At Stockholm MLOps #36, the conversation moved far beyond models. Discussions around retrieval architectures, sovereign infrastructure, workload placement, synthetic data and air-gapped AI revealed a broader industry shift: AI is becoming an infrastructure discipline. The question is no longer just what model to use, but where it runs, who controls it, and how it operates under real-world constraints.