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NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrative

Shownote

Even if ChatGPT never existed, the tech giant NVIDIA would still be winning. The end of Moore’s Law—says NVIDIA President, Founder, and CEO Jensen Huang—makes the shift to accelerated computing inevitable, regardless of any talk of an AI “bubble.” Sarah Gu...

Highlights

In a forward-looking conversation at the start of 2026, NVIDIA’s Jensen Huang joins Sarah Guo and Elad Gil to reflect on the transformative advances in AI over the past year and what lies ahead. Moving beyond the hype, the discussion explores how AI is reshaping industries, economies, and global infrastructure.
00:24
AI is emerging as a trusted tool in various fields
04:16
AI is infrastructure because it affects all applications, companies, industries, and countries.
09:08
AI automation increases productivity and creates more jobs
15:14
China's open-source AI models are now scoring highly on benchmarks.
18:39
The advantage in AI lies in the diversity of the entire stack, not a single monolithic model
21:56
The concept of God AI is unrealistic and not likely to appear soon
27:01
Lower AI costs enable millions of AIs to monitor each other for safety
29:30
Cost of building ChatGPT-level models dropped from billions to weekend projects on non-PC systems
35:20
Training is where compute scaling translates to intelligence
37:49
Coding is likely the first AI-native app to reach a billion in ARR
43:21
Foundation models for proteins and cells will revolutionize biological understanding and design
48:51
Everything that moves will be robotic, powered by AI as a general-purpose technology.
54:11
AI is the biggest driver for sustainable energy, surpassing policy-driven initiatives.
58:49
Decoupling from China is naive; the two countries are too deeply coupled.
1:13:04
The next five years will be extraordinary, especially next year.

Chapters

Jensen Huang Introduction
00:00
Biggest AI Surprises of 2025
00:17
AI and Jobs: New Infrastructure and Demand for Skilled Labor
04:12
Task vs. Purpose Framework in Labor
09:03
Solving Labor Shortages with Robotics
12:31
The Layer Cake of AI Technology
15:14
The Importance of Open Source
18:39
The Myth of “God AI” and Monolithic Models
21:52
Addressing the “Doomer” Narrative and Regulation
23:54
The Plummeting Cost of Compute and Tokenomics
29:25
The Return to Research
35:09
Future of Coding and Software Engineering
37:49
The Industries Due For Their “ChatGPT” Moments
43:20
The Evolution of Self-Driving Cars and Robotics
46:00
Energy Demand and Growth for AI
54:06
2026 Outlook: US-China Relations and Geopolitics
58:49
Is There An AI Bubble?
1:04:43

Transcript

Elad Gil: Jensen Huang, thanks so much for joining us today. Jensen Huang: So great to have you guys. What an amazing year. Elad Gil: What a year. Jensen Huang: Happy Hanukkah, Merry Christmas, Happy New Year, Happy Holidays. Sarah Guo: So, with everyt...