Why AI Sovereignty Depends on Your Data Foundation
Discover how senior leaders can adopt AI at speed while keeping control over data, decisions, and accountability.
Nation-states have committed over $1 trillion to AI infrastructure, data centers, chips, and talent. A 2025 McKinsey survey of 300 executives found that 71% now see sovereign AI as an existential concern or strategic imperative. Most of that investment stops at infrastructure but this is only the first of six layers that decide whether AI can be trusted.
Sovereignty is won or lost at the data layer. When institutional judgment such as the rules, thresholds, and expertise your teams have built over years, moves into systems you don’t control, sovereignty becomes harder to defend regardless of where the servers sit.
Get clear on where control actually lives, and where it’s already slipping.
In this eBook, you’ll learn how to:
- Map AI sovereignty across the six layers that matter: infrastructure, compute, data, applications, models, and decision control.
- Understand why explainability is now a legal requirement, not just good governance, under the EU AI Act’s Article 86 and the UK’s Algorithmic Transparency Recording Standard.
- Apply the European Commission’s SEAL framework to assess how sovereign your agency’s AI decisions really are, and where infrastructure investment alone falls short.
- See how entity resolution and graph analytics turned fragmented records into governed, auditable AI inside HMRC’s £175 million platform and a Five Eyes intelligence agency’s air-gapped deployment.
Fill out the form to access the full eBook.
