Kubernetes teams trust automation to ship code but not to touch CPU, and AI is raising the stakes

Short summary

Kubernetes teams routinely automate code deployment via CI/CD but hesitate to automate infrastructure resource and CPU management. AI systems are narrowing this automation trust gap, forcing teams to reconsider where they draw boundaries around infrastructure decisions.

• •Asymmetric automation trust: teams automate deployments freely but restrict automation of resource/CPU decisions
• •AI is changing risk calculus—resource automation is becoming harder to avoid
• •Gap between deployment and infrastructure automation is a growing operational risk

Generated with AI, which can make mistakes.