“The challenge is not building smarter machines, but ensuring those machines serve the right masters.” — Nick Bostrom, philosopher and author of Superintelligence
Sovereign AI: balancing control and capability
As artificial intelligence becomes essential across industries, nations are striving for greater control over its foundations. The goal of “sovereign AI” is to ensure national independence from foreign tech influence, especially as global AI tools shape language, data, and cultural values.
The ambition and the challenge
Building a homegrown foundation model is an enormous task. It requires billions of dollars, top engineering talent, and high-end chips resources that only a handful of global giants like OpenAI, Google, or DeepSeek possess. For most smaller nations, this effort risks becoming more symbolic than strategic.
The case of Mongolia’s AI journey
Mongolia’s Egune AI, led by Badralsanlig, highlights the struggle. His team built a Mongolian-language AI after finding foreign chatbots ill-suited to local nuances. Despite progress, growth has been constrained by limited funding and access to chips from Nvidia. The dream of a truly national AI remains distant but not impossible.
The global winners of local efforts
Ironically, the biggest winners of sovereign AI pushes may be foreign chipmakers. Nvidia and other suppliers benefit from the surge in demand for data centers across nations seeking autonomy. In essence, sovereign AI may deepen dependence on the very companies it seeks to escape.
A smarter approach to sovereignty
Experts suggest focusing on AI deployment rather than building foundational models. Countries can gain more by applying AI effectively in health, finance, and governance than by replicating what global leaders already dominate.

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