Source: SiliconANGLE
Red Hat's assessment reflects a widening gap between AI pilot enthusiasm and production deployment reality—inference costs, infrastructure complexity, and vendor lock-in are creating friction. The conversation is shifting from "how do we adopt AI" to "how do we make it economically viable." This will likely accelerate demand for open-source alternatives, cost optimization tools, and hybrid cloud strategies that reduce reliance on cloud vendor pricing. Enterprise software companies that help clients move from experimental AI to cost-efficient operations will compete on different terms than current AI platform leaders.