AI sovereignty, the issue of control

▤ Summary

This article examines how European companies are struggling to gain real control over their AI environments. It shows that many organizations use AI widely, but only a small share clearly understands their dependencies on vendors, models, and infrastructure. The piece also highlights the business risks of lock-in, service interruptions, data residency constraints, and fragmented multi-vendor setups. IBM's study frames AI sovereignty as both a compliance issue and a resilience issue, with direct impact on continuity, negotiation power, and operational performance. The article argues that companies need better visibility, portability, and centralized governance to manage AI effectively.

▦ Linked Companies

IBM

$1B+