Why AI Sovereignty Is Becoming a CEO-Level Decision in a Multi-Model World?
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Why AI Sovereignty Is Becoming a CEO-Level Decision in a Multi-Model World?
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概要
AI sovereignty is rapidly becoming a CEO-level decision because it reshapes market access, operational risk, and vendor concentration exposure at the same time. The urgency is practical: decision windows are tightening as data residency expectations harden, buyers demand auditability, and model economics shift faster than most procurement cycles. This issue synthesizes consulting guidance into a single operating logic: institutionalize a multi-model strategy with explicit routing, fallback, and governance controls—so sovereignty becomes executable, not aspirational. You will see where leading firms align on “replaceable model layers” and lifecycle governance, where they diverge on partnership versus disconnected sovereignty, and what metrics executives can use to run the portfolio with discipline (cycle time, exception rates, QA pass, and cost per case).