AI Sovereignty — Brookings: Full-Stack Independence is Structurally Infeasible #
- Is AI sovereignty possible? Balancing autonomy and interdependence (Brookings Institution, 2026-02) — Core finding: full-stack AI sovereignty is structurally infeasible for almost any country — AI is a transnational stack with concentrated chokepoints across minerals, energy, compute hardware, networks, and digital infrastructure. Proposed alternative: “managed interdependence” — map dependencies by layer, diversify suppliers, embed interoperability through technical standards and procurement. India’s digital public infrastructure approach cited as the pragmatic model.
- What national AI plans get wrong and how to fix them (Brookings Institution) — Complementary piece: national AI plans systematically underestimate infrastructure dependencies and overestimate the portability of model capability. The governance gap in national plans mirrors the governance gap in enterprise agentic AI tracked in vibe-coding.
OpenAI Frontier Governance Framework #
- OpenAI Frontier Governance Framework (OpenAI) — OpenAI’s public framework for frontier AI governance: voluntary commitments on safety testing, model evaluations, and coordination mechanisms. Positioned as an alternative to mandatory regulatory frameworks. As the closed-lab incumbent facing the most regulatory pressure, OpenAI publishing a voluntary governance framework signals that industry-preferred regulation is self-regulation — arriving simultaneously with the Colorado mandatory framework retreat.
Cross-links #
- AI Impact on Society Brookings’ “managed interdependence” conclusion directly undermines sovereign AI spending narratives — the infrastructure dependencies mean the spending achieves dependence management, not independence. Pairs with Colorado regulatory retreat.
- Data, IP & Training Rights The TRAIN Act compliance asymmetry (closed labs easier to subpoena than distributed open-weight developers) is a governance argument for closed models — Brookings’ framework would recognise this as a chokepoint that enables accountability.
- Emerging pattern: The sovereignty narrative is softening from “independence” to “managed interdependence” in academic discourse (Brookings), even as it remains politically appealing. The gap between political discourse and technical reality is structural — governments will keep spending on “AI sovereignty” programmes that achieve at most dependency management.
- Quality signal: Brookings is the highest-credibility source on this topic for US policy audiences. The feasibility conclusion is clear and grounded in layer-by-layer dependency analysis. This is the reference citation when the sovereignty claim is challenged.