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

with Bill Maris

9 Jun 2026 4 min read 28m

TL;DR

Bill Maris argues that small venture funds (under $750M) mathematically outperform large ones, with 4.76x average returns vs 2.42x for billion-dollar-plus funds. He also warns that Google could crush OpenAI and Anthropic simply by cutting token prices 80%, and compares today's AI to the Atari/command-line stage of gaming — with a PlayStation-level leap coming in the next five years.

Key Moments

Bill Maris

“funds smaller than 750 million average return of 4.76x and funds larger than a billion 2.42x 42x funds below 750 million across that time period represented 95% of top decile performers with discontinuous return compression above 750 million.”

Maris presenting his fourth lesson, making the mathematical case that small funds structurally outperform large ones.

▶ 10:19

Bill Maris

“if I were Google, that's what I'd do. Walk us through the scenario where Google decides with their war chest, with their money printing machine. You know what, their margin is my opportunity. I'm going to give tokens out 20 cents on the dollar.”

Maris explaining how Google could weaponize its cash position to undercut OpenAI and Anthropic on token pricing.

▶ 15:22

Bill Maris

“I think we're at the Atari command line stage of of AI and we're going to get to the, you know, PlayStation 10 stage in the next 5 years.”

Maris drawing an analogy between the evolution of the gaming industry and where AI is headed, arguing the transformation will be compressed into five years.

▶ 20:54

Bill Maris

“my objection is don't say you're doing this for the benefit of humanity and do the other thing.”

Maris objecting to AI companies that use public benefit language while keeping value creation locked up for elite investors and then offloading risk onto retail 401k holders at IPO.

▶ 17:21

Bill Maris

“if you have a $7 billion fund, and we do the same math, you you know, you've got to return 210 billion. 7 billion to to 70 * 3x is 210 billion which uh exceeds the total venturebacked M&A and IPO exit value in most years.”

Maris illustrating with arithmetic why mega-funds structurally cannot deliver venture-level returns.

▶ 11:23

About Bill Maris

›

Bill Maris is the founder of Section 32, a venture fund that has raised $150 million and invested in companies like Crowdstrike, Coinbase, and Cohere. He previously founded and led Google Ventures as its CEO, growing it into a multi-billion dollar fund, and served as Google's VP of Special Projects where he incubated Waymo, Google X, and Calico. Before Google, he founded a web hosting and data center company out of his Vermont apartment in 1997. He holds a degree in neuroscience and has been a vocal advocate for data-driven, smaller-fund venture investing.

Takeaways

Small funds win — it's math, not opinion Funds under $750M have averaged 4.76x returns vs 2.42x for billion-dollar-plus funds, and represent 95% of top-decile performers. The math is simple: a $7B fund needs $210B in exits to return 3x, which exceeds total venture-backed M&A and IPO value in most years. Fund size isn't a prestige signal — it's a structural constraint on returns.

Google can price-crush OpenAI into oblivion Maris argues Google could arbitrarily cut token prices by 80% at any time, obliterating the business models of OpenAI and Anthropic overnight. With a cash-generating search monopoly subsidizing its AI division, Google can sustain losses that startups burning investor capital cannot match. This is the existential threat that AI hype valuations are not pricing in.

Bet on AI infrastructure, not bigger models Just as better games required controllers, physics engines, and GPUs — not just better stories — AI's next leap will come from platforms and tooling, not larger foundation models. Maris is investing in the picks-and-shovels layer: computational biology, ambient computing infrastructure, and the machinery needed to solve AI's current limits like memory loss and session resets. We are at the Atari stage; the PlayStation era is five years away.