Red Hat: Agentic AI Shifts Focus to Platform Control

Agentic AI infrastructure is prompting a shift in enterprise focus from choosing models to controlling platforms. This means companies are looking beyond public cloud AI services, especially as AI systems become persistent enterprise applications. What's interesting is that the cost of tokens is rapidly increasing, particularly for always-running enterprise agents. There are also significant concerns about data exposure and compliance when using public cloud services. According to Joe Fernandes from Red Hat, these factors are leading organizations to consider alternative approaches. Platform teams are becoming more crucial than ever, as agents represent the next evolution of enterprise applications, requiring robust platforms for reliability, scale, and security. The bottom line is that as AI moves from pilot projects to operating models, managing these autonomous systems and their operational costs becomes a key challenge for businesses.