Agentic AI workloads trigger cost overruns forcing enterprises to rethink cloud contracts

According to CIO, enterprise technology leaders report rapid cost overruns for agentic AI workloads on AWS, Azure, and GCP, with available cloud capacity sitting outside existing agreements and pricing moving well beyond forecasted budgets. The mismatch between contracted capacity designed for predictable workloads and the concurrent, unpredictable resource consumption of agentic applications is forcing reconsideration of cloud spending commitments.