Mistral AI 发布欧洲 AI 战略指南，针对欧洲如何在全球人工智能竞争中建立技术主权、掌握发展主动权提供系统性方案与实施路径。
原文 · 未翻译
European AI A playbook to own it.
European AI
A playbook
to own it.
Europe holds unique strengths: a world-class academic ecosystem, a commitment to human-centric technology, and a single market of +450 million people. The question is no longer whether Europe can compete, but how it can turn these assets into a cohesive, self-reliant AI powerhouse.
Reading 52 minutes
Published April 7, 2026
By Mistral AI
A word from the CEO
Europe has faced a growing technological gap, leaving its citizens, businesses, and governments increasingly reliant on foreign dominance. The cost is high: a diminished voice on the global stage, reduced control over the European future, and vulnerability to digital threats. Without action, we risk surveillance threats, economic decline, strategic weakness, and even the erosion of our democratic freedoms. But this challenge is also Europe’s greatest opportunity.
The AI revolution has started and is a chance to not only catch up but to lead and define our own paths.
Europe is home to a vibrant pool of untapped talent and industrial champions whose unique assets can push the boundaries of what AI can achieve. The competition from the U.S. and China is fierce, but Europe is not a market to be dominated, it is a powerhouse of innovation, creativity, and resilience.
The question is not whether we can compete, but how we will rise to the occasion. AI can be the tool that secures our autonomy, strengthens our strategic sectors, increases our economic wealth and amplifies our global influence. To seize this moment, we must act decisively. We need to drive demand for homegrown AI, secure strategic sectors, and empower European players. Controlling our AI and infrastructure is not optional, it’s the only way to win the AI race. So now is the time to act: grow our talent pool and bring our best minds back to Europe, scale our innovative companies across all 27 Member States, and turn our diversity into a competitive edge by compressing knowledge and building AI that reflects the world’s complexity.
Europe’s AI ecosystem is brimming with potential. By fostering an environment that nurtures growth, we can transform challenges into opportunities and reclaim our future. The race is on, and Europe should be ready to win it.
Arthur Mensch
Co-founder & CEO of Mistral AI
Introduction
Europe holds unique strengths: a world-class academic ecosystem, a commitment to human-centric technology, and a single market of over 450 million people.
Mistral AI 发布欧洲 AI 战略指南，针对欧洲如何在全球人工智能竞争中建立技术主权、掌握发展主动权提供系统性方案与实施路径。
原文 · 保持原样，未翻译
European AI A playbook to own it.
European AI
A playbook
to own it.
Europe holds unique strengths: a world-class academic ecosystem, a commitment to human-centric technology, and a single market of +450 million people. The question is no longer whether Europe can compete, but how it can turn these assets into a cohesive, self-reliant AI powerhouse.
Reading 52 minutes
Published April 7, 2026
By Mistral AI
A word from the CEO
Europe has faced a growing technological gap, leaving its citizens, businesses, and governments increasingly reliant on foreign dominance. The cost is high: a diminished voice on the global stage, reduced control over the European future, and vulnerability to digital threats. Without action, we risk surveillance threats, economic decline, strategic weakness, and even the erosion of our democratic freedoms. But this challenge is also Europe’s greatest opportunity.
The question is no longer whether Europe can compete, but how it can turn these assets into a cohesive, self-reliant AI powerhouse.
This playbook provides a clear, actionable framework to position Europe as that powerhouse, accelerating AI development and adoption, attracting and retaining top talent, simplifying regulation without sacrificing values, and mobilizing public and private investment to build homegrown AI infrastructure. Only with it, Europe can ensure AI is not only developed in Europe, but for Europe and on Europe’s terms.
This document is not a theoretical exercise. It is a practical playbook, born from the lived experience of a European AI startup, Mistral AI, navigating one of the world’s most competitive, fast and capital-intensive industries. We have experienced misaligned equity frameworks, bureaucratic barriers that require the CEO to travel for basic administrative tasks, and legal uncertainty that complicates contracts and customer relationships. We have seen how regulatory overlaps create legal quagmires, how fragmented markets hinder growth, and how talent slips away due to administrative friction.
This document is a call to turn Europe’s strengths into scalable, competitive advantage. It is grounded in the urgency of the moment and the conviction that Europe can and must build an AI ecosystem that reflects its values, serves its citizens, and competes globally. It is our collective duty to ensure AI can also be developed in Europe on terms that aligns with our priorities as Europeans.
These challenges shaped our approach and led us to agree on three key principles to unlock Europe’s AI potential:
Action over theory: Every recommendation, from visa reform to procurement gateways, is designed to be implemented, measured, and scaled.
Unity in complexity: Europe's diversity is its strength, but its fragmentation is its Achilles' heel. This paper embraces the complexity of the EU's structure while offering solutions to align markets, reduce redundancy, and accelerate decision-making.
Speed is not an option: We propose fast-track mechanisms for talent, capital, and compliance, so Europe's innovators aren't left behind.
