Issue AI sovereignty defined as continuous control over systems, data and infrastructure
Summary
IBM gives a working definition of AI sovereignty as the capacity of an organisation to steer and govern its AI systems, data and infrastructure with no gaps in control. The emphasis falls on continuous control rather than on ownership or physical location alone. IBM links the concept to AI resilience, which it says depends on uninterrupted access to technology and data. The definition matters because 93% of executives say sovereignty must enter their 2026 strategy. It frames sovereignty as an operational capability to keep deciding and running AI in any conditions, not just a compliance label.
Classification
Main topicTech·Digital Policy
Region menusGlobal
Impactscope:global
Time horizon0-3 years (2026-07-25)
Published2025-12
Last updated2026-09-30 12:56 KST
Evidence 1
- 5 trends for 2026: Capture fleeting opportunities with confidence IBM Institute for Business Value (IBM IBV) page=19;section=Trend 4: Global AI resilience will require a local safety net 2025-12 accessed 2026-07-25
Constituent trends 1
- TrendGlobal AI resilience will require a local safety net7 signals
Directly linked signals 0
No objects.
Relation types: constitutes
Public id: fm-b2de6a4512a4
