FinOps Fails to Fix AI Cloud Cost Crisis

Enterprises are losing the battle against rising cloud costs, and FinOps tools like dashboards and governance frameworks aren't solving the problem. With 55% of companies seeing no ROI from AI, the real issue is that cloud architectures built for batch analytics can't handle AI's continuous, high-volume data demands. The fix lies in rebuilding the data processing layer to route workloads across CPUs, GPUs, and custom accelerators intelligently. Companies that have done this report cost cuts of 50-80% without code changes or migrations. Better forecasting won't help when the underlying engine is fundamentally mismatched to modern AI workloads.