The AI Demand Bubble with Ed Elson

5 Aug 2026 · 54 min · 20 chapters

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In short

The “AI demand bubble” behind Big Tech’s earnings and valuation, arguing that reported AI profits are distorted by accounting treatment of stakes in OpenAI/Anthropic, while real AI revenue is concentrated and may be unsustainable.

Guest backgrounds

Ed Elson (co-host, finance/markets commentator) joins Ed Zitron (host of “Better Offline”). They discuss earnings analysis and valuation metrics (P/E), citing investment-bank estimates.

Key claims

  1. Amazon and Google’s earnings spikes are mostly unrealized gains on stakes in OpenAI/Anthropic (Amazon: 85% of net income; Google: 87% of earnings).
  2. After adjusting out those paper gains, Amazon’s “true” P/E is ~30 and Google’s ~31, not “cheap” 19/17.
  3. Microsoft’s OpenAI stake doesn’t boost earnings because accounting forces it to recognize OpenAI profit-share (OpenAI has no profits), leading to a ~$600M hit; AI revenue is further obscured via “compute revenue” and “annualized run rate.”
  4. Circular financing: Big Tech funds OpenAI/Anthropic, then benefits from their compute demand; analysts estimate extreme dependence (e.g., Barclays: 73% of Amazon AI revenue; UBS: 27% of Google Cloud revenue in 2026).
  5. If OpenAI/Anthropic weaken or fail, AI-driven growth and cloud/AI revenue would largely evaporate.

Notable examples

Microsoft’s ~$600M OpenAI-loss accounting; Microsoft AI run-rate cited as $37B then omitted next quarter; Meta’s declining free cash flow (~down 91%) tied to AI infrastructure; Jensen Huang dismissing “circular” claims.

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

Chapters

Tap a time to open that second in VO

Earnings Reports Overview

0:09 to 0:56

Discussion about recent earnings reports from major tech companies.

“Why did I search the internet for answers to my cold sore problem?”

Earnings Reports Overview

1:30 to 2:03

Discussion about recent earnings reports from major tech companies.

“Apple Vacations, where your story starts.”

Earnings Reports Overview

2:24 to 2:56

Discussion about recent earnings reports from major tech companies.

AI Revenue and Valuation Issues

2:56 to 5:54

Exploration of AI-related revenue generation and their impact on valuation.

“But of course, that's not really what matters here.”

Microsoft's Unique Accounting Challenges

5:54 to 11:15

Analysis of Microsoft's accounting treatment of their AI investments.

“So that's the first problem is the earnings themselves are not really reliable in Amazon and Google's case.”

Critique of Run Rate Metrics

11:15 to 14:00

Criticism of the use of run rate as a metric for AI revenue.

“If we just play this out over the next quarter and the following quarter, what we can start to see is that actually these investments are not as sexy as the net incomes on Amazon and Google would make them seem.”

Revenue Reporting in AI Companies

14:00 to 19:37

Learn about the questionable practices in AI revenue reporting by major companies.

“it by 12 and say, this is how much we are expected to make over the course of the year.”

Revenue Reporting in AI Companies

20:46 to 21:09

Learn about the questionable practices in AI revenue reporting by major companies.

“And so are the benefits of new Vital Proteins Collagen Sparkling Water.”

Concerns Over AI Dependency

21:45 to 28:00

Examine the risks associated with the heavy reliance of big tech on OpenAI and Anthropic.

“And as we were just discussing, so Ross Sandler over at Barclays, he estimates that 73 % of all Amazon's AI revenues in both 2026 and 2027 will be Anthropic and OpenAI's compute spend.”

The Economic Illusion of AI Demand

28:00 to 41:34

Explore the unsustainable nature of the current AI economic growth and its implications.

“It's just people handing money to each other and being like, yep, look how profitable we are.”
Show all 20 chapters

The Future of Tech Companies Without AI

41:43 to 42:00

Discussion on the potential consequences for major tech companies if AI demand falters.

“While the landscape shifts, one thing remains the same, the thrill of closing a deal.”

The State of AI Revenues

42:11 to 43:46

Discussion on the growth challenges and revenue issues of major tech companies.

“And I think that that is a critical problem because I'm not sure, at least in the case of their cloud businesses, whether these companies are growing anymore when you remove OpenAI and Anthropic.”

Microsoft's AI Miscalculations

43:46 to 45:56

Analysis of Microsoft's revenue projections and AI product adoption.

“and looked at the Wells Fargo estimates and Turin.”

The Illusion of Growth in Big Tech

45:56 to 47:51

Exploration of how big tech companies are perceived as growth companies despite stagnation.

“They are providing compute to OpenAI and conning people into buying Copilot.”

AI's Impact on Market Valuation

47:51 to 49:59

Discussion on the potential shift in market valuation for tech companies reliant on AI.

“Well, I think you said something important earlier about the growth.”

The Debt Dilemma of Big Companies

49:59 to 52:12

Insight into how increasing debt levels could threaten major tech firms.

“We will obliterate our balance sheets in the process.”

Oracle's Vulnerability in the AI Landscape

52:12 to 56:00

Analysis of Oracle's financial stability and its dependence on AI success.

“by just not blinking on the ai trade except the ai trade fucked them over because of the increasing cost of RAM.”

Oracle's Decline and CDS Market Reactions

56:00 to 58:02

Discussion on Oracle's financial struggles and market perceptions through CDS pricing.

“Its revenue has been flat for 15 years, adjusted for inflation.”

Ed Elson's Current Projects

58:02 to 58:29

Ed discusses his current newsletter topics and invites listeners to follow his work.

“Because you should write up that Botox thing.”

