Platform Engineering 2.0: An Evolution for the AI Era
CIO, Tuesday, July 28th, 2026
CIOs must evolve platform engineering to support AI agents as autonomous infrastructure consumers with governance and cost controls.
Current platform engineering approaches face limitations as AI agents emerge as new infrastructure consumers requiring different governance models.
Platform Engineering 2.0 extends traditional developer productivity frameworks with five critical capabilities: AI-native infrastructure, multi-user platform support, embedded cost intelligence, security-first design, and composable architectures.
Organizations must shift platform engineering from a developer productivity function to an enterprise-wide AI governance layer, with CIOs viewing their platform teams as strategic assets for managing autonomous agents responsibly at scale.