Enterprise AI Moves Behind Firewall as Data Control Trumps Cloud Convenience
Source: SiliconANGLE
Companies are abandoning shared cloud AI infrastructure for on-premise or dedicated private deployments, driven by regulatory friction, token economics that penalize API consumption at scale, and reluctance to feed proprietary data into third-party training sets. The winner in enterprise AI is whoever builds the most seamless software layer for running models within a customer's own infrastructure—shifting the build-vs-buy calculus toward private deployment over cloud convenience.