Ed Elson's Current Projects

59:32 to 1:00:45

Ed discusses his current newsletter topics and invites listeners to follow his work.

“I also really recommend you go to chat.wheresyoured.at to visit the discord and go to r slash betteroffline to check out our reddit.”
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Transcript

Automatic transcript. May contain errors.

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2:10Greetings and salutations. It's me, Ed Zitron, and it's better offline.

2:23Ed Elson. That's right. We are back with Prof G Markets, Ed Elson, and we're here to talk about the naughty little buggers in the Magnificent Seven, primarily the big four, but really the big three, the Amazons, the Googles, and the Microsofts of the world. Ed, thank you for joining me again. Thank you so much for having me. I'm very, very excited to be here. Yeah. So tell me, they just reported earnings, and as you well know from the conversation we just had, i got some points to make about it but why don't you run me through how they did on their earnings uh absolutely so let's just run through what we learned uh on microsoft microsoft's end we saw pretty good growth 90 billion dollars in revenue up 18 amazon similar story 200 billion dollars in revenue up 20 metas revenue increased 28 i mean on its surface this was pretty good um let me just look at the numbers, even the net income, which exploded for many of these companies.

3:25But of course, that's not really what matters here. What really matters is how is the AI trade actually working out? There are two main questions that we really want to understand when we look at these big tech companies. The first question is, how much revenue did you generate from your AI business specifically? That's what we really want to know the answer to. And then the second question is, how much of that revenue came from two relatively unstable companies financially, specifically OpenAI and Anthropic. Those are the two questions I want to know the answer to. I know you want to know the answer to.

4:01We didn't get those answers. They didn't really tell us. And what they did tell us was not very helpful kind of papering over the reality, which makes you think maybe the reality is something that they don't really want us to see. so that's the funny thing as well like before we get to the meat of what you and i both know we're going to discuss there was also this these weird massive equity gains so the net the net income part of earnings is now not super useful because in all three cases of amazon google and microsoft they all posted massive equity returns based on the increasing value of open ai and their shares of either or both OpenAI and Anthropic, right?

4:44Yes. Yeah. A wrinkle in there that I'll address, but we'll start with Amazon and Google. The answer to that question is yes. Amazon's net income, so their earnings, exploded 245%. That's crazy growth, more than tripled. Google's exploded 298%. Again, crazy growth. How did that happen? what's going so right? You dig into it. Exactly. The answer in Amazon's case is that 85 % of their net income came from unrealized gains in their stakes in Anthropic and OpenAI. So essentially, they basically looked at that company. They said, okay, I guess it's worth this amount of money. I guess it's worth a trillion dollars.

5:26And they marked that up. And then that was reflected in their earnings. And then in Google's case, 87 % of their earnings came from their unrealized gains in their stakes in Anthropic and SpaceX. So those earnings of those companies, you can't really take seriously because they're not reflecting the fundamental underlying health of the business. They're reflecting the optimism associated with the valuations of these AI startups and these frontier labs. So that's the first problem is the earnings themselves are not really reliable in Amazon and Google's case. We'll get to Microsoft in a second.

6:04The other problem is that that then funnels down into how we value companies. Specifically, one of the most important valuation metrics in investing is the price to earnings multiple. That is how we figure out how expensive or cheap a company really is. We look at their earnings, then we look at the price of the stock, and we compare if the two match up. Now, as of the end of last week, which is when I did this analysis, Amazon was trading at 19 times earnings. Google was trading at 17 times earnings. The S &P, the overall market, currently trades at around 25 times earnings. So if you were to look at those multiples on Amazon and Google, you'd say, oh my gosh, these companies are crazy cheap.

6:45It is time to buy. But of course, we know that actually, no, those multiples have been massively skewed and compromised again by those unrealized gains, by those paper gains. And just to be clear, that comparison is always based on net income. Yes, it's based on net income is equivalent to earnings. So we look at their PE multiple, and they're way down. I mean, you look at last year, Amazon was trading throughout the year at around 32 times earnings. Google was trading around 31 times earnings. So you look at 19 and 17, you go, oh my gosh, what's happened? They're so cheap. They're really cheap right now.

7:21That's not the case. So what we have to do, if you want to actually get an understanding of how to value these companies is you need to subtract out the gains that they have registered in OpenAI, Anthropic, and SpaceX. You need to create basically a new metric. And we did that. And we found that the true multiple for Amazon, when you adjust for that, is actually 30 times earnings. And for Google, it's 31 times earnings. So no, these stocks are not cheap right now. Now, a lot of people will say, well, are you factoring in the fact that maybe there is some value in those companies? And did you put that in the numerator?

7:57Blah, blah, blah. There are a lot of nitty gritty things that we need to do. And the answer is no, we didn't. But that's the kind of analysis that Wall Street needs to be employing right now. And the trouble is, the more that we see these stakes in these little AI startups and these businesses, and the more that it starts to skew the actual earnings of the companies, it makes it a lot more difficult for us to actually value, which companies are cheap, which companies are expensive. And of course, it is in that complexification and in that obscurity that bubbles arise. This is the problem that we saw in the financial crisis.

8:33It's the problem that you and I have addressed when it comes to the data center SPVs. It's not necessarily that the SPVs are illegal. The problem is that they are hard to track. They're opaque. They're not reflected on the balance sheets of these companies, which means that wall street and the underwriters and the investors when they look at the data they're not looking at data that really tells them the reality of what is going on so that is the problem with the earnings that's the problem with the pe multiple i will pause there and we will get to microsoft which actually didn't uh have to report an increase in their in their earnings due to their i thought they had an anthropic bit that did that 3.2 billion dollar gain there.

