EU cloud sovereignty framework favors US over EU clouds (twitter.com)

🤖 AI Summary
The EU’s new cloud sovereignty framework — designed to give European organisations control over data, compliance and infrastructure — is being criticized for unintentionally favouring large U.S. hyperscalers over smaller EU providers. Though the rules emphasize certification, contractual guarantees, auditability, data-locality controls and legal clarity to protect sensitive data and meet GDPR/Schrems requirements, critics say those exact demands advantage providers with global scale, deep compliance teams, and the ability to offer cross‑border legal commitments and high‑end GPU/AI infrastructure. For the AI/ML community this matters because cloud choice shapes where models are trained, how data is governed, and who supplies specialized compute (GPUs, TPUs, managed ML services). If the framework drives customers toward a handful of U.S. clouds, it could deepen vendor lock‑in, centralize access to large-scale training fleets and datasets, and slow growth of a diverse European AI stack. Technically, the framework’s emphasis on certified security controls, transparent audit trails, enforceable contractual terms and operational independence is sensible for risk reduction — but its implementation risks privileging vendors that already provide those enterprise-grade features rather than nurturing smaller regional competitors. The outcome will influence not only compliance and national security debates but also the competitive landscape for AI infrastructure and innovation in Europe.
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