The European Union (EU) aims to become a global leader in artificial intelligence (AI) through the AI Continent Action Plan, which was launched on April 9, 2025, as a complete plan to use European industrial capabilities, skilled personnel, and ethical standards to advance AI development. The complete comprehension of this plan requires studying its historical development alongside its individual elements and global AI competition assessment while analyzing innovation ethics and sovereignty interactions.
AMIT DUA
ASSOCIATE PROFESSOR, BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE, PILANI FOR NEWS ANALYTICS
a 5 mins read.
THE GENESIS OF THE EU’S AI STRATEGY
The EU started its path to AI leadership by understanding AI as a transformative technology that produces significant economic, social, and geopolitical effects. The European Commission released the Coordinated Plan on Artificial Intelligence in 2018 as a fundamental document that united the Commission with EU Member States and Norway and Switzerland for maximising European AI capabilities.
The plan accelerated investment while implementing national AI strategies to prevent EU policy fragmentation. The initiative established funding mechanisms and implementation steps to promote AI adoption throughout different sectors while prompting member states to create their strategic plans. The EU updated its plan in 2021 to match its digital and green priorities while strengthening its dedication to trustworthy AI systems that respect human rights and follow ethical standards.
The 2018 plan established the foundation for future initiatives such as the White Paper on AI (2020), which recommended dual objectives of excellence (innovation and competitiveness) and trust (safety and rights). The EU established this dual approach as its fundamental strategy, which differentiates it from the U.S. market-oriented model and China’s state-directed system.
The AI Act emerged from the White Paper when it was proposed in April 2021 before becoming the first global standard for AI regulation in 2024. The AI Act established a risk-based regulatory framework that grouped AI systems into four categories, ranging from unacceptable to high-risk and transparency to minimal/no risk to maintain innovation alongside safety and rights.
The EU supported AI development through its research and innovation programs, which included Horizon Europe and the Digital Europe Programme. The annual funding for Horizon Europe exceeds €1 billion to support AI research, while the Digital Europe Programme directs its resources toward infrastructure development and skill-building and deployment initiatives. The European Innovation Council (EIC) supports startups and SMEs through funding to develop an AI innovation ecosystem. The EuroHPC Joint Undertaking (JU) received €10 billion in funding from 2021 to 2027 to develop the computational foundation for AI through its high-performance computing advancement program.
The ethical aspects received priority attention since the beginning of the initiative. The High-Level Expert Group on AI (HLEG) received its appointment in 2018 before releasing the Ethics Guidelines for Trustworthy AI in 2019. The seven principles outlined in these guidelines include human agency alongside robustness and privacy and transparency and diversity and societal well-being, and accountability. The AI Act received its direction from these guidelines, which guide the EU’s human-centric AI vision.
European Commission President Ursula von der Leyen introduced this initiative at the AI Action Summit in Paris in February 2025 through a series of earlier policies and investments starting from 2018.
THE AI CONTINENT ACTION PLAN: A BOLD LEAP FORWARD
The AI Continent Action Plan, which was launched in 2025, represents the culmination of these efforts to establish Europe as a leading AI continent. The EU faces a global AI competition deficit because it trails behind both the United States and China in terms of investment and adoption rates. The 2023 McKinsey survey revealed that European businesses trail North American companies by 30% in generative AI adoption rates.
The plan tackles this deficit through a €200 billion investment initiative, which includes the InvestAI Facility providing €20 billion for AI infrastructure development that von der Leyen announced in February 2025. The plan consists of five main pillars, which include infrastructure development and data access and AI adoption and skills development and regulatory simplification. Let us discuss them one by one.
- Building Large-Scale AI Data and Computing Infrastructure
The EU acknowledges that advanced AI models need vast computational resources to operate. The AI Factories, which utilize world-class supercomputers from the EuroHPC JU, serve as the core foundation of this pillar. The AI Factories expansion includes 13 operational facilities in 2025, with plans to reach 15 facilities by 2026, backed by €10 billion investments. The factories enable startups and SMEs and researchers, and industries to access computing power and data and talent resources, which drive innovation across healthcare manufacturing and climate sectors.
The plan establishes AI Gigafactories as large-scale facilities that will contain about 100,000 state-of-the-art AI chips that represent four times the capacity of current AI Factories. The Gigafactories will train complex frontier AI models to boost EU strategic autonomy in vital sectors. Through its partnership with the European Investment Bank, the InvestAI Facility will deploy €20 billion to create up to five Gigafactories through public-private funding initiatives. The April 2025 announcement brought forth a consortium call to create these facilities.
The proposed Cloud and AI Development Act will establish support for infrastructure by targeting a threefold increase in EU data center capacity during a five to seven-year period while emphasizing sustainable, energy-efficient facilities. The proposal resolves Europe’s dependence on foreign cloud infrastructure, which policymakers have identified as a critical concern.
