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Race for sovereign AI

 “AI will transform every industry and create tremendous wealth.” - Kai-Fu Lee, AI expert 'Sovereign AI' and the push for independen...

 “AI will transform every industry and create tremendous wealth.” - Kai-Fu Lee, AI expert

'Sovereign AI' and the push for independence

Countries across the world are realizing that the top slots in AI race are now captured by China and the US, posing a real threat to individual sovereignty of others. Reducing reliance on the United States and China in artificial intelligence is thus a priority for many. This is driven by concerns that depending on foreign AI technologies could undermine national competitiveness and security, in coming years. The idea of sovereign AI is precisely this desire for domestic control over AI models, raw datasets and hardware that runs it all.

Sovereign AI as an insurance

South Korea became a leading example of this movement. With strong semiconductor and software expertise, the SK government tripled its AI budget and launched major public and private investments. The goal was to build domestic capacity in areas such as large language models, chipmaking and cloud infrastructure, ensuring that the country can innovate on its own terms. Perhaps the Koreans were clear in their mind: be friends with the US, but not dependants.

Localised AI ecosystems

Many other nations including France, Germany, the United Arab Emirates and Saudi Arabia are now investing heavily in sovereign AI platforms. Their goals range from protecting local data to securing independent computing infrastructure. The U.K. and India have announced initiatives to support startups and build national AI models, while the Middle East is rapidly expanding its AI capabilities with large-scale hardware procurement.

Industry role in sovereign AI

Big tech firms such as Nvidia find sovereign AI as a major global trend, noting that countries want to store, process and manage their own data. Korean companies like Naver and Kakao have already rolled out homegrown language models, and new chip startups hope to provide cheaper alternatives to imported GPUs.

Building self-reliant AI

Despite the momentum, achieving full AI autonomy requires vast investment, skilled talent and access to advanced hardware. Countries also face geopolitical constraints, especially when semiconductor exports and cloud infrastructure are heavily influenced by U.S. policies. Even so, many view sovereign AI as essential for long term resilience.

Summary

Countries worldwide are racing to build sovereign AI capabilities to reduce dependence on the U.S. and China. Major investments in chips, models and infrastructure show a shift toward national control of AI systems, driven by security concerns, economic ambitions and the desire for technological self-reliance.

Food for thought

If every nation builds its own AI stack, will global collaboration become stronger or weaker?

AI concept to learn: Sovereign AI

Sovereign AI refers to a nation’s ability to build, train and operate AI systems using its own infrastructure and data. It focuses on maintaining control over critical technologies and reducing reliance on foreign hardware or models. Beginners should see it as the intersection of technology, governance and national strategy.

Sovereign AI race

[The Billion Hopes Research Team shares the latest AI updates for learning and awareness. Various sources are used. All copyrights acknowledged. This is not a professional, financial, personal or medical advice. Please consult domain experts before making decisions. Feedback welcome!]

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