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Jensen Huang
Co-Founder, Chief Executive Officer, President & Director, NVIDIA

Nvidia CEO Jensen Huang calls for 'new social norms' in the age of artificial intelligence

📅 Jun 16, 2026 The Economic Times 18 MIN 35 SEGMENTS · 2 SPEAKERS
Nvidia CEO Jensen Huang — whose work helped enable artificial intelligence — stressed in an Associated Press interview ...

What Jensen Huang said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Jensen Huang said Nvidia is reinventing the computer for the first time since the IBM System 360 in 1964, moving from pre-recorded code to real-time problem solving. He predicted tens of trillions of dollars of new computers will be built over the next decade to replace the old infrastructure. He argued the US is behind in energy production, which President Trump has advocated to regrow, and that the US is world class in chips, infrastructure, and AI models but not in applications or energy. He called for new social norms around AI, urging everyone to try it. On export controls, he said they are a powerful tool if used precisely but warned against overuse. He said America already has a stake in AI companies through taxes and jobs. He described his first meeting with Trump as a dinner invitation, where Trump focused on jobs and re-industrialization. He said Nvidia had 95% market share in China before the ban and supports competing with last-generation products.

Key takeaways

  1. Huang predicts tens of trillions of dollars of new computers will be built over the next 10 years to replace old infrastructure.
  2. Huang said Nvidia had about 95% market share in China before the export control ban.
  3. Huang said America already has a stake in AI companies through taxes, jobs, and stock investments.

Numbers and commitments

FigureWhat it refers toTypeAt
63 years time since the computer was last reinvented, referencing IBM System 360 in 1964 timeline 0:00
95% Nvidia's market share in China before the export control ban metric 14:32
30 years duration Nvidia was in China before the ban timeline 14:32

Chapters

  1. 0:00Reinventing the computer
  2. 2:33AI improvements and truth grounding
  3. 3:24US manufacturing and chip plants
  4. 4:59Five layers of AI and US strengths
  5. 7:42Social norms for AI adoption
  6. 10:22Export controls and national security
  7. 11:34Government stake in AI companies
  8. 13:03First meeting with President Trump
  9. 14:32China market and competition
  10. 17:10Taiwan's role in supply chain