- Increasing Access to High-Quality Data
AI depends on high-quality data as its fundamental source of survival. The plan establishes Data Labs inside AI Factories to collect extensive, diverse datasets that expand on the Data Act and Data Governance Act. The Data Union Strategy will launch in 2025 to establish a unified European data market that allows data sharing across borders while maintaining privacy and security standards. The current fragmentation of data throughout Member States creates a major bottleneck that prevents AI from scaling up.
AT: Austria; BG: Bulgaria, DE: Germany, EL: Greece, ES: Spain, FI: Finland, FR: France, IT: Italy, LU: Luxembourg, PL: Poland, SE: Sweden, SI: Slovenia
- Developing Algorithms and Fostering AI Adoption
The potential of AI remains unfulfilled because only 13.5% of EU companies currently use AI, yet adoption rates in the U.S. are higher. The upcoming Apply AI Strategy will launch to increase AI adoption in strategic sectors, including healthcare and transport and public administration. The European Digital Innovation Hubs (EDIHs) and AI Factories will offer technical support and testing facilities, and financial guidance to help this initiative. Through public procurement, the strategy will establish a market demand for innovative AI solutions.
- Strengthening AI Skills and Talent
The EU faces a talent shortage in AI. The AI Skills Academy will launch in 2025 to provide education and training in AI with a focus on generative AI for students and professionals. The Talent Pool, together with the Marie Skłodowska-Curie Action’s ‘MSCA Choose Europe’ and AI fellowships, will help recruit international talent while bringing European experts back to the continent. The plan includes public awareness campaigns and educational programs to promote AI literacy.
- Regulatory Simplification
Since August 2024, the AI Act has been in effect, and it provides a robust framework but poses compliance challenges, especially for SMEs. The AI Act Service Desk will assist businesses, while regulatory sandboxes will allow testing of high-risk AI systems. The European AI Office, created in 2024, is responsible for overseeing the implementation, enforcing rules for general-purpose AI, and promoting innovation. A Code of Practice for general-purpose AI, to be finalized in 2025, will guide providers in meeting AI Act obligations.
CRITICAL ANALYSIS
Multiple obstacles need to be addressed for the AI Continent Action Plan to succeed. The EU must speed up its AI investment and adoption efforts because its current lower generative AI uptake rates trail behind North America. The €200 billion investment stands as a major commitment, but the United States and China have maintained heavy investments in AI for multiple years while OpenAI and Google establish worldwide industry benchmarks.
The EU faces infrastructure risks because it depends on American-made AI chips, while U.S. export restrictions similar to Trump-era policies might be implemented. The proposed Chips Act 2.0 and domestic chip fabrication investments work to reduce the risk, but manufacturing expansion requires multiple years to achieve. The relationship between the AI Act and the General Data Protection Regulation (GDPR) generates compliance difficulties for developers.
The AI Act establishes regulations for high-risk systems, but GDPR controls data usage, and developers face confusion because these regulations do not integrate seamlessly, particularly among startup companies. The Action Plan depends on advisory support to achieve simplified compliance, but lacks direct funding or legal assistance, which might not be enough.
The high energy requirements of AI infrastructure, specifically in Gigafactories, create sustainability issues. The plan establishes green computing as a priority, but it fails to provide specific timing for implementing energy-efficient solutions. Small Modular Reactors and AI Energy Council proposals show potential to solve the issue, although their implementation will occur in the distant future.
The EU’s AI Action Plan faces hurdles in investment, infrastructure, regulation, and sustainability, requiring faster adoption, clearer compliance, and long-term energy-efficient strategies.
GLOBAL CONTEXT AND SIGNIFICANCE
The AI Continent Action Plan establishes the EU as an individual global AI competitor through its commitment to trustworthy AI instead of commercial or state-driven models. The OECD AI Policy Observatory observes that EU regulatory methods differ from US minimal oversight and Chinese state-based control systems. The EU supports open-source AI development and European Networks of Excellence in AI (NoEs) to create equal opportunities for smaller actors in the market.
The plan strengthens EU technological independence through reduced dependence on foreign infrastructure. Users on the X platform show positive expectations about this transformation by praising the plan’s sovereignty and ethical and infrastructure focus as a realignment instead of catch-up. The European Council on Foreign Relations expresses skepticism about the plan because it needs to resolve resource constraints and support open-source models for effective competition.
(Dr Amit Dua is an Associate Professor at BITS, Pilani and Founder of YET Pvt. Ltd. He is a TEDx speaker and the author of books on Machine Learning and Machine Learning for Education. The views expressed are of the author and do not necessarily reflect the views of The News Analytics Journal.)
Major Highlights
- The AI Continent Action Plan aims to establish the EU as a leader in the global AI domain.
- The strategy connects EU policies from the 2018 Coordinated Plan up to the 2024 AI Act.
- The five pillars of the plan need careful execution to overcome investment gaps, chip dependency, regulatory complexity and energy demands.
- We need to analyze how the EU will manage its ethical obligations against the practical requirements.
- The EU’s success will determine its economic growth and global discussions about AI development.
