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Europe defines leadership in AI not by creating groundbreaking technology, but by being the first to establish comprehensive regulations. This approach is framed as 'leadership' but often stifles nascent companies before they have a chance to grow, a model described as strangling innovation in the crib.

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Large AI firms advocate for complex regulations under the guise of public safety. This strategy, known as regulatory capture, raises the cost of entry, making it harder for new, innovative startups to compete and cementing the incumbents' market dominance, ultimately harming consumers.

President Macron argues that Europe's regulatory approach, often criticized as stifling, will ultimately create a competitive advantage. He posits that "safe spaces will win in the long run" because countries, companies, and consumers will gravitate towards AI systems that are reliable and trustworthy.

The U.S. leads in tech because its ecosystem is built on "permissionless innovation"—the ability for founders to create without seeking government approval first. This contrasts with Europe's regulator-centric model and is the crucial element that must be protected to maintain the AI lead.

The narrative of AI doom isn't just organic panic. It's being leveraged by established players who are actively seeking "regulatory capture." They aim to create a cartel that chokes off innovation from startups right from the start.

The European Union's strategy for leading in AI focuses on establishing comprehensive regulations from Brussels. This approach contrasts sharply with the U.S. model, which prioritizes private sector innovation and views excessive regulation as a competitive disadvantage that stifles growth.

Hoffman warns that Europe's focus on AI regulation is a flawed strategy. In the "World Cup match" of AI between the US and China, the referee never wins. To be relevant and benefit, Europe must become a player by fostering its own AI innovation and companies.

The EU's AI Act has been so restrictive that it has largely killed native AI development in Europe. The regulation is so punitive that even major American companies like Apple and Meta are choosing not to launch their leading-edge AI capabilities there, demonstrating the chilling effect of preemptive, overbearing regulation.

Europe's economic underperformance is caused by a governance structure that is not just indifferent but actively hostile to its entrepreneurial class. This 'regulatory malice' and 'contempt' makes it prohibitively difficult to build, innovate, and capture upside, driving away talent and capital.

Europe is in a strategic trap: it wants to regulate AI for safety but lacks a domestic frontier AI industry to give it leverage. Over-regulation could cause US AI labs to either abandon the European market, using the freed-up compute to accelerate R&D, or serve Europe with weaker, compliant models.

The breathless talk about AI's dangers from leaders of large AI labs isn't just about safety; it's a business strategy. By encouraging regulation, established players like Anthropic can create a 'regulatory moat' that makes it harder for smaller competitors to enter the market.

Europe's 'AI Leadership' Is A Race to Regulate, Not Innovate | RiffOn