As the global geopolitical environment becomes increasingly complex and uncertain, businesses and policymakers are urging their countries and regions to take greater control of their digital infrastructure, especially components related to artificial intelligence. Gartner® estimates that “by 2028, 65% of governments worldwide will introduce some technological sovereignty requirements to improve independence and protect against extraterritorial regulatory interference.”1
Technology sovereignty is based on the ability of countries and regional blocs to independently develop, control, regulate, and fund digital technologies such as cloud, quantum computing, AI, semiconductors, and digital communication infrastructure.2 It can include specific geographic, legal, and regulatory requirements around flows of data and where physical facilities are, who owns them, who governs them, who operates them, and who provides the hardware, software, and services that power them.
The desire for sovereignty is not new, but the shift toward technology sovereignty will likely quicken in 2026. Over the next decade, significant investment will flow into cloud computing, semiconductors, data centers, AI models, connectivity, and satellite communications. In an interconnected world, total sovereignty is unlikely to be achieved by any country or region, but many aim to become at least more sovereign.
Since AI is widely regarded as the next major driver of economic development and national competitiveness, its ecosystem is currently getting a lot of attention. This urgency is keenly felt because advanced AI capabilities like computing power (also called “compute”) are currently controlled by very few countries and companies.
Research from the Oxford Internet Institute found that “only 34 countries host any public AI compute; only 24 of those have access to training-level compute; and most rely on cloud or chip infrastructure controlled by a small number of foreign actors.”3 The same study found that 90% of all AI compute is managed by US and Chinese companies.4
In 2026, Deloitte predicts that more countries will gain greater access to AI compute, and over US$100 billion will be committed to building sovereign AI compute. By 2030, the share of AI compute, managed by companies outside the United States and China, will likely double from its current 10% of global capacity. Signaling this shift, AI and accelerated computing platform company NVIDIA predicts it will sell US$20 billion worth of AI chips for sovereign data center markets in 2025—an increase of 100% year over year.5
In September 2024, the European Union released the “Draghi report,” which outlined recommendations for improving overall European economic competitiveness.6 Part of the report focused on how to potentially advance its domestic tech sector and how the sector could improve innovation, technology adoption, and worker productivity. The report preceded the launch of the EuroStack Initiative—a call from over 200 European companies and organizations for “radical action” around increasing technology sovereignty.7 This included advocating for buying European, pooling and leveraging existing assets more effectively, focusing less on research and development and more on productization, ensuring adequate capital, and protecting data for European cloud users. Overall efforts of the European Commission are being led by a designated Commissioner for Technology Sovereignty. This continues a long history of the European Union seeking sovereignty in tech, believing that sovereign solutions are best suited for supporting the EU philosophy, values, and principles—embodied in frameworks such as the General Data Protection Regulation, the Digital Services Act, and the AI Act.
Initial fervor and expectations may have moderated somewhat since early 2025, as reflected in the recent EU International Digital Strategy, which is focused more on cooperation with other countries around AI, semiconductors, quantum computing, and cybersecurity.8 The debate on the best strategic approach to take is ongoing, but there’s likely to be over €100 billion in public and private investment for European cloud computing, AI data centers and companies, semiconductors, and satellite communications efforts over the next five years.
Local European cloud providers comprise a very small percentage (less than 20%) of the overall market.9 They would require significant investment and time to develop into true competition for global hyperscalers. What’s more likely to happen is that global players will increasingly provide European-specific adaptations of their capabilities. Amazon Web Services (AWS) announced that it will invest almost €8 billion in a European Sovereign Cloud located in Germany. Goals for the project include allowing customers to keep their data in the European Union, providing independence, and ensuring it is led, operated, secured, and governed by EU citizens.10 Microsoft has also announced a set of commitments to Europe—specifically around AI, cybersecurity, privacy, resiliency, and economic competitiveness—and a Microsoft Sovereign Cloud platform and solutions.11
There are several initiatives from both the government and commercial sectors looking to improve overall AI capabilities. The European Commission’s AI Continent Action Plan seeks to develop a series of AI factories and gigafactories across Europe, building on existing supercomputing infrastructure, and driving net-new investment through the InvestAI program.12 This program will make €20 billion available for up to five new AI gigafactories that will enable the creation of advanced, cutting-edge AI models known as “sovereign frontier models.” The Action Plan also looks to improve data availability for AI models, the use of AI applications, and skills and workforce development. On the commercial side, NVIDIA and Perplexity are teaming up to help train and make open-source, localized AI models widely available.13 NVIDIA is a backer, along with investment firm MGX, Mistral AI, and others, to create Europe’s largest AI data center by 2028 at a cost of €8.5 billion.14 There is also Stargate UK, a phased effort to build out AI infrastructure across the country and accelerate domestic AI adoption.15
Much like the United States, Europe wants to onshore more semiconductor manufacturing, strengthen the resilience of its supply chains, advance a stronger local ecosystem, and boost European companies. To that end, the EU Chips Act (2023) established a fund, pilot lines for experimentation, a collaborative design platform, and competency centers, and provides resources for quantum chips—€43 billion in total investment through 2030.16 There is already significant commercial investment happening, including a FinFET (field-effect transistor) pure-play foundry, a “Smart Power Fab,” and a silicon carbide chip manufacturing plant, among others.17
Another key initiative for Europe is building its own satellite communications constellations to reduce dependence on providers outside the bloc—ensuring secure and reliable services for military, government, and commercial applications. The two main efforts consist of the Infrastructure for Resilience, Interconnectivity and Security by Satellite (IRIS²) constellation and Eutelsat OneWeb. IRIS² will eventually consist of almost 300 satellites in multiple orbits at a cost of about €11 billion.18 Eutelsat is looking to accelerate its efforts to build out and enhance its OneWeb low earth orbit satellite internet constellation, which currently has more than 630 satellites in orbit.19 It recently received fresh investment from both the UK and French governments to make this happen.20 In an increasingly crowded and competitive market, it will take time (IRIS² completion is planned for 2031) and significantly more investment for both of these constellations to reach the point where they can effectively challenge current services and fully support European needs.21
Although Europe is driving a significant amount of technology sovereignty activity, other countries and geographic regions are pursuing their own unique and innovative approaches, with most of the efforts focused on AI. This isn’t meant to be comprehensive but rather to show the breadth and depth of global activity.
What happens if, as expected, most governments pursue robust technology sovereignty policies and programs in the near future? There are a variety of potential benefits to having greater control over end-to-end technological capabilities. These include economic ones such as greater tax revenue and private capital investment, better employment opportunities for citizens, and a greater chance for homegrown tech companies to flourish. By being more self-reliant, there is a belief that overall resiliency can be improved, privacy and security can be enhanced, and exposure to potential political disruption from foreign countries can be reduced. Additionally, when it comes to AI, if foundational models are created within a country, they can better reflect its local language, customs, and data sets.
We could also see challenges arise, such as:
In 2026, expect the drive for technology sovereignty to continue with more debate, government action, and investment activity. While the motivations and eventual outcomes of this drive are open to discussion, action is underway—and more will be taken—because many believe that the future prosperity of their countries and regional blocs is at stake.