As AI moves from experimental pilots to production workloads, organizations face a shift from consumption-based pricing to capacity ownership. The economics of AI spending change when usage becomes steady and predictable; enterprises must evaluate whether owning infrastructure makes financial sense compared to per-request cloud pricing, based on their specific workload demands and utilization levels.