thomas bigagli

Thomas argues AI has made software a commodity, driving ambitious founders toward deep tech where AI tools now solve hardware challenges faster and cheaper, creating untapped blue oceans.

AI has made software development so cheap and fast that ambitious founders are shifting to deep tech and physical AI where technical challenges remain unsolved; AI itself accelerates hardware/deep tech R&D making it faster and cheaper to bring to market.

AI has made software development commoditized, cheap and fast, driving entrepreneurs toward deep tech and physical AI where major pain points remain unsolved; AI itself accelerates hardware and deep tech development cycles.

AI reduces software costs and speeds up development, enabling physical AI startups to overcome historical hardware and go-to-market challenges, thus accelerating innovation and investment opportunities.

Europe's regulatory and market fragmentation hinders capital formation and causes startups to move HQs or cap tables to the US, but the same fragmentation creates unique localized pain points (e.g., multi-language, multi-currency) that spawn global category leaders like ElevenLabs and Revolut; long-term consolidation of the European market will unlock a unified talent and capital pool.

European venture capital funds remain slow and fragmented, limiting their capacity to write large checks and compete with US investors for top startups, creating a structural headwind for the region's VC ecosystem.

Thomas contends European VCs are structurally disadvantaged by slower decision-making and smaller ticket sizes at every stage, causing top European startups to either move HQ to the US or raise late-stage rounds entirely from American investors.

As AI democratizes software creation, the defensible opportunities shift to sectors where physical and technical complexity remain high — deep tech, hardware, and physical AI — because software moats are eroding while hard tech moats are strengthened by AI tooling.