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Jim Chanos
Founder & Managing Partner, Chanos & Company

Jim Chanos: The AI Bubble Is “Much Worse” Than Dot-Com

📅 Jul 17, 2026 RiskReversal Media 46 MIN 400711 VIEWS 125 SEGMENTS · 3 SPEAKERS
Dan and Guy speak with legendary short seller Jim Chanos about extreme market dispersion beneath an S&P near all-time highs, rising retail speculation, and a new wave of IPOs, secondaries, and insider selling. Chanos explains his hedged 40-stock model portfolio and argues the AI build-out is driving a torrent of equity and debt financing, often off balance sheet, into long-lived assets with uncertain economics. He warns that long-term projects are being justified by spot pricing, while “construction in progress” accounting and depreciation timing defer costs, inflating earnings and masking obs...

What Jim Chanos said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Jim Chanos said the current AI boom is 'much worse' than the dot-com era, arguing that hundreds of billions in capital expenditure are going into projects that may be 'completely uneconomic from day one.' He noted that while hyperscalers remain profitable, most of the ecosystem is not, and that the scale of spending dwarfs the $100 billion spent by CLECs and fiber companies from 1998 to 2002. Chanos criticized the use of spot prices to justify long-term capital projects, highlighted the growing 'construction in progress' on balance sheets that defers depreciation, and said the return on incremental invested capital for hyperscalers has fallen from 40% to about 20% and could approach 10%. He also pointed to record issuance and insider selling as a third leg of a speculative stool, and said no company dependent on Nvidia should trade at a higher valuation than Nvidia itself.

Key takeaways

  1. The AI bubble is 'much worse' than the dot-com era, with hundreds of billions in CapEx on projects that may be uneconomic from day one.
  2. Return on incremental invested capital for hyperscalers has fallen from 40% to about 20% and could approach 10%.
  3. No company dependent on Nvidia should trade at a higher valuation than Nvidia itself, yet many do.
  4. Record issuance, insider selling, and retail speculation are building a third leg of a speculative stool, similar to 2021.

Numbers and commitments

FigureWhat it refers toTypeAt
40% Return on incremental invested capital for hyperscalers a year and a half ago metric 34:41
20% Current return on incremental invested capital for hyperscalers metric 34:41
10% Potential return on incremental invested capital if spending continues metric 34:41
$100 billion Total spending by CLECs and fiber companies from 1998 to 2002 metric 14:37
10 to 12 years Physical life of chips if run 24/7 metric 26:45
5 to 6% Power costs as a percentage of data center revenues metric 32:32
10 years Depreciation period used in Chanos's models for data center economics metric 25:46
5 to 6 years Depreciation period used by hyperscalers and neo clouds metric 26:45
6% or 7% Interest rate level that would 'blow up' asset classes other 26:45
5% Interest rate level that could cause credit spreads to widen other 11:48

Chapters

  1. 0:00Market dispersion and speculation
  2. 2:31Model portfolio and hedging approach
  3. 5:02Issuance and insider selling as warning signs
  4. 7:56Debt and off-balance-sheet financing in AI buildout
  5. 9:53Interest rate risk and cap rates
  6. 13:27Comparison to dot-com era spending
  7. 16:38CapEx sanctity and spot pricing mismatch
  8. 20:16Nvidia valuation and hardware ecosystem
  9. 23:47Construction in progress and depreciation accounting
  10. 27:54Neo cloud business model shifts and asset sales

