Michael Burry said the market feels like the last months of the 1999-2000 bubble, and he tied that call to the rush into AI. For investors in AI-related stocks, the warning is blunt: valuation can outrun earnings for a while, but the gap can close fast once the market stops rewarding the same story.
Michael Burry and the bubble echo
Burry wrote in an earlier Substack post that he had lived this before suddenly dawned on him. He said the NASDAQ 100 had a complete reversal and that the market has jumped the shark, then added, “Feeling like the last months of the 1999-2000 bubble.”
He also said, “Absolutely non-stop AI. Nobody is talking about anything else all day,” and followed that with, “Stocks are not up or down because of jobs or consumer sentiment. They are going straight up because they have been going straight up. On a two letter thesis that everyone thinks they understand.”
Recent Substack posts show the trade behind the warning. Burry said the rush into Artificial Intelligence has caused investors to overlook established companies with strong fundamentals, and he said he was “patiently acquiring” companies the market had moved away from.
2026 moves against AI
Throughout 2026, Burry has kept making moves that suggest concern about parts of the market, particularly AI-related stocks. That puts his latest comments in a longer sequence, not a one-off warning from someone watching from the sidelines.
2008 still hangs over his calls because he accurately predicted the U.S. housing crash, and The Big Short later turned that prediction into a wider public reference point. He has also conceded that he has incorrectly forecasted market crashes in the past, which is the hard part for readers trying to separate a sharp warning from a tradable signal.
What investors in AI face
Three months after March 2021, Burry warned of a massive bubble and a looming market crash after comparing bitcoin to the housing market. That history matters now because his newest warning is aimed at the same problem: a market that can keep climbing while attention narrows to one theme.
For investors in AI, the practical takeaway is to test whether a stock is being priced for hype or for cash flow. If the bid keeps favoring the same narrow trade, Burry’s message says the risk is not the sector itself, but the assumption that every leader can keep outrunning fundamentals forever.
