Whereas AWS, Google, and Microsoft are racing to make agent development a “turnkey service-layer experience for cloud-native greenfield workloads,” Red Hat is meeting customers where they live, he said. That is: In hybrid environments, private cloud footprints, regulated industries, and “long-lived” infrastructure.
Red Hat serves a “fundamentally different developer” than hyperscalers do, he said. Google Cloud and AWS are optimized for organizations looking to consume agentic AI as a managed service via Gemini Enterprise, Bedrock AgentCore, or Copilot Studio, “where the platform abstracts the complexity and the customer trades control for convenience.”
Red Hat’s customers, however, operate predominantly in private and hybrid cloud, often in regulated or sovereignty-sensitive industries, and have both the “appetite and the obligation” to manage complexity themselves, Dickerson said. The interesting question for them isn’t “which agent SaaS do we subscribe to?” It’s “how do we get the productivity gains of agentic development without surrendering the architectural control that’s core to how we operate?”