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'Big Short' investor Michael Burry says Anthropic's IPO filing shows the AI industry is 'catastrophically vulnerable'

Michael Burry of "The Big Short" fame.
Michael Burry, the investor of "The Big Short" fame.

Bloomberg/Getty Images

  • "The Big Short" investor Michael Burry says Anthropic's IPO filing has fueled his worries about AI.
  • Burry said a dense web of AI deals has made the industry "catastrophically vulnerable."
  • Writing on Substack, Burry described AI financing arrangements as "garish and audacious."

Michael Burry says Anthropic's IPO filing this week has reinforced his concerns that the entire AI ecosystem is at risk of disaster.

The investor of "The Big Short" fame wrote in a Substack post on Tuesday that the first in-depth look at Claude's parent company, ahead of what could be the biggest IPO in history, threw up a bunch of red flags.

Burry pointed to Anthropic's huge spending commitments, slowing revenue, and tangled ties.

He said that Anthropic has struck deals to buy about $537 billion of compute from the likes of Amazon, Alphabet, and Microsoft, and reached preliminary agreements worth hundreds of billions more with others such as SpaceXAI, putting its total commitments at about 12 times its current annual run-rate revenue.

"This is not stated clearly in the S-1, and in my view it is the most deserved headline from it," Burry wrote in a Tuesday Substack post.

He underscored how hyperscalers like Amazon and Alphabet act as Anthropic's "lenders, vendors, channel providers, and shareholders." He also outlined its deal with Broadcom, which involves Apollo and Blackstone and includes convertible notes and structured credit tranches.

"Just remember, the reason this is so complex is because too much debt is needed, and it must be unloaded from the balance sheets of those involved," Burry wrote.

"While some may see all the circularity and connectedness as security on the way up, and that is not wrong, it does leave the entire organism catastrophically vulnerable either on a pause or on the way down," he added.

He also described financing arrangements in the AI space as "garish and audacious," and said hyperscalers aren't generating enough cash to fund the AI buildout so they're resorting to "Byzantine" deals.

Burry said it was a "very similar" situation with vendor financing during the dot-com bubble, saying "people keep making the same mistakes with every new thing."

Burry's worries

In its filing, Anthropic said its revenue surpassed $16 billion for the first six months of this year, a 14-fold increase from the first half of 2025. Its operating loss narrowed by about two-thirds to below $700 million, and it generated nearly $4 billion in operating cash flow.

Burry initially commented on Anthropic's filing in a Substack chat thread on Monday.

He said that revenue was "slowing," citing Anthropic's claim that third-quarter revenue was 86 times the $197 million it generated in the fourth quarter of 2024, or about $16.9 billion.

That would mean Anthropic's revenue grew by about 46% between the second and third quarters of this year, after soaring 144% between the first and second quarters.

"Overall slowing of growth is not attributed to a decline in tokenmaxxing, but I did not expect that to be mentioned," Burry wrote.

A Substack comment by Michael Burry on Anthropic.
Michael Burry raised concerns about Anthropic's growth in a Substack comment.

Substack/Cassandra Unchained

Burry was referring to the trend of maximizing AI token consumption, which has fallen out of favor in recent months given its costs.

In another comment, Burry wrote that large language models (LLMs) like Claude are "improving" and "already being used more efficiently and that trend will continue, to the detriment of their growth rate."

Burry said he's focused on the complexity and fragility of the debt financing many AI deals, hurdles to installing new graphics chips shoring up demand for older chips, a potential crash in memory chip prices once the shortage eases, compression and small language models (SLMs) reducing the need for computing power, and the "fundamentals behind not just companies but the deals they are doing."

Michael Burry laid out his chief concerns about LLMs.
Michael Burry laid out his chief concerns about LLMs.

Substack/Cassandra Unchained

Responding to a subscriber who said that Big Tech companies are shifting from Anthropic's AI models to their own, and that tokens are rapidly being commoditized, Burry wrote: "Yes, that is what I hear."

Anthropic did not immediately respond to a request for comment on Burry's posts.

The contrarian investor shot to fame after his massive wager against the mid-2000s housing bubble was chronicled in the book and movie "The Big Short." He pivoted from running a hedge fund to writing about his personal investments on Substack last winter.

A recurring theme of his work since then has been deep skepticism of the AI boom. He's flagged slowing growth, overinvestment in microchips and data centers, aggressive accounting, hidden liabilities, and circular financing deals.

Read the original article on Business Insider

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A veteran tech investor says 'doom and gloom' over the AI boom is overblown, even though it has shades of the dot-com bubble

Paul Wick
Paul Wick is the CIO of Seligman Investments.

12/08

  • There are clear parallels between the AI boom and the dot-com bubble, tech investor Paul Wick says.
  • But solid demand, strong earnings, and less mania make for a "healthier" backdrop, Wick said.
  • Seligman's chief investor brushed off Michael Burry's worries but flagged some trends to watch.

The AI boom has shades of the dot-com bubble, but fears of an imminent crash and mass unemployment are overblown, a veteran tech investor says.

At the turn of this century, there was an explosion in dot-com startups being formed, and a huge infrastructure buildout with telecoms "aggressively" spending on wired and wireless networks, Paul Wick told Business Insider in an interview this week.

The chief investor of Seligman Investments — a group within Columbia Threadneedle Investments that manages over $40 billion of assets and comprises a hedge fund, a mutual fund, and a venture capital arm — said there were clear parallels between that period and the current boom in AI startups and data-center spending. He also noted that energy prices and interest rates jumped then as they've done this year.

But Wick noted there isn't the same IPO frenzy now, or the same "frenetic environment" where stocks soar fivefold or tenfold in a day. He also said that by late 2000, a slowdown in IT spending was being forecasted for 2001, whereas enterprise spending on AI remains strong and recent tech earnings have been robust.

Simply put, the situation seems "healthier" now than in 2000, he said.

Business Insider asked Wick about Michael Burry's warnings this year around AI. "The Big Short" investor has called out aggressive accounting, circular financing, hidden debt, and overinvestment in depreciating assets like microchips as reasons to be skeptical that the boom has legs.

Wick said that Burry, known for predicting and profiting from the collapse of the mid-2000s housing bubble, has been "early or downright wrong on many other things."

Burry has previously defended his track record, citing his correct predictions and sharing charts showing the timing of his market calls.

As for concerns about Nvidia's efforts to grow the AI ecosystem by investing in data center developers and software companies, Wick emphasized that the chipmaker is "extraordinarily profitable."

He cast doubt on whether Nvidia should spend its spare cash only on buybacks, rather than bolstering its customers, especially as several of the industry's biggest players are working to develop their own AI chips to reduce their reliance on Nvidia.

But he also flagged some industry trends to watch, including enterprise clients opting to use older models or build their own, and token pricing coming under pressure as users embrace open-source models, raising questions over the size of the market opportunity for the likes of OpenAI and Anthropic.

Navigating a new world

Wick weighed in on how a young person can get ahead in the AI era.

"It used to be that a degree in computer science was a ticket to success," he said.

A better option today might be to learn a trade, as there's "booming demand" for workers such as electricians and HVAC technicians, and they can make an "incredibly good living" without having to go to a four-year college, Wick said.

He also took aim at the "doom-and-gloom notion that AI is going to eviscerate demand" for human labor. He described that worry as a "little premature" as nobody knows for sure how AI will affect entry-level roles in the future, unemployment is yet to soar, and there's always inertia when it comes to businesses and consumers changing their behavior.

Read the original article on Business Insider
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