Questions asked in this interview

12
  1. 2:26What is the difference between the AI people are dealing with now versus the AI that's coming in the future that you're seeing that this factory is going to make possible?
  2. 2:48When you say grounded in more truth, what's that mean?
  3. 3:18And do you see AI as really driving the manufacturing reliable in the US?
  4. 4:57Where is the US strong and where is it not?
  5. 7:32Do you think the issue with AI is the technology itself that concerns people or the absence of social structures to adapt to something happening so fast?
  6. 8:39What is the social norm that you think would make people feel the most comfortable?
  7. 10:07Are export controls a good tool to use to have models get pulled back?
  8. 11:02And do you see national security as a major concern?
  9. 11:19Do you think that government ownership of the AI modeling companies is a good idea for the technology?
  10. 12:38And what did you say to him that made him go aha?
  11. 14:21What gives you confidence that China would be willing to accept a US-made AI ecosystem?
  12. 17:02Is that stitching even tighter now?
Jensen Huang 0:00 ↗
We're reinventing the computer for the first time in 63 years. This is just an extraordinary thing. Since the invention of the IBM System 360 in 1964, we're now reinventing the computer. You no longer have to code and no longer record information in advance, pre-recording information. It's able to now solve problems in real time. And so the way that the computer has to be built is radically different. We've now built about 60 years with the computer infrastructure, the internet, and all the computers that you know. We're now in the process of reinventing all of that, which is the reason why over the course of the next 10 years, we're going to be building tens of trillions of dollars of new computers to replace the old computers that we built over the last 60 years. The United States is woefully behind in energy production, which is one of the great things that President Trump has really advocated to regrow, I guess, the energy industry and to be a pro-energy growth industry again, because without energy, that entire infrastructure on top cannot be created and produced. And so the first thing is to make sure that we are a pro-energy growth country again. The technology is very powerful, so we have to build it with safety and security, and we have to build it with responsibility. We have to make sure that the regulations support it. But after that, once we do that, we need to make sure that the United States takes advantage of this new industrial revolution just as we took advantage of the last industrial revolution. We've been competing in China for a long time. We're doing just fine. Now, of course, whatever the decisions were that banned us from shipping to China, that decision was made and so be it. President Trump would like us to take our last generation products and continue to compete around the world. And the reason for that is this. It is a false choice. We could have national security. That is absolutely foremost. We want our technology industry to succeed around the world, and in order to do that, you have to compete. You could have national security, you have technology leadership, and you could have economic prosperity all at the same time. Our country has been doing that for a long time.
Interviewer 2:26 ↗
What is the difference between the AI people are dealing with now versus the AI that's coming in the future that you're seeing that this factory is going to make possible?
Jensen Huang 2:33 ↗
It'll be smarter, safer, better guardrail. It'll be grounded on more truth. It'll be able to do more things, be more helpful.
Interviewer 2:48 ↗
When you say grounded in more truth, what's that mean?
Jensen Huang 2:52 ↗
Less guessing and more research.
Interviewer 2:56 ↗
Less guessing and more research.
Jensen Huang 2:58 ↗
Even this year's AI has done a much better job being grounded in truth because it can even use the internet, do some search. It brings back some information, two or three different versions of the information. It might evaluate the information based on what you know, based on an evaluator to see which one is more likely to be truthful.
Interviewer 3:18 ↗
Yeah. And do you see AI as really driving the manufacturing reliable in the US?
Jensen Huang 3:24 ↗
No question about it. This is we're reinventing the computer for the first time in 63 years. This is just an extraordinary thing. Since the invention of the IBM System 360 in 1964, we're now reinventing the computer. You no longer have to code and no longer record information in advance, pre-recording information. It's able to now solve problems in real time. And so the way that the computer has to be built is radically different. We've now built about 60 years with the computer infrastructure, the internet, and all the computers that you know. We're now in the process of reinventing all of that, which is the reason why over the course of the next 10 years, we're going to be building tens of trillions of dollars of new computers to replace the old computers that we built over the last 60 years. And that's the cap access result. We can use this incredible new investment to re-industrialize the United States, which is the reason why we're building new chip plants. This is a new chip plant that produces lasers that allows us to take a chip that processes electricity, convert it to optics or light, send the light down optics, convert it back to electricity for another chip. So now we can connect chips that are literally separated by hundreds, thousands of feet and let those two chips be connected and work together. Incredible.
Interviewer 4:49 ↗
All right. Energy, chips, infrastructure, models, applications.
Jensen Huang 4:54 ↗
Yeah.
Interviewer 4:54 ↗
Five layers of AI.
Jensen Huang 4:56 ↗
Yeah.
Interviewer 4:57 ↗
Where is the US strong and where is it not?
Jensen Huang 4:59 ↗
Oh, excellent. I really appreciate that. First of all, people think that AI is this model and it is. That's one of the very important parts of AI. Just as the computer industry is not just Excel or Word, the application, it consists of all of the infrastructure that supports it. The five layer cake that you mentioned. The United States is woefully behind in energy production, which is one of the great things that President Trump has really advocated to regrow, I guess, the energy industry and to be a pro-energy growth industry again, because without energy, that entire infrastructure on top cannot be created and produced. And so the first thing is to make sure that we are a pro-energy growth country. Again, for chips, infrastructure, and AI models, we are absolutely world class. And then the layer above, the applications, this is applications used for radiology, for healthcare, applications for manufacturing, robotic systems, all of the different applications for the various industries. The top layer, the bottom layer, the top layer, I would argue that we are probably not world class. Now, the reason for that is because on the lowest layer, we just suffocated energy production for too long. At the highest level, we have to be careful because we're increasingly describing AI in a way that causes communities and populations to be somewhat concerned about it. I think that the technology is very powerful. We have to build it with safety and security and we have to build it with responsibility. We have to make sure that the regulations support it. But after that, once we do that, we need to make sure that the United States takes advantage of this new industrial revolution just as we took advantage of the last industrial revolution. You know, as you know, 300 years ago, the production of energy was invented in Europe, but somehow the United States took advantage of it. We industrialized it. We applied it. Companies like GE and all the appliances, and we celebrated the industrialization of our economy. With the internet, we did the same thing. With computers, we did the same thing. We have to be very careful that artificial intelligence, this new next generation of technology revolution, that we're also enthusiastic about adopting and make sure that we don't get left behind.
Interviewer 7:32 ↗
Do you think the issue with AI is the technology itself that concerns people or the absence of social structures to adapt to something happening so fast?

17 more exchanges in this transcript

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Cite this transcript

APA, MLA, BibTeX
APA

Huang, J. (2026, June 16). Nvidia CEO Jensen Huang calls for 'new social norms' in the age of artificial intelligence [Interview transcript]. The Economic Times. CEOInterviews.AI. https://ceointerviews.ai/interview/993011/

MLA

Jensen Huang. "Nvidia CEO Jensen Huang calls for 'new social norms' in the age of artificial intelligence." The Economic Times, 16 Jun. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/993011/.

BibTeX
@misc{huang2026_993011,
  author       = {Jensen Huang},
  title        = {Nvidia CEO Jensen Huang calls for 'new social norms' in the age of artificial intelligence},
  howpublished = {Interview transcript, The Economic Times. CEOInterviews.AI},
  year         = {2026},
  month        = {jun},
  url          = {https://ceointerviews.ai/interview/993011/},
  note         = {Speaker-attributed transcript with timestamps}
}