Bill Maris, founding CEO of Google Ventures, discusses his return to investing with a smaller Section 32 fund and argues that small funds outperform large ones due to focus and better incentives. He shares lessons from his career, including the importance of using data science in venture capital, and predicts that AI will evolve like gaming—moving from a 'command line' stage to immersive, ambient computing within five years. Maris also warns that Google could use its scale to undercut AI competitors by slashing token prices.
Summarized by Podsumo
Maris argues that small funds under $750M outperform large ones, with data showing 95% of top-decile DPI performers are in that range.
He compares the current state of AI to the early 'Atari command line' stage of gaming, predicting rapid evolution to 'PlayStation 10' in five years.
Maris suggests Google could crush AI rivals by cutting token prices by 80%, using its war chest as a weapon to grab market share.
He criticizes companies staying private longer, calling it unfair to retail investors and 401k holders who miss out on early value creation.
Maris shares a lesson from his early days: 'don't bet against computer science'—highlighting how Google Ventures used machine learning to design its portfolio and achieve top returns.
"If you apply the right kind of computer science at the right time to the right problem, you will get to the right answers. I would not bet against it. Even if it looks like you're tarring the roof in a thunderstorm."
"Small funds outperform large funds. This is simply the math. This is not an opinion I'm trying to convince you of."
"If I were Google, that's what I'd do... I'm going to give tokens out, 20 cents on the dollar. Every time they lower their price, I lower our price."