At Mistral AI, we’ve built a frontier AI company in Europe because we believe in its potential.
This playbook is our contribution to ensuring that potential becomes reality, not just for us, but for the entire ecosystem.
Attract it
I.
Attract and retain talent
II.
Scale: Unleash the full potential of the Single Market
III.
Adopt European AI across the real economy
IV.
Power Europe with local infrastructure and data
I. Attract and retain talent
The most transformative advancements in AI, those that push the boundaries of what is possible, are driven by human genius, scientific curiosity, and the relentless pursuit of knowledge. Beyond the algorithms and computational power, AI’s potential lies in its ability to serve human intelligence, ensuring that technology remains a tool that addresses greater needs.
This human-centric approach is not a philosophical ideal, but a practical necessity. AI systems that are truly innovative and beneficial to society will always require human oversight, creativity, and judgment at their core. their core.
40%
EU companies report difficulties hiring AI talent.
As a consequence, the global competition for AI talent is fierce. The scarcity of highly skilled professionals in computer science, machine learning, and related fields has turned talent into the most critical resource in the AI race. These experts operate in a global, hyper-competitive market, where other regions are attracting talent thanks to faster relocation processes, higher salaries, and dynamic career opportunities.
Fortunately, our continent is home to a vibrant AI academic ecosystem, from world-class universities to cutting-edge research institutions. The foundations are here but the full potential must now be realized.
This requires deeper collaboration between academia and industry, ensuring that research excellence translates directly into innovation, and in general continent-wide measures that ease relocation, simplify administrative procedures, and secure long-term conditions for talent to thrive. The goal should be clear for Europe: becoming the premier destination for global AI experts, a place where talent is not just attracted but nurtured, retained, and empowered to push the boundaries of what AI can achieve.
As competing regions become less open or predictable, Europe has a unique opportunity to position itself as a global hub for AI research and development and address its shortage of highly skilled AI talent.
The future of AI will be first shaped by those who invest in talent today.
Measures
EU AI talent visa
Establish a "AI Blue Card", a fast-track visa process enabling AI and compute researchers, engineers, and entrepreneurs, along with their immediate families (spouses/partners and dependent children under 18), to obtain a 4-year work and residency permit valid across all EU Member States. The visa would be processed in 15 working days via a unified digital portal, with possible renewability and portability between Member States.
Develop deeper and more systematic partnerships between European universities and AI companies
Build deep, structured collaboration between academia and the AI industry to turn Europe’s research excellence into industrial innovation.
EU AI innovation institutes network
Create a pan-European network of applied AI research institutes to boost industry-oriented innovation, modeled after Fraunhofer and Carnot, to accelerate AI adoption. These multidisciplinary centres would collaborate with companies of all sizes through R&D contracts on industry-relevant AI projects, enabling joint participation in bilateral research initiatives and supporting the diffusion of AI innovation across Europe’s industrial ecosystem.
EU AI talent mobility initiative
With 40% of EU companies struggling to hire AI talent, the EU must establish a comprehensive AI talent mobility initiative to enable large-scale, structured mobility across the AI talent lifecycle, from graduates to senior academics and industry experts.
Empower AI students
Provide compute to a selected pool of leading European universities in computing science for their Msc and Phd graduate programs, via university-managed allocation portals. Access should be dynamic and curiosity-driven, with a fair-use cap to ensure broad availability while still enabling compute-intensive projects.
II. Scale: Unleash the full potential of the Single Market
Europe stands at a critical juncture, facing not just a challenge of scale but a deeper crisis of acceleration. More than 50% of the world's unicorns are based in the U.S., compared to less than 10% in the EU, a third of which have already relocated their headquarters abroad, predominantly to the U.S.
This is not merely a disparity in numbers; it reflects a systemic failure where European startups, despite their potential, are forced to seek growth opportunities elsewhere. The issue runs deeper than funding gaps or market size.
It’s about an ecosystem that doesn’t let its most promising companies flourish at home.
50%
of the world's unicorns are based in the U.S.
10%
Less than 10% in the EU.
5%
Europe accounts for just 5% of global venture capital funds
52%
for the U.S.
40%
for China
The fragmentation of Europe’s single market into 27 distinct regulatory landscapes creates an environment where expanding from Berlin to Paris can feel more complex than entering the entire U.S. market.
Additionally, Europe accounts for just 5% of global venture capital funds, compared to 52% for the U.S. and around 40% for China. As a result, European startups grow slower, exit earlier, and too often end up acquired by non-European companies or relocate entirely to access larger markets and simpler regulations.
This represents a double loss for Europe. First, we fail to cultivate homegrown tech leaders that could drive innovation, create jobs, and generate wealth across the single market. Second, and more critically, we surrender our most promising companies to other competing regions in the world, reinforcing U.S. and China dominance in the very sectors where Europe could be leading.
The solution demands a fundamental shift in how Europe supports its scale-ups. We need more harmonization to unleash the full potential of the single market, we need to create financial mechanisms that can help fill the funding gap, and, perhaps most importantly, change the narrative that scaling in Europe is impossible.
