$234 billion. That’s the amount Gartner claims agentic AI could impact enterprise software revenue models between now and 2030.

The research giant suggests that the proliferation of AI agents could massively disrupt software as a service (SaaS) vendor spending, with the ability to complete tasks so efficiently that companies may look to reduce forking out for traditional software licenses.

By 2030 then, Gartner predicts that 20% of what enterprises had originally planned to spend on software services will instead be diverted to AI-driven alternatives.

“Agentic systems deliver outcomes directly, bypassing traditional user experience (UX)-heavy applications and making the software invisible. This breaks the link between user growth and revenue growth for many enterprise software vendors,” said George Brocklehurst, managing VP at Gartner.

Agentic AI has quickly become the next big thing in the burgeoning AI space, shifting from performance hyperbole to actual deployments. Nokia, for example, is touting agentic AI-powered 5G-Advanced network slicing capabilities capable of diverting network coverage in the wake of real-time flare-ups. Meanwhile the meteoric rise of OpenClaw has spurred the development of open-source agent systems that can be easily deployed locally.

Gartner’s latest agentic-related viewpoint is a far cry from a report published only last year that suggested more than 40% of agentic AI projects would be canceled by the end of 2027. That same report poured cold water on the concept with a warning of “agent washing” amid claims some firms were simply slapping the AI agent name on existing offerings like assistants, chatbots, and robotic process automation (RPA) tools.

But for the SaaS space, the rise of agentic AI has ultimately led to fears of a potential SaaS apocalypse stemming from projected market correction and subsequent investor panic, with AI agents and AI-native products threatening to render the traditional SaaS model obsolete.

The landscape for SaaS stocks looks increasingly bleak. Analysis from Bain & Company indicates cooling of investor sentiment predates the current obsession with AI agents. But for SaaS players to shift to capture agentic demands requires significant capital, leaving many legacy providers potentially struggling to evolve, stating: “Not every software company will be able to make that transition.”

Despite being able to break the link between user growth and revenue growth for many enterprise software vendors, Gartner’s report sees the feared "SaaSpocalypse" as something different altogether.

“This is less an apocalypse and more of a metamorphosis,” Brocklehurst said. “SaaS will not be destroyed; it will emerge in a different form. This metamorphosis represents threats and opportunities for both incumbents and new challengers.”

While enterprise buyers will deemphasize buying more new tools or dashboards, the analyst giant suggests that incumbent software vendors should instead look to embed agentic capabilities into their offerings to defend their position in the value chain and retain customer-specific knowledge.

“While this shift is posing an existential threat for vendors who are defending legacy dashboards and seat-based models, it creates a substantial revenue opportunity for vendors who are enabling and developing services and platforms to support agentic-enabled cross-domain workflows,” Brocklehurst added.

The AI agent proliferation isn’t without its flaws, either. An Aithos Research Foundation report published in May suggests agents running on frontier-level models consistently and repeatedly break data protection laws just to complete their assigned tasks.

Agents running on Google's Gemini 3.1 Pro, for example, broke rules from regulations like Europe's General Data Protection Regulation (GDPR) and AI Act 90% of the time, while even the best-performing system, Anthropic’s Claude Opus 4.7, still broke the law 46% of the time.