Europe bets on early education to catch up in the AI race
In 10 European countries, 12,000 students are already building applied AI projects through the AI-ENTR4YOUTH program, a three-year initiative coordinated by JA Europe and supported by Intel and the European Commission. While Europe lags behind the United States and China in the technology race, this early educational approach could transform a structural handicap into a generational advantage. The European Commission estimates that over 60% of European workers will need additional training to cope with the impact of AI, while 77% of European companies struggle to attract qualified AI talent.
The generational challenge facing Sino-American dominance
The gap between labor market demand and available AI skills is becoming a structural constraint on European growth. Europe has only a handful of AI models and remains far behind the United States and, to a lesser extent, China, in terms of innovation and deployment. Faced with this reality, a silent shift is occurring much earlier in the talent pipeline: AI entrepreneurship is taking hold in secondary school classrooms across Europe.
Recognized by the World Economic Forum as one of the eight best global AI education initiatives, the program has already reached 12,000 students and is expected to impact 30,000 people by 2026. JA Europe reached 6.5 million young people across all its programs last year, but scaling up AI entrepreneurship uniformly across Europe remains complex.
High school students creating AI startups
Unlike traditional digital literacy courses, AI-ENTR4YOUTH is built around project-based learning. Students work in teams to define real-world problems, build AI-based solutions, test them, and develop basic business models around their ideas. The program covers data literacy, AI ethics, no-code AI tools, computer vision, Python programming, mathematics for AI, data exploration, modeling and deployment, prototyping and user testing, as well as pitching and business model development.
In practice, many projects now resemble early-stage startup initiatives rather than school assignments. In Spain, a team of students developed WaterScreen, a sensor-based system installed on school water pipes that measures consumption and flow rates in real time to visualize usage habits and raise awareness about water scarcity and waste. The project emerged in response to recurring drought conditions in Catalonia and was designed to provide schools with granular data on where and how water is lost.
Other successes are emerging across Europe: PulsePal, created by Albanian student Ajsel Budlla, uses AI models to remotely monitor vital signs of people in remote rural areas and won the Digital Innovation Award at Code Week. “At first, building an AI model seemed unimaginable. Once you work on it practically, you realize it’s achievable,” explains Budlla.
The European framework for harmonizing AI education
Educational policy remains largely national and teacher preparation varies considerably. To reduce fragmentation, the European Commission, with the OECD and G7 approval, recently proposed a draft artificial intelligence literacy framework for primary and secondary education, aimed at aligning national approaches and accelerating adoption.
This AI literacy framework is a joint initiative of the European Commission and the OECD, supported by Code.org and leading international experts. Input from nearly 1,000 participants will help shape the final version of the framework, scheduled to be launched in 2026 with AI literacy examples.
More broadly, the European AI Act, the world’s first comprehensive AI legislation, promotes a human-centered approach based on risk assessment for AI system adoption. In particular, Article 4 of the law requires AI system providers and deployers to ensure that their staff and anyone using the systems on their behalf have an adequate level of AI literacy.
Europe catches up on talent training
AI talent has more than doubled in the European Union between 2016 and 2023, now representing 0.41% of the European workforce. The EU’s reputation as an AI training hub supports the development of these skills, with a significant share of AI-related Master’s programs worldwide offered by its universities and research centers, with Germany, France and the Netherlands leading the way.
Although Europe has a high proportion of AI talent, it lags behind the United States and China in innovation capacity and AI model development. This availability of AI skills nonetheless rests on the solid foundations of the region’s educational strength and STEM heritage, which produce high-quality professionals.
National initiatives are accelerating. France announced over 100 billion euros in AI investments at its AI Action Summit in February 2025, focused on infrastructure, data centers, and talent. Germany has permanently funded a network of national AI competence centers, consolidating excellence and visibility in AI research.
Early successes validating the approach
Alumni from previous programs, such as Cornel Amarei, founder of Romanian startup .lumen which develops smart glasses for the visually impaired and has raised over 15 million euros, are often cited as early indicators of sustainable impact. These success stories demonstrate that AI can transform unexpected sectors, even in traditionally less tech-savvy economies.
“AI-ENTR4YOUTH proves that young people can do more than use AI; they can build with it, question it, and apply it for public good. They are not just future consumers of AI,” notes Salvatore Nigro, CEO of JA Europe.
As European startups and companies compete globally on AI, deep tech, and data infrastructure, the shift toward applied AI education in secondary schools suggests that future cohorts will enter university and ultimately the job market with hands-on AI experience already in place. By 2026, the question may no longer be whether AI belongs in classrooms, but whether education systems can evolve fast enough to nurture the next generation of European founders, operators, and engineers.
The initiative is already expanding beyond traditional European borders. Its footprint covers ten nations, from Italy, Portugal, and Spain to Albania, Bulgaria, Czech Republic, France, Greece, Romania, and Ukraine, making it one of the first systematic, transnational implementations of AI education and entrepreneurship in Europe.
Technical infrastructure remains the major challenge
Equitable access to infrastructure is becoming the main scaling constraint, as device availability, connectivity, and cloud tools vary significantly between regions and school systems. This digital divide echoes the challenges Europe faces in its industrial strategy against established tech giants.
The local approach to adapting content to teachers’ needs proves crucial. “It was essential to adapt the content to what teachers needed and to figure out how to effectively combine AI and entrepreneurship modules. We were able to scale because we first tested everything locally, working closely with educators on the ground,” explains a program manager. This approach fostered a sense of ownership among teachers and helped make the program adaptable to local contexts, from urban classrooms in France to rural schools in Albania.
Europe is thus betting on an early training strategy to catch up with its structural technology lag. Facing massive Silicon Valley investments and China’s rise, this educational approach could prove decisive for Europe’s technological sovereignty tomorrow. The question is no longer whether Europe can compete, but whether it can transform its education system fast enough to train the generation that will usher it into the AI era.