Gerstner explains SPAC costs are borne by SPAC shareholders through share dilution, not by the company going public.
“All the costs are borne by the shareholders of the SPAC who gave us part of their shares when we set up the SPAC as a finder's fee for helping them invest in a world class company.”
Gerstner describes SPAC fee structure where shareholders pay via dilution, similar to VC fund economics.
“I mean, it's very similar to our VC funds where we get paid for helping our investors invest in companies like Snowflake.”
Gerstner uses employee analogy to explain why B100 chips command premium pricing despite higher cost through 10x performance improvement.
“If you had an employee bill and you were paying them a $100,000 and I said, Hey, you ought to hire this other guy.”
Gerstner cites Morgan Stanley forecasting carbon offset spending rising from $2 billion to $100 billion by 2030.
“In 2020, Morgan Stanley estimates that about $2,000,000,000 was spent on the carbon offset market, and by 2030 they expect that to be $100,000,000,000 by these large hyperscalers that have to buy these massive carbon offsets.”
Gerstner says US productivity growth fell from 2.5-3% in 90s to 1.8% in 2000s to slowest ever in last decade.
“if you look at the 90s our productivity growth in The United States was about 2.5% to 3% a year, okay, and then in the 2000s it slowed down to about 1.8% and then the last ten years has been the slowest productivity growth”
Gerstner notes US is only 14% of China's exports and 3% of China's GDP.
“The US only represents about 14% of China's exports. The US only represents about 3% of China's GDP.”
Gerstner says frontier labs still capture roughly 90% of AI economics despite open source token share gains
“@Jason Agree. Grt competition! Share of tokens increasing at open source models (tho both still early in growth curve & growing rapidly). But share of wallet / AI economics continues to be ~ 90% to closed / frontier labs despite dire forecasts. The question is if / when changes. 🧐💰”
Gerstner counters slowdown narrative, calling OpenAI and Anthropic the fastest growing companies at scale in history
“@IbrahimAjami Really? OpenAI & Anthropic are the fastest growing companies at scale in history. And cooking - arguably extending their research leads & gaining share of wallet / economics. Open source is also thriving which is grt - but not zero sum. 🧐”