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AI Now Institute proposes four policy directions to counter the dependence of European AI on US companies

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An analysis by AI Now Institute argues that value from European AI projects continues to flow to US AI labs and hyperscalers, and proposes four policy directions in place of the current EU market strategy (gigafactories, VC investments, deregulation).

An analysis published in collaboration with AI Now Institute, authored by Frederike Kaltheuner (an adviser to governments and institutions on AI industrial policy and sovereignty, formerly a special adviser to the Vice-President of the European Commission) and Leevi Saari (a doctoral candidate at University of Amsterdam and EU Policy Fellow at AI Now Institute), builds on earlier installments in a series on the European AI ecosystem. According to the authors, the European AI ecosystem remains exposed to the “gravitational pull” of dominant US players – even where European AI companies succeed, they argue that value still flows toward US AI labs and ultimately to hyperscalers, which are both indispensable infrastructure providers for Europe and its competitors.

The authors criticize the fact that the response from Brussels has so far relied primarily on market instruments – co-funding so-called gigafactories, supporting consortia building models, channeling institutional savings into venture capital and growth equity, alongside deregulation and the easing of labor law restrictions. According to the text, this strategy aims to replicate the dynamics of Sillicon Valley, where successful startups generate exits and those exits feed capital and experienced people back into the ecosystem.

The authors say they do not have “one magic solution”, but propose four distinct directions for thinking: take market uncertainty seriously, actively shape the market toward greater openness, competition and interoperability, address cloud dependence and AI sovereignty as one and the same problem, and finally clearly define what AI is actually meant to serve.

The text available for analysis is part of a longer three-part series and does not contain a detailed elaboration of each of the four proposals. Details can be found in the source article.

What changed

Why it matters

The text is aimed primarily at policymakers in the EU and institutions making decisions on AI industrial policy – it offers a framework for reassessing the current EU strategy, which, according to the authors, does not address the problem of structural dependence. For companies in the European AI sector, the argument that cloud dependence and technological sovereignty are interconnected is particularly relevant, as this may affect future regulation and the conditions for funding AI projects in Europe.

Relevant practical impact

What this means

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For a business

According to the analysis, companies operating in the European AI ecosystem remain structurally dependent on US cloud infrastructure and AI labs, which is a relevant risk when planning long-term strategy and infrastructure costs.

Risks and compliance
What to decide Consider assessing the extent to which your own AI infrastructure depends on US cloud and AI providers.
More business impacts →
AI regulation AI sovereignty cloud infrastructure EU politics gigafactory competition

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Event sources

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AI Now Institute research source · first detected How Europe Can Escape a Captured AI Ecosystem