The single market remains Europe’s greatest competitive asset, but it must evolve to better enable our companies to scale and compete globally. It’s time to unlock its full potential
Measures
Streamline the EU digital regulatory framework
Leverage the current momentum for simplification to streamline the EU digital regulatory framework. The complex EU digital regulatory framework should be revised to clarify inconsistencies, eliminate overlaps, and reduce compliance efforts without sacrificing underlying regulatory goals.
EU AI compliance portal
Create a centralized, multilingual digital portal for AI developers to generate standardized reports, access real-time guidance, and automate compliance checks across the AI Act and GDPR, drawing on the European Single Access Point (ESAP).
A single registry for automatic recognition of corporate acts
Establish a regulation-based unified, digital-first system for the automatic recognition of corporate acts across all EU Member States, eliminating bureaucratic barriers and legal uncertainty for companies scaling within the Single Market.
EU corporate banking passport
Create an EU corporate banking passport via the European Digital Identity Wallet to grant all EU-based companies a right to a basic payment account and a harmonized, digital-first KYC passporting scheme.
EU ESOP alignment framework
Invite Member States to adopt a flexible, subsidiarity-compliant ESOP Alignment Framework to align taxation event at sale, while respecting national tax rates.
SIU Passport and Hub
Create a SIU Passport by extending the European Commission’s Q4 2025 proposal on savings and investments union (SIU) allowing companies to raise capital in any EU Member State without refiling documentation.
European Single Access Point (ESAP)
Extend the European Single Access Point (ESAP) to corporate filings and investors search with a centralized digital platform, the SIU Hub, for corporate filings, enabling companies to submit prospectuses, financial reports, and compliance documents once and have them automatically recognized and distributed across all EU national regulators.
Create an AI EuVECA Label
An AI EuVECA Label would be a certified designation for qualifying funds that commit a minimum percentage of their investments to AI and deep-tech companies.
Leveraging prudential frameworks to support EU’s AI innovation agenda
As the European Union implements the 2024 Solvency II reform and advances the IORP II review, policymakers should ensure that prudential and investment frameworks actively support long-term equity investments in strategic sectors such as artificial intelligence.
III. Adopt European AI across the real economy
Artificial intelligence is not an abstract promise. It is a tool that fulfills its potential when embedded in the real economy. The most advanced algorithms, the most powerful models, are meaningless if they remain confined to labs or siloed in superficial applications. AI’s true value emerges when it is deployed at scale, solving concrete challenges, whether in the most complex industrial use cases or the daily operations of SMEs.
The opportunity is even bigger considering that embedding AI in a real-world context is not just a matter of technological deployment; but can trigger a virtuous cycle of demand and supply. Every new adoption refines the technology, every real-world application accelerates research, and every successful deployment attracts more investment. In short: adoption doesn’t just follow innovation, it drives it.
The equation is simple: more adoption today means better AI tomorrow and so on.
20%
of EU enterprises have adopted AI.
€2 Trillion
is the annual value of public procurement in Europe - a major lever for innovation.
However, Europe faces a stark reality: only 20% of EU enterprises have adopted AI, and a mere 11% of SMEs are leveraging its potential. Worse still, over 80% of our digital infrastructure remains dependent on non-EU providers.
This leaves us vulnerable to extra-territorial controls that threaten strategic autonomy and could disrupt the seamless deployment of AI technologies across the continent.
Without rapid, large-scale adoption, Europe’s AI ecosystem faces stagnation, deprived of the market signals that guide investment and the real-world use cases that refine technology.
To address this issue, the solution requires a three-pronged strategy:
First, public procurement must become a market-shaping tool. By mandating European AI solutions in government contracts, we send a clear signal that homegrown technology is the best option.
Second, we must remove barriers for SMEs, ensuring that even the smallest firms can access, adopt, and benefit from AI through subsidies, training, and simplified procurement processes.
Third, we need strategic incentives to accelerate private-sector adoption, from tax credits for companies committing to European solutions to compute vouchers that offset upfront costs.
This is not about adoption for adoption’s sake. It is about ensuring that Europe’s digital transformation goes fast enough and is powered by European technology, on European terms.
Measures
EU institutions lead by example in AI-enhanced public administration
Position EU institutions as global leaders in AI-enhanced governance by adopting European AI solutions, demonstrating how public administration can be smarter, faster, and more citizen-centric through homegrown innovation.
Create a fully integrated EU Digital Procurement Gateway
This measure aims to remove barriers for SMEs, scale-ups, and innovative companies, ensuring transparent, efficient, and inclusive access to public contracts across the Single Market.
Establish a targeted European preference mechanism in public procurement for strategic sectors
Establish a targeted European preference mechanism in public procurement for strategic sectors, using public spending to strengthen technological autonomy, economic security, and industrial competitiveness.