9:14Sorry, yes, they did do Anthropic. But when you look at, I mean, Anthropic is a smaller investment for Microsoft. Their big investment is, of course, OpenAI, which did not show up in their net income. Their net income rose by about 30%. If we were to look at the OpenAI stake, you would think that it would explode by around 300%, like Google's earnings exploded. exploded. That didn't happen due to an interesting gap accounting principle, which I can get into in a moment, if you'd like me to do it now. Why not go into it? All right. So why didn't Microsoft's net income explode? Why wasn't their stake in OpenAI reflected in their earnings?

10:01And the answer is that their investment in open AI is so significant that because of stupid accounting laws and gap principles, they are required to report that stake differently. So instead of reporting the alleged value of open AI in their earnings, instead what they have to do, because their stake is so large, and so I guess the law says you need to report this differently, instead what they have to do is they have to report their share in open AI's profits. But of course, open AI has no profits. So that's actually why Microsoft had to take a$600 million hit on their earnings to reflect their share of OpenAI's losses in the second quarter.

10:45So in a funny way, when accounting laws require you to report your AI investments correctly, it actually reveals that these big tech companies are actually losing money from AI. But when the accounting laws are loose and they're flimsy, it allows them to say, oh, I made money on this stuff. So it's an interesting wrinkle there. And yes, their Anthropic stake, they were able to kind of BS that in their earnings, but they weren't able to do it with OpenAI, which is why they took that$600 million hit. If we just play this out over the next quarter and the following quarter, what we can start to see is that actually these investments are not as sexy as the net incomes on Amazon and Google would make them seem.

11:28And the other thing with Microsoft that I found interesting, and I'm a curious little critter, so I went and looked. They mentioned they had annualized revenue, sorry, annualized run rate for AI in Q3 fiscal 26, which was last quarter. Just for the listeners, their fiscal year begins on July 1st of the year beforehand. So their fiscal year 26 begun July 1st, 2025. It's annoying. But their last quarter, they said, oh, we're here, 37 billion run rate for AI. And in this quarter, they didn't right they they just didn't mention it and i think what it is is the i don't know ben ben from the ben and emile show once said this to me it's like the the way to understand the stock market is imagine the thing that would piss you off the most happening so there you go because it's so frustrating seeing everyone saying the ai bet paid off the ai bet paid off look number go up so big even though they gave us less information this time they are They're obfuscating the information.

12:27Yes, exactly. If AI were going as well as a lot of people say it's going, then you would expect these companies to simply report their AI revenues and brag about it. Yeah. But instead, they don't do that. Instead, what they do is they report their compute revenue, which to be fair is growing, but that was a business that existed long before AI. That's not their AI revenue. and when they do report their ai revenues they usually report it in arr their annual revenue run rate and amazon actually did that in this quarter and said it had a 25 billion dollar run rate which is 2.08 billion dollars but here's the other thing that people seem to miss as well you know what also happened in this quarter anthropics compute spend accelerated because its revenue its revenue accelerated like it's a very obvious like between so this quarter would referred to was it's uh june may april right yeah that is that's when anthropic i think claim they hit 30 billion at annualized run rate like they are spending so much more in compute than their actual revenue i wouldn't be surprised and this will get into if most of this run rate came from anthropic and open ai spend of course again jingle jingle the keys are here look at the run rate Exactly.

13:45And I think just for your audience to understand why run rate is a bullshit metric. I mean, this is the classic metric that is reported by startups where their revenue is very choppy. And so what they'll do is they'll pick their best month and then they'll just times it by 12 and say, this is how much we are expected to make over the course of the year. I'll just point out with my business, my podcast generated double the revenue in June that it generated in May. We had a really good June. Now, I could just annualize that number. I could just times it by 12 and say, oh, that's how much money we're going to make this year.

14:23But of course, that would be BS. And I'm not going to do that to you. I'm not going to lie to you. But this is what they are resorting to. Instead of just reporting how much money they actually made off of AI, instead what they do is they pick a random month and they say, oh, if we times it by 12, then that will be a good number. And that's what they are starting to report. it's very um but that was very bs yeah it is and that's the one that microsoft declined to report this month which means likely that so i the thing is i i'm guessing that they're referring to a month within the quarter but we actually don't know we don't know if it's 30 days 28 days we don't know if it's four weeks times 50 we truly don't know what would be like four weeks times 13 it's just they never disclose this but i think it's just a failure of the media and analysts on this one, because I feel like if these companies felt any pressure to actually be honest with their investors, they, I don't know, would do anything other than this.

15:22Yes. Well, I think it's actually interesting. Meta is an interesting example of this. Meta is one of the few companies where the analysts are actually trying to ask management the tough questions, because it is so obvious what the problem is. The problem is that they're their free cash flow is declining. It's down 91%. And the reason that it's declining is because they're spending just gargantuan amounts of money on this AI infrastructure. Now, for the other companies who are doing that, they already have these cloud businesses like Google Cloud, like AWS, like Microsoft Azure. And so Wall Street kind of understands generally how they are expected to generate a return on building all of those data centers.

16:06Wall Street can stomach that. With Meta, it hasn't been outlined whatsoever. You and I talked about this. They later kind of folded and admitted that they were just going to build their own cloud business. That was what we thought was going to happen. But when the analysts asked Mark Zuckerberg point blank what the actual plan was in terms of ROI, how are you actually going to generate a return on all of this AI data center spending? He didn't give them an answer. He didn't discuss the cloud plans. He He didn't address any of the reports about how meta was an early talk to sell compute to Anthropic, which I know you have covered at length.

