Michael Burry Has Soured on Palantir and Is Betting on This Other Beaten-Down Artificial Intelligence (AI) Software Stock Instead

Michael Burry disclosed a fresh stake in Salesforce while openly criticizing Palantir, framing CRM as the better value and PLTR as more exposed to rich valuation risk. The piece argues that Salesforce has a more reasonable multiple and clearer near-term earnings path, while Palantir’s higher expectations leave it more vulnerable if AI growth disappoints. Overall, the article is commentary-driven and may influence sentiment in the two names, but it does not include new company fundamentals or earnings data.

Analysis

The key market signal is not a simple value call on one software name versus another; it’s a repricing of who captures AI monetization when buyers become more budget-constrained. If agentic tools keep compressing seat counts and workflow complexity, the first casualties are modular SaaS add-ons with weak switching costs, while platforms embedded in mission-critical systems can defend price even with slower net-new seat growth. That asymmetry favors vendors that can sell into existing contracts, not those depending on incremental usage enthusiasm.

The second-order effect is that AI adoption may reduce total software spend before it expands it. CIOs facing pressure will consolidate vendors, which hurts smaller workflow specialists and creates a near-term headwind for the broader enterprise software basket, even if long-run productivity improves. In that regime, the market tends to overpay for “AI upside optionality” and underwrite too little downside to renewal risk, especially in names where multiple expansion already embedded a perfect conversion curve.

The contrarian miss is that the higher-quality business may not be the cheaper stock in economic terms. The more bespoke platform can actually be more durable in a world of messy, unstructured enterprise data, because agents still need authoritative data layers, permissions, and auditability. Meanwhile, the “safer” platform can look optically cheaper but still face margin pressure from bundling, discounting, and longer sales-cycle friction if AI features are perceived as table stakes rather than differentiated products.

Near term, this is a positioning catalyst, not a fundamental inflection. Expect the fastest moves in the next 1-3 months to come from multiple compression/expansion around guidance, not from realized AI revenue. The real reversal signal would be evidence that AI copilots are increasing seat expansion and net retention rather than substituting for modules; absent that, the market likely continues rewarding cash-flow visibility over narrative intensity.

Key Decisions for Investors

• Long CRM / short PLTR pair trade over the next 1-3 months: expresses valuation discipline and budget-consolidation risk while limiting directional software beta; target 15-20% relative outperformance if multiple compression continues.
• Buy CRM call spreads 3-6 months out on post-earnings weakness: upside comes from visible cross-sell and margin resilience, while paid premium is capped if the software tape de-risks.
• Avoid initiating fresh long PLTR ahead of the next guide reset; if already long, trim into strength and re-enter only on evidence of accelerating commercial net retention rather than headline AI wins.
• Short equal-weight software basket vs. long infrastructure/compute beneficiaries for 2-4 months: if software spend consolidates, demand likely migrates to data, compute, and model-enablement layers first.
• For event-driven accounts, sell downside puts in CRM only if implied vol spikes > historical realized by a wide margin; the stock’s installed-base support should limit gap risk relative to higher-multiple peers.