Making Billions: The Private Equity Podcast for Fund Managers, Alternative Asset Managers, and Venture Capital Investors · Ryan Miller

Inside the AI Gold Rush: Who Wins, Who Gets Wiped Out

·1 hr 3 min·4 clips

Maria says AI “saved venture right now” and brought back a gold-rush feeling after liquidity problems.

1. Making Billions: The Private Equity Podcast for Fund Managers, Alternative Asset Managers, and Venture Capital Investors turns to AI’s effect on venture capital, ownership, and startup formation. 2. Ryan Miller hosts Maria Palma, a general partner at Freestyle VC, and her role matters because she is making early-stage bets in AI infrastructure and applications. 3. The episode asks what AI changes about venture power, who keeps value, and which companies can survive the “gold rush” without getting wiped out. 4. Maria says the power of the cap table has shifted because AI companies can demand different dilution terms as growth curves become more vertical. 5. She says seed strapping is real: a company can do a seed round and then grow so quickly and profitably that it may not need to raise again. 6. Maria connects that shift to AI tools that let founders build MVPs and product revenue without the same capital and headcount requirements of earlier eras. 7. She says Freestyle has moved more heavily into infrastructure over the last five to seven years, while applications are becoming fragmented across many smaller winners. 8. Maria says she is not broadly invested in foundational-model companies because Freestyle’s fund size is not structured for that part of the market. 9. She points to teams using different training subsets, symbolic AI, and other methods to improve accuracy from day zero. 10. Maria says some infrastructure companies add deterministic layers on top of probabilistic LLMs, including a QA company that is getting higher accuracy than direct prompts to Gemini. 11. She says over the last 18 months she has concluded that core technology defensibility is limited in most AI stacks, with execution defensibility doing more of the work. 12. Maria says unique data sets outside language, including molecules, chemistry, and pediatric poop samples, can still create durable advantages. 13. She says code generation is one of AI’s fastest-growing uses, but banks like JPMorgan Chase and Wells Fargo need security requirements that tools such as Cursor and Windsurf do not solve by themselves. 14. Maria says brand still matters, and she uses Lovable as an example of a company that benefits from customer love and recognition. 15. She lists AI-native stack opportunities such as marketing, product, back-office finance, internal communication, and knowledge bases for companies starting from scratch. 16. Maria also names agentic payments, robotics, and the future of compute, including photonic interconnects and quantum computing, as areas she watches closely. 17. Her tone is analytical and conversational, with Ryan Miller pushing on heuristics, founder judgment, and venture’s changing economics. 18. The format moves from market structure to defensibility to founder selection, then closes on resilience, trust, and what it means to build through setbacks. 19. Fund managers, AI investors, and founders who want a clear early-stage framework. 20. Listeners seeking startup storytelling without venture or AI context.

As heard by us

AI is redrawing the venture bar, and the episode follows the money to the landing.

Inside the AI boom, the episode asks what happens when venture capital starts pricing in a new speed limit. Ryan Miller and Maria Palma treat AI as a real lift for venture, but they keep coming back to the hard math: growth curves, IPO expectations, reserve allocation, and the…

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When AI resets venture math, you want the fund strategy behind the gold rush.

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