AI didn't kill SaaS. It exposed broken revenue design.

The emergence of AI agent systems such as OpenAI's Frontier and Anthropic's Claude Cowork has challenged the traditional SaaS business model, which was historically based on predictable, subscription-based revenue tied to human users occupying seats. As AI agents, which operate continuously and autonomously, become the primary users of software, the economic assumptions underpinning SaaS are being rewritten, necessitating a shift from static, access-based pricing to dynamic, value-based monetization strategies. This "SaaSpocalypse" is a stress test for SaaS companies to adapt their revenue models to align with the variable usage and outcomes driven by AI, requiring a comprehensive approach to revenue design that emphasizes cross-functional collaboration, data-driven decisions, and iterative pricing strategies. Orb, a platform designed to facilitate this transition, provides a unified system that connects usage data with pricing and revenue outcomes, enabling companies to test, deploy, and automate pricing changes effectively. Those who succeed in this new era will be those who align their pricing to the real value delivered by both human and AI usage, ensuring their revenue strategies are as agile and adaptive as the technological landscape.