‘The Big Short’ fame investor Michael Burry remains bearish on AI, has put options against this major US tech stock

Michael Burry disclosed in his paid newsletter that he owns put options on Oracle, and said he has directly shorted the stock over the past six months, citing disagreement with the company’s positioning and investments. The move is part of a broader bearish stance on the AI-led rally — Burry has previously shorted Nvidia and Palantir — and comes as Oracle, which surged 36% in one session in September on a bullish cloud/AI forecast, finished the year roughly 40% below that peak amid rising capex and an approximately $95 billion debt load tied to data-center expansion. Burry did not disclose option specifics and noted he avoids shorting diversified tech giants (Alphabet, Meta, Microsoft) because their businesses are not pure AI plays.

Analysis

Market structure: Burry’s public short on ORCL and prior targeting of NVDA/PLTR crystallizes a rotation risk away from pure-play AI plays toward diversified tech winners (GOOGL, GOOG, META, MSFT). Direct losers: Oracle (equity and IG-rated debt given ~$95bn outstanding) and narrowly concentrated AI suppliers whose valuations embed continued hyper-growth; direct beneficiaries: large cloud/SaaS incumbents able to absorb AI capex and monetize across ads/search/office SaaS. Pricing power will bifurcate — capital-intensive cloud builders face margin pressure while software/platform monopolies consolidate pricing power.

Risk assessment: Key tail risks include a continued AI demand surge that re-rates ORCL/NVDA higher (high-impact), an Oracle credit rating downgrade that widens spreads >150–200bps (mid-to-high probability if capex overruns persist), or regulatory intervention on AI/data contracts. Immediate (days) risk is volatility and option skew; short-term (weeks–months) hinge on quarterly cloud guidance and rating agency commentary; long-term (≥12 months) depends on durable cloud market share shifts and amortization/write-downs of overbuilt capacity. Hidden dependencies: ORCL’s bond covenants, capital allocation choices (share buybacks vs capex), and large AI contract counterparties.

Trade implications: Anticipate higher implied vol and put skew on ORCL and NVDA; credit-protection demand could push IG spreads wider and offer CDS entry points. Use defined-risk option structures to express directional/vol views and pair trades to isolate AI vs enterprise-software exposure. Cross-asset flow: expect short-term safe-haven into Treasuries if tech deleveraging accelerates and dollar strength if risk-off deepens.

Contrarian angles: Consensus underestimates balance-sheet risk for capex-heavy cloud builds — ORCL’s equity drop but persistent large debt stock suggests credit is a more direct lever than equity alone. The market may overprice permanency of current AI multiples (2000-like multiple compression risk) but underprice concentration risk in NVDA; crowded short positioning could create sharp squeezes, so scale into positions with clear stop-loss thresholds.

Key Decisions for Investors

• Establish a defined-risk short in ORCL via 4–6 month put debit spreads sized to 1–2% portfolio notional (buy 1x 10–20% OTM put, sell 1x 25–35% OTM) to express downside from capex/debt; trim or take profit if ORCL rallies >25% from today within 30 days or if cloud revenue guidance beats by >5% y/y.
• Purchase 2–3 year CDS protection on ORCL sized 0.5–1.0% of portfolio notional (or long senior ORCL bond puts) to hedge credit tail risk; add incrementally if IG spreads widen >50bps or a rating agency places ORCL on negative watch.
• Implement a pair trade: long GOOGL (or META) vs short ORCL net exposure of ~1% portfolio to capture divergence — rebalance at each earnings release and close if relative spread compresses by 75% or if ORCL is downgraded (then re-evaluate).
• Buy NVDA 3-month 7–12% OTM put spread sized 0.5–1.0% portfolio to hedge concentrated AI downside/volatility; consider rolling to 9–12 month LEAP puts if implied volatility falls below realized vol and conviction strengthens after two consecutive negative guidance beats for AI demand.