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If the most important technology of the century was being built in just three countries, most governments would find that uncomfortable (to say the least). And that’s the reality with AI to date – the models that will influence our future are concentrated in a handful of regions, and the infrastructure required to build them is even more exclusive.

So around the world, countries are making a decision: instead of just having access to AI, they want a stake in creating it.

From Saudi Arabia and the UAE to Singapore and India, governments are investing billions into AI infrastructure, talent, research and sovereign capabilities. They're building data centres, funding local models, developing national strategies and competing to attract the researchers who will shape the next generation of AI.

As a result, the AI map is starting to expand. 

The US still dominates – but that’s not the whole story 

Let’s start with the numbers. 

According to the Stanford AI Index 2025, the US attracted $109.1 billion in private AI investment during 2024. That's nearly twelve times more than China and twenty-four times more than the UK.

The US also produced 40 notable AI models last year, compared with 15 from China and three from Europe.

Those figures show that the centre of AI development has stayed in the same place. 

But Stanford's researchers point to another trend that’s just as important. Significant AI activity is increasingly emerging from regions including the Middle East, Southeast Asia and Latin America.

This isn’t an argument about the US losing its influence. It’s a story about more countries deciding they want to participate in creating the future – rather than just consuming it. 

The rise of sovereign AI

The phrase ‘sovereign AI’ is appearing more frequently in policy circles. Researchers at Cambridge University define it as the ability of nations to develop and maintain independent AI capabilities instead of relying entirely on foreign-controlled systems or multinational corporations.

Think about energy. Most countries wouldn't want to rely completely on another nation for electricity. Now, governments are beginning to view AI in a similar way – because the technology is becoming too important to leave entirely in someone else's hands.

That's helping to drive a wave of investment around the world. Stanford reports that governments are committing vast sums to AI infrastructure and capability-building. France has announced €109 billion in AI investment, India has pledged approximately $1.25 billion, China has launched a $47.5 billion semiconductor fund, and Saudi Arabia's Project Transcendence represents a reported $100 billion commitment to AI and advanced technologies. 

New hubs are emerging 

This shift is most visible in emerging AI ecosystems. According to the Oxford Insights Government AI Readiness Index 2025, Saudi Arabia ranks 15th globally for AI readiness, while the UAE ranks 19th. The report highlights significant investment in infrastructure, talent development and public-sector adoption across the region.

Singapore offers another valuable example. Oxford ranks the country fourth globally for AI infrastructure and seventh for public-sector AI adoption. At the same time, researchers are developing models designed specifically for Southeast Asian languages and cultures, including a Singapore-backed initiative to create large language models tailored to the region. 

And India is pursuing a similar strategy. Through initiatives such as BharatGen and major investments in national AI infrastructure, the country is working to ensure that AI development reflects its own linguistic diversity, economic priorities and talent base.

These efforts look different on the surface, but they’re all responding to the same question: 

Who gets to have real influence over the future of AI? 

Building an ecosystem is key  

Building an AI ecosystem isn’t something countries are doing for the prestige, or just…to say they’re involved. 

It affects:

• Where talent goes
• Where startups emerge
• Which languages are represented in training data
• Which industries receive investment

And ultimately, who benefits from the economic value AI creates.

Researchers at GIGA Institute for Global and Area Studies argue that AI is increasingly becoming a matter of national competitiveness and strategic autonomy, with governments placing greater emphasis on sovereignty and technological independence.

But there is another possibility. A more geographically distributed AI landscape could make innovation more representative of the world it serves.

Instead of a handful of hubs shaping AI for everyone else, we may see more regions contributing their own expertise, perspectives and solutions.

The future of AI may still have its giants – but it’ll also have more diverse contributors and influences. 

And that could make the next chapter of AI far more interesting than the last.

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