The iShares Expanded Tech-Software ETF surged 21% in May 2026, its strongest monthly performance since October 2001, as institutional investors began unwinding the catastrophic narrative that AI agents would gut subscription software revenue wholesale.
Three months ago, Wall Street was burying SaaS. The trigger was February's brutal selloff , roughly $285 billion erased from software valuations in roughly 48 hours , after Anthropic's launch of Claude Cowork convinced markets that AI agents were about to make entire categories of per-seat software obsolete. The term "SaaSpocalypse" went from niche bear-thesis shorthand to mainstream financial media vocabulary practically overnight. Fast-forward to the final trading days of May 2026, and the same investors who were pricing in existential disruption are quietly buying back in.
The iShares Expanded Tech-Software ETF closed May up 21%, according to CNBC , the best monthly print for that fund since October 2001, when markets were staging a brief, ultimately false dawn during the dot-com bust. The comparison is worth sitting with. Back then the rally lasted weeks before collapsing. This time, the underlying story is materially different: companies are actually reporting AI-driven revenue acceleration, not just promising it.
The clearest example of that shift came from Snowflake. The data platform reported fiscal Q1 product revenue of $1.33 billion, up 34% year over year, and , crucially , its net revenue retention rate ticked up to 126%, the first improvement after three consecutive quarters stuck at 125%. CEO Sridhar Ramaswamy called the quarter a clear AI inflection point, pointing to more than 13,600 accounts now running its Cortex Code and Snowflake Intelligence tools in production. These are no longer pilots. Then came the deal: Snowflake committed $6 billion to Amazon Web Services over five years, the largest infrastructure bet in the company's history, leaning into AWS Graviton chips and GPU capacity to support enterprise agentic AI workloads. The stock gained nearly 50% across the four trading days following Memorial Day. It logged its single best day in company history.
That kind of print changes the conversation. Snowflake is not a legacy SaaS incumbent retrofitting AI marketing onto an unchanged product. It is infrastructure for the AI stack, and that distinction is exactly what the market is rewarding. JPMorgan's coverage team, which had flagged as early as early May that some names were breaking out of the SaaSpocalypse, highlighted Oracle alongside Palo Alto Networks, Microsoft, and CrowdStrike as the best-positioned survivors. Oracle rose more than 35.5% over the past month, helped by its own cloud and AI infrastructure buildout, and its March earnings had already challenged the apocalypse thesis when it jumped 11% premarket on AI demand signals.
Not Every Name Is Back
The recovery is real but it is not uniform, and that matters enormously for anyone using public markets as a signal for where private capital should flow. Salesforce tells the story clearly: CRM shares are still down roughly 33% in 2026, even after the company delivered an earnings beat, because the market sees Agentforce , Salesforce's AI agent product, which generated $1.2 billion in the quarter , as insufficient cover for the existential threat to its core seat-based licensing model. The company is generating AI revenue; investors just do not yet believe it offsets what AI agents might take away. That ambiguity is not resolved by one good month in the ETF.
The dividing line running through this rally is infrastructure versus application layer. Snowflake, Oracle, CrowdStrike, Palo Alto , these are companies that have made themselves load-bearing walls inside enterprise technology architecture. The businesses struggling are those competing directly with AI rather than enabling it, the ones who added "AI-powered" to their product pages without fundamentally rethinking the value exchange. Vibe coding platforms have meanwhile enabled users to spin up apps and basic workflows in minutes, compressing the market for mid-market SaaS products that solve narrow, deterministic problems. The incumbents who sold those tools are still navigating that structural headwind regardless of May's rally.
Worth noting: the iShares software ETF, for all its momentum, remains down 3.8% year to date. The Nasdaq has gained 18% over the same period. The sector is still deeply in recovery mode, not vindication mode.
What It Means for Founders and VCs
The downstream implications for the startup and venture ecosystem are real but should be read carefully. Public market multiple expansion matters to founders because exit valuations in M&A and IPO processes are anchored to public comps. Median private SaaS exit multiples have already started recovering , running around 3.8x revenue versus 2.9x in 2024 , and VC-backed companies with strong fundamentals are seeing 5x-plus. If the May rally holds, those benchmarks move further in founders' favor. Growth-stage SaaS companies that have spent two years under funding pressure because their comps were depressed may find the next round meaningfully easier to price.
But the differentiation is tightening, not loosening. Investors across public and private markets are converging on the same framework: AI-native companies and data infrastructure players command dramatically higher multiples , AI-native startups are currently pricing at roughly a 70% premium to comparable non-AI SaaS at Series A , while application-layer SaaS without a credible AI monetization story continues to face compression. The SaaSpocalypse thesis has not been disproved. It has been refined. The question was never whether AI would disrupt software. It was always which software, and the market is now pricing those answers in real time.
The companies to watch through the rest of 2026 are the ones reporting enterprise AI in production , not in pilots, not in announcements, but in net revenue retention and product revenue growth. Snowflake just set that bar. The rest of the sector now has to clear it.
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