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AI Sovereignty Goals Clash With Global Realities

Artificial intelligence – MIT Technology Review •
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Governments plan to pour $1.3 trillion into AI infrastructure by 2030, seeking 'sovereign AI' control over data centers, models, and supply chains. This push responds to geopolitical shocks like pandemic disruptions and war. Yet true autonomy faces hard limits, as chip design, model training, and deployment remain irreducibly global.

European surveys show 62% of firms seek sovereign solutions, driven by anxiety. The EU has a Tech Sovereignty Commissioner, and the US sees AI data centers fuel GDP growth. But money alone isn't the barrier; energy grids and talent shortages are. Building massive infrastructure requires immense power, and skilled workers flock to dynamic hubs, not just new facilities.

The path forward isn't isolation but orchestrated specialization. Singapore excels in governance and logistics AI; Israel leverages startup density; South Korea's Samsung and Naver partner with Microsoft and Nvidia. Even China relies on foreign lithography equipment. Nations that choose strategic partnerships over self-reliance gain agility and influence, shaping global standards rather than duplicating them alone.