16:43He basically just avoided the question. And I think that tells you something about Mark Zuckerberg and the extent to which he gives a shit. He doesn't really. He doesn't really care. He literally cannot be fired. That's right. Which is in and of itself insane. And that goes back to the governance. Exactly. I mean, it feels like we're in the golden age of grift. like it feels like we're just in an era where the only reason this is happening is because they know they can get away with it there's no it's not like i've read multiple i would say like five different articles on meta google microsoft amazon and their earnings and the only reason anyone is slightly critical of meta is because their revenue growth wasn't as good as it as it was expected to be that's the only reason it's not it's not like analysts are point blank saying hey you haven't told us what your ai strategy is you may have wasted that they're not being blunt with them they're just like hey hey mark when you get around to it would you mind telling me why you spent like like 200 300 billion dollars and you want to spend 145 billion dollars this year when you when you got a minute don't worry i know you're busy i actually disagree with you on that i've Meta is the only company.

18:00Are they actually pushing them? I think that this has been recognized by the market, by Wall Street. Took them a while. I'll give you that. But I think that in the case of Meta, they actually are starting to ask those questions. And I think the problem is that the other companies, because they have those cloud businesses, they're kind of refusing to ask the tough question, or not even the tough question, the obvious question, of to what extent are you dependent on OpenAI and Anthropic2 companies, which are losing gargantuan amounts of money, two of the most unprofitable companies in the history of companies.

18:34And that's literally a fact. You can look up the list of the most unprofitable companies ever. And you'll notice if you do the math, OpenIon Anthropics should be in that list. So I think that they are not doing that homework, that hard work of digging into the numbers and asking that difficult question when it comes to, especially when it comes to Google and especially when it comes to Amazon. But I do think that they are worried about Meta's total lack of interest in laying out how they plan to generate any returns on this whatsoever.

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21:19well that's the thing though i will push back again on meta sure they are asking the questions yeah but they're not point blank saying hey you've not shown it they're not and even the media the media is absolutely not like they're saying oh there's concerns over ai spend being higher than usual that's strange it's this kind of like plodding oh i guess maybe we should find something out and the analysts are pushing these questions now but as we speak and in two days this will come out so he knows it'll be down again but met has already recovered six percent today it recovered a couple percent it's already on course to recover all of the losses yeah so it's not like anything changed but as as we discussed before we got on here there are some analysts who have tried to work out or have estimated the actual concentration of revenue for Amazon, Google, and Microsoft for OpenAI and Anthropic spend.

22:20And as we were just discussing, so Ross Sandler over at Barclays, he estimates that 73 % of all Amazon's AI revenues in both 2026 and 2027 will be Anthropic and OpenAI's compute spend. Which is completely insane. remember insane it is insane so i found this a couple days ago i've been working on it and i thought well it can't be that bad elsewhere except i looked at ubs's steven jews he said this back in uh so barclays is back in in march stevens was in june and he said that 40 sorry it's 27 percent of all google cloud revenues so not ai revenues all google cloud revenues for 2026 are estimated to be open AI and Anthropic, and then 44 % in 2027.

23:08That is completely fucking insane. Like that is just, this is to me such a huge scandal. And I mean, I could also mention that, well, there's also a Wells Fargo report that says that Microsoft's same deal, 73 % is Anthropic and OpenAI of their AI revenues. Michael Turin over there. And it's like, I feel like I'm going a little insane because when you read these numbers you're like oh these are from major investment analysts how are they not calling like hey mr fargo mr fargo i read these numbers and you should really check these out because uh we might be in trouble and i think and friend of the showcase kagawa really helped me nail this down i think it's these people are only capable of thinking two quarters in the future like they can they can think of 2028 they can think of 2027 but they can only do so in terms of the last two quarters.

24:03Number has gone up. OpenAI and Anthropic are still solvent. So number will keep going up. It isn't a problem that the revenue is centralized because number keep going up. But to me, this is potentially one of the largest corporate scandals in tech history. And maybe I'm being dramatic, but we're talking over$990 billion of CapEx now. and most of it is for these two companies that can quite literally not afford to pay unless one of those three companies gives them the money. Yes. This is a huge, huge problem. And you were saying that the analysts weren't and the media weren't doing their job in terms of asking meta questions about how they're going to generate a return.

24:46I sort of pushed back on you. On this one, the silence is deafening from the analysts and from the media. There is a very, very obvious concern when it comes to the businesses of the largest and most systemic companies in the world, the companies on which the portfolios of every American are entirely predicated on, on which the entire stock market relies on. And that is how much of your business depends on two companies, OpenAI and Anthropic. And you are one of the few people who has been doing significant work into uncovering that answer, and you have looked into some of the research that has come out of Wells Fargo, Barclays, UBS, and we should give those analysts credit for crunching those numbers and doing the hard work of figuring it out.

25:37But the numbers are insane. OpenAI and Anthropics, 74 % of Microsoft's AI revenue. That is very, very unsustainable. We talk about diversification in markets, the importance of having a diversified portfolio. The same thing goes for business. You want to have a diversified revenue streams. That indicates strong, healthy, sustainable growth. None of these big tech companies have anything close to diversified revenue streams when it comes to AI. And so you have to ask the very obvious question, what would happen if one of those two companies, OpenAI and Anthropic, went under? And you also have to ask the question, What is the likelihood that one of those two companies, OpenAI and Anthropic, could go under?

