Google I/O 2026 Wasn’t About AI Models — It Was About Agent Execution Layers

Google I/O 2026 pointed to a shift from better models to the infrastructure needed for persistent AI agents.

The core challenges are now execution, state management, context handling, and tool orchestration.

The article argues that future AI gains will depend more on reliable agent memory and coordination systems than on model upgrades alone.

Google’s Gemini, AI Studio, and related tooling reflect a broader move toward multi-agent infrastructure.