Gerstner says NVIDIA demand continues as customers must order chips five years ahead for infrastructure.
“Nothing is slowing down, Scott, because they have to place orders five years in advance for these products. They have to go find power.”
Gerstner says AI customers must place orders five years in advance and secure power and data centers.
“they have to place orders five years in advance for these products. They have to go find power. They have to find data centers”
Gerstner contrasts China building 350 nuclear reactors versus zero in the US.
“there are 350 nuclear reactors under fission reactors under construction in China. How many in The US?”
Gerstner reports Jensen said X.AI stood up data center infrastructure in nineteen days versus years for others.
“what would take somebody else years to get permitted, to get energized, to get liquid cooled, to get stood up that X dot ai did in nineteen days.”
Gerstner reports DeepSeek is massively compute constrained, causing server delays despite success.
“they are massively compute constrained right now. So you've seen some tweets about this, people that are, you know, getting server delay and all this stuff with with these guys because of their massive success.”
Gerstner highlights US fission reactors cost four to five times more and none are being built.
“Why does it cost us four to five times to build a fission reactor in this country? Why are we building no nuclear reactors in this country?”
Gerstner says $250 billion on NVIDIA implies $500 billion total AI CapEx spending.
“one of the things that keeps investors like me up in the nights is a 250,000,000,000 being spent on NVIDIA on on the semi side of things.”
“In 2023, these companies spent $150,000,000,000 on capex building out data centers. This year, over 500,000,000,000. Though, that's not speculative. That is purchase orders. Those are buildings. That's power.”
Gerstner says capex jumped from $150 billion in 2023 to over $500 billion this year in committed spending.
“In 2023, these companies spent $150,000,000,000 on capex building out data centers. This year, over 500,000,000,000. Though, that's not speculative. That is purchase orders.”
Gerstner says AI companies will spend over $500 billion on capex this year, up from $150 billion in 2023.
“In 2023, these companies spent $150,000,000,000 on capex building out data centers. This year, over 500,000,000,000. That's not speculative. That is purchase orders. Those are buildings. That's power.”
Gerstner compares the next three years of AI investment to building the interstate highway system, all privately funded.
“I think for the next three years, this is like building the interstate highway system. Right? This is significant. It's important to The United States Of America, by the way.”
Gerstner warns that 30-40% of compute is delayed this year, which could slow the entire AI trade if delays persist.
“And you heard the rumors and seen the headlines that 30 or 40% of compute now is delayed this year. So keep your eye on power and compute.”
Gerstner argues competition between frontier and open-source models is not zero-sum because both revenues fund American AI infrastructure.
“Brad Gerstner posted that he has heard claims frontier models are dead for 18 months yet argued competition with open source is not zero sum, as revenues from both are needed to fund the annual capex for American AI infrastructure.”
Gerstner relays Jensen Huang's view that nobody can stand up data centers as fast as Elon Musk.
“ The July pullback — Coreweave and semiconductor names down roughly 40% — was triggered by the open-source scare (Kimi and friends undercutting frontier revenues), because the entire edifice depends on frontier labs having the revenue to offtake the compute. If demand slips, the leverage cuts both ways and violently. Credit spreads on these deals remain wide — fear is already priced into the debt market. The counterweights: Gerstner relays Jensen Huang's assessment that nobody — not Microsoft, not Google — can stand up data centers at Elon's speed, and Jason's conviction that ”
An unnamed company appears to be positioning itself more as infrastructure than its previous business model.
“It looks like it’s being resolved in favor of being more of an infrastructure company,”