#53 Ask Me Anything
It's been a year since my last Ask Me Anything session. A lot has happened since then across AI, marketplaces, macro, and the broader tech ecosystem. Here are the questions we covered: · 4:22 Why does AI feel so widely feared or disliked right now? · 8:48 Why is AI driving massive progress while politics and public systems lag behind? · 13:34 What are the real opportunities in commercializing AI today? · 14:10 Will startups still need human co-founders in an AI-first world? · 17:51 How important is a technical co-founder in the age of AI? · 20:00 Will intelligence (IQ) become irrelevant as AI improves? · 20:18 What skills should young professionals focus on in an AI-driven world? · 22:48 How should education evolve in the age of AI (and how should kids be taught)? · 26:40 What drives investor decisions at the earliest stages of a startup? · 28:23 How can pre-seed founders raise capital, especially outside the US? · 30:11 How might graph neural networks impact marketplaces? · 31:32 What does it take to win in marketplaces in regions like Latin America? · 33:10 What creates real defensibility in AI companies vs hype-driven growth? · 35:38 Are we in an AI bubble—and what does it mean for investors? · 37:30 What is the right funding path for startups that require large upfront capital? · 38:54 What proof do investors need before funding an early-stage startup? · 39:40 How has your marketplace investment thesis evolved in the age of AI? · 42:02 Where can founders find strong fractional developers? · 43:15 What defines AGI—and how should we think about it today? · 45:08 How important is the initial "wedge" in building a marketplace? · 46:29 How do you evaluate whether AI adoption actually creates value? · 48:00 What founder traits matter most today? · 49:45 If you were starting today, what would you build and why? · 52:32 Who are you beyond your professional identity? · 55:11 Do you still have insecurities—and how do you think about them? · 57:10 What would you do if you weren't an entrepreneur? · 59:45 What signals show a marketplace is reaching liquidity and product-market fit? · 1:01:19 What is the core defensibility of a marketplace from day one? · 1:02:24 What is Quince and why has it been so successful? · 1:04:22 Which "boring" industries will produce the next big companies? · 1:06:36 What is the biggest blind spot among VCs today? · 1:08:15 Which AI sectors are overcrowded right now? · 1:09:35 Can marketplaces succeed around complex, multi-service life events? · 1:11:41 How have fundraising expectations changed in the AI era? · 1:16:07 Should graduates join startups or big companies in 2026? · 1:16:21 Is being a generalist still a viable career path? · 1:18:35 Do investors prefer warm intros or cold outreach? · 1:19:55 Should startups use services as a wedge before becoming SaaS? · 1:22:02 What games or tools are best for child development and learning? · 1:24:39 Will AI cause massive job losses or unemployment? · 1:30:57 Can venture-scale companies be built in Latin America today? · 1:32:26 How should AI be used in operational decision-making? · 1:36:00 What separates massive marketplaces from niche ones? · 1:37:24 How much decision-making should be delegated to AI vs humans? · 1:39:10 What matters most in early-stage B2C startups: traction or insight?