Integration of environmental criteria in public procurement
Establish a sustainability reporting and incentive framework requiring all AI providers operating in the EU with annual revenues exceeding €500 million to submit standardized, third-party-verified life-cycle assessments covering the full life cycle of their AI systems as a prerequisite for eligibility for public procurement contracts.
IV. Power Europe with local infrastructure and data
While the continent has made significant strides in AI research and regulation, its infrastructure, the backbone of AI development, remains a weak point. Traditional data centers, designed for general-purpose cloud computing, are ill-equipped to handle the demands of frontier AI models, which require ultra-dense, high-performance compute infrastructure.
Without this infrastructure, Europe risks falling further behind the United States and Asia, deepening its dependency on non-European hyperscalers for everything from model training to industrial applications. As AI is not just another technological advancement, building AI-ready infrastructure is a foundational capability that will shape Europe’s economic competitiveness, strategic autonomy, and ability to address global challenges, from climate change to healthcare.
Yet today, most of Europe’s AI workloads run on infrastructure controlled by foreign providers, leaving the continent vulnerable to geopolitical risks, supply chain disruptions, and the loss of economic value.
If Europe fails to act, it could cede leadership in AI to others, missing out on the productivity gains, innovation, and jobs that come with it.
Europe has the resources, expertise, and ambition to build its own AI future, aligned with its values.
The key lies in ultra-dense, high-performance compute infrastructure, purpose-built for the demands of next-generation AI.
1.5%
World’s electricity consumption of data centers
20%
of Data centers projects risk being delayed
The infrastructure required for frontier AI is fundamentally different from what exists today. Modern AI models demand power densities of 100 kW per rack or more, far beyond the capabilities of traditional data centers. They require advanced cooling systems, such as liquid cooling, to manage heat loads efficiently, and they must be scalable to keep pace with the rapid evolution of AI. Most importantly, this infrastructure must be controlled by European entities to ensure that strategic decisions, economic benefits, and data governance remain in Europe.
By investing in ultra-dense, independent AI infrastructure, Europe can reduce its dependencies on non-European hyperscalers, ensuring that its AI ecosystem is resilient and self-sufficient. It can also turn its energy abundance, from nuclear to renewables, into a competitive advantage, powering AI innovation with sustainable, low-carbon energy. This will create high-value jobs in tech, energy, and manufacturing, while fostering a new generation of European AI leaders. Finally, doing so will allow the European Union to align AI development with its climate goals, by building infrastructure that is not only powerful but also energy-efficient and sustainable.
The question is no longer whether Europe should build this infrastructure, but how to do it quickly, efficiently, and at scale. To seize this opportunity, Europe must adopt a coordinated, forward-looking policy approach that prioritizes ultra-dense, European-controlled AI infrastructure. This requires action on multiple fronts:
Europe needs clear, ambitious standards for what constitutes AI-ready infrastructure. This means defining technical requirements that go beyond traditional data centers:
Power density thresholds (≥100 kW per rack) to ensure that only infrastructure capable of supporting frontier AI qualifies for public support.
Energy efficiency standards to align with Europe’s climate goals and reduce operational costs.
European ownership and control, ensuring that the infrastructure and the data it processes remains under EU jurisdiction.
These standards should be embedded in public funding programs, procurement policies, and energy allocation strategies, creating a level playing field that favors innovation and autonomy over legacy systems.
Building ultra-dense AI infrastructure requires significant upfront investment, but the long-term benefits (economic growth, technological leadership, and strategic resilience) far outweigh the costs. Policymakers can accelerate deployment through:
Long-term offtake agreements, where governments pre-commit to purchasing AI compute capacity from European providers.
Public procurement policies that prioritize ultra-dense, European-controlled infrastructure for critical workloads, from scientific research to public services.
By leveraging public funds strategically, Europe can ensure that its AI infrastructure is built to last.
Europe’s energy resources (nuclear, wind, hydro, and solar) are a strategic asset for AI development. However, these resources must be allocated in a way that maximizes their impact. This means:
Prioritizing ultra-dense AI data centers in energy planning, ensuring they have access to the low-carbon power they need to operate sustainably.
Streamlining permitting and grid connections for high-performance data centers, reducing bureaucratic hurdles that slow down deployment.
Fostering partnerships between AI providers and energy companies, to co-develop infrastructure that is both powerful and sustainable.
Europe’s energy transition and its AI ambitions are two sides of the same coin. By aligning them, policymakers can create a virtuous cycle: AI infrastructure that supports the green transition, and a green transition that powers AI innovation.
No single country or company can build Europe’s AI future alone. Success will require collaboration across borders and sectors:
Public-private partnerships to co-develop and deploy ultra-dense data centers, leveraging the strengths of governments, energy providers, and tech companies.
Investment in R&D to advance cooling technologies, chip design, and interoperability, ensuring that Europe remains at the cutting edge of AI infrastructure.
Skills development programs to prepare the workforce for the AI-driven economy, from data scientists to infrastructure engineers.
Europe’s diversity is one of its greatest strengths. By fostering collaboration, policymakers can ensure that AI infrastructure is distributed across the continent, creating hubs of innovation in every region.
