'Big Short' investor Michael Burry says Anthropic is 'eating Palantir's lunch' as enterprise AI spending shifts

Anthropic's enterprise traction is highlighted as ARR jumped from $9B to $30B in months per Ramp/Ara Kharazian analysis, with Anthropic taking ~73% of new enterprise AI spending and nearly 1 in 4 Ramp businesses now paying for Claude (vs 1 in 25 a year ago). Michael Burry says Anthropic is "eating Palantir's lunch," noting Palantir took ~20 years to reach ~$5B while Burry holds a short in PLTR; short-seller Andrew Left has also recently shorted Palantir. The piece signals a shift in enterprise adoption toward plug-and-play AI (positive for Anthropic/peers like Databricks) and negative investor sentiment toward Palantir.

Analysis

The market dynamic now favors API-first, low-friction model suppliers because procurement friction is the primary limiter of C-suite AI budget allocation — reducing integration time from quarters to weeks materially shortens payback on customer acquisition and multiplies ARR growth without proportional sales headcount. That structural advantage cascades: higher gross retention and lower CAC for a leading plug-and-play vendor translates into far faster revenue scaling than legacy incumbent bundles that depend on bespoke services, making valuation multiples a function of go-to-market efficiency rather than pure model quality.

Second-order winners include cloud infra and inference-capacity providers (where incremental enterprise API spend lands) and vendors selling endpoint security, data governance, and vector search; losers include system integrators and bespoke integration revenue streams that get compressed as standard connectors and SDKs proliferate. This also creates concentrated counterparty risk: platform outages, pricing power shifts, or a single-signature vendor commitment from large enterprises would transmit revenue swings across many suppliers and MSPs.

Key catalysts and reversals are primarily operational: meaningful price increases, model regressions, or enterprise procurement reversals (renewal/ARPU step-downs) can unwind adoption narratives in 3–9 months, while regulatory or national-security reviews could extend impact to multi-year horizons. Near-term volatility will be amplified by activist/short positioning in public analogues; absent a product-level failure, the adoption trend still looks like a multi-quarter story rather than a binary overnight shift.

Key Decisions for Investors

• Short PLTR via put spreads (3–12 month expiries): buy a 3–9 month put and sell a lower strike to finance premium. Position size: 1–3% net portfolio risk; target 30–50% downside in 6–12 months, max loss = premium paid.
• Pair trade — short PLTR / long MSFT or NVDA (6–24 months): overweight cloud/inference exposure vs government-centric analytics. Risk/reward: asymmetric; cap potential drawdown on the long leg with covered calls if NVDA/MSFT run >25% in 3 months.
• Long RAMP (ticker: RAMP) or buy 6–12 month call spreads: thematic bet on a data/telemetry provider monetizing AI adoption signals. Target 2–3x upside if enterprise telemetry becomes a standard procurement signal; cap losses to option premium.
• Directional infra play — long NVDA (options) or buy 6–12 month call spreads on major cloud names (MSFT/AMZN/GOOG): captures lift from rising inference API spend. Hedge with a small short put leg to improve cost basis but monitor earnings-driven gamma risk closely.