Between February 3–4, 2026, global software and data stocks lost roughly $300 billion in market value after Anthropic launched new Claude Cowork plugins, including a legal automation tool, that investors fear could undercut traditional software and IT services. Indian IT and BPO stocks fell up to 8–10%, while major U.S. and European software names also sold off sharply.
This article aggregates reporting from 8 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
The “SaaSpocalypse” selloff is the first major market event explicitly blamed on agentic AI tools moving up the value stack. Anthropic’s new Claude Cowork plugins – especially the legal workflow agent – crystallized a fear that has been simmering for two years: if a $20-per-seat AI agent can navigate Salesforce, review NDAs, reconcile data, and write reports, what happens to software license margins and labour-intensive IT services? Indian IT names, BPOs, and Western SaaS giants sold off in unison as investors repriced the durability of business models built on billable hours and per-seat software.([economictimes.indiatimes.com](https://economictimes.indiatimes.com/markets/stocks/news/rs-1-75-lakh-crore-saaspocalypse-for-it-stocks-explained-what-it-means-for-investors/articleshow/127900151.cms?from=mdr))
For the race to AGI, the signal is profound. Markets are starting to treat certain kinds of “boring” enterprise cognition – compliance checks, migrations, testing, reporting – as within reach of near-term AI agents. That implicitly raises expectations about the pace of capability growth and about where in the software stack value will accrete: orchestration, data moats, and governance, rather than raw APIs or headcount-heavy services. It may also push incumbent vendors to accelerate their own agent offerings, compressing timelines for widespread deployment of semi-autonomous systems inside enterprises.
The flip side is capital rotation. If investors conclude that traditional SaaS and IT services face structural margin pressure from AI, they will look more aggressively at companies that own compute, frontier models, or agent orchestration layers. That could further concentrate resources in a small set of labs and infrastructure providers – speeding technical progress even as it makes the ecosystem more fragile.



