"The Big Short's" Michael Burry Just Threw Cold Water on SaaS Armageddon. 3 Software Stocks He's Buying

Michael Burry said he initiated a 3.5% portfolio position in PayPal and plans to initiate positions in Salesforce and MSCI, arguing AI fears around SaaS are overblown. He highlighted cheap valuations for PayPal at 9.6x forward earnings, Salesforce at 14x, and MSCI at 31x versus a 5-year average of 46x, despite softer outlooks and AI-related concerns. The article is broadly constructive on software stocks but is more a sentiment/stock-picking piece than a major market catalyst.

Analysis

The trade here is less about AI killing software and more about duration re-rating in cash-generative, under-owned franchises. Burry is effectively signaling that the market has over-extended the “AI commoditizes software” narrative into a uniform multiple compression event, but the dispersion matters: horizontally integrated platforms with embedded workflows and data gravity should outperform point solutions, while vendors reliant on new logo growth and sales efficiency remain vulnerable. In that setup, the biggest second-order beneficiary is not just the named software names, but the broader ecosystem of balance-sheet lenders and private credit funds that have been forced to reprice software debt as equity multiples compressed.

PYPL and CRM screen as the cleanest mean reversion candidates because both have enough scale to absorb AI-driven feature creep rather than be disrupted by it. The important catalyst is not product innovation in isolation, but whether management can turn AI into lower churn, higher attach, and better operating leverage over the next 2-4 quarters; if that shows up in guidance, the market can rerate these names quickly because positioning is still cautious. A key risk is that the market continues to treat every incremental AI announcement as defensive rather than accretive, which would keep multiple expansion capped even if fundamentals stabilize.

MSCI is the most interesting contrarian piece: the stock did not fully de-rate, which means the consensus may already accept that data/analytics franchises are less vulnerable than generic SaaS. That creates a different setup — less valuation torque, more earnings durability — and makes it a potential relative outperformance leg against higher-beta software if rates stay sticky and investors keep paying for recurring revenue quality. The main downside is not AI imitation, but a slowdown in asset-allocator spending or index/ETF fee pressure; that would hit the stock over months, not days, so the near-term tape could remain constructive even if growth investors rotate elsewhere.

Key Decisions for Investors

• Go long PYPL vs AAPL on a 3-6 month horizon: PYPL is a cleaner valuation reset with operating leverage potential, while AAPL remains a competitive pressure point via wallet share and checkout penetration; target a 15-20% relative spread if PYPL proves stable on margins.
• Initiate a staged long CRM position over the next 2-4 weeks, with tighter risk controls into the next guidance cycle; the payoff is multiple expansion if Agentforce monetization offsets AI-disruption fears, but trim if billings/conversion stalls.
• Add MSCI as a defensive software-quality long for 6-12 months; prefer this over lower-quality SaaS because the market is likely underestimating pricing power in data/index workflows, even at 31x forward earnings.
• For hedging, consider a short basket of high-duration, non-scaled SaaS names against long PYPL/CRM; the goal is to isolate the market’s AI-disruption fear premium while retaining exposure to platform winners.
• If PYPL breaks to new lows on no incremental fundamental deterioration, sell puts or sell short-dated downside premium rather than buy outright; the setup favors volatility harvesting if the company continues to de-rate more slowly than fear implies.