75% of Organizations Prioritize AI Sovereignty. Is That Really Enough?

Capgemini’s 2026 report identifies AI as the leading priority in digital sovereignty strategies for 75% of organizations, reflecting growing concerns about resilience, control over data and models, provider concentration, export restrictions, and dependence on external infrastructure. Digital sovereignty has become a board-level issue, with most organizations discussing it at that level, many developing formal strategies, and a majority allocating budgets, but the report argues that sovereignty should mean resilient, controlled interdependence rather than complete technological isolation. It distinguishes sovereign AI from sovereign cloud, noting that in-region or locally controlled infrastructure alone does not ensure control over sensitive data, models, access, processing, or governance. A practical approach is “minimum viable digital sovereignty,” in which organizations identify critical workloads and apply stronger controls, portability, verification, and exit options where risks are highest. The text also describes a model involving Intel confidential computing, Red Hat OpenShift, and Duality’s governed collaboration workflows as an example of how organizations could use third-party or public-cloud infrastructure while restricting operator access to sensitive AI assets.

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