Europe’s AI challenge is not invention, but momentum

Europe possesses the talent and ambition to lead in Artificial Intelligence (AI), yet struggles to convert that potential into sustained scale. Despite promising prototypes, successful pilots, and early traction, many companies experience a slowdown that impedes their progress. According to an AWS study, over half of European businesses now employ AI, but only 22% utilize advanced AI systems. This phenomenon is evident across various industries, including healthcare, ClimateTech, and advanced manufacturing.

Europe's AI leadership is bolstered by frameworks emphasizing transparency, safety, and accountability, such as the EU AI Act. However, numerous businesses cite regulatory complexity as a significant obstacle to scaling AI. Despite Europe being a global leader in responsible AI, the fragmented regulatory environment poses challenges for small and medium-sized enterprises (SMEs), which may face compliance costs of up to €500,000 depending on the complexity.

The lack of AI fluency among businesses is another critical barrier. Many organizations find it difficult to hire technical talent and build leadership teams capable of applying AI at scale. Consequently, AI initiatives often remain confined within innovation teams rather than permeating the wider organization. Research indicates that by 2026, over 90% of enterprises will face critical AI skills shortages, leading to limited adoption and minimal material productivity or revenue gains for many businesses.

While Europe continues to produce high-quality AI companies, particularly in DeepTech sectors like HealthTech and ClimateTech, these startups frequently encounter difficulties when transitioning from early success to scale. Access to scale-up capital can be a challenge, as many founders begin seeking opportunities beyond Europe's borders to fuel growth. This trend risks causing Europe to lose not just individual businesses but also the next generation of global industry leaders.

To address this challenge, Europe must embrace three transformative shifts. First, the Single Market should become a unified AI ecosystem where compliance with the AI Act in one EU country enables businesses to innovate and grow across all 27 member states. Second, Europe must invest in AI literacy, making it a core expectation for all employees, from senior leaders to interns, and integrating AI considerations into product roadmaps and budgets.

Lastly, Europe must prioritize scaling companies by unlocking long-term investment, creating integrated capital markets, and leveraging public procurement to support innovation. By removing these blockers, Europe can transform its AI potential into impactful performance and become a global leader in the AI era.