Questions asked in this interview

12
  1. 1:19We'll get more granular, but you know, are things sort of breaking in our midst?
  2. 3:24How do you square that a little bit?
  3. 6:3580 billion, and then it was upsized to 85, right?
  4. 12:32And I say to myself, how durable are these long-term contracts if you're like one of the biggest spenders in the area, but you don't want to actually have this debt on your balance sheet?
  5. 16:23Do you believe that to be the case?
  6. 21:47Is that sort of what's embedded in that?
  7. 26:41You use 10 years, they're using, let's say, six. What should it be?
  8. 30:42But so on the eve of the IPO, we all know that XAI was a money pit, right?
  9. 31:53All of a sudden though, are we starting to see the [clears throat] overbuild despite what we continue to hear about CapEx going higher?
  10. 37:46I think in large part due to the fact that they've been sort of watching everybody else. Thoughts on that?
  11. 39:15I mean, like, you know, we know that the — you get my point, right?
  12. 40:40And they're using them as collateral when they're going to do that, right?
Jim Chanos 0:00 ↗
In bull markets, you put a premium on promises, and in bear markets, you put a discount on reality. And we're clearly in the former right now. Do we get to the latter? I don't know. There are a handful of companies that are gatekeepers and price makers in this boom. Nvidia's one of them. Not one company in the hardware space should trade at higher valuations than Nvidia. That's one of the things we hold dear.
Guy Adami 0:26 ↗
Most of them are.
Jim Chanos 0:26 ↗
Particularly some of the more specious data center companies that are dependent on getting Nvidia chips. No one that is dependent upon Nvidia to exist should trade at a higher valuation than Nvidia itself. And yet many, many companies do.
Dan Nathan 0:47 ↗
All right, welcome to the Risk Reversal podcast. Coming in hot here, guys.
Guy Adami 0:51 ↗
Well, I love this room, and I love the fact that Jim Chanos is here. What do the kids say?
Dan Nathan 0:56 ↗
IRL.
Guy Adami 0:57 ↗
IRL, in real life. All right, Jim is a... Well, you're the founder and president of Chanos & Co. You've been very generous with your time over the years. We've been doing this what, how many years, guys?
Dan Nathan 1:07 ↗
I think we're into our sixth year, if I'm not mistaken.
Guy Adami 1:10 ↗
Jim, you are a crowd favorite. We appreciate you being here.
Jim Chanos 1:14 ↗
Oh, thank you. Thank you for having me on this 100-degree day with air quality index and gridlock alert.
Dan Nathan 1:19 ↗
But it's going to break, like many things. And with that segue, is there anything breaking right now? I mean, there are a lot of strange things happening in the world, Jim. So, I know that's a 30,000-foot question. We'll get more granular, but you know, are things sort of breaking in our midst?
Jim Chanos 1:36 ↗
I mean, the S&P is basically at all-time highs, right? Within a stone's throw of all-time highs. And yet under the surface, and we may have mentioned this the last time I was on, but under the surface, there's a lot going on. A lot of things are acting poorly, and a lot of things have just gone parabolic. It's a really interesting time for stock dispersion, for long-short guys, and for us this has been a lot of alpha on the short side since I last saw you. So, I mean, things that aren't loved by the crowd have basically been shunned.
Dan Nathan 2:13 ↗
And just to take a step back for a second, because oftentimes in the press when you are referred to as a famed short seller, right? And so, I just want to take one step back and just describe a little bit when you say we're short this, we're short of that. It's not like you are a short fund, you have a model portfolio. Just explain a little bit for the audience.
Jim Chanos 2:31 ↗
We put together a model portfolio for clients. We're no longer running third-party money directly. We're just running our own money and advising institutional clients. So, but we do have a model portfolio. And that is structured with 40 ideas, but it's designed to be hedged, and we tell our clients how best to hedge it, whether through S&P or more custom hedging. And we really don't want to take a view on the market overall. We want to take a view on our 40 stocks versus the market.
Dan Nathan 3:03 ↗
And deep fundamental work is going on there. Let's just kind of go back to the market for one second because you said a stone's throw away from all-time highs in the S&P. Guy and I seem to talk about that every day. And there are parts of the market away from, let's say, you know, semis and storage and memory, that sort of thing, that have been acting very well.
