AI Sovereignty Is an Architecture Decision, Not a GPU Decision
AI Sovereignty Architecture Enterprise Architecture Series · Part 3 AI Sovereignty Is an Architecture Decision, Not a GPU Decision Owning the infrastructure is one thing. Retaining meaningful control over the capabilities that depend on it is another. A framework for thinking through what sovereignty actually requires. October 2026 · Deep Dive · ~15 min read When organizations discuss AI sovereignty, the conversation almost always starts with hardware. Which accelerators to buy. Where to locate the data centre. Whether models should run on private infrastructure or an approved cloud service. Which AI ecosystem to build around. These are important questions. But they are the wrong first questions. An AI workload can run entirely on infrastructure an organization controls and still depend on externally maintained software, specialist skills, model lice...