A match made in heaven, or one hell of a couple? Platform teams spent 2 years perfecting golden paths for cloud-native infrastructure. 5 engineers managing 100 services.

Last week, a new AI agent generated the same config in 30 seconds. This week they're managing 5 LLM models across 200 services. The future seems one-sided. This couple needs counselling.

This is escalating abstraction: Platforms reduce k8s chaos. AI automates those paths at breakneck speed. But AI-generated configs violate platform policies. Platforms enforce governance via admission controllers. Governance needs observability. Observability reveals the gap: no model lifecycle management, no agent audit trails, no cost control APIs.

This talk traces real interdependencies: deprecating models, managing sprawl, isolating agents, controlling budgets. You'll learn what exists - CNCF AI Conformance, tools, working groups & the critical gaps.

Right now, there's no greater agony than rationalising AI without platforms.