26:25What is the likelihood that they would not be able to make good on those payments that are propping up the growth of these big tech companies, specifically when it comes to their revenue? And the answer is, it's actually pretty fucking high. Yeah. Because you look at the financials, and they are ugly, as you've talked about at length. And we can get into, but I want to pass it back to you. now the thing is a fun story a couple days ago amazon they were meant to give open ai another 35 billion dollars if they went public or reached agi well none of those none of those things happened of course but uh they still gave them the 35 billion dollars a couple days ago and that and that's crazy that's a really crazy number especially because that is well let's just go and have a look at these numbers from ross sandler at barclays that is so 35 billion dollars is roughly oh let's see yeah it's a little bit it's around how much ai revenue amazon has made this year so 40.1.9 plus 8.5 actually yeah yeah it's a 3.4 billion dollars less sorry more than amazon is estimated to make on AI this year in totality, including OpenAI and Anthropic spend.

27:41So that's good. Just handing themselves money, just handing it to OpenAI and Anthropic so they can hand it back. They already gave$5 billion to Anthropic. They already are on course to give them another$20 billion sometimes this year. Google already gave$10 billion to Anthropic this year, has another$30 billion they owe. So this is not a real economy. It's not real growth. No one's actually doing business here. It's just people handing money to each other and being like, yep, look how profitable we are. Even though that doesn't seem like it's exploding margins either. It doesn't seem like it's having much of an effect at all.

28:22But what's really concerning is everyone's excited about these companies because of their cloud growth. And it's really beginning to look like most of that revenue growth is coming from this spend. Yes. Which is terrifying. It's almost all of it is coming from those two companies. Earlier, you said that them not reporting that their revenue is coming from OpenAI and Anthropic alone, that that is something of a scandal. I think that is just irresponsible. I think of it less of a scandal. The part that I do think is a scandal is the circular financing aspect of it. It's the fact that those two companies are also the two companies in which big tech invested billions and billions of dollars in order to keep them afloat.

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29:08And that is the only reason why those companies are surviving. Yes, it's Silicon Valley and venture investors, but a lot of that investment is corporate investment coming from big tech. It's coming from Microsoft. It's coming from Google. It's coming from Amazon. And so the idea that the largest customers, the customers that are driving the majority of these companies' revenue growth are also the companies in which those companies had invested in, that is a very, very obvious conflict of interest, at which point it starts to get into actual scandal territory. I don't think that calling the circular financing epidemic, I don't think calling that a scandal is overkill.

29:48I don't think that's a stretch too far. I think it really is a scandal. And I think it's actually shameful the way Jensen Huang has talked about it, where he was asked this question about the circular dealmaking. And he said, I don't think it's circular at all. He simply denied it. And he didn't come up with an explanation as to why it wasn't circular. He didn't come up with any real excuses. He just said, no, that's wrong. BS. I don't like what you're saying. And then he just moved on. And that is a real problem. That's when you start to see that actually these executives either are either they're just blindly ignoring what is happening, or they are actually lying.

30:26I mean, I think that it's reasonable to assume that Jensen Huang told a lie when he said that he didn't think that what they were doing was circular. Just to go back to the question of would open AI go under? Because that's how this goes down. Yes. And that is also a point that people are now readily discussing. It's no longer longer fringe economic theory from a crazy person called Ed. It's now something that people want to discuss and are worried about. Yes. But they discuss it in this way that is like, I don't know, like if a neighborhood restaurant shut down. Like it's like, oh, you know, these things happen.

31:15Business is tough. i'm i wish i was kidding but i've tried to talk to reporters about this and try to be like hey look this company is really holding up the earth yeah like they they are quite consequential to the future revenues of multiple companies and they're like yeah but you know there's other demand yeah and that's the thing when the big thing that this that the piece i'm working on it'll be out by the time this goes out, says is like, yeah, the other problem with 73 % or so of AI revenues for Google, Amazon, and Microsoft being open AI and anthropic is, and just be clear, this progresses over the years of estimates.

31:55It's not like they say, okay, demand will even out. That suggests that there isn't demand for AI. Just writ large, that there is not demand, at least not at the scale that's been promised and definitely not at the scale that will satiate all of these data centers like they get it's not possible when you look at these numbers and this is not me just being like oh i'll work some stuff out with some articles these are actual financial analysts yeah yeah these are yeah it's genuinely terrifying because it's it's not just how bad it will be and yes we'll get back to open ai dying in a second it's the fact that everyone's kind of just looking at it be like, ah, it's all right.

32:40So I think, yeah, I think it was really, the actual philosophy was, was revealed in your Bloomberg interview. Um, and you know, I don't mean this disrespectfully to the interviewer. I thought it was actually a great interview and I thought they did a really good job, but, um, I forget her name, but the interviewer said something that said something quite important to you where she said, I just want to make sure you understand. I just want to make sure we're all on the same page page here. the people who run these companies are very smart people. And that was the beginning of the question, which would go on to say something like, are you really sure about all of this?

33:17And I think that is the hesitancy that you're seeing when you talk to media outlets, when you go to the New York Times. And I think that's the hesitancy among all of us, which is that to say that this company might not actually work out, which is not an insane thing to say by any stretch of the imagination when you look at their financials and when you look at their numbers. But to say that it might not work out is to say that the people who are running that company and the people who are investing in that company aren't the smartest people in the world. And today, that is a bold thing to say.

33:51It is a bold thing to say that Satya Nadella might not know what he's doing. It's a bold thing to say that Sam Altman might not know what he's doing. It's a bold thing to say that Mark Zuckerberg might not know what he's doing, which is quite crazy to me, considering that just a few years ago, he spent more than$80 billion trying to build the Metaverse, which was a total failure, total dead on arrival. He renamed his company to Meta because he thought that this was the future. He was so, so wrong about that. So the idea that these people can't be wrong, or that they can't spend money incorrectly, or that sometimes they might actually not be great capital allocators.

