NVIDIA’s CEO has reaffirmed that AI will create hundreds of thousands of jobs, while reacting to the US’s policy shift towards China.
NVIDIA’s China Share Has Dropped To 0, Says Jensen Huang, But Says That AI Will Bring Trillions Into The United States Economy
Speaking at the latest episode of “Memos to the President”, NVIDIA CEO Jensen Huang once again strengthened the fact that AI will bring a boost to the US economy, rather than destroying existing jobs.
This follows Jensen’s recent statements on how AI in the Industrial Era of the modern world will bring manufacturing jobs back to the United States, generating hundreds of thousands of jobs, while boosting the economy with trillions of dollars of new investments. He says that companies that utilize AI will grow rapidly, and this growth will result in the creation of several new jobs.
Jensen also hit back at recent statements that state that AI is going to destroy existing jobs. There has been a perception that AI will take over regular human jobs, and Jensen uses software developers and engineers as an example. One may think that the key role of software engineers is to write code, and as Artificial Intelligence takes over the task of writing code, which it does much faster, there will be no purpose in the industry for them. However, it’s the other way around, writing code is just a task of a job, Jensen says it’s the purpose of the job that should be the key role at stake, and that evolves.
The facts are AI is our greatest, our best opportunity to reindustrialize the United States, to bring manufacturing jobs back to the United States. The facts are that it’s going to generate hundreds of thousands of jobs, trillions of dollars in new economy back into the United States. The fact of the matter is, companies that use AI have demonstrated the ability to grow faster. When they grow faster, they hire more people. Apparently, AI creates jobs.
And so the question is, