Why the Next Era of AI Is About Infrastructure, Not Just Models

As AI moves from experimentation to production deployment, organizations face unprecedented infrastructure challenges rather than model capability gaps. Companies are managing dozens of fragmented AI models simultaneously with inconsistent APIs, pricing, and performance profiles, creating operational complexity that existing solutions don't adequately address. The shift from "should we experiment?" to "why isn't this in production?" to "what's the ROI and cost?" requires new infrastructure to handle reliability, auditability, cost control, and data governance at scale.