Real Reason Great Companies Stay Private Longer | Mike Collins CEO of Alumni Ventures

Nataraj speaks with Mike Collins, founder of Alumni Ventures, about how his firm opened up venture capital to individual investors through pooled funds and co-investing. They also dig into the structural problems in private markets, why companies stay private longer, and how AI is reshaping venture without eliminating the need for patience, judgment, and diversification.Key topics Mike Collins’ background in venture What Alumni Ventures is built to do How the alumni fund model works Why diversification matters in venture The long-term nature of venture investing Problems in today’s venture and public markets Why companies stay private longer AI, hype, and real innovation Why adoption is slower than demos How new venture firms get started Learning resources for retail investors Timestamps 00:00 - Introduction and why Alumni Ventures matters 00:24 - Mike Collins’ VC background and founding Alumni Ventures 01:24 - The mission: access and education for individual investors 03:59 - How an alumni fund is structured and invested 05:55 - Why pooled capital and network scale matter 06:24 - Venture capital as a core engine of the economy 07:28 - Why most individuals need private-company exposure 08:51 - Why venture portfolios need diversification 10:33 - Green D fund leadership and how team sourcing works 11:52 - How deals get allocated across multiple funds 13:11 - Venture as a long-term, slow-compounding asset class 14:07 - Building a venture allocation over several years 15:04 - Why checking investments too often looks like trading 16:44 - The biggest accessibility problem in venture today 17:42 - Why public-company incentives have weakened 18:43 - Why companies delay going public 20:16 - Late-stage private companies and who captures the upside 21:14 - Why SpaceX illustrates the privatization of gains 22:51 - Public versus private markets and the role of competition 24:19 - AI as a real platform shift, not just hype 26:15 - Big opportunities beyond AI: energy, defense tech, healthcare 27:41 - The cultural bias toward doom and negative headlines 29:37 - Why staying private can help companies like Stripe 32:40 - How AI capital concentration affects the broader venture market 34:53 - The Series A squeeze and how market corrections happen 36:49 - The main paths to starting a new venture fund 39:15 - Why great companies still take decades to build 40:29 - Why AGI timelines are often faster in theory than in reality 42:24 - Regulatory backlash and the slower pace of adoption 43:18 - Self-driving cars as a cautionary example for AI timelines 44:54 - Why the last 5 percent of product adoption is the hardest 46:58 - AI as a tutor for learning venture capital 47:53 - Books and frameworks for understanding startups and VC 49:18 - How to filter noise and think in decades, not days 50:44 - Why the best investors often do the least trading 51:50 - Mike’s core investing rules and closing thoughts