34:32That is total lunacy. It is a total fantasy. But for whatever reason, people don't want to believe that. People get uncomfortable when you start to suggest that. And that, I think, is why people get uncomfortable when you say the things that you say, because it suggests maybe these guys don't know what they're doing. well it's that and also let's just let's just say this right now i'm looking at the barclays numbers in front of me open ai dies tomorrow that is let's look at it 28 of amazon's ai revenue next year gone goodbye just just evaporated and indeed 27 for the next two years as well if anthropic and open air if one of them dies what that's like 20 let's see open ai is a what it looks like about 12.5 billion dollars of google's 2027 ai revenue just like gone evaporated and otherwise their other ai revenues are pretty flat it looks like vertex vertex kind of increases but again that's through selling anthropic and open ai's models it's i don't think people realize that there's a great charts coming in this article as well how much of azure's revenue as well is just open ai spend and it's let's see let's take let's take a look at this chart of azure revenue as well 62 let's see yeah it's about 72 68 to 72 in fiscal year 2026 and as much as 74 in 2027 if these companies die they lose most of their ai revenue evaporated and that's not including the amount of money that comes through azure ai renting out their models yeah like and people are just like yeah you know if that happens there'll be more demand i have this guy who's a very well meaning guy he's on twitter he's a he's a semiconductor bullet analyst he always responds and say look all useful compute will be bought all useful compute will be bought it will always be bought and i'm like yeah but if open ai dies the largest consumer of ai compute what happens that well it'll get bought yeah and it's just insane to me it is genuinely bonkers to me that no one like i guess i guess what it is taking a step back is looking at what you said as well is it's they don't want to follow the argument to the logical end point because it's all of these smart people were stupid that's right and also everyone was wrong wrong in a way that is going to be very difficult to back out of that's right that's also that we they will like to just Let's be clear.

37:05Yeah, that's the problem. Now, so I'm in total agreement with you on all this. I want to take things to their logical conclusion further. And I'm going to say some, but I don't know if you're going to be that excited about what I'm going to say. That's fine. Because when I think about this, what would actually happen if AI were to basically just die? If OpenAI actually died, and if Anthropic actually died, and I think there's good reason to believe that, which we can get into, we can get into their financials and just rehash them because they are very important, they're systemic to the ecosystem.

37:38But I sometimes like to think, okay, what would a world look like where the AI thing just didn't work out? And I have to say, a lot of that anxiety actually is priced in right now when it comes to big tech. And I just want to point you to the price to earnings multiples. Yes. The price to earnings multiples of big tech at the beginning of 2023, I went back and looked at this. This was right before the AI trade took off. If you look at the price to earnings multiples, you look at Microsoft, it was trading at 26 times earnings. Amazon was trading at 80 times earnings. Meta was trading at 31 times earnings.

38:18If you look at the PE multiples today, and by the way, I looked at this as of last week, at the end of last week, right after they reported their earnings. So they could have changed by now. I'm sure they have. Microsoft's multiple is lower than it was. It's at 25. Not that much lower, but it is lower. Amazon's is significantly lower. And this is the real PE, the one that I adjusted, not factoring in their investment gains on their Anthropoc and OpenAI stakes. It's trading at 30 times earnings. That's lower. And Meta's is significantly lower. It's trading at 20 times earnings compared to 31 before the AI boom.

38:54So I think one thing that we should recognize is that in some places, in some areas of the market, I think there are people on Wall Street who are actually quite anxious. I think there are a lot of people on Wall Street, Ed, who are reading your newsletter. I truly believe that. And I think that that perspective, the bearish perspective, and the acknowledgement of how this could all implode, I don't think that it is completely driving the market. I think there's more optimism than there is pessimism. But I do think that it is somewhat being reflected. And that is to say, if this all were to blow up, I don't think these stocks wouldn't crash.

39:35They would certainly crash. But I do think that it wouldn't be as horrible as it might have been, say, in 2008, when the housing bubble was truly elusive to almost everyone. That is my conjecture, and I'm sure you might disagree with me on it, but I do think we should recognize the extent to which there is some anxiety that is beginning to be reflected in some asset prices.

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42:17So one pushback, and I think it's a critical one, is that even though the price through earnings and all that reflects a little bit lower and it's showing some anxiety, it still is a price which factors in the idea that these companies will keep growing. Yes. And I think that that is a critical problem because I'm not sure, at least in the case of their cloud businesses, whether these companies are growing anymore when you remove OpenAI and Anthropic. Right. And I don't think it, like I'm not just talking, like I don't think Microsoft, Google, Amazon and Meta, though I think Meta could die in 10 years, I've thought that for a while.

42:56I think that it's falling apart. But I don't think they're dying. I think their stocks are going to get their asses beat. But the problem is going to be not just that AI didn't work. That's what's going to be the first problem. The second one is when they go, right, well, OpenAI isn't paying you anymore, and suddenly your revenues are down. Yes. And your growth has slowed. Hey, Google Cloud has stopped growing. It's stopped growing pretty much at all. it's in fact looks kind of flat what's the deal with that and it's because anthropic and open ai's computes compute spend was propping up the growth so while wall street might be saying oh well if ai doesn't work out i think what they mean is that they think ai won't work out and be the next big thing but there will still be big revenue generating businesses from this which is not the case i went and looked at the Wells Fargo estimates and Turin.

