Where AI execution meets economics.

Runtime Economics is emerging as a distinct discipline around understanding and governing the economic behavior of autonomous systems. It goes beyond an infrastructure bill to connect what an agent does, what resources it consumes, what value it creates, what risk it introduces, and whether the outcome justifies the cost. :contentReference[oaicite:0]{index=0}

RuntimeEconomics.com is not merely a descriptive combination. In 2026, “Runtime Economics” is being explicitly positioned as the discipline for understanding the value, cost, risk, resource allocation, and decision behavior of autonomous systems. :contentReference[oaicite:1]{index=1} Industry discussions are simultaneously moving toward runtime-level cost attribution and behavior-aware economic governance, because AI agents dynamically determine how much inference, retrieval, tooling, and compute they consume. :contentReference[oaicite:2]{index=2}