Mistral AI, one of Europe’s leading artificial intelligence companies, has published a detailed policy playbook calling on European governments and institutions to take urgent action to build a self-reliant AI ecosystem. Arthur Mensch, co-founder and CEO of Mistral AI, warns that without decisive steps, Europe faces economic decline, reduced strategic influence, and growing dependence on foreign technology providers.
The document covers four main areas: attracting and retaining AI talent, scaling companies across the single market, driving AI adoption in the real economy, and building European-controlled digital infrastructure.
On talent, the playbook highlights that 40% of EU companies already struggle to hire AI specialists. To address this, Mistral proposes a new “AI Blue Card,” a fast-track visa valid across all EU member states, processed within 15 working days through a unified digital portal. The visa would last four years and cover immediate family members. Additional proposals include structured partnerships between universities and AI companies, a pan-European network of applied research institutes, and compute access for graduate students at leading European universities.
The paper is frank about Europe’s scaling problem. Less than 10% of the world’s unicorn companies are based in the EU, and a third of those have already moved their headquarters abroad. Europe attracts only 5% of global venture capital, compared to 52% for the United States and around 40% for China. Mistral proposes a range of remedies, including a unified corporate registry, a cross-border banking passport for businesses, harmonised employee share ownership rules, and a new investment label for funds focused on AI and deep-tech companies.
A central argument is that public procurement, worth around two trillion euros annually across Europe, should actively favour European AI solutions. Currently, only 20% of EU enterprises use AI, and more than 80% of Europe’s digital infrastructure depends on non-European providers. The playbook calls for EU institutions to lead by example, adopt homegrown AI tools, and create a streamlined digital procurement gateway that opens public contracts to startups and smaller companies.
On infrastructure, the document stresses that modern AI models require power densities of 100 kilowatts per rack or more, far beyond what traditional data centres can provide. Mistral argues that Europe must invest in high-performance, European-owned computing infrastructure, aligned with the continent’s climate goals through low-carbon energy sources such as nuclear, wind, and solar power. The company recommends long-term government commitments to purchase computing capacity from European providers and calls for faster permitting and grid connections for advanced data centres.
Mensch frames the moment as both a warning and an opportunity. He argues that Europe’s diversity, its large single market, and its academic strength are genuine competitive assets, but only if fragmentation is reduced and action is taken at speed. The playbook is explicitly presented not as a theoretical exercise but as a set of concrete, implementable measures drawn from Mistral’s own experience building a frontier AI company within Europe.
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