AI-native Spending Surges, SaaS Growth Stalls

The Next Web reports AI-native enterprise spending grew 94% year on year, while traditional SaaS growth cooled to 8%. The Next Web reports the financial market event dubbed the "SaaSpocalypse" removed roughly 285 billion dollars of market capitalization from software companies on 3 February 2026. The Next Web links the market reaction to several concurrent developments, including Anthropic's release of open-source enterprise agent plugins and a wave of agentic product launches from Salesforce, ServiceNow, and Google.

The Next Web reports that observers and market data cited by vendors argue AI agents can compress the number of human users needed for the same workflows, and that seat-based revenue share in enterprise contracts dropped from 21% to 15% in twelve months. The article cites a Gartner forecast that by 2030 at least 40% of enterprise SaaS spending will shift to usage-based, agent-based, or outcome-based models.

Industry context: Public coverage frames the valuation correction as a repricing of per-seat economics rather than a single technical breakthrough. Companies that face similar transitions in pricing models often need to redesign contract templates, adapt metrics for usage-based billing, and renegotiate customer ROI expectations. For vendors, sales motions built on seat counts become harder to justify when agentic automation reduces headcount-linked consumption.

Industry context: The reported 285 billion dollar market-cap hit and the reported divergence between AI-native growth and traditional SaaS growth together indicate investor attention on monetization model risk, not just product feature sets. For practitioners, procurement and vendor evaluation processes will likely emphasize per-interaction cost, auditability, and integration costs over raw seat counts.

Industry context: Observers should follow vendor contract language changes, the emergence of standardized metrics for agent consumption, and whether the open-source agent ecosystem (reported by The Next Web via Anthropic) produces common interoperability patterns. Track quarterly revenue recognition disclosures for shifts toward consumption billing and any regulatory or accounting guidance addressing agent-driven usage metrics.