Jim Chanos 3:22 ↗
Yeah, yeah, yeah, yeah, yeah.
Dan Nathan 3:24 ↗
So, when you think about just the dispersion that's going on. Today's a great example. You have the SOX down 3%. We're recording this on Wednesday afternoon. You have that DRAM ETF, I think at one point it was down 10%. Okay, so that whole kind of infrastructure is getting absolutely killed, but the hyperscalers are all up three, three and a half percent. They almost feel defensive at this point after they've all sold off, let's say, at least 15% or so. How do you square that a little bit? Because we're going to go deep on hyperscalers versus the infrastructure that goes into it and the like, but you know, this is one of the weirdest days that I've seen in tech in a very long time. And the S&P is flat on the day because of this.
Jim Chanos 4:05 ↗
Right. Yeah. And that's what I'm talking about. And so my hedges are probably broadly flat on the day. And that's fine. But the rotation that's happening under the surface is tremendous. I mean, I know others have measured it, but the willingness of these sectors to go in and out of favor and large-cap stocks that are well-followed to move 5 to 10% a day on no real news other than flows and sentiment is, I think, remarkable, but I also think it's highly speculative.
Dan Nathan 4:43 ↗
Right. Both up and down. Yeah, this has been going on now for a couple months where over the course of a week, you'll see this happen two or three times.
Jim Chanos 4:50 ↗
To the upside and the downside.
Dan Nathan 4:51 ↗
And you have a volatility index that's 17 maybe. So you have single-stock volatility, but the broader market volatility is not there. Is that just inevitable?
Jim Chanos 5:02 ↗
Yeah, I don't know, but I mean, all the signs that we see, again, and they've been building for a year and a half now, of retail participation, retail speculation. And now finally, we've talked about this before, the final kind of thing that hadn't shown up for this cycle, at least since '21, supply has now started. And now we're starting to see record issuance both in IPOs and secondaries and insider selling. And so you have now a third leg to the stool of generally rich valuations, retail speculation, and now heavy issuance. Generally, that's not been a great sign for the market as a whole.
So far, it's been okay. This happened in 2021, first half of 2021, we saw these characteristics where you had all kinds of issuance, you had a lot of disparity in returns. The general market went up, I think in 2021 the peak was on December 31. But shorts began to work in mid-year after GameStop, and that's what 2026 feels like right now in our numbers and in our ideas that we share with clients. It's just again, there's been a lot of volatility, most of it to the downside.
Dan Nathan 6:26 ↗
Mhm.
Jim Chanos 6:26 ↗
And you know, this reminds me, Guy, you saw The Wire, right? Or are you more of a Sopranos guy back then? This was the days of the...
Guy Adami 6:33 ↗
Love The Wire. Bunny is one of the characters.
Dan Nathan 6:35 ↗
All right. Well, listen, there was a quote from Slim Charles. He's saying to Cutty — Cutty just got out of jail — and he basically says to Slim Charles, he says, 'Man, the game has changed.' And Slim Charles says, 'No, no, the game is the same, it's just got more fierce,' right? And so, when you think about 2021 — that's pretty good, right? I didn't come up with it. But, when you think about 2021, and you just think it was like death by a thousand cuts, and that was SPACs, it was just a bunch of that was coming to the market. And we also saw a bunch of stuff that people were not particularly interested in 2019 prior to COVID that just went parabolic. You remember, like a Snap went from like five to 80, and we saw it in PayPal, and the list goes on and on. When you think about issuance, right? So, SpaceX does a $75 billion IPO, and then they follow on with $25 billion in debt almost immediately. This is a week after, you know, Google, and I know you've had a lot to say about that, raised what was that number? 80 billion, and then it was upsized to 85, right? And then we know that Meta, and the list goes on and on. So, help us think about the combination of IPOs, secondaries, and then also debt, because this is the sort of thing where a lot of these companies who are raising debt, not the hyperscalers, but some of the smaller like the neo-clouds and Oracle for instance, and I go, they're like near junk where they're raising, and to me that's something that's very different given how important they are to the narrative or the sentiment about this sort of AI infrastructure building.
