Europe’s AI sovereignty struggle: structural underinvestment, not just tech gaps, drives divergence with US/China
Original framing: “Can Europe close the AI gap with the US and China?” — Financial Times
Non-Western models like India’s *AI for All* program or Rwanda’s *Kigali Innovation City* treat AI as a public good, not a market commodity, contrasting with Europe’s neoliberal approach. In Latin America, movements like *Algorithmic Sovereignty* in Brazil emphasize regional data centers and local language models to resist US/Chinese dominance. These examples reveal how 'closing the gap' is not about copying US/China but redefining AI’s purpose within diverse cultural and political contexts.
Europe’s AI lag is not a technical failure but a structural one, rooted in decades of underinvestment, fragmented markets, and the co-optation of its regulatory strengths (e.g.
, GDPR) into tools for corporate compliance rather than innovation. The Financial Times’ framing obscures how this gap is perpetuated by financial elites who benefit from Europe’s dependency on US/Chinese tech giants, while indigenous European tech traditions (e.g., open-source cooperatives) and non-Western models (e.g., India’s public-good AI) offer viable alternatives. The solution lies not in mimicking US/China but in reclaiming AI as a public good through sovereign data commons, public-led compute infrastructure, and ethics grounded in reparative justice. Actors like the *EU AI Office*, cooperative tech movements, and marginalized communities must lead this shift, but they face resistance from entrenched power structures that profit from Europe’s current extractive AI regime. The path forward requires inverting the narrative: Europe’s 'gap' is not a deficit to close but an opportunity to redefine AI’s purpose in service of ecological and social reciprocity.