All-In with Chamath, Jason, Sacks & Friedberg

Bill Maris: How Google Could Crush AI Competitors, Why Small Funds Win, and AI's Atari Stage

June 9, 2026

AI Summary

5 min read

Bill Maris, the founding CEO of Google Ventures, is back in the investing world with a new $150 million fund called Section 32. In a wide-ranging conversation, he laid out four hard-won lessons from his career—from starting a web hosting company in his Vermont apartment during a thunderstorm to building one of the most successful venture capital operations inside Google. The central argument of the episode is that smaller, more focused funds systematically outperform larger ones, and that the current moment in AI resembles the early, clunky days of video gaming—far from mature, but about to undergo a compressed revolution.

The Case for Small Funds

Maris’s core thesis is that fund size is the single most important determinant of venture capital performance, and that the math is unforgiving for large funds. He presented data showing that funds under $750 million have an average DPI (distributed to paid-in capital) return of 4.76x, while funds over $1 billion average just 2.4x. Over the period he studied, 95% of top-decile performers were funds below $750 million, with what he called "discontinuous return compression" above that threshold.

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What you'll learn

1 (00:02) **Bill Maris Returns with a Smaller Fund** - Maris introduces his new $150M fund, Section 32, emphasizing selectivity and financial return as the only metric.
2 (00:40) **Maris's Background & Four Lessons** - He outlines his credentials: founder of Google Ventures, incubator of Waymo, Calico, and founder of a web hosting company. He previews four life lessons.
3 (01:20) **Lesson 1: Glimpsing the Future** - In 1997, Maris saw a server in his Wall Street office closet, quit his job, and founded a data center company from his apartment, even tarring the roof in a thunderstorm to save the servers.
4 (04:45) **Lesson 2: The "Insanity" of Seeing the Future** - To see the future, you must appear insane to others. He uses the example of a man live-streaming a 2005 inauguration on a laptop, a secret he knew that others didn't.
5 (06:01) **Lesson 3: Don't Bet Against Computer Science** - At Google, he used machine learning (not "AI," which was banned) to design the ideal venture portfolio. The investments he led outperformed top-quartile VC returns.
6 (08:48) **Lesson 4: Why Small Funds Outperform** - Maris argues that funds under $750M have higher returns (4.76X) than larger ones (2.4X) and represent 95% of top-decile performers. Large funds require unrealistic exit values.
7 (11:48) **Discussion: Late-Stage vs. Venture Strategy** - The hosts debate whether a barbell strategy (small venture funds + large late-stage funds) is viable. Maris counters that the data doesn't support late-stage as a consistent trend and that it's a different craft.