Jim Chanos 7:56 ↗
Yeah, there's a lot more debt that's being used than people think. A lot of it's off-balance-sheet, as you guys know. Which makes it interesting, and the hyperscalers themselves are issuing now record amounts of equity and debt. And so it's a torrent of credit needs in this very hot sector, the AI buildout, with very uncertain returns, and we'll probably talk about that a little bit later, but that's what's so interesting in that, you know, in 2005 and 2006, it was people taking out mortgages to buy homes that were overpriced. But you know, when all was said and done, the homes actually held their value. They went down for a couple of years and people that were over-levered or didn't have the income to support the mortgage defaulted, but the home prices pretty much kind of held up. The assets held up. This is much different. We are embarking on hundreds of billions of dollars in CapEx and projects that may be completely uneconomic from day one. And I'm not talking about the models. I'm talking about the physical structures, the data centers and whatever, that you just can't get the numbers to pencil out on in any really meaningful way, and yet more and more capital is going to that asset class with lower and lower returns, and that's going to be, I think, a really interesting thing to play out.
Guy Adami 9:28 ↗
All right, shelve that for a second because then we'll come back. The credit markets show no sign whatsoever of being concerned at all. Now maybe, and you know this better than I do, but credit doesn't care until it does, and when it does it happens fast. Rising interest rate environment is not — we are not set up for interest rates to go higher in this country, whether it's the market or the economy. So, thoughts on that.
Jim Chanos 9:53 ↗
There's too many projects that get penciled out at mid-single-digit pre-tax rates of return. Whether it's office buildings, whether it's data centers, whether it's storage centers, whatever. Everybody is doing deals at five and six and seven caps and with the 10-year at four and a half. And so, you know, you just apply a lot of leverage and maybe some crazy mezzanine financing and you tell your equity investors, 'I'm going to get you 15%,' you know, and that's how it's done. Rates going to six or seven just blows that all up. Blows up asset class after asset class. And I think that's a risk that is not being appreciated beyond just to talk about data centers or what have you. I mean, you know, SL Green here in New York City, where we're sitting, trades at a five cap, you know, for New York City office buildings. SL Green's stock's gone nowhere in 25 years. It's been a terrible investment. So, their office buildings have been a terrible investment, and we have no position in SL Green, but I'm just saying to me it's a bellwether of the willingness of people to put really, really low cap rates on assets, and that applies to equities as well, but you move interest rates up to six or seven percent and the world falls apart.
Dan Nathan 11:23 ↗
Well, it's interesting. I mean, they can put the cap rates wherever they want. The market doesn't have to participate in those numbers. They can say this is foolish, but they're going down that road. So, let me ask this question. You said at 6% things fall apart, but the market will sniff that out long before 6%.
Jim Chanos 11:40 ↗
But it will sniff that out long before.
Dan Nathan 11:42 ↗
So, where is that level? Like, where's that sort of line of demarcation?
Jim Chanos 11:45 ↗
I don't know.
Dan Nathan 11:46 ↗
You have a thought, though.
Jim Chanos 11:48 ↗
I mean, I think that if we saw acceleration toward 5% with feelings that it could go higher, I think spreads would begin to widen out. And that's what you need to see. You referred to it earlier. And spreads in the lowest end of junk are starting to widen out, by the way, on triple Cs. But in the triple-B, double-B area, they're not. And I think that you would need to see rates moving toward 5% with some vigor where suddenly credit investors would begin to rethink, you know, maybe I don't need to buy this office building at a four-and-a-half percent cap rate.
Dan Nathan 12:25 ↗
So, I've heard you say that what's going on right now is like a redux of what we've seen in the late '90s, right? And so...
Jim Chanos 12:31 ↗
It's much worse.
Dan Nathan 12:32 ↗
