AI agents are reshaping how people interact with business software—and that's why you're hearing claims like "AI will replace SaaS." The core idea is simple: instead of employees logging into five different tools, learning each interface, and clicking through workflows, they'll describe the outcome they want and an agent will execute the steps across systems. When that happens, the seat-based revenue model weakens because fewer humans need direct app access. At the same time, many point-solution products risk becoming interchangeable "capabilities" that the agent can reproduce or route around, pushing buyers to consolidate spend into the platform layer that owns the agent interface and distribution. In this new setup, some SaaS tools survive as trusted backends—systems of record with strong data, governance, permissions, and compliance—while others get squeezed into lower-margin API roles. The likely reality isn't that software disappears; it's that the UI layer changes, packaging shifts from seats to usage or outcomes, and competitive advantage moves toward proprietary data, deep workflows, and distribution. This video breaks down the before-and-after model, why the debate is happening now, and what it means for SaaS pricing, churn, and category winners.