Nat Friedman & Daniel Gross on the real signals in AI investing

Why it matters

Nat Friedman (former GitHub CEO) and Daniel Gross (Cue founder) are perhaps the sharpest AI angel investing duo today. This Stripe Sessions 2026 conversation with the Collison brothers dissects 'what AI has actually proven in production, and what it hasn't' — they're not talking investment thesis, they're talking 'what AI products are actually making money in 2026'. Unusually honest and concrete.

Key takeaways

• 'This is still the slow part of the singularity' — people get numb with each model release, but step changes continue and cumulative impact is severely underestimated.
• Real AI product traction concentrates in three areas: coding assistants, customer service agents, content generation — everything else is still 'experimental'.
• Open-source models' commercialization path isn't 'selling API access' — it's 'selling services around the model': fine-tuning, deployment, operations.
• 'Don't mistake a demo for a product' — many AI startups have stunning demos that quietly go offline three months into production.
• On the AI bubble: 'bubble doesn't mean AI doesn't work — it means valuations ran way ahead of revenue' — individual companies will blow up, but the industry thesis is right.