Enterprise AI Shifts From Token Count Metrics to ROI‑Driven Adoption
Enterprises are moving from free AI experimentation to paying for real usage, shifting focus from token consumption to measurable ROI on revenue‑impacting workflows. The article argues that token counts are a flawed proxy for value and highlights strategies like model routing, open‑source use, and outcome‑based pricing to drive cost‑effective AI adoption.