“Data is really a new currency; it’s the IP for many companies,” says Kevin Dallas, CEO of EDB, echoing a recurrent anxiousness from clients. “The big concern is, if you’re deploying an AI-infused application with a cloud-based large language model, are you losing your IP? Are you losing your competitive position?”
That query is now fueling a motion towards reclaiming each the data and AI systems which have quickly turn into half of core enterprise infrastructure. AI and data sovereignty, which refers to breaking dependence on centralized suppliers and establishing real management over fashions and data estates, it’s an pressing precedence for a lot of firms, says Dallas, citing inner EDB data: “70% of global executives believe they need a sovereign data and AI platform to be successful.”
The thought of AI sovereignty is turning into a worldwide coverage dialog. NVIDIA CEO Jensen Huang lately spoke about the want for such a shift at the World Economic Forum’s annual assembly at Davos in January 2026: “I really believe that every country should get involved to build AI infrastructure, build your own AI, take advantage of your fundamental natural resource—which is your language and culture—develop your AI, continue to refine it, and have your national intelligence be part of your ecosystem.”
This report explores how enterprises are pursuing sovereignty over their fashions and data estates in an period of fast AI adoption. Drawing on a survey performed by EDB of greater than 2,050 senior executives and a collection of interviews with trade specialists, the analysis confirms that the sovereignty motion on the enterprise degree is already properly underway.
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