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AI

Digital sovereignty by design: Choice and control

Paper | 14/04/2026 | Read time: 1 min

Over the past decade, assumptions about globalization, trade, and cross-border cooperation have been upended. For many enterprises, the solution is to embrace digital sovereignty as a new paradigm about how to think about their technology.

Digital sovereignty is ultimately about choice, control, and adaptability—not about retreating behind digital borders. Sovereignty includes data sovereignty, covering where data is stored and processed; operational sovereignty, the ability to operate systems without undue external dependency; technological sovereignty, the degree to which an organization’s technology stack is insulated from foreign control; and AI sovereignty, control over the data, infrastructure and models, that underpin artificial intelligence.

Organizations that approach sovereignty as a foundational design principle will be better positioned to navigate geopolitical uncertainty, regulatory divergence, and rapid technological change.

Key takeaways

01

Digital sovereignty is not an all-or-nothing decision. Some data sets are more sensitive than others or might be subject to different regulations. And retreating from the public cloud can significantly compromise innovation and performance. Sovereignty should therefore be addressed through segmentation and design, not wholesale withdrawal.

02

Sovereignty goals can be achieved through advanced security and governance controls. Data vaulting, advanced encryption and post-quantum cryptography allow organizations to meet sovereignty objectives while avoiding the false trade-off among security, performance and innovation.

03

For many organizations, open-source software offers an additional approach for operational and technological sovereignty. By reducing dependence on single vendors or geopolitical supply chains, open source ecosystems can enhance transparency, resilience and long-term control.

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