Commerce Sec. Lutnick and Nvidia CEO Jensen Huang in a fireside chat at G20 meeting — 9/2/2026

Watch on YouTube ↗  |  September 02, 2026 at 12:43  |  33:30  |  CNBC
Speakers
Jensen Huang — CEO, NVIDIA
Howard Lutnick — Secretary of Commerce

Summary

Jensen Huang and Commerce Secretary Howard Lutnick discuss AI as economic infrastructure at the G20 Innovation Ministerial. Huang argues countries must invest in energy, chips, data centers and local AI capacity, and frames Nvidia's general-purpose GPUs as the safest AI compute architecture. The conversation also covers robotics, AGI, job disruption and the need for balanced AI regulation.

  • Huang describes AI as a five-layer stack: energy, chips, infrastructure, models, and applications.
  • He estimates AI infrastructure buildout is in the tens of trillions, with about $1 trillion in U.S. investment this year.
  • Huang points to 100 GW of data center capacity being built by the end of the decade at $50-60B per GW.
  • Huang says Nvidia GPUs are general-purpose, fungible, durable and run every AI model; this is accelerating Nvidia growth.
  • He says AI is moving into physical robotics, self-driving cars, surgical robots and advanced manufacturing.
  • Huang argues AGI is near but jobs will be supercharged rather than eliminated.
  • He urges countries to adopt AI or risk being left behind and to balance safety regulation with prosperity.
Ideas
Jensen Huang CEO, NVIDIA 2:15
AI infrastructure buildout is a massive investment
AI is becoming economic infrastructure rather than a device cycle. Countries need to invest in the AI stack—energy, chips, data centers and local AI capacity—to participate; buildout is tens of trillions, with about $1 trillion being invested in U.S. infrastructure this year and 100 GW planned by the end of the decade at $50-60B per GW.
Jensen Huang CEO, NVIDIA 11:51
AI is expanding into robotics and hardware
AI is moving beyond software into agentic physical systems embodied in robots, self-driving vehicles, manufacturing arms, logistics/surgical robots and autonomous labs; this expands the AI opportunity to edge hardware, robotics and advanced manufacturing.
Jensen Huang CEO, NVIDIA 22:51
Nvidia is safest AI architecture, growth accelerating
Nvidia's GPU architecture is general-purpose, fungible, durable and runs every AI model and modality. Because AI infrastructure is expensive and models change quickly, customers view Nvidia as the safest architecture to invest in, which is why Nvidia's growth is accelerating.
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