Private AI vs Public Cloud AI: A CEO/CIO Decision Framework for Cost, Control, and Speed

This article provides a decision framework for enterprise leaders evaluating private AI versus public cloud AI. It argues that the choice is not binary but a workload-placement decision across five operating models: SaaS AI, public model APIs, managed AI platforms, private AI, and hybrid AI. It compares trade-offs in speed, control, security, and cost, emphasizing that hybrid strategies are often optimal. The article advises evaluating cost per business outcome rather than raw token or GPU prices, and highlights the importance of a common AI control plane and workload-placement criteria. It is relevant for IT and technology decision-makers.