43:53And what's interesting for Microsoft is that in fiscal year 2027, so next year, they estimate the Microsoft 365 co-pilot will make$10 billion a year in annual revenue, which is pathetic. Yeah. That's like a third of intelligent cloud. I mean, it's a little bit less than they estimate the uh azure ai will make and which is predominantly made up of selling open ai's models i mean they they they said one of their bragging points on that earnings call was that they have 30 million copilot paying copilot users but what they don't really talk about is the fact that that's part of a larger enterprise bundle which only makes up about eight percent of their total microsoft 365 uh subscribers so basically what they're telling us that they're trying to brag but ultimately i read that and i go oh so you only converted eight percent of your user base that was that was the share of your users who were down to try this ai product that you say is going to change the world so to that point i don't think that they the strength that they are projecting in their consumer ai business is anywhere near uh what they'd like us to believe well on top of that the wells fargo estimates estimates estimates someone will get me on that one in the comments they only estimate that they made 3.85 billion for the entire fiscal year 2026 from 365 co-pilot you know the thing with 30 million paid seats they're discounting this to Timbuktu like this is this is being they're discounting it to hell and I mean pretty much anything like like pretty much anything that Microsoft sells has discounts especially when it comes to microsoft 365 but again the hogs lapped it up they love their slop they love being given a new big number so that they can interpret it when they again not really sure what these analysts were doing because i don't know again i think i've said this already like if i was working at wells fargo and i had these numbers i would be calling my boss's boss i'd be like hey guys high we have a problem because like i said earlier it's not just that microsoft google and amazon have pathetic ai revenues outside of open ai and anthropic it's that if they have pathetic revenues if they as the largest holders of ai compute as with the ones with the best pricing power with the best teams ostensibly with the most experience building ai data centers and providing ai compute if they can barely scrape together what like what's like let's see so it's 70 like 73 74 percent of their revenues so like they have this meager little little shrivel of their ai revenues is from diverse revenue if that's the case then there is not demand for ai compute it's not that there's only a little it means there's none it means there's actually like There is a couple billion, because again, when you look at the other providers, CoreWeave, who are their biggest customers?

47:01Anthropic, Meta, and OpenAI. Who's Iron's biggest customer? Microsoft. Nebius. Microsoft. What's Microsoft doing with AI? Not very much. Not actually very much at all. They are providing compute to OpenAI and conning people into buying Copilot. Yeah. It's astonishing because this is bigger than them. it's bigger than them it's the 190 gigawatts of planned data center capacity it's all of these data centers being built everywhere i it like i i'm stuttering because it's like the ramifications of this are everything i've kind of feared which is that ai demand does not exist at scale and most of these data centers don't go paid for and that's even if anthropic and open ai like succeed in surviving past 2027.

47:51Well, I think you said something important earlier about the growth. And that is if this AI thing doesn't work out, it's not as if Microsoft and Amazon and Google and Meta won't have a business anymore. They had a business before AI and the business was pretty big and doing pretty well. What it does mean is that these companies won't actually be growing anymore. They won't be growth companies. And I think this gets to the heart of what AI has been all about. And that is that the big tech companies in late 2022, when ChatGBT was released to the world, they suddenly realized, oh my gosh, innovation is happening without us.

48:38There are other companies on the scene, there are other technologies, and we don't have a part in it. And so they decided, okay, what are we going to do? We're going to do whatever we can to take whatever semblance of technology exists in that company and then bolt it onto our own companies. We're basically going to inject that optimism into our own faces as if it were Botox to convince the market that we are in fact young again, that we are growing, that we're hot, that we're innovative, and that you should come and put your money in us because we're not just a company that's going to continue to generate cash.

49:13We're a company, we're a generational company. We're a company that's going to significantly increase profits at an exponential rate over 10, 20, 30 years. That is the story that they wanted to tell the markets. And they wanted to tell it so desperately that they were willing to actually go and invest in those companies like OpenAI and Anthropic and also SpaceX, which we haven't mentioned that much, but it actually plays a role in all this. And then have those companies come back and then buy our chips, give us back the money, and then we're going to use that and use that as a story to tell the world that actually we're young again, that we are growing.

49:52And convince everyone by proxy to spend money on AI compute, to compete with us with the companies that we invest in. We will obliterate our balance sheets in the process. And that's where things are going to it really ugly. The companies that really start to lose cash, and we're starting to see it. Amazon, negative free cash flow. Google, negative free cash flow as of this quarter. But that's really what they're doing here. They want to be young again. But if you look at these companies, these companies are old. These are mature companies. Their heyday is behind them. But they don't want to believe that.

50:32They want to live forever. They are the Brian Johnsons of the world of technology. And so I think what's going to happen if this thing doesn't work out, I think there's a high likelihood that it won't because of the financials of opening Ion Anthropic and how dependent the whole world has become on them. I think what will happen is the companies won't go under the big tech companies. I think what will happen is Wall Street will look at them and they'll say, you're not a growth company. You're a mature company. And that means that we're going to assign a mature multiple to your earnings. We're not going to have the days of...

51:08I think that'll look like something in the range of 15 to 20 times earnings. So that's why, by the way, Meta I'm not so worried about, because Meta is actually in that range. I think if you look at the company, I think Wall Street is looking at it and saying, this is a company whose growth prospects are unlikely at best. So I'm not so worried about Meta. The companies I'm more worried about is a company like Google trading above 30 times earnings. By the way, a company that's gotten way out over its skis from a multiple perspective, which is really surprising to me, is Apple. And I think that's because people have actually gotten nervous about the AI trade.

51:44And so they said, okay, Amazon still has cash on the balance sheet. Apple's trading at nearly 40 times earnings. The way that they have been able to dupe the market into thinking that they are a growth company when they haven't come out with a new product in 10 years and the ones that they've tried to come out with and tried to sell have completely flopped they canceled the apple car the vision pro was a total disaster i mean that's that's very clearly not a growth company but i think that's the question the funny thing is with apple as well is that they've managed to keep going by just not blinking on the ai trade except the ai trade fucked them over because of the increasing cost of RAM.