Measures
Embed a specific European AI criteria in public procurement for compute infrastructure
The revision of the public procurement framework as defined in Measure 17, should also be complemented by a specific preference for AI infrastructure projects within the Cloud and AI Development Act (CAIDA).
Ensure competitive training of frontier AI models in Europe
Establish a future-proof, equitable legal framework for the training of AI models in Europe, which is a sine-qua-non condition to ensure Europe’s global competitiveness in AI and strengthen the European creative economy.
European Data Commons Initiative (EDCI)
Create a European data-sharing framework where companies contribute pseudonymized, FAIR-compliant datasets to a centralized portal in exchange for tangible economic and strategic assets, in order to accelerate applied AI research and development.
Create a centralized and AI-ready archive for AI training and cultural preservation
Create a centralized, multilingual repository of public domain works to provide high-quality training data for AI models, preserve Europe’s cultural heritage, and reduce dependency on non-EU datasets.
The AI revolution has started and is a chance to not only catch up but to lead and define our own paths.
Europe is home to a vibrant pool of untapped talent and industrial champions whose unique assets can push the boundaries of what AI can achieve. The competition from the U.S. and China is fierce, but Europe is not a market to be dominated, it is a powerhouse of innovation, creativity, and resilience.
The question is not whether we can compete, but how we will rise to the occasion. AI can be the tool that secures our autonomy, strengthens our strategic sectors, increases our economic wealth and amplifies our global influence. To seize this moment, we must act decisively. We need to drive demand for homegrown AI, secure strategic sectors, and empower European players. Controlling our AI and infrastructure is not optional, it’s the only way to win the AI race. So now is the time to act: grow our talent pool and bring our best minds back to Europe, scale our innovative companies across all 27 Member States, and turn our diversity into a competitive edge by compressing knowledge and building AI that reflects the world’s complexity.
Europe’s AI ecosystem is brimming with potential. By fostering an environment that nurtures growth, we can transform challenges into opportunities and reclaim our future. The race is on, and Europe should be ready to win it.
Arthur Mensch
Co-founder & CEO of Mistral AI
Introduction
Europe holds unique strengths: a world-class academic ecosystem, a commitment to human-centric technology, and a single market of over 450 million people.
The question is no longer whether Europe can compete, but how it can turn these assets into a cohesive, self-reliant AI powerhouse.
This playbook provides a clear, actionable framework to position Europe as that powerhouse, accelerating AI development and adoption, attracting and retaining top talent, simplifying regulation without sacrificing values, and mobilizing public and private investment to build homegrown AI infrastructure. Only with it, Europe can ensure AI is not only developed in Europe, but for Europe and on Europe’s terms.
This document is not a theoretical exercise. It is a practical playbook, born from the lived experience of a European AI startup, Mistral AI, navigating one of the world’s most competitive, fast and capital-intensive industries. We have experienced misaligned equity frameworks, bureaucratic barriers that require the CEO to travel for basic administrative tasks, and legal uncertainty that complicates contracts and customer relationships. We have seen how regulatory overlaps create legal quagmires, how fragmented markets hinder growth, and how talent slips away due to administrative friction.
This document is a call to turn Europe’s strengths into scalable, competitive advantage. It is grounded in the urgency of the moment and the conviction that Europe can and must build an AI ecosystem that reflects its values, serves its citizens, and competes globally. It is our collective duty to ensure AI can also be developed in Europe on terms that aligns with our priorities as Europeans.
These challenges shaped our approach and led us to agree on three key principles to unlock Europe’s AI potential:
Action over theory: Every recommendation, from visa reform to procurement gateways, is designed to be implemented, measured, and scaled.
Unity in complexity: Europe's diversity is its strength, but its fragmentation is its Achilles' heel. This paper embraces the complexity of the EU's structure while offering solutions to align markets, reduce redundancy, and accelerate decision-making.
Speed is not an option: We propose fast-track mechanisms for talent, capital, and compliance, so Europe's innovators aren't left behind.
At Mistral AI, we’ve built a frontier AI company in Europe because we believe in its potential.
This playbook is our contribution to ensuring that potential becomes reality, not just for us, but for the entire ecosystem.
Attract it
I.
Attract and retain talent
II.
Scale: Unleash the full potential of the Single Market
III.
Adopt European AI across the real economy
IV.
Power Europe with local infrastructure and data
I. Attract and retain talent
The most transformative advancements in AI, those that push the boundaries of what is possible, are driven by human genius, scientific curiosity, and the relentless pursuit of knowledge. Beyond the algorithms and computational power, AI’s potential lies in its ability to serve human intelligence, ensuring that technology remains a tool that addresses greater needs.
This human-centric approach is not a philosophical ideal, but a practical necessity. AI systems that are truly innovative and beneficial to society will always require human oversight, creativity, and judgment at their core. their core.
40%
EU companies report difficulties hiring AI talent.
