Europe entered the AI competition late. The real deficit now is not innovation or expertise, it is scale.
A recent write-up by Oleg Khusaenov, CEO and founder of Zubr Capital, frames the European lag as a structural challenge rather than a talent problem. For years, the continent watched from the sidelines while American giants built hyperscale infrastructure, cultivated frontier research labs, and tapped deep capital reserves. Europe possessed strong universities, skilled engineers, and thoughtful regulation. What it lacked was velocity.
That picture has shifted. According to Khusaenov, European firms now integrate AI at accelerating rates. Adoption curves climb across finance, manufacturing, healthcare, and logistics. Startups in Paris, Berlin, and Stockholm attract meaningful investment rounds. Meanwhile, policymakers push frameworks designed to encourage experimentation without abandoning safeguards.
However, the remaining gap persists in one crucial dimension: the ability to grow fast and go big.
American players operate with advantages European rivals struggle to replicate. Larger domestic markets allow quicker monetization. Venture ecosystems tolerate higher risk. Corporate procurement moves faster. As a result, U.S. companies often scale globally before European contenders solidify their home base.
Khusaenov argues the contest no longer centers on who invents breakthrough models. Instead, winners will emerge based on deployment breadth, data access, and operational integration. Europe faces a narrowing window. The technology now exists; the infrastructure works. The continent’s next test involves moving from promising pilots to continental rollouts.
Several factors could tip the balance. Regulatory harmonization would help startups expand across borders without duplicating compliance work. Pension funds and institutional investors might allocate more to growth-stage AI companies. Corporates could commit to purchasing from local vendors rather than defaulting to established American platforms.
The stakes stretch beyond economics. Europe’s industrial base, from automotive to pharmaceuticals, risks dependency on foreign AI systems. Building sovereign capability matters for resilience and strategic autonomy.
The race has begun in earnest. Europe no longer watches from the sidelines. What remains unclear is whether its players can reach the size required to compete globally before the next technology cycle resets the board again.
