Michael Burry's Big Short and the AI bubble: what is the same bet?
The essentials in 30 seconds
- Michael Burry’s AI case matches his Big Short in attitude and differs in instrument, proof, and cost of waiting.
- His fund’s filing listed AI puts with a notional value of $912 million on Palantir and $187 million on Nvidia (CNBC, November 2025).
- The mortgage trade targeted a debt instrument, and the AI case targets equities and accounting estimates.
- A 5-criterion table lets you compare any two bubble bets.
- Scion is the fund behind both stories.
Michael Burry’s Big Short earned him a reputation, and the AI bubble debate borrows it. Is the AI bet the same bet? As of October 2026 the answer is partly. This page compares the two on 5 criteria: the instrument, the weak link, the cost of waiting, the quality of proof, and the exit. It belongs to the page on Michael Burry and the AI bubble and gives you a method you can reuse.
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Is Michael Burry’s Big Short the same bet as his AI bubble view?
Two bets are the same when they share an instrument, a weak link, and a proof. They are related when they share only an attitude. Burry’s attitude is constant: a widely held asset is priced as if nothing can go wrong, and the numbers underneath tell a different story. That attitude explains why the press links the two stories.
The attitude alone does not make a trade. The Big Short had a defined instrument and a defined failure point. The AI case has a thesis about accounting and a set of option positions. Comparing them criterion by criterion shows where the 2008 record helps a reader and where it stops helping.
Which instrument did the Big Short use, and what does the AI bet use?
The 2008 trade targeted mortgage bonds, a debt product with a fixed payment schedule and a clear point where payments stop. A buyer of protection on those bonds gained when borrowers defaulted. The payoff was tied to an event that could be observed in loan data month by month.
The AI positions are put options on shares. A filing for 30 September 2025 listed puts with a notional value of about $187 million on Nvidia and $912 million on Palantir (CNBC, November 2025). Shares have no payment schedule, so no single default ends the story. The payoff depends on a market price at an expiry date.
What is the weak link in the Big Short, and what is it in the AI bubble?
In 2008 the weak link was borrower quality, visible in loan files for anyone who read them. In the AI case the weak link Burry names is hardware accounting: how long chips are assumed to last. He estimated about $176 billion of understated depreciation from 2026 through 2028, and CNBC could not confirm the practice independently.
The difference is verifiability. Loan files can be counted line by line. An assumption about chip life is a judgment, and reasonable accountants can differ. The AI weak link is therefore softer, which lowers the certainty that the mortgage record can lend to the AI case.
How does the cost of waiting differ between the Big Short and the AI bubble bet?
Every bet against a market pays a carrying cost while it waits. An option loses value each day, and it expires. A reader who holds a put needs the thesis to play out before the expiry date, not just eventually. A view can be right on substance and still lose money because the market stays high for longer than the option lasts.
That is why the filing’s missing details matter. Without strikes and expiry dates, the AI puts reveal a direction and a size, and nothing about the patience behind them. The cost of waiting stays unknown for the AI case, which keeps any comparison with a completed trade incomplete.
How strong is the proof behind the Big Short compared with the AI bubble case?
The Big Short was proven by outcome: borrowers defaulted and the bonds fell. The AI case has no outcome yet. It stands on filings, a post on X, and estimates, as of October 2026. Estimates can be good and still wrong, so the proof ranks below a completed trade and above a bare opinion.
A fair rule is to give each claim the weight of its proof. A fact from a filing counts fully. An estimate counts as a hypothesis with a calculation attached. A comparison with an earlier success counts as a reason to read carefully and nothing more. Applying this rule to the AI case gives a clear reading order: filings first, estimates second, analogies last.
What is genuinely the same between the Big Short and the AI bubble case?
Three features repeat. The asset is widely owned and widely praised. The reported numbers depend on assumptions that few readers check. And a small group acts on a doubt while the majority sees no reason to. These features describe many market episodes, which makes them a useful checklist and a weak forecast.
The technology itself is different from mortgage bonds in one respect that matters: AI products have real users and real revenue. A bubble can surround a genuine technology, as the guide on a boom versus a bubble explains, so the existence of demand does not close the question.
What should you conclude about the Big Short and the AI bubble comparison?
The honest conclusion is that the attitude matches and the structure differs. Use the Big Short as a prompt to read the numbers under a popular asset. Do not use it as evidence that the same outcome will follow. The comparison earns its place as a question, not as an answer. The next filing, the next annual report, and the next quarter of AI revenue will each add evidence that the 2008 story cannot provide.
To go further in the series on the AI bubble, apply the 5 criteria to any bubble claim you meet: instrument, weak link, cost of waiting, proof, and exit. If your own decision involves AI exposure in Singapore, ASEAN, or Hong Kong, the EQOS Asia pricing page lists the diagnostic formats that score it with a method you can recompute. This page is general information, not investment advice.
See also in this guide
Frequently asked questions
Is Michael Burry’s AI bet the same as the Big Short?
It shares an attitude and differs in structure. The Big Short targeted mortgage bonds with a visible weak link. The AI case targets equities through put options and rests on a depreciation estimate. The earlier success does not transfer to the new case on its own.
What is Michael Burry betting against in AI?
A filing for 30 September 2025 listed put options with a notional value of about $912 million on Palantir and $187 million on Nvidia. The filing did not state strike prices or expiry dates, so the full shape of the bet is not public.
Why does the cost of waiting matter in a bubble bet?
A put option loses value daily and expires on a set date. A view can be right on substance and still lose money if the market stays high past that date. Patience therefore matters as much as the thesis.
What can a reader learn from the Big Short comparison?
A reader learns a method: check the instrument, the weak link, the cost of waiting, the proof, and the exit. The method applies to any bubble claim, and it works without a view on timing.
Test your knowledge
1. What did the 2008 Big Short target?
- Mortgage bonds
- Cloud contracts
- Gold futures
Show the answer
Mortgage bonds.
2. Which weak link does Burry name in the AI case?
- Borrower quality
- Hardware accounting and chip life
- Currency swings
Show the answer
Hardware accounting and chip life.
3. What does a put option do over time?
- Gains value daily
- Stays fixed forever
- Loses value and expires
Show the answer
Loses value and expires.
4. How many criteria does this page use to compare two bets?
- 3
- 5
- 9
Show the answer
5.
5. Which proof ranks highest?
- A completed trade with a known outcome
- A hypothesis
- A popular opinion
Show the answer
A completed trade with a known outcome.
About the author
Stéphane Jambu
President, EQOS Forecast Asia
Stéphane Jambu leads EQOS Forecast Asia and works as a consultant in e-commerce, search visibility, and AI. LinkedIn profile
Sources: EQOS Asia pages (eqos-asia.com/ai-bubble/ and eqos-asia.com/pricing.html), CNBC report on Michael Burry as syndicated at https://www.albanyadvertiser.com.au/business/cnbc/big-short-investor-michael-burry-accuses-ai-hyperscalers-of-artificially-boosting-earnings-c-20655611, consulted on 22 October 2026. Page updated on 22 October 2026.