AI Agents Heading For A Cloud Migration Moment

Prashant Jalan compares the current challenges of managing enterprise AI usage to the cloud adoption surge a decade ago, highlighting issues like shadow AI, runaway costs, and lack of ROI measurement. He predicts the emergence of a mature AI management infrastructure akin to Cloud FinOps, driven by hyperscalers providing managed agent runtimes to control and optimize AI workloads.