Sovereign AI: Building national capability while preserving choice

Sovereign AI has moved rapidly from policy discussion into practical decisions about technology, infrastructure and skills. According to the CNAS Sovereign AI Index, by mid-2026, governments across 67 countries were backing 184 sovereign AI projects spanning compute infrastructure, models and data.

These countries are expanding sovereign AI projects across common themes: semiconductor expertise, compute capacity, domestic technology industries and AI deployment across public services and industry.

Economic growth, security, technological resilience and specialized use cases are all factors driving this focus from governments. To deliver on this, countries need the technology, skills and systems to build AI capabilities that reflect their own priorities, give them greater control over how AI is developed and deployed, and allow them to continue innovating as priorities evolve. 

At Arm, we see sovereign AI as a nation’s ability to develop, deploy, and govern a trusted AI ecosystem in line with its own priorities. Achieving that requires five core principles:

• A broad, collaborative ecosystem
• Partner choice and flexibility
• Proven global foundation
• Scalable compute
• Power-efficient computing

Together, these can help countries build AI capacity on their own terms, strengthening local industries and skills while preserving the flexibility to adopt new technologies as AI evolves.

The importance of a broad, collaborative ecosystem, partner choice and flexibility

Sovereign AI strategies require choices about what to build, where to differentiate and which technology partners can support national priorities over time.

AI development connects semiconductor companies, cloud providers, software developers, system companies, researchers and infrastructure operators around the world. A broad ecosystem connects governments and local industries with technology partners and expertise, helping them decide where local investment and differentiation create the greatest value.

Arm’s ecosystem supports multiple development paths on a common compute architecture. Arm offers multiple ways for customers to build from the ground up, use Arm Compute Subsystems (CSS) to accelerate the path to differentiated custom silicon, or deploy production-ready Arm silicon.

Read more about the expansion of the Arm compute platform

Arm Flexible Access opens another route for companies exploring new designs, with access to Arm IP, tools and training during development. As of June 2026, more than 300 active members worldwide had used the program, with members completing more than 400 tape-outs.

These development paths provide multiple ways to grow domestic technology capability. Local companies and research organizations can choose how much of the silicon stack they develop themselves, where they concentrate engineering sources and how their approach evolves as expertise and national priorities develop.

Building on the common Arm architecture enables companies to evolve their solutions, adopt new technologies and differentiate over time, while protecting existing investments in software and engineering.

Building local capability on a proven, scalable compute foundation  

Infrastructure investment creates lasting value when countries also develop the engineers, developers and technicians who can build products and services on top of it.

This is why building on a proven compute foundation can accelerate local innovation and economic growth. More than 350 billion Arm-based chips have been shipped to date, and more than 22 million developers worldwide build on the Arm compute platform.

For governments investing in skills and domestic industry, that scale has practical value. Engineers can develop expertise on a widely adopted architecture, local companies can build on an established software ecosystem, and those skills can carry across successive generations of Arm-based technology.

The same foundation also supports national AI strategies as they expand. As the Arm compute platform spans cloud, edge, and physical AI, software, tools and engineering expertise can carry across different deployment environments. Countries can also introduce new workloads and systems while preserving earlier investment in skills and development.

Power efficiency expands the AI capacity countries can deploy

Power availability, cooling, physical space, and operating costs shape the scale of AI infrastructure that countries can build and operate.

Performance per watt directly affects how much useful compute can be delivered within available energy and infrastructure. As national AI programs expand, power efficiency influences both the scale of deployable compute and the long-term cost of operating it.

Arm has focused on power-efficient computing for more than three decades. Across cloud infrastructure, edge systems and devices, higher performance per watt helps organizations make more effective use of available energy and infrastructure.

At national scale, this gives governments more room to grow AI capacity within existing power, infrastructure and economic constraints. Efficient compute can also extend the value of data center investment, support AI deployment across a wider range of systems and help countries scale AI infrastructure more efficiently as demand grows.

Keeping pace with the next wave of AI innovation

AI will continue to introduce new models, systems and ways to deploy compute. Sovereign AI strategies need technology foundations that can support those changes while carrying forward investments in software, skills, and engineering.

That means the technology choices made today will shape how readily countries can adopt what comes next. Arm brings together an open ecosystem, multiple development paths, a widely adopted compute architecture, scalability from cloud to edge and physical AI, and power-efficient computing.  

This in turn gives countries greater choice across the technology stack as they build on sovereign AI capabilities and existing domestic strengths. The opportunity now is to build on a proven compute foundation together and create an AI ecosystem that expands innovation and choice.