Europe doesn't lack AI talent, but confidence, says Lovable CEO
Lovable founder Anton Osika claims European AI startups have a confidence problem, not a talent one, and criticizes the narrative that forces them to emigrate to Silicon Valley.
June 23, 2026 · 5 min read
TL;DR: Lovable's CEO argues that European AI startups lack confidence, not talent. The debate reflects tension between the European ecosystem and Silicon Valley, questioning whether the solution is cultural or structural.
What happened?
Anton Osika, CEO of Lovable, a Swedish generative AI startup, posted a message on X over the weekend that has sparked intense debate. In it, he stated that European AI startups don't have a talent problem, but a confidence problem. According to Osika, European founders are constantly told they must move to San Francisco if they want to build a serious AI company, but the real barrier was never a lack of technical ability or funding, but self-perception and audacity.
Lovable, founded in 2023, has raised €17 million and is considered one of the promises of the Nordic AI ecosystem. The company develops generative AI tools for design and prototyping, competing with giants like GitHub Copilot. His CEO's statements add to a growing chorus of voices questioning the narrative that Europe is irremediably lagging behind Silicon Valley in the field of artificial intelligence.
Osika's message did not arise in a vacuum. In recent years, multiple reports have pointed out the AI investment gap between the US and Europe: according to Dealroom data, in 2024 European AI startups raised about €8 billion, compared to over $60 billion by their US counterparts. However, Osika argues that the difference is not talent: Europe produces over 20% of the world's AI researchers, according to Stanford's AI Index Report 2024, and boasts centers of excellence like the ELLIS Institute or the Max Planck Institute.
Why is it important?
The discussion about confidence versus talent is not trivial. Europe has top-tier universities (ETH Zurich, Cambridge, INRIA), a solid base of engineers, and a growing venture capital ecosystem. Yet the widespread perception is that European startups struggle to scale and compete globally, especially in AI. If the problem is really one of confidence, solutions involve cultural and mindset changes, not just capital injections or talent attraction policies.
Moreover, in a context where AI regulation in Europe is stricter (with the EU AI Act, which came into force in August 2024), confidence to innovate without fear of sanctions becomes crucial. Osika suggests that founders must believe more in their abilities and stop idealizing Silicon Valley as the only place to succeed. A 2024 Atomico study revealed that 40% of European AI founders consider moving to the US to scale, reinforcing Osika's thesis about a lack of confidence in the local ecosystem.
Historically, Europe has produced highly successful AI companies, such as DeepMind (founded in London in 2010, acquired by Google in 2014 for $500 million) and Mistral AI (founded in Paris in 2023, valued at €2 billion in its 2024 round). However, most European AI unicorns have ended up being acquired by US companies or moving their headquarters to the US, as happened with British AI startup Graphcore, which moved to California in 2022. This pattern feeds the narrative that Europe is a talent nursery that then gets exported.
Consequences and projections
If Osika's analysis is correct, the implications are profound. Public policies and investment strategies should focus on fostering confidence and ambition, not just funding startups. For example, initiatives like the European Commission's "European AI Champions" program, which aims to support startups with global potential, could have a greater impact if combined with mentorship that reinforces a growth mindset. On the other hand, if the problem is really talent, Europe would need more aggressive educational and immigration reforms to attract the world's top researchers.
The reaction on social media has been mixed. Some investors and founders support Osika's stance, pointing out that Europe has produced companies like DeepMind (before being acquired by Google) or Mistral AI. Others argue that the lack of confidence is actually a symptom of an ecosystem with less venture capital, less risk-taking culture, and a fragmented market. For example, Spanish investor Carlos Espinal of Seedcamp noted on X that "confidence is important, but without patient capital and a functioning digital single market, European startups will always have a glass ceiling."
Comparing with past events, the debate recalls the one in the 2010s about Europe's ability to produce consumer tech startups. Companies like Spotify (Sweden), Supercell (Finland), and Klarna (Sweden) proved it was possible to scale globally from Europe. However, in the AI field, Silicon Valley's dominance is more pronounced due to the concentration of talent, capital, and data. The EU AI Act, although pioneering in ethical regulation, has also been criticized for adding bureaucratic burdens that may discourage innovation. A 2024 EY report estimated that compliance with the AI Act could cost European startups between €2 and €5 million extra per year, potentially hampering their growth.
What readers should know
- Lovable is a Swedish generative AI startup that has raised €17 million and competes in the AI-powered development tools space.
- CEO Anton Osika has stated that the real problem for European AI startups is confidence, not talent, based on his experience and feedback from other founders.
- The debate reflects a broader tension between the European ecosystem and Silicon Valley, with data showing Europe produces a quarter of AI researchers but receives only 10% of global AI investment.
- The EU AI Act, which classifies AI systems by risk level, could influence founders' confidence to innovate, especially in high-risk applications.
- There is no consensus: some experts believe talent is indeed a limiting factor, noting that big US tech companies attract top European researchers with salaries and conditions impossible to match.
- In 2024, Europe lost several star AI researchers to US companies, such as Spanish scientist José Hernández-Orallo, who joined Google DeepMind.
- Confidence is also linked to data access: Europe has stricter privacy regulations (GDPR), making it harder to collect large datasets for training AI models.
“European founders are just as talented as those in Silicon Valley, but they often underestimate themselves. Confidence is the missing ingredient.” — Anton Osika, CEO of Lovable.