Big Short's Michael Burry Bets the AI Bubble Will Burst

Michael Burry is betting against AI darlings, buying puts on Nvidia and Palantir. Pros should reassess concentration and hedges as a wobble could ripple through equity and credit.

Categorized in: AI News Finance Insurance
Published on: Nov 05, 2025
Big Short's Michael Burry Bets the AI Bubble Will Burst

Michael Burry Targets AI High-Flyers. Here's What Finance Pros Should Watch

Michael Burry, the investor portrayed by Christian Bale in The Big Short, is positioning for a pullback in the AI trade. Through Scion Asset Management, he bought contracts that give him the right to sell shares of Nvidia and Palantir at set prices within a window. In plain terms: put options designed to gain if prices fall.

The specifics-strike prices and expirations-aren't public. But the signal is clear: he views parts of the AI rally as overheated.

The setup

Nvidia briefly became the first company to touch a $5 trillion valuation, while Palantir's stock is up roughly 400% year over year. Both names sit at the center of AI enthusiasm-chips and software that investors believe will drive the next leg of growth. Burry is taking the other side, at least tactically.

Whether you agree or not, the move forces a question: how much AI risk is embedded in your book, directly or through index concentration and correlated credit exposures?

Why this matters for finance and insurance

  • Concentration risk: A small set of AI leaders now drives a large share of equity index returns. A wobble there can spill into general risk assets.
  • ALM pressure: Sharp equity drawdowns can stress statutory capital and hedging programs tied to VA guarantees and indexed products.
  • Credit linkage: Suppliers, data-center builders, power infrastructure, and software vendors are all tethered to AI spend assumptions.

What could cool the AI trade

  • Hyperscaler capex resets or slower ROI on AI deployments.
  • Margin squeeze from supply costs, competitive pricing, or customer delays.
  • Inventory build and longer sales cycles for GPUs and related hardware.
  • Policy and export frictions that limit shipments or expand compliance costs.
  • Rising rates or tightening liquidity that reprice long-duration growth stories.

Practical moves to consider

  • Run scenario tests: 15-30% drawdown in AI leaders and a correlated beta selloff. Map impacts across equities, credit, and guarantees.
  • Trim concentration: Rebalance outsized winners; set guardrails for single-name and theme exposure.
  • Hedge smartly: Use index or sector puts, collars on heavy positions, or pair trades to dampen downside without fully exiting.
  • Watch credit channels: Review counterparty and sector exposures linked to data centers, power, and chip supply chains.
  • Tighten governance: Predefine triggers for de-risking so decisions aren't made under stress.

Key data to track next

  • Hyperscaler guidance on AI capex and monetization timelines.
  • GPU lead times, secondary-market pricing, and order pushouts.
  • Backlog vs. recognized revenue, and any change in cancellation rates.
  • Gross margin trends and commentary on pricing competition.
  • For Palantir: commercial vs. government growth mix, RPO, and cash conversion.

How to think about timing

Even good shorts bleed if they're early. Protection has a cost, and crowded shorts can snap back. If you hedge, size for time and volatility-not just direction.

For long-only mandates, the goal isn't to call the top. It's to keep drawdowns within your risk budget while letting upside participation continue if fundamentals hold.

Bottom line

Burry's bet doesn't prove an AI bust is imminent. It's a reminder to pressure-test assumptions after a historic run in a handful of names. If positioning is tight and expectations soften, the air can come out fast.

Reference points: Nvidia's valuation milestone has been widely reported (Reuters). You can also review live pricing for Palantir and Nvidia on market data portals like Yahoo Finance.

Evaluating practical AI use in finance beyond stock stories? See a curated list of tools for front, middle, and back office workflows here: AI tools for finance.


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