The article examines how agentic AI is moving beyond traditional automation into systems that can plan,
decide, and execute infrastructure actions, such as provisioning resources, scaling GPU clusters,
orchestrating pipelines, and modifying live environments.

The piece argues that as autonomy increases, the primary challenge becomes governance and accountability at
“machine speed.” It outlines why organizations need embedded guardrails, policy expressed as code,
cost/security/compliance controls built into environment definitions, and full observability and auditability
for every action, whether triggered by a human or an autonomous agent.

Read here:

The Cloud Is Becoming Autonomous. Who Is Governing It?