Speaker
Bill Maris
Appearances over time
1 episodes
Episodes
1
Podcasts
Quotes & moments
Funds smaller than $750M averaged 4.76x DPI returns versus 2.42x for funds over $1B, according to Bill Maris's analysis.
Funds below $750M represented 95% of top decile venture performers, with discontinuous return compression above that threshold.
Bill Maris reminded the audience that the 75th percentile of venture funds loses money, making top-quartile persistence critical.
A $7B fund needing a 3x return requires $210B in exits — more than total venture-backed M&A and IPO exit value in most years.
Bill Maris estimated Google Ventures' returns at approximately 4.1x using publicly available data over the 2009–2018 period.
Bill Maris's Section32 has raised 6 funds averaging ~$400M in size, with all 6 performing in the top decile.
Bill Maris argued Google could unilaterally cut token costs by 80%, putting OpenAI and Anthropic under existential pricing pressure.
Bill Maris compared today's AI to the Atari command-line era and predicted it would reach PlayStation-equivalent sophistication within 5 years.
Bill Maris highlighted the mismatch between OpenAI's ~$1 trillion in spend commitments and only $60 billion in revenue, questioning the IPO math.
The transformation gaming underwent from text-based Zork to photorealistic modern games will happen to AI within the next 5 years, per Maris.
A $5B fund returning just 1.01x still lands in the 75th percentile of VC, illustrating the broken incentive structure of large fund management.
The fee structure means a GP managing a $5B fund at 1.01x makes more money than one running a $500M fund at a 3x return.
Bill Maris identified human biology and healthcare as probably the largest total addressable market in the world for deep tech investment.
Google Ventures' investment in Climate Corp — David Friedberg's company — resulted in a $1 billion exit to Monsanto.
Deep tech — historically slow, capital-intensive, and risky — is becoming more tractable because AI and physics engines are compressing development timelines. Maris sees healthcare and the full infrastructure stack of the AI revolution as the two primary deep tech opportunity sets.
At a 2009 inauguration where everyone else had a camera, one person livestreamed on a laptop. Maris uses this image to define what he looks for in founders: they know a secret about the future that most people don't believe yet.
When the roof of his apartment-cum-data-center leaked during a thunderstorm, Maris climbed up with a bucket of tar — and tarred himself into a corner while lightning struck nearby. The lesson: visionary entrepreneurs always look unhinged to the people around them.
When tasked with creating Google Ventures in 2007, Maris gathered every piece of venture data he could find and ran millions of portfolio simulations using machine learning — though Google refused to let him call it 'AI.' The result was a disciplined, data-driven fund strategy that Google executives thought was crazy.
The math is unambiguous: VC funds under $750M average 4.76x DPI versus 2.42x for funds over $1B, and represent 95% of all top-decile performers. Maris's six Section32 funds have averaged ~$400M in size and all landed in the top decile.
Google could arbitrarily cut token prices by 80%, making its model functionally identical to OpenAI's at a fraction of the cost — and Maris says this isn't speculation, it's the rational play. The compression on OpenAI and Anthropic's business models would go 'super critical.'
Today's AI is at the Atari command-line stage: brittle, turn-based, lacking memory and consistency — just like Zork in the 1980s. The leap to a PlayStation 10-level AI will come in 5 years, driven not by bigger models but by the same kind of infrastructure that transformed gaming: physics engines, controllers, and GPUs.
VC incentives are broken at every level: LPs write big checks to big funds to avoid blame, GPs earn more in management fees at 1.01x on $5B than at 3x on $500M, and naive founders take inflated $4B valuations over disciplined $100M ones. The pendulum will swing back — but not yet.
Maris founded Calico, invested in Flatiron and New Limit, and remains deeply interested in longevity — but says therapeutic clinical trials are a specialist area he's stepping back from. The real prize is computational biology: simulate a human cell in silico and drug discovery accelerates exponentially.
Bill Maris quit his Wall Street job in 1997 after spotting a server in an office closet and realizing he'd seen the future of the internet. He built a data center startup from his Vermont apartment — on credit cards, with servers in one room and a Home Depot rug for a bed in the other.
OpenAI is heading toward a public market with roughly $1 trillion in spend commitments against only $60 billion in revenue. Maris is skeptical retail investors and passive funds can absorb these valuations — and notes the S&P 500 rules are already being bent to accommodate them.
The gutting of the CDC and NIH, H-1B restrictions, and a pervasive anti-science cultural shift in the US are driving scientific talent to China and elsewhere. China is now actively recruiting top scientists from Europe and India — a talent pool that previously flowed to America.
Analysis
What they talk about
- Business 46%
- Technology 45%
- Science 9%
Connections
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