Google and AWS split the AI agent stack between control and execution

Google relaunched its enterprise agent product as Gemini Enterprise, centered on a governance-focused control plane.

AWS expanded Bedrock AgentCore with a managed agent harness that uses config-based setup to speed deployment.

The two moves highlight a broader split in the AI stack: Google is optimizing for oversight, while AWS is optimizing for rapid assembly and execution.

As agents become long-running production systems, enterprises need better reliability, security, and control.

These platforms are helping define the emerging architecture for enterprise AI agent stacks.