Carolina Brochado on CNBC: Europe's Moment in AI, Capital, and the Future of Software
TLDR
- EQT Ventures head Carolina Brochado argues Europe’s AI opportunity is present now, not lost, but capital formation at growth and IPO stages remains the structural gap.
Key Takeaways
- Europe’s main constraint is late-stage capital: early ecosystems are strong, but growth and IPO stages still push companies toward US markets.
- European founders scale across multiple languages, regulatory systems, and markets from day one, forcing tighter capital discipline and earlier global thinking.
- Brochado identifies “physical AI” as Europe’s clearest edge: robotics, energy systems, and advanced manufacturing, citing EQT portfolio company 1X (Norwegian humanoid robots) as an example.
- AI is weakening some software moats by reducing build cost and speed, but proprietary data and network effects remain durable advantages.
- The talent and ambition are already present in Europe; the gap is capital formation across all stages and operational frameworks for scaling teams.
Why It Matters
- Europe has produced category-defining companies like DeepMind and Revolut from the same structural constraints that today make founders leaner and more globally oriented.
- The shift in software value is from build speed to what a company uniquely controls and how embedded it is in customer workflows.
- Physical AI, grounded in Europe’s industrial base and research institutions, is a distinct competitive lane from the US-dominated large-model and infrastructure race.
· 2026-04-01 · Read the original
