In a nutshell: Autonomous AI agents are rendering classical SaaS licensing models increasingly obsolete, threatening approximately one-fifth of the enterprise software market by 2030 and forcing established vendors toward outcome-based business models.
Autonomous AI agents complete tasks independently across multiple systems, making human users redundant. According to Gartner’s forecast, up to $234 billion in annual SaaS spending worldwide are at risk by 2030—approximately one-fifth of the entire business software market.
At Gartner, this phenomenon is termed “agentic arbitrage”. AI agents execute processes autonomously across multiple systems, replacing the classical user interaction with individual software platforms. What previously required employees to click through various dashboards, forms and menus will in future be handled entirely by an agent in the background—software becomes literally invisible.
This development hits classical SaaS vendors directly in their business model. Their revenue typically depends on so-called seat licensing—a fee per user. When a single agent assumes the work of many people, the number of required licenses drops accordingly. George Brocklehurst, Managing Vice President at Gartner, warns: “AI agents are changing the economics of software.” They deliver results directly and bypass elaborately designed user interfaces.
In parallel, enterprise buyer expectations are shifting. According to Gartner, companies increasingly avoid purchasing additional new tools or dashboards. Instead of additional features, the demand is for measurable results. New AI features alone often only increase costs without raising actual value. What matters instead is whether a system can build and use context and knowledge about customers and processes over extended periods—something that currently often requires significant consulting effort.
For established software vendors, this creates pressure to act. Those who continue to rely on classical user interfaces and seat-based licensing models risk losing market share. To remain competitive, vendors must transition from purely surface-oriented value creation to outcome-based offerings, integrate agent functions directly, and above all store customer-specific knowledge—not merely raw data.
At the same time, the upheaval opens new business opportunities. AI-native start-ups and service providers could position themselves as an orchestration layer above existing systems, focusing on where agents must link multiple applications. Those who help enterprises redesign their workflows around AI agents could not only capture existing software budgets, but also benefit from additional savings through efficiency gains.
Source: www.it-daily.net · Published 2 July 2026
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