Summary

(0:00) Bill Maris joins the Besties! (0:33) Four critical lessons from a career in technology (5:58) Building Google Ventures with data and machine learning (9:51) Why small VC funds beat big ones on average (14:36) OpenAI's valuation problem and the AI price war (19:09) AI's "Atari Stage": what comes next? (25:23) VC's broken incentives and the future of…

Key takeaways

• Smaller venture funds (under $750M) statistically outperform larger ones, representing 95% of top-decile performers with average 4.76x returns versus 2.42x for funds over $1B—driven by math, focus, and portfolio construction constraints.
• AI is currently at an 'Atari command-line stage,' and the highest-value investment opportunities lie not in foundation models but in the enabling infrastructure—physics engines, controllers, GPUs, and platform layers—that will drive the next five years of transformation.
• Keeping high-growth companies private longer concentrates wealth among elite investors while forcing retail 401(k) holders to become 'bag holders' at inflated valuations during public offerings, undermining claims of building technology for humanity's benefit.

Why this matters

For institutional allocators and fund managers, Maris's data-backed case that fund size is inversely correlated with top-decile venture returns challenges the prevailing incentive structure driving capital toward mega-funds, with direct implications for LP portfolio construction and GP selection.

Entities

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Show notes

(0:00) Bill Maris joins the Besties! (0:33) Four critical lessons from a career in technology (5:58) Building Google Ventures with data and machine learning (9:51) Why small VC funds beat big ones on average (14:36) OpenAI's valuation problem and the AI price war (19:09) AI's "Atari Stage": what comes next? (25:23) VC's broken incentives and the future of deep tech Thanks to our partners for making this possible! EY - Agentic AI is introducing a new investment discipline. As AI shifts to consump

Themes

• openai
• machine-learning
• agents