When generative AI first burst from research labs into practical business applications, many enterprises entered a quiet agreement: prioritize immediate capabilities over complete control. The promise was alluring – feed your proprietary data into powerful third-party AI models and unlock incredible results. However, this convenience came with a catch: your most valuable data would traverse systems you didn’t own, under governance you couldn’t dictate.
The protections you relied upon were only as robust as the provider’s latest policy update, leaving companies vulnerable to unforeseen changes. Now, with generative AI firmly embedded in daily operations and sophisticated new agentic AI systems advancing rapidly, businesses are critically reevaluating the fundamental terms of that initial deal. The urgency to regain command over their digital assets is palpable.
Reclaiming Control: The Urgent Call for AI and Data Sovereignty
“Data is really a new currency; it’s the IP for many companies,” explains Kevin Dallas, CEO of EDB, articulating a common apprehension among his customers. The primary concern is straightforward: when deploying an AI-infused application powered by a cloud-based large language model, are you inadvertently relinquishing your intellectual property? Could this reliance on external systems ultimately erode your competitive advantage in the market?
This critical question is now propelling a significant movement toward reclaiming both the data and the AI systems that have quickly become indispensable core business infrastructure. This concept, known as AI and data sovereignty, means breaking free from dependence on centralized providers and establishing genuine, internal control over both AI models and expansive data estates. Dallas emphasizes that this is an urgent priority for a vast majority of companies, citing internal EDB data that reveals a striking statistic: 70% of global executives believe they need a sovereign data and AI platform to truly succeed.
A Global Imperative: Building National AI Infrastructure
The conversation around AI sovereignty isn’t confined to corporate boardrooms; it’s rapidly evolving into a global policy discussion. Visionary leaders like NVIDIA CEO Jensen Huang have publicly advocated for this crucial shift. Speaking at the World Economic Forum’s annual meeting at Davos in January 2026, Huang underscored the importance of national engagement in AI development.
He articulated a powerful vision: “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 perspective highlights the strategic imperative for nations to cultivate their own AI capabilities, safeguarding cultural identity and fostering domestic innovation.
Enterprises Take the Lead: The Sovereignty Movement Is Underway
This strategic report delves into the tangible ways enterprises are actively pursuing sovereignty over their AI models and data estates amidst the era of rapid AI adoption. The findings are based on a comprehensive survey conducted by EDB, which gathered insights from more than 2,050 senior executives across various industries. This extensive research also incorporated a series of in-depth interviews with leading industry experts, providing rich qualitative context.
The collective evidence unequivocally confirms that the sovereignty movement at the enterprise level is not merely theoretical; it is already well underway. Companies are proactively investing in technologies and strategies to secure their data, customize AI models, and ensure that their most valuable digital assets remain firmly under their own control. This shift signifies a maturation in how businesses approach AI, moving from early adoption to a more considered, strategic embrace of its long-term implications for competitive advantage and security.
Source: MIT Tech Review – AI
