Quote · All-In with Chamath, Jason, Sacks & Friedberg
Bill Maris: How Google Could Crush AI Competitors, Why Small Funds Win, and AI's Atari Stage
Where this was said
VC's broken incentives and the future of deep tech
At 28:36 · chapter starts 25:23
The conversation turns darker when Friedberg raises the question of whether China and other countries are becoming more attractive destinations for scientific investment and talent. Maris doesn't hedge: the gutting of the CDC and NIH, combined with H-1B visa restrictions and what he calls an 'anti-science vibe,' has made it easier for scientists to just go elsewhere. [1] — Bill Maris "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 C…" 23:00 Friedberg adds that China has its own 'paperclip model' — aggressively recruiting top scientists from Europe and India, talent pools that used to flow to the United States. Maris is not triumphalist about this; he simply notes it's damaging, and calls for the 'neurological reserves' the US needs to maintain scientific leadership.
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.
Bill Maris highlighted the mismatch between OpenAI's ~$1 trillion in spend commitments and only $60 billion in revenue, questioning the IPO math.
A $5B fund returning just 1.01x still lands in the 75th percentile of VC, illustrating the broken incentive structure of large fund management.
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.
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.
