Wall Street Left Software for Dead: 4 Stocks Institutions Are Buying Back

Software ETFs fell roughly 25%–27% in the first quarter as traders priced in the risk that AI could make subscription software obsolete. The article identifies AI disruption concerns as the driver of the sector's sharp decline.

Analysis

Software: distinguish multiple reset from business-model impairment

The selloff creates a reflexive risk: outflows and lower risk budgets can pressure software multiples before reported results establish whether AI is actually displacing paid workflows. That can produce further downside even where demand is intact. But the sector-level “subscription software is obsolete” thesis is too coarse: AI could weaken per-seat pricing while increasing usage, making the outcome depend on whether vendors can capture value through consumption pricing, proprietary data, and embedded workflows. It may also raise inference and product-development costs, so adoption alone is not proof of improved economics.

Over the next 1–3 months, the key discriminator is guidance and renewal evidence—not AI announcements. Watch net retention, seat counts, pricing/model changes, and cloud or compute costs where disclosed. Over 6–18 months, durable systems of record and workflow distribution may fare better than replaceable interfaces, but the supplied information does not identify holdings or companies well enough to underwrite that split. XSW and IGV are broad proxies, not clean expressions of either side.

Contrarian read: the drawdown may have priced in disruption ahead of evidence, but it is not by itself a valuation signal. Avoid treating a technical bounce as confirmation. A sustained stabilization in earnings revisions and renewal metrics would support a selective recovery; continued downward guidance revisions would falsify the oversold thesis and imply more multiple risk.

Key Decisions for Investors

• Do not add broad software beta solely because the ETFs have fallen; wait for earnings revisions and renewal/pricing data to stop deteriorating before considering a staged long in IGV or XSW.
• Set an alert for reported seat trends, net retention, AI-related pricing, and incremental compute costs across major software holdings. Without those data, treat an AI-adoption announcement as unverified monetization, not a buy signal.
• For a relative-value watchlist, identify vendors with embedded workflows and proprietary data versus products readily substituted by AI tools; only consider long/short exposure after checking ETF holdings, overlap, and company-level fundamentals.
• Thesis falsifier: renewed cuts to forward revenue or margin guidance, or evidence that AI features are accelerating customer churn or seat reductions. Conversely, stable renewals and pricing alongside manageable compute costs would argue that the sector selloff overshot fundamentals.