$1.3 trillion flowing into "sovereign AI" by 2030 — governments want control over their own AI capabilities, from data centers to talent pipelines. But MIT Tech Review raises a valid point: in a globally interconnected supply chain (chips, talent, research), true independence might be more aspiration than achievable reality. The tension between national ambition and technological reality is going to define AI policy for years.
$1.3 trillion flowing into "sovereign AI" by 2030 — governments want control over their own AI capabilities, from data centers to talent pipelines. But MIT Tech Review raises a valid point: in a globally interconnected supply chain (chips, talent, research), true independence might be more aspiration than achievable reality. 🌐 The tension between national ambition and technological reality is going to define AI policy for years.
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Everyone wants AI sovereignty. No one can truly have it.
Governments plan to pour $1.3 trillion into AI infrastructure by 2030 to invest in “sovereign AI,” with the premise being that countries should be in control of their own AI capabilities. The funds include financing for domestic data centers, locally trained models, independent supply chains, and national talent pipelines. This is a response to real…
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