“Knowledge is known as a new foreign money; it’s the IP for a lot of corporations,” says Kevin Dallas, CEO of EDB, echoing a recurrent anxiousness from clients. “The massive concern is, in case you’re deploying an AI-infused utility with a cloud-based giant language mannequin, are you shedding your IP? Are you shedding your aggressive place?”
That query is now fueling a motion towards reclaiming each the info and AI techniques which have quickly develop into a part of core enterprise infrastructure. AI and knowledge sovereignty, which refers to breaking dependence on centralized suppliers and establishing real management over fashions and knowledge estates, it’s an pressing precedence for a lot of corporations, says Dallas, citing inner EDB knowledge: “70% of worldwide executives consider they want a sovereign knowledge and AI platform to achieve success.”
The concept of AI sovereignty is changing into a world coverage dialog. NVIDIA CEO Jensen Huang just lately spoke in regards to the want for such a shift on the World Financial Discussion board’s annual assembly at Davos in January 2026: “I actually consider that each nation ought to become involved to construct AI infrastructure, construct your individual AI, reap the benefits of your elementary pure useful resource—which is your language and tradition—develop your AI, proceed to refine it, and have your nationwide intelligence be a part of your ecosystem.”
This report explores how enterprises are pursuing sovereignty over their fashions and knowledge estates in an period of fast AI adoption. Drawing on a survey carried out by EDB of greater than 2,050 senior executives and a collection of interviews with trade consultants, the analysis confirms that the sovereignty motion on the enterprise degree is already effectively underway.
This content material was produced by Insights, the customized content material arm of MIT Expertise Evaluation. It was not written by MIT Expertise Evaluation’s editorial workers. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This contains the writing of surveys and assortment of knowledge for surveys. AI instruments which will have been used had been restricted to secondary manufacturing processes that handed thorough human assessment.