As a consequence, the global competition for AI talent is fierce. The scarcity of highly skilled professionals in computer science, machine learning, and related fields has turned talent into the most critical resource in the AI race. These experts operate in a global, hyper-competitive market, where other regions are attracting talent thanks to faster relocation processes, higher salaries, and dynamic career opportunities.
Fortunately, our continent is home to a vibrant AI academic ecosystem, from world-class universities to cutting-edge research institutions. The foundations are here but the full potential must now be realized.
This requires deeper collaboration between academia and industry, ensuring that research excellence translates directly into innovation, and in general continent-wide measures that ease relocation, simplify administrative procedures, and secure long-term conditions for talent to thrive. The goal should be clear for Europe: becoming the premier destination for global AI experts, a place where talent is not just attracted but nurtured, retained, and empowered to push the boundaries of what AI can achieve.
As competing regions become less open or predictable, Europe has a unique opportunity to position itself as a global hub for AI research and development and address its shortage of highly skilled AI talent.
The future of AI will be first shaped by those who invest in talent today.
Measures
EU AI talent visa
Establish a "AI Blue Card", a fast-track visa process enabling AI and compute researchers, engineers, and entrepreneurs, along with their immediate families (spouses/partners and dependent children under 18), to obtain a 4-year work and residency permit valid across all EU Member States. The visa would be processed in 15 working days via a unified digital portal, with possible renewability and portability between Member States.
Develop deeper and more systematic partnerships between European universities and AI companies
Build deep, structured collaboration between academia and the AI industry to turn Europe’s research excellence into industrial innovation.
EU AI innovation institutes network
Create a pan-European network of applied AI research institutes to boost industry-oriented innovation, modeled after Fraunhofer and Carnot, to accelerate AI adoption. These multidisciplinary centres would collaborate with companies of all sizes through R&D contracts on industry-relevant AI projects, enabling joint participation in bilateral research initiatives and supporting the diffusion of AI innovation across Europe’s industrial ecosystem.
EU AI talent mobility initiative
With 40% of EU companies struggling to hire AI talent, the EU must establish a comprehensive AI talent mobility initiative to enable large-scale, structured mobility across the AI talent lifecycle, from graduates to senior academics and industry experts.
Empower AI students
Provide compute to a selected pool of leading European universities in computing science for their Msc and Phd graduate programs, via university-managed allocation portals. Access should be dynamic and curiosity-driven, with a fair-use cap to ensure broad availability while still enabling compute-intensive projects.
II. Scale: Unleash the full potential of the Single Market
Europe stands at a critical juncture, facing not just a challenge of scale but a deeper crisis of acceleration. More than 50% of the world's unicorns are based in the U.S., compared to less than 10% in the EU, a third of which have already relocated their headquarters abroad, predominantly to the U.S.
This is not merely a disparity in numbers; it reflects a systemic failure where European startups, despite their potential, are forced to seek growth opportunities elsewhere. The issue runs deeper than funding gaps or market size.
It’s about an ecosystem that doesn’t let its most promising companies flourish at home.
50%
of the world's unicorns are based in the U.S.
10%
Less than 10% in the EU.
5%
Europe accounts for just 5% of global venture capital funds
52%
for the U.S.
40%
for China
The fragmentation of Europe’s single market into 27 distinct regulatory landscapes creates an environment where expanding from Berlin to Paris can feel more complex than entering the entire U.S. market.
Additionally, Europe accounts for just 5% of global venture capital funds, compared to 52% for the U.S. and around 40% for China. As a result, European startups grow slower, exit earlier, and too often end up acquired by non-European companies or relocate entirely to access larger markets and simpler regulations.
This represents a double loss for Europe. First, we fail to cultivate homegrown tech leaders that could drive innovation, create jobs, and generate wealth across the single market. Second, and more critically, we surrender our most promising companies to other competing regions in the world, reinforcing U.S. and China dominance in the very sectors where Europe could be leading.
The solution demands a fundamental shift in how Europe supports its scale-ups. We need more harmonization to unleash the full potential of the single market, we need to create financial mechanisms that can help fill the funding gap, and, perhaps most importantly, change the narrative that scaling in Europe is impossible.
The single market remains Europe’s greatest competitive asset, but it must evolve to better enable our companies to scale and compete globally. It’s time to unlock its full potential
Measures
Streamline the EU digital regulatory framework
Leverage the current momentum for simplification to streamline the EU digital regulatory framework. The complex EU digital regulatory framework should be revised to clarify inconsistencies, eliminate overlaps, and reduce compliance efforts without sacrificing underlying regulatory goals.
EU AI compliance portal
Create a centralized, multilingual digital portal for AI developers to generate standardized reports, access real-time guidance, and automate compliance checks across the AI Act and GDPR, drawing on the European Single Access Point (ESAP).
A single registry for automatic recognition of corporate acts
Establish a regulation-based unified, digital-first system for the automatic recognition of corporate acts across all EU Member States, eliminating bureaucratic barriers and legal uncertainty for companies scaling within the Single Market.