It's much worse. Okay, I don't want to get to why that is, but like can you draw a line, and I think you did just a little bit, between the internet infrastructure build and then as we get to the financial crisis? Because, you know, one of the things that got my antennas up, like this was I want to say going back six months or something like that, where Meta announces this Louisiana data center and Blue Owl and SPV and KKR. And it was like, and I was like, I had a hard time as just a dumb equities and options guy like getting my arms around that. And then I started looking at some of the terms, you know, Meta was only going to own 20% of it and they had a three-year out. And you know, all this sort of... And I say to myself, how durable are these long-term contracts if you're like one of the biggest spenders in the area, but you don't want to actually have this debt on your balance sheet?
Jim Chanos 13:19 ↗
No one seems to suddenly want to have the hard assets. And we can get into that a little later because there's some developments this week about that.
Yeah, it's incredible. So, in the dot-com buildout, there were only two business models that failed from the get-go, right? And those were the CLECs, which were the competitive local exchange carriers, which were in effect putting a phone company in every building in Manhattan. Everyone was going to have their own phone exchange. And the Lucents and Nortels, whatever, spent lavishly to invest in them so they would buy their equipment. The other one was the fiber, which ultimately worked but took so long to pay out that the fiber companies pretty much all defaulted. Those two industries as a whole, and we went back and looked last year in our files, those two industries spent a total of a hundred billion dollars over five years, from '98 to '02. Right? So, while they were raising lots of money, it was basically 20 billion a year for both industries.
Dan Nathan 14:30 ↗
What's that in today's dollars? I mean, no, but...
Jim Chanos 14:34 ↗
Well, that's what I'm saying is it...
Dan Nathan 14:36 ↗
It pales in comparison.
Jim Chanos 14:37 ↗
In comparison to what individual companies are raising in this cycle on data centers and AI buildout that may or may not be profitable. So, most of the spending that occurred in the dot-com era was by enterprises. It was by Bank of America, it was by Merrill Lynch, it was by GE and Coca-Cola to basically network their computers together. And some of it was to replace PCs because of worries about Y2K. By and large, those companies were profitable and remained profitable through the cycle. What they did was they cut back their orders. And that's what I keep pointing out to people. You know, if Coca-Cola needed 10,000 routers and it ordered from Cisco in 2000, by 2001 they cut it back to 2,000 routers, right? And order books just collapsed and earnings collapsed at the same time. But by and large the entities that were spending the money, the telcos, the enterprises, stayed profitable through that period.
In this go-around, right now the hyperscalers are the profitable companies that are doing the spending. So you have that bedrock, but almost everybody else in the ecosystem is not necessarily profitable right now and raising lots of VC money to build data centers or build out an AI model or what have you. And so the numbers today dwarf what was happening in '99 and 2000 in terms of CapEx and relative to the size of the economy.
Guy Adami 16:18 ↗
Moses put the commandments in stone, right? Like a chisel probably, right?
Jim Chanos 16:22 ↗
Ten times supposedly.
Guy Adami 16:23 ↗
Yeah, 10. Well, with a lot of words. How etched in stone — like I talk about the sanctity of CapEx. People seem to think it's sort of etched in stone, it's going to happen regardless of the environment we find ourselves in. Do you believe that to be the case?
Jim Chanos 16:38 ↗
No, and history says that's not the case.
Guy Adami 16:40 ↗
So why are people so willing now to say...
Jim Chanos 16:42 ↗
Because marginal returns on that CapEx are so high right now.
Guy Adami 16:46 ↗
And that's the reason.
Jim Chanos 16:47 ↗
Yeah, that's the reason. It's simple. Right now if you dig a hole in the ground and you get a client, you can claim I'm going to be able to rent out capacity for X and that's a 20% return on my capital, 25% return on my capital. The bad news is I'm only going to pay you that for a year or two and then we'll see how things go, but the asset that you're building is a 20-year asset. So people are making decisions on long-term projects based on spot prices. And that's a terrifying thing. We saw it in the shale business. We've seen it in lots of businesses. You know, so railroads in the 19th century, rail freight rates were enormous and there was tremendous incentive to build double and triple capacity, you know, from New York to Chicago or Chicago to St. Louis. And then, of course, when demand fell back a little, freight rates