US software stocks slide as IBM, ServiceNow results reignite AI disruption fears

U.S. software stocks fell in premarket trading after IBM and ServiceNow renewed concerns about AI-driven disruption in the sector. IBM’s software growth slowed to 11.3%, and its shares dropped 7.4%, while ServiceNow flagged a hit to first-quarter subscription revenue from delayed Middle East deals tied to the Iran conflict. Microsoft, Adobe, CrowdStrike, Intuit and Datadog were also weaker, while Texas Instruments jumped 11.7% on a stronger-than-expected second-quarter outlook.

Analysis

This is less about a single earnings miss and more about a regime shift in software multiples: the market is repricing distribution durability, not just near-term bookings. The immediate beneficiaries are not the obvious AI software leaders, but the infrastructure and tools that get cheaper relative to software as investors rotate toward semiconductor leverage and away from application-layer margin risk. That makes the analog complex interesting: if AI capex stays intact while software valuation compression persists, the market is effectively paying twice for AI—once via chips, once via lower software exposure.

The second-order risk is that enterprise software budgets may not collapse, but they become more procyclical and harder to forecast, which is worse for high-multiple names than for mature incumbents. Names with usage-based or seat-expansion models are vulnerable to even modest elongation in procurement cycles; a 1-2 point slowdown in net retention can drive outsized multiple compression over the next 1-2 quarters. Conversely, mission-critical vendors with embedded workflows can weather this if they can show AI lifts productivity inside their own product stack rather than merely defending against external AI tools.

The biggest contrarian point is that this selloff may be front-running a disruption that takes years, not quarters. The market is treating AI agents like an immediate substitute for software, but in practice the near-term effect is more likely pricing pressure, bundle cannibalization, and slower renewals rather than wholesale churn. That means the cleaner trade is relative value: short the most exposed growth software and own the hardware enablers that benefit from persistent AI spend without the same valuation compression risk.

Key Decisions for Investors

• Short a basket of high-multiple software names (NOW/ADBE/DDOG/INTU) into the next 1-2 earnings cycles; use a 3-5% portfolio risk budget and cover if management teams quantify AI as net-new demand rather than only efficiency pressure.
• Pair trade: long TXN, short ADBE or NOW for 4-8 weeks. TXN offers cleaner cash-flow leverage to ongoing AI/industrial rebuild demand, while software names face multiple de-rating if forward guidance slips by even low-single digits.
• Go long ON/MCHP/NXPI/ADI versus MSFT/CRWD on a 1-3 month horizon to express the market’s current preference for semiconductor exposure over software; stop out if software recovers on evidence of stable renewal cohorts.
• Buy downside protection on the software ETF or individual names via 1-2 month puts after any relief bounce. The risk/reward is attractive because implied volatility should remain elevated while the market tests whether the slowdown is isolated or broadening.
• Contrarian long: accumulate quality enterprise incumbents on a 6-12 month horizon only if they prove AI monetization inside existing workflows. The setup favors patient capital, but only after the market has finished de-rating names that cannot show measurable AI-driven attach rates.