EU corporate banking passport
Create an EU corporate banking passport via the European Digital Identity Wallet to grant all EU-based companies a right to a basic payment account and a harmonized, digital-first KYC passporting scheme.
EU ESOP alignment framework
Invite Member States to adopt a flexible, subsidiarity-compliant ESOP Alignment Framework to align taxation event at sale, while respecting national tax rates.
SIU Passport and Hub
Create a SIU Passport by extending the European Commission’s Q4 2025 proposal on savings and investments union (SIU) allowing companies to raise capital in any EU Member State without refiling documentation.
European Single Access Point (ESAP)
Extend the European Single Access Point (ESAP) to corporate filings and investors search with a centralized digital platform, the SIU Hub, for corporate filings, enabling companies to submit prospectuses, financial reports, and compliance documents once and have them automatically recognized and distributed across all EU national regulators.
Create an AI EuVECA Label
An AI EuVECA Label would be a certified designation for qualifying funds that commit a minimum percentage of their investments to AI and deep-tech companies.
Leveraging prudential frameworks to support EU’s AI innovation agenda
As the European Union implements the 2024 Solvency II reform and advances the IORP II review, policymakers should ensure that prudential and investment frameworks actively support long-term equity investments in strategic sectors such as artificial intelligence.
III. Adopt European AI across the real economy
Artificial intelligence is not an abstract promise. It is a tool that fulfills its potential when embedded in the real economy. The most advanced algorithms, the most powerful models, are meaningless if they remain confined to labs or siloed in superficial applications. AI’s true value emerges when it is deployed at scale, solving concrete challenges, whether in the most complex industrial use cases or the daily operations of SMEs.
The opportunity is even bigger considering that embedding AI in a real-world context is not just a matter of technological deployment; but can trigger a virtuous cycle of demand and supply. Every new adoption refines the technology, every real-world application accelerates research, and every successful deployment attracts more investment. In short: adoption doesn’t just follow innovation, it drives it.
The equation is simple: more adoption today means better AI tomorrow and so on.
20%
of EU enterprises have adopted AI.
€2 Trillion
is the annual value of public procurement in Europe - a major lever for innovation.
However, Europe faces a stark reality: only 20% of EU enterprises have adopted AI, and a mere 11% of SMEs are leveraging its potential. Worse still, over 80% of our digital infrastructure remains dependent on non-EU providers.
This leaves us vulnerable to extra-territorial controls that threaten strategic autonomy and could disrupt the seamless deployment of AI technologies across the continent.
Without rapid, large-scale adoption, Europe’s AI ecosystem faces stagnation, deprived of the market signals that guide investment and the real-world use cases that refine technology.
To address this issue, the solution requires a three-pronged strategy:
First, public procurement must become a market-shaping tool. By mandating European AI solutions in government contracts, we send a clear signal that homegrown technology is the best option.
Second, we must remove barriers for SMEs, ensuring that even the smallest firms can access, adopt, and benefit from AI through subsidies, training, and simplified procurement processes.
Third, we need strategic incentives to accelerate private-sector adoption, from tax credits for companies committing to European solutions to compute vouchers that offset upfront costs.
This is not about adoption for adoption’s sake. It is about ensuring that Europe’s digital transformation goes fast enough and is powered by European technology, on European terms.
Measures
EU institutions lead by example in AI-enhanced public administration
Position EU institutions as global leaders in AI-enhanced governance by adopting European AI solutions, demonstrating how public administration can be smarter, faster, and more citizen-centric through homegrown innovation.
Create a fully integrated EU Digital Procurement Gateway
This measure aims to remove barriers for SMEs, scale-ups, and innovative companies, ensuring transparent, efficient, and inclusive access to public contracts across the Single Market.
Establish a targeted European preference mechanism in public procurement for strategic sectors
Establish a targeted European preference mechanism in public procurement for strategic sectors, using public spending to strengthen technological autonomy, economic security, and industrial competitiveness.
Integration of environmental criteria in public procurement
Establish a sustainability reporting and incentive framework requiring all AI providers operating in the EU with annual revenues exceeding €500 million to submit standardized, third-party-verified life-cycle assessments covering the full life cycle of their AI systems as a prerequisite for eligibility for public procurement contracts.
IV. Power Europe with local infrastructure and data
While the continent has made significant strides in AI research and regulation, its infrastructure, the backbone of AI development, remains a weak point. Traditional data centers, designed for general-purpose cloud computing, are ill-equipped to handle the demands of frontier AI models, which require ultra-dense, high-performance compute infrastructure.
Without this infrastructure, Europe risks falling further behind the United States and Asia, deepening its dependency on non-European hyperscalers for everything from model training to industrial applications. As AI is not just another technological advancement, building AI-ready infrastructure is a foundational capability that will shape Europe’s economic competitiveness, strategic autonomy, and ability to address global challenges, from climate change to healthcare.
Yet today, most of Europe’s AI workloads run on infrastructure controlled by foreign providers, leaving the continent vulnerable to geopolitical risks, supply chain disruptions, and the loss of economic value.
