7 software stocks to buy as the sector shows signs of life

IGV (iShares Expanded Tech-Software ETF) is up 14% off February lows, signaling a technical rebound in software stocks, though the ETF remains down 19% YTD while the S&P 500 is off about 1%. DataTrek calls the comeback “surprising,” and a D.A. Davidson analyst recommends focusing on software names with compelling growth rates amid lingering AI-disruption concerns. Treat this as a cautious, momentum-driven opportunity rather than a clear fundamental recovery.

Analysis

Winners will be companies that control the data stack and can monetize inference and storage as distinct, recurring revenue streams; that structural leverage means a dollar of incremental cloud storage/compute spend flows disproportionately to data-platform vendors and hyperscalers, not to point-solution incumbents. Expect systems integrators and reseller partners to see a near-term boost in bookings as customers outsource AI projects, but margin dilution across the ecosystem as implementation-heavy deals push slower SaaS gross margins.

The main risks are threefold and operate on different horizons: in the next 1–3 months, a soft earnings season or weaker-than-expected guidance could snap momentum as multiple expansion halts; over 3–12 months, aggressive pricing pressure from AI-platform bundles (hyperscalers packaging models + managed services) could compress software ASPs; over 12–36 months, winner-take-most dynamics will concentrate economics in a handful of data and AI platforms, forcing consolidation. A reversal catalyst would be either clear ARPA uplift from AI features (supporting re-rating) or concrete evidence of AI cannibalization in contract KPIs (blended churn, net retention).

The market appears to be short on nuance: a bounce in software is not uniform validation of the sector — it is a momentum trade that benefits businesses with measurable, defensible control over customer data and pricing power. Tactical opportunities favor long exposure to data-platform/AI-levered names and hedged or short exposure to high-multiple incumbents with execution risk; option structures can buy convexity for positive AI adoption signals while capping downside if macro/guide risk reappears within the next 3–6 months.

Key Decisions for Investors

• Long Adobe (ADBE) via a 9–12 month call spread: buy 1% portfolio notional in Dec-2026 10% OTM calls and sell 1x the 40% OTM calls to finance. Rationale: durable pricing power around creative/marketing workflows plus fast AI feature monetization; target +30% upside, max premium loss ~100% of allocation, stop-loss if implied vol rises >30% vs current or if next two quarters' digital-media bookings miss consensus by >5%.
• Pair trade — long Snowflake (SNOW) / short Salesforce (CRM), 6–12 month horizon, equal notional 1–1. Position sizing: 1–2% net delta-long in pair. Rationale: SNOW captures raw data flywheel for AI models; CRM faces execution and margin risk integrating large AI investments. Target a 2:1 reward-to-risk (target pair +40% relative, stop at -20% relative).
• Short Splunk (SPLK) shares or buy 3–6 month OTM puts (size 0.5–1% portfolio): thesis is continued margin pressure and slower cloud migration cadence than priced in. Target -25% downside within 3–6 months; cut position if ARR retention >95% and free cash flow margin expands sequentially.
• Tactical sector hedge: buy IGV (software ETF) on pullback alongside a 3–6 month protective put or buy a collar to retain upside while capping drawdown. Use this when software breadth narrows (top 5 names >40% of IGV) or if macro volatility (rates) rises; allocation 1–2% to manage idiosyncratic earnings risk while keeping convex exposure to positive AI adoption data.