European artificial intelligence startups are increasingly bypassing local investors and heading to the United States in search of larger capital infusions and quicker deal timelines. Founders say U.S. venture capitalists are more willing to write big checks early — a crucial advantage in AI, where upfront infrastructure and talent costs are high.
Funding Flows Favor U.S. Investors
In 2025 alone, American investors poured $14.2 billion into European AI and machine-learning startups — making up about 71% of total deal value in the region. That’s a steep jump from 57.5% the previous year.
European VCs are often criticized for their slower pace, cautious due diligence, and smaller check sizes. Founders say that trying to raise locally can mean months of waiting — time many AI ventures can’t afford. In contrast, U.S. deals commonly close in weeks.
Founders Cross the Atlantic
Some AI entrepreneurs start in Europe, then fold into U.S.-based corporate structures or relocate entirely. Techniques like the “Delaware Flip” allow European startups to reincorporate in the U.S. to access more favorable funding mechanisms.
For instance, Structured AI, co-founded by British entrepreneur Brandon Abreu Smith, landed $500,000 of pre-seed funding within a week of moving operations to San Francisco — something that had proven elusive while in London.
Another example, Zally, an AI cybersecurity startup, found it nearly impossible to raise initial funds in Europe. Its founder moved to the U.S. and secured backing to support R&D and patent efforts.
Valuation, Regulation, and Risks
Valuations in Europe are often more conservative, making it harder for startups to justify high-risk, capital-intensive AI models. In contrast, U.S. investors tend to price based on growth potential, leading to more aggressive valuations.
Regulation also plays a role. The EU’s forthcoming AI Act introduces potential compliance costs and legal uncertainties that could slow growth. Some startups see U.S. incorporation as a safeguard against such burdens.
Still, many companies keep their engineering and R&D teams in Europe, where costs are lower and talent pools remain strong. The migration is largely about finance and structure, not abandoning Europe’s tech base.
Broader Implications for Europe
This funding migration raises concerns that Europe may lose control over the future of its AI innovations. With fewer homegrown giants and more core intellectual property backed from abroad, economic and strategic influence could slip away.
European policymakers and investors face pressure to respond: increasing the scale and speed of funding, reducing red tape, and strengthening support for deep tech ventures. Without that, Europe’s AI talent and ideas may fuel innovation elsewhere.
