Summary
Three investors compared AI opportunities across applications, middleware, infrastructure, energy, chips, and European resilience. They argued that AI has intensified venture power laws, pushed investors toward services and asset-heavy models, and made discipline around differentiation, capital efficiency, and sustainable profit more important as capital floods consensus winners.
Key Topics
5 key topics from Sasha Vidiborskiy, Roseanne Wincek, Jai Das and Romain Dillet at HumanX Amsterdam 2026. Thicker branches were mentioned more often in the talk.
The AI Investment Reality Check
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Key Takeaways
- Assess AI startups by durable value capture, not AI-native positioning.
- Prioritize differentiated categories before capital concentrates around consensus winners.
- Model profitability early, especially for asset-heavy AI infrastructure companies.
- Look beyond pure software toward services, outputs, infrastructure, and government buyers.
- Stay disciplined when many similar startups raise large rounds quickly.
“I think the power law has just become more acute. Right? In that, that it's more concentrated.”
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