If Europe fails to act, it could cede leadership in AI to others, missing out on the productivity gains, innovation, and jobs that come with it.
Europe has the resources, expertise, and ambition to build its own AI future, aligned with its values.
The key lies in ultra-dense, high-performance compute infrastructure, purpose-built for the demands of next-generation AI.
1.5%
World’s electricity consumption of data centers
20%
of Data centers projects risk being delayed
The infrastructure required for frontier AI is fundamentally different from what exists today. Modern AI models demand power densities of 100 kW per rack or more, far beyond the capabilities of traditional data centers. They require advanced cooling systems, such as liquid cooling, to manage heat loads efficiently, and they must be scalable to keep pace with the rapid evolution of AI. Most importantly, this infrastructure must be controlled by European entities to ensure that strategic decisions, economic benefits, and data governance remain in Europe.
By investing in ultra-dense, independent AI infrastructure, Europe can reduce its dependencies on non-European hyperscalers, ensuring that its AI ecosystem is resilient and self-sufficient. It can also turn its energy abundance, from nuclear to renewables, into a competitive advantage, powering AI innovation with sustainable, low-carbon energy. This will create high-value jobs in tech, energy, and manufacturing, while fostering a new generation of European AI leaders. Finally, doing so will allow the European Union to align AI development with its climate goals, by building infrastructure that is not only powerful but also energy-efficient and sustainable.
The question is no longer whether Europe should build this infrastructure, but how to do it quickly, efficiently, and at scale. To seize this opportunity, Europe must adopt a coordinated, forward-looking policy approach that prioritizes ultra-dense, European-controlled AI infrastructure. This requires action on multiple fronts:
Europe needs clear, ambitious standards for what constitutes AI-ready infrastructure. This means defining technical requirements that go beyond traditional data centers:
Power density thresholds (≥100 kW per rack) to ensure that only infrastructure capable of supporting frontier AI qualifies for public support.
Energy efficiency standards to align with Europe’s climate goals and reduce operational costs.
European ownership and control, ensuring that the infrastructure and the data it processes remains under EU jurisdiction.
These standards should be embedded in public funding programs, procurement policies, and energy allocation strategies, creating a level playing field that favors innovation and autonomy over legacy systems.
Building ultra-dense AI infrastructure requires significant upfront investment, but the long-term benefits (economic growth, technological leadership, and strategic resilience) far outweigh the costs. Policymakers can accelerate deployment through:
Long-term offtake agreements, where governments pre-commit to purchasing AI compute capacity from European providers.
Public procurement policies that prioritize ultra-dense, European-controlled infrastructure for critical workloads, from scientific research to public services.
By leveraging public funds strategically, Europe can ensure that its AI infrastructure is built to last.
Europe’s energy resources (nuclear, wind, hydro, and solar) are a strategic asset for AI development. However, these resources must be allocated in a way that maximizes their impact. This means:
Prioritizing ultra-dense AI data centers in energy planning, ensuring they have access to the low-carbon power they need to operate sustainably.
Streamlining permitting and grid connections for high-performance data centers, reducing bureaucratic hurdles that slow down deployment.
Fostering partnerships between AI providers and energy companies, to co-develop infrastructure that is both powerful and sustainable.
Europe’s energy transition and its AI ambitions are two sides of the same coin. By aligning them, policymakers can create a virtuous cycle: AI infrastructure that supports the green transition, and a green transition that powers AI innovation.
No single country or company can build Europe’s AI future alone. Success will require collaboration across borders and sectors:
Public-private partnerships to co-develop and deploy ultra-dense data centers, leveraging the strengths of governments, energy providers, and tech companies.
Investment in R&D to advance cooling technologies, chip design, and interoperability, ensuring that Europe remains at the cutting edge of AI infrastructure.
Skills development programs to prepare the workforce for the AI-driven economy, from data scientists to infrastructure engineers.
Europe’s diversity is one of its greatest strengths. By fostering collaboration, policymakers can ensure that AI infrastructure is distributed across the continent, creating hubs of innovation in every region.
Measures
Embed a specific European AI criteria in public procurement for compute infrastructure
The revision of the public procurement framework as defined in Measure 17, should also be complemented by a specific preference for AI infrastructure projects within the Cloud and AI Development Act (CAIDA).
Ensure competitive training of frontier AI models in Europe
Establish a future-proof, equitable legal framework for the training of AI models in Europe, which is a sine-qua-non condition to ensure Europe’s global competitiveness in AI and strengthen the European creative economy.
European Data Commons Initiative (EDCI)
Create a European data-sharing framework where companies contribute pseudonymized, FAIR-compliant datasets to a centralized portal in exchange for tangible economic and strategic assets, in order to accelerate applied AI research and development.
Create a centralized and AI-ready archive for AI training and cultural preservation
Create a centralized, multilingual repository of public domain works to provide high-quality training data for AI models, preserve Europe’s cultural heritage, and reduce dependency on non-EU datasets.