
Software stocks are under heavy pressure mid-2026: Intuit is down ~60% YTD (to a ~$75B market cap, ~17x trailing earnings), Adobe is down ~37% (and ~13x earnings), and Workday is down ~37% but trades at >40x P/E. The article argues the sell-offs may overreact to AI disruption fears, citing Intuit’s ~10% revenue growth in the April 30 quarter and raised full-year guidance, and Adobe revenue rising ~13% in its May quarter with AI embedded in products. However, it cautions that near-term turnarounds/catalysts may be limited, especially given valuation and trust concerns around AI handling of sensitive data.
This is less a fundamentals breakdown than a discount-rate event: the market is repricing perceived replacement risk before there is hard evidence of revenue damage. The immediate winner is not a specific software name but the AI stack underneath it — compute, model access, and platform vendors — because budget that would have supported incremental seat growth can migrate to infrastructure and bundled copilots. The losers are the most expensive workflow franchises where investors can plausibly imagine feature-level substitution and where a richer multiple leaves no room for a single missed KPI. INTU has the best defensive setup because its product value is tied to trust, accuracy, and filing-risk tolerance; AI can improve conversion and retention, but it is harder to commoditize a regulated workflow than a creative one. ADBE is more vulnerable on the margin: AI lowers the cost of basic content creation, so the market is really debating whether Adobe can keep monetizing professional-grade control, asset management, and enterprise distribution rather than raw image generation. WDAY is the weakest risk/reward because the market is paying a growth multiple for a business that could see AI features bundled into broader ERP/HCM suites, compressing pricing power before it shows up in headline churn. Contrarianly, the selloff likely overstates near-term displacement and understates the value of embedded data, permissions, and auditability; AI often amplifies usage in systems of record instead of replacing them. The key falsifiers over the next 1-3 months are any guidance cuts, accelerating churn, or a meaningful deceleration in remaining performance obligations / billings; over 6-18 months, the thesis breaks if AI-native tools start taking share in enterprise workflows without an offset from higher ARPU. Until then, this looks like a multiple reset with the clearest asymmetry in the most hated name, not a clean secular short across software.
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