From metal to agent: Why agentic AI is an application evolution

We’re moving beyond simple prompts. The next frontier is agentic AI: autonomous systems that don’t just talk, but act across your enterprise. But as we move into this era, I’m hearing a consistent concern from our customers: How do we adopt these agents without losing control of our infrastructure or our data?

In the Forrester report, “Understand your agentic AI platform options,” there is a vital takeaway: agentic AI is a portfolio problem. Many organizations are falling into the trap of trying to centralize their AI under a single, proprietary vendor. At Red Hat, we believe that path limits your speed and locks away your potential. 

Our AI strategy is built on a different foundation:

• Your data: Keep your proprietary data where it belongs–protected and under your control.
• Your model: Use the best-fit models for your specific use cases, not just what’s “standard” for a vendor.
• Your choice: Build and deploy across the hybrid cloud, from the datacenter to the edge.

Agentic AI requires coherence, not centralization. By using an open source foundation, you can assemble, govern, and scale a diverse portfolio of agents that actually solve real-world problems.

Red Hat is committed to being that stable, flexible foundation for the agentic era. The choice should always be yours.

Check out the full Forrester report to see how to navigate your own AI portfolio today.