so I think they found this kind of third way that you describe. I don't exactly know how it works, bill to be perfectly honest. I haven't been in either of these deals. I would say that we looked at both inflection and character. We really liked what we saw at character. We wanted to be involved in it. But it was really hard to underwrite it for exactly this reason.

1:18:53We said the most likely outcome is that they're going to be a seller to Google or to or to meta because it's going to be very hard to break out. Now they're doing these deals. If it was just an outright sale of the business and you sold the business for 3X, what, you know, the series A investors put into the business. I don't even think we'd be talking about this. We would say, you know, it was a reasonable outcome. And they're going on and and and going to build something bigger and better, you know, at Google. I think what's interesting here is that these things are being structured not as straight up M &A in order to avoid perhaps some of the regulatory scrutiny.

1:19:32And so I don't know. I asked you do you like I'm just not sure how how they're structured or how they work. But the rumors at least as reported by, you know, the information and some other places is that, you know, investors are earning 2 or 3X on their money in character. I'm just not sure exactly how it structured. So I'm not 100 % sure either. And I've done quite a bit of research knocking on doors. And I also am not in one of those companies. And so I don't have perfect information. And if anyone does, if anyone wants to reach out and chat with me about it, explain to me how it works. I'd love to hear.

1:20:10But here I did talk to a few attorneys that have been around the Valley for a long time. And I would state this one. It is almost certainly the case that this the primary reason that these these funky transactions are happening are unless just called non -standard is precisely to avoid federal regulatory scrutiny. And so the minute that the Fed, the people in the Fed realize that's what's happening, they can start a process of laying chase, which might involve lawsuits might involve pushing on Congress to write rules in a different way. But they can't stop it right away. And so you're going to, you know, you'll probably continue to see this happen.

1:20:55It is, if it is an arb, the people that wrote the original rules won't be happy. Let's just state that like there's no reason they should. To, as I understand it, there is a substantial double taxation risk. And if this is not the case, it's a thing I'd love for someone to educate me on. But the way the money makes it from the mag seven to the investors, I think, is two step. One, the money is transferred to the startup as part of this massive license deal. And that's revenue for the company, which is exposed to corporate tax at that level. And then step two is either a stock buyback or a dividend distribution to the shareholders.

1:21:48And that two step process. And then obviously that's taxable at a personal level. And so that is, it seems like a sticky piece of this. And it means if someone truly is getting two X back on their money, they'd have to, the mag seven would be paying three X or whatever so that the taxes, you know, and I could, I mean, I'd love to hear how I'm wrong or I'd love to actually have perfect visibility into how one of these things plays out. I continue to doubt that it's preferable for the venture investor to a traditional deal. It just seems a little too sloppy and messy in this entity stays around.

1:22:39And people, it's funny in all these PR releases they try and posture as if this thing's going to achieve great stuff after all the core people left. And that that act of theater alone causes me to be a little skeptical of what's going on. Yeah, I mean, I don't know. I'd be surprised if this is the case with character. I think they had options. I think they had other buyers of the business. So I'd be surprised if it didn't work out in a way that was reasonably positive for the investors and reasonably positive for the team. You know, frankly, I think it was a bit of a coup for Google to get know him and his team back there.

1:23:15I mean, you saw these engagement metrics. They really are building, they have an eye to build something here that I think is important. So I like you. I look for a delirney more about this. But you know, and if they fix character and the things that I've read in the user forums and on Reddit is that it doesn't evolve with you. So it goes back to this memory issue and this kind of infinite recollection. But if they fix that, you know, this is a product that feels more at home at meta than it does at Google. So it'd be a new front for Google, I think, if they ever make this work. You know, I would say finally, Silicon Valley has been battling it out.

1:24:01We talked about it on last the last episode. You know, Washington Post talks about why Silicon Valley all in the Trump category. Now we have VCs for Kamala, you know, and in a long list there. You know, this seems to be the one thing that both sides in Silicon Valley agree on bill, which is, you know, Lina Khan and the regulatory environment that has been created that causes, you know, these companies to have to do these legal gymnastics in order to do acquisitions of small teams and small companies. It just seems that it doesn't make a lot of sense. Part of the beauty of capitalism is creative destruction.

1:24:42Companies come and go, companies get acquired, teams move around. That's part of the dynamism of it all. So whoever is in this new administration, you know, I certainly hope that we enter into a new period where, you know, they're enforcing the stuff that's on the books where monopolists are truly blocking out smaller competitors using their monopoly power. But we need to get back to a place where, you know, Microsoft and Google can go by, you know, a company that's diminimous relative to their size, you know, Amazon can buy vacuum cleaner company, you know, I robot without, you know, failings of lawyers and having to come up with these creative structures.

1:25:27I can't see how this is in any way good for the country. Yeah, understood. All right, buddy. Great seeing you. Thank you very much. Take care. We'll talk soon. Bye -bye.

1:25:46As a reminder to everybody, just our opinions, not investment advice.

From the publisher

Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week they discuss the Public Market Volatility, AI Air Pocket, $GOOG Ruling, Search GPT & more Enjoy another episode of BG2.


Enjoy another episode of BG2.


Timestamps:

(00:00) Intro

(02:27) Public Market Reset 

(13:04) Corporate and Individual Tax Cut Expiration

(16:40) Indicators of Economic Health

(30:40) AI Air Pocket

(46:02) Japan Yen Carry Trade

(50:34) Navigating Market Volatility 

(56:30) $GOOG Ruling & Monopoly Status 

(01:05:21) Search GPT and Evolving AI Landscape

(1:18:17) The Need for Regulatory Clarity in AI


Available on Apple, Spotify, www.bg2pod.com


Follow:

Brad Gerstner @altcap

Bill Gurley @bgurley


BG2 Pod @bg2pod

More from BG2Pod with Brad Gerstner and Bill Gurley

All 44 episodes
Ep14. Public Market Volatility, AI Air Pocket, $GOOG RulingBG2Pod with Brad Gerstner and Bill Gurley · 1 h 26 min
Listen in VO