In the global race for AI leadership (more than $2 trillion was invested across the AI value chain between 2010 and 2024), AI sovereignty has emerged as a key element of long-term competitiveness.
The core of AI sovereignty is based on government agendas and national priorities. This refers to the ability of economies to shape, deploy, and manage AI ecosystems in line with their interests and values. This means strategic and operational management and the ability to develop resilience through a balance of local investment and international cooperation. This has often been equated with owning infrastructure such as data centers and high-performance computing, but in reality sovereignty is more about control and flexibility than self-sufficiency.
The most successful economies will not be those that seek to dominate every layer of the AI stack, but those that can identify their unique strengths, connect to global networks, and invest with precision. Bain & Company and the World Economic Forum published a foundational white paper on AI sovereignty, “Rethinking AI Sovereignty: A Path to Competitiveness through Strategic Investment,” outlining different investment strategies for economies to compete across the AI ecosystem.
AI sovereignty moves into the boardroom
As governments align AI investments to areas of national interest and move from abstract sovereign goals to concrete actions, they are increasingly turning to the private sector to fill critical capability gaps across talent, services, software, and hardware that public and government agencies urgently need. In doing so, governments are increasingly shaping AI ecosystems in ways that impact market access, partnership models, and competitive dynamics. As a result, this creates new opportunities for companies to operate within sovereign constraints and support the development and expansion of sovereign AI capabilities.
For businesses, the implications are clear. AI sovereignty is moving from policy considerations to board-level discussions around control, competitiveness, and long-term strategic flexibility. This growing relevance to business is highlighted by a Linux Foundation survey of more than 230 respondents, primarily from IT provider and IT end-user organizations. According to the survey, 79% of respondents believe sovereign AI is valuable and strategically relevant. Notably, 47% believe sovereign AI is directly relevant at the organizational level.
Realizing the value of AI sovereignty requires clear choices along several strategic vectors that shape how companies engage in the sovereign AI ecosystem.
What leaders should do now
Prioritize interoperability in your design. In the rapidly expanding AI landscape, interoperability—the ability to connect seamlessly across systems, borders, and platforms so that data, models, and workloads can be moved securely and efficiently—is a key differentiator. A Harvard Business School study found that after the General Data Protection Regulation (GDPR) went into effect, companies with more data portability and more modular data architectures experienced smaller revenue declines and lower IT cost increases than less flexible companies. Today, designing interoperable and resilient infrastructures enables enterprises to adapt to evolving sovereign requirements and maintain long-term performance.
Invest in the right AI capabilities. To succeed in a sovereign AI environment, companies must selectively invest in capabilities that align with each market’s sovereign and infrastructure demands. This includes deploying secure and interoperable systems, strengthening data governance and management, and developing AI-enabled solutions tailored to local requirements and use cases. British telecommunications provider BT Group has launched a sovereign platform to provide UK-based data storage and processing designed to meet the country’s stringent compliance, security and resiliency requirements. This illustrates how companies that position themselves as trusted sovereign-enabled partners can develop a differentiated advantage as state constraints increasingly shape customer demands and regulatory expectations.
Rethink your business model. To remain competitive and manage regulatory risk, companies must regularly assess how well their business models align with local AI sovereignty requirements and be prepared to make targeted course corrections. A clear understanding of where and how sovereignty constraints apply allows leaders to rethink their business models and improve their competitiveness. This dynamic is already clear. Hyperscalers are increasingly partnering with local carriers to provide sovereign cloud services that meet government control and compliance requirements, such as Microsoft’s partnership with Germany’s Delos Cloud.
Take advantage of the AI ecosystem. AI sovereignty does not require economies to function in isolation. The same goes for companies. The most competitive companies build deep and trusted partnerships across industries and geographies. This requires balancing collaboration with local partners to meet sovereignty, compliance, and resiliency requirements, while continuing to collaborate with global providers to access innovation, scale, and performance. In Europe, for example, non-local providers account for approximately 85% of the cloud market, and the Business Software Alliance (BSA) reports that non-European vendors are prioritized based on technical performance, cost, or service features that some European vendors do not offer.
Build with complexity in mind. As AI sovereignty regulatory frameworks continue to evolve across markets, businesses need organizational structures that can handle the increased complexity. In the EU, AI legislation is evolving through targeted stakeholder consultation and continued development of guidelines, with gradual implementation by 2027. Such scenarios require building in more flexibility into decision-making and AI system delivery, increasing regulatory sensing and response capabilities, and designing modular systems that can quickly adapt to changing requirements.
The AI sovereignty agenda is being defined now, and the choices made in this moment will shape competitive outcomes for years to come. By making informed and prudent decisions across the strategic vectors outlined in this paper, companies that act early will be best positioned to expand across markets, partner effectively with governments, and capture new sources of value.
