Kubernetes teams auto-deploy code but refuse AI CPU tweaks, costing money
A survey of 321 enterprise Kubernetes engineers finds 82% trust automated deployments, yet 71% demand human review before resource‑optimisation recommendations, and only 27% allow auto CPU or memory changes. AI inference workloads amplify the risk, turning over‑provisioning into expensive waste and rightsizing mistakes into hidden outages.