Jensen Huang | Does AI Revenue Justify Capex, '27 AI Bottlenecks, Singularity, Open vs Closed & more

Full Episodes
Can AI revenues justify the spending? Jensen Huang breaks down the biggest bottlenecks heading into 2027, the path to the singularity, open vs. closed models, and why he’s 99.99% optimistic about the decade ahead.
Jensen joins Brad Gerstner and Clark Tang for their third BG2 conversation, recorded days after the Xi State Dinner, the White House Accord on superintelligence, and his receipt of the National Medal of Science. They explore why building technology responsibly also means moving fast, how power constraints could shape AI’s next phase, and whether SpaceX could help put data centers in orbit. Jensen also explains why NVIDIA sees demand extending far beyond just two AI labs.

(0:00) Intro
(0:20) A Week at the White House & the National Medal of Science
(5:06) America’s Superpower
(6:37) Entering the Singularity: Where Are We Now?
(15:58) Navier-Stokes & the Falling Cost of Intelligence
(20:45) What Will We Do with Abundance?
(24:27) Physical AI & Robotics
(30:36) Building Responsibly
(36:46) Safety, Security & the Airbags Analogy
(40:59) What “America Winning” Means
(43:03) The Three-Legged Stool: America’s Superintelligence Framework
(47:07) 2027 AI Bottlenecks: The Compute Build Out
(51:47) 50 GW of Chips, 35 GW of Power
(55:26) Elon, Colossus & SpaceX
(57:20) Data Centers in Space
(1:00:33) Does AI Revenue Justify the Capex?
(1:06:04) Open vs. Closed Models
(1:11:35) Too Much Pressure on Two Labs
(1:13:26) AI Supply and Demand Dynamics
(1:17:37) Review of Wall Street Consensus
(1:19:40) Vera Rubin Ultra Orders
(1:23:49) Global Reach: Europe, Japan & Beyond
(1:35:57) The Decade Ahead: 99.99% Confident