collapsed and railroads went bankrupt. And so matching duration is a really important thing. It even happened in the global financial crisis on the other side of the balance sheet where people were financing the long-term unsaleable part of their derivatives book in the repo market, right? And suddenly they realized there was a mismatch and people who'd lent them money in the repo market wanted their money back and the asset was still unsaleable. So, that's one of the biggest sort of financial crimes I'm seeing right now in terms of finance 101 is that people are committing long-term capital projects based on near-term spot pricing. And you know, given where AI models are, how they leapfrog each other, what demand may or may not be in two years, that's a big bet.
Dan Nathan 18:34 ↗
The best example of that is actually DRAM, right? And so this is obviously Micron. And they've owned this market and so now all of a sudden, you know, they figured out that you need high-bandwidth memory to attach to your high-end GPUs, right? To train the models, all that stuff, right? So when you think about Micron, it's a great example where after their last earnings report, I remember like some of the big reporters and whoever, you know, big bulls were saying these are LTAs. They were talking about the order book. They were talking about RPOs and LTAs, and you know, Guy used the word sanctity. I mean, like we've seen this before. Micron's a company that had negative gross margins three years ago, right? And so, you know, how much of this future expectation for revenues based on an 80% gross margin are you willing to assign to a company that has gone from, let's say, what was it, like 100 bucks like 18 months ago and it topped out at 1250 just recently and now it's trading at 950? I mean, that just seems egregious to me. And the other point that, you know, I'd love to get your take on here is that here's a company when Nvidia over the last three years has basically been doubling their revenues, right? And if everyone knew that Blackwell and Vera Rubin and all this stuff was going to need increasingly expensive memory to do all this, why is it that Micron was not bringing on capacity? You know what I mean? Like, what did they see or not see? What sort of visibility they had? And so, I guess, you know, at this point, why would you believe that those LTAs, you know what I mean, that huge order book that they are literally being awarded market cap right now for, right, that they are going to materialize over the next few years?
Jim Chanos 20:16 ↗
I mean, history says you should be very cautious about that view. I would turn the argument around from the other side of the telescope and say, 'Okay, there are a handful of companies that are gatekeepers and price makers in this boom. Nvidia's one of them. Not one company in the hardware space should trade at higher valuations than Nvidia. That's one of the things we hold dear.'
Guy Adami 20:44 ↗
Most of them are.
Jim Chanos 20:45 ↗
Most of them are. And particularly some of the more specious data center companies, whatever, no one that depends on getting Nvidia chips. No one that is dependent upon Nvidia to exist should trade at a higher valuation than Nvidia itself. And yet many, many companies do. And so again, it's even within the AI space, there's just insane dispersion between the way people are buying stocks and valuing them and not stepping back and saying, 'All right, let me try to look at this ecosystem. What's sustainable? What's not? What's ephemeral? What's not? What's based on spot pricing, not long-term contract pricing? And should I be, you know, putting up the 45th data center in Abilene, Texas?'
Dan Nathan 21:40 ↗
All right. So, with that premise that none of those companies should be trading at a premium to Nvidia, which that's fair.
Jim Chanos 21:47 ↗
Yep.

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APA

Chanos, J. (2026, July 17). Jim Chanos: The AI Bubble Is “Much Worse” Than Dot-Com [Interview transcript]. RiskReversal Media. CEOInterviews.AI. https://ceointerviews.ai/interview/3030622/

MLA

Jim Chanos. "Jim Chanos: The AI Bubble Is “Much Worse” Than Dot-Com." RiskReversal Media, 17 Jul. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/3030622/.

BibTeX
@misc{chanos2026_3030622,
  author       = {Jim Chanos},
  title        = {Jim Chanos: The AI Bubble Is “Much Worse” Than Dot-Com},
  howpublished = {Interview transcript, RiskReversal Media. CEOInterviews.AI},
  year         = {2026},
  month        = {jul},
  url          = {https://ceointerviews.ai/interview/3030622/},
  note         = {Speaker-attributed transcript with timestamps}
}