Michael Burry expects the next phase of the stock market to resemble the months after the dot-com peak in 2000, when the biggest winners fell hard and the stocks investors had abandoned climbed.
In an Oct. 17 post on his "Cassandra Unchained" Substack, the investor best known for his bet against the housing market laid out a base case built on four decades of market breadth data.
The market, he wrote, will fail in a way that lifts the median broken stock.
Burry sees prices drifting lower rather than collapsing in one crash, with some violent stretches along the way, as fundamental news makes its way into the AI narrative.
The AI trade has been a recurring target on his Substack.
In an Oct. 7 post, Burry wrote that the tech giants, other than Apple Inc. (NASDAQ:AAPL), are spending as if their lives depended on it.
The heaviest AI spenders include Microsoft Corp. (NASDAQ:MSFT), Amazon.com Inc. (NASDAQ:AMZN), Alphabet Inc. (NASDAQ:GOOGL) (NASDAQ:GOOG) and Meta Platforms Inc. (NASDAQ:META). Burry has also published lengthy critiques of Palantir Technologies Inc. (NASDAQ:PLTR).
Burry studied every S&P 500 record close since 1985 that came just before a bear market or a near miss. He split each index into leaders and broken stocks, the latter being names already 20% or more below their 10-year highs when the index peaked.
Only one top produced a clean split. After March 24, 2000, the leaders lost 33% in a year and 50% in 18 months. Two-thirds of them sat more than 20% lower a year after the peak, a share that rose to 79% after 18 months.
The broken stocks went the other way. The median name gained 14% over the first year and held an 8% gain at 18 months. Strength among the laggards pulled the median index member up 5% a year after the top, even as the S&P 500 headed toward a roughly 50% decline over two and a half years.
Burry called the numbers "incredible and unique." No other top in his data saw leaders fall while broken stocks rose at both the 12- and 18-month marks.
The rest of the record followed different scripts. In 1987 and 2022, everything fell, with leaders doing slightly worse. In 1990, 2007, 2011, 2015 and 2018, broken stocks fell further over the following year as weakness spread outward from the weakest names.
The 2020 and 2025 sell-offs took both groups down together. Both were higher a year later.
Burry noted one partial echo. During the DeepSeek scare in early 2025, which hit AI leaders such as NVIDIA Corp. (NASDAQ:NVDA), broken stocks outperformed the leaders before April’s tariff shock dragged everything down.
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Burry’s case rests on breadth. When the S&P 500 closed at a record on Oct. 6, 55% of its members sat at least 20% below their 10-year highs. Among the tops he studied, only March 2000 ranked higher, at 71%. Ordinary tops ran between 20% and 31%.
Just 15 stocks closed at new highs with the index that day, and 97 were within 10% of one. In March 2000, the figures were 15 and 87.
He also flagged a structural difference. A constant mechanical bid from passive and systematic money has kept the deepest losers from piling up the way they did in 2000, he argued. Burry expects that bid to lose steam over the next two years.
Burry describes the bid as pushing more dollars toward fewer of the largest companies in market-cap-weighted indices.
A rotation like the one he expects would show up in the gap between the cap-weighted SPDR S&P 500 ETF Trust (NYSE:SPY) and the Invesco S&P 500 Equal Weight ETF (NYSE:RSP), which gives every member the same weight.
Burry cautioned the setup typically takes six to nine months to play out. Nobody knows where the clock stands, he wrote, and the market could be at the start, several months in or close to the end.
The bigger worry comes afterward. Burry questioned what could lift stocks again, given a federal government he sees as too stretched to support a private debt bubble when it bursts.
He describes the market as stuck in denial, the first stage of grief. "Denial is a hell of a drug," Burry wrote, "and I will be watching."
This image was generated using artificial intelligence via Midjourney.