Michael Burry Complains Trump "Could Never Understand or Read Any of My Articles in a Million Years"
Michael Burry complained that Trump "could never understand or read any of my articles in a million years," but admitted that he "acts on instinct, making money for himself and his confidants better than anyone else."
After rising to fame with "The Big Short" in 2008, Burry has long played the role of a "doomsday prophet," frequently warning of crashes in U.S. stocks, Tesla, and Bitcoin, most of which did not materialize, leading to a continuous reduction in the scale of funds managed.
In 2023, he heavily bought put options on the S&P 500 and Nasdaq 100 but closed positions in defeat amid the AI wave.
Source: Public Information
ABAB AI Insight
Michael Burry is known for accurately shorting subprime mortgages in 2008, and since then, his investment style has solidified into that of a systemic risk forecaster, often positioning for bearish outcomes before peaks in U.S. stocks. However, the AI-driven bull market has harmed his 2023 options positions; his comments on Trump reflect a contrast between "instinctive" decision-making and quantitative analysis.
In terms of capital flow, Burry's management of Scion assets has shrunk from its peak, with funds shifting towards defensive positions and cyclical bets, motivated by a commitment to a macro tail risk framework. Yet, the reality of structural bull markets driven by AI has led to multiple stop-losses; Trump's argument for "instinctual profit-making" resonates with his recognition of the execution power of policymakers.
Similar to "permanent bears" like John Hussman, who have long warned but missed the bull market, and Ray Dalio's adaptive adjustments to cycles; currently, U.S. stocks are in a phase of valuation expansion driven by AI, and macro forecasters like Burry face the classic dilemma of being "too early right is wrong."
Essentially, this reflects capital concentration: quantitative risk models are under continuous pressure in structural bull markets, as the mechanisms of AI and other technological paradigms alter traditional cyclical logic, forcing defensive investors to either adapt to trends or face ongoing capital outflows, concentrating towards more flexible or execution-driven "instinctual" decision-makers.
ABAB News · Laws of Cognition
- Being right too early is as costly as being wrong.
- Instinctual execution surpasses perfect models.
- Forecasters are loneliest during paradigm shifts.