The new value architecture of the AI-native SaaS era

AI-native SaaS is fundamentally reshaping how software value is measured and monetized, shifting from traditional seat-based licensing to credit-centric consumption models that better reflect actual work performed by AI agents. This transformation impacts pricing strategies, enterprise valuations, and procurement patterns—with purchasing now escalating to C-suite operators and total addressable markets expanding 3-10x as AI agents replace services, not just software. CIOs and technology leaders must adopt new performance metrics around committed versus burndown ARR, credit utilization rates, and burn velocity to accurately assess ROI and vendor performance in this new landscape.