52:23Because of everyone buying into, I mean, that's the other thing. It's like the increasing, this is the other. So actually, this is a good bridge from what you were just saying. The other problem with this as well is, yeah, you're saying these companies will be assigned growth, like the multiples associated with old, old, boring companies. Boring, old, mature. But again, I don't think that factors in A, the fact they're not growing, but B, the fact that they have hundreds of billions of assets now they just burdened with debt endless debt microsoft has been kind of smart in the amount of debt it's taken on it's nowhere near as encumbered but who knows at this point google's done a massive equity sale they plan to do a massive equity sale the more on tilt they get in order to pursue this botox future of being young again, the more dangerous - You've got to write that up.

53:17The more dangerous, the larger the threat to their entire existence becomes. So I will agree with you. If they continue down this road of, I'm not just going to pay for the Botox with the cash that I already have in my bank account, I'm going to take on significant amounts of debt, significant amounts of leverage and margin in order to pursue that dream because I'm so obsessed with pursuing it and I need to do it because I have to be young again. If they take that to its end, to its logical conclusion, as you say, then, yeah, we can start talking about will these companies implode. And I think Oracle is an example of a company where they have done that.

53:54They have genuinely done that, and its prospects are genuinely terrifying. We're starting to see it with some of these other companies. I was shocked that Google was willing to come out with a quarter of negative free cash flows. I was shocked that Amazon was willing to do that. So it does appear that they're starting to lose their marbles on this front. They're so obsessed with the mission. They're so obsessed with the AI future that they are actually acting irresponsibly. But I don't think that we're quite there yet. I think the signs show that they're going to continue to do this. I mean, if they continue to load up their balance sheets with debt, who knows what the future will actually look like.

54:33But so far, they're not quite in a place where they're fully going to collapse and implode. would be my read of the situation at present. I fully agree, by the way. I don't actually think the big three collapse. I think Meta is already on the down spiral. I think their product is collapsing. And the things that I continually hear from that company suggest that the culture is screwed. But nevertheless, for the short term at least, next five years, I think that they will be fine. They're not going to have a fun time of it when this ends. Again, when it comes to logical endpoints and the way that people don't want to discuss them, Oracle is now spending all of its revenue, just more than its revenue, on AI CapEx just for OpenAI.

55:23And I mean, the New York Times just fucking ripped me off, by the way. Like there is a sentence in there about Fallen Angels that is like bordering on identical to my piece. Fucking New York Times, man. If you're listening from the Times, go read the Oracle piece, go read my Fallen Angel bit from the OpenAI bubble. You tell me if I'm crazy. But nevertheless, people are having this conversation like, wow, Oracle, they're kind of unprofitable. That's not good. Wow, that's not good. But then they stop short of saying the thing that they don't want to say, much like everyone else. And I want to talk about this bit, which is, yeah, if Oracle doesn't work out the AI trade, it dies.

55:59Yes. Its revenue has been flat for 15 years, adjusted for inflation. It has. The crazy thing is, I wrote about this a couple of weeks ago. the crazy thing about oracle is that they actually would be on the decline already but whenever they slow down they buy more companies they just acquire companies they're like they're really strange yeah but nevertheless no one wants to talk about the fact that oracle will die and honestly seeing these numbers yeah oracle will die it's it is a it is a genuinely it is a genuine possibility it's it's not overhype it's not doomerism it's it's it could genuinely happen I think we should give credit to one group of people who actually do seem to be pricing in that possibility, and that is the credit default swap traders.

56:46Oh, yeah, the CDS people are. Whichever ones have driven those CDSs up to where they are. I don't know where they are exactly right now. And that's just betting on whether Oracle will die. That's betting on it dying. Specifically betting on whether it will default on its debts. Yes. It's the insurance that you pay on the possibility that it will default. And the price of that insurance is going up. People are beginning to realize in that market specifically that the possibility is real, that it could actually happen. And I mean, I think there's a question as to, again, whether they're too late on that.

57:23Weren't the signs there before? Couldn't we have started to see this coming not today, but 6 to 12 to 18 months ago? And I think that would be the contention of your readers and your listeners who have been hearing about this from you for a very long time. And then suddenly everyone decides, oh, maybe it's a problem. Maybe we'll start to write some articles on this. Maybe we'll start to see those spreads widening on the CDS swats. But we should give them their props. Some investors seem to be acknowledging the situation. Yeah. Well, you know what, Ed? I think that's actually a good spot to end it.

58:01People can find you on Prof G Markets. What are you working on at the moment? Because you should write up that Botox thing. That's an incredible, it's an incredible idea. It's a banger. Please run with it. Okay, I'll see that. That'll be my next newsletter. Let's see, I'm working on a newsletter where we're talking about what happened in South Korea last week. That'll go out on Tuesday of this week. So that's tomorrow. I don't know when this episode will come out. But if you want to come follow my work, go to Prof G Markets. We're on YouTube. I cover the markets every single day of the week or at least Monday through Friday and we talk about everything we have people on from all walks of life from different sides of the market we try to have bulls on we try to have bears on and we'll certainly be having Ed Zitrin on in the future as well because we love him and we love his analysis we love the Eds alright you'll find me on the monologue this week as well haven't worked out what it's going to be it'll probably be about this thank you as ever for listening subscribe to the newsletter premium as well as my main source along with the podcast.

58:59I love you all. Thank you for listening.

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In this week's Better Offline, Ed is joined by Prof G Markets’ Ed Elson to talk about the recent slew of tech earnings, how analyst estimates show that 70% of Microsoft, Google and Amazon’s AI revenues come from OpenAI and Anthropic, and the logical endpoint of his AI bubble thesis.

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