Europe's AI startup ecosystem is riding stratospheric valuations and bumper funding rounds, but investors and founders may be ignoring serious structural risks. Companies like Mistral and Lovable have become poster children for the continent's innovation push, yet a growing chorus warns that Europe remains deeply dependent on American AI infrastructure.

Three headwinds threaten the boom. Startups rely on subsidised compute from US platforms that won't last. As models from OpenAI and Anthropic expand capabilities, many European applications risk redundancy. Most dangerously, any capital markets correction could hit European startups disproportionately hard, since promising companies depend on US capital investment that has historically pulled back sharply in 2000, 2008, and 2022.

Most European AI startups are built on American foundational models. Some, like Legora and Tandem Health, have delivered genuine enterprise value. Many others are "nice-to-haves" with thin moats. Major LLM providers already spend over half their revenues on inference, and cheap compute will not last. Price hikes will be passed downstream, and companies without sticky, specialised products will struggle to survive.

Europe's real opportunity lies downstream. Foundational models are blast furnaces; the larger prize is the engineered applications built on top. Startups embedded in regulated sectors like healthcare and finance, or document-intensive industries like accounting and compliance, have genuine defensibility. Generalist no-code tools face the steepest risk. The continent's analogue reputation could prove an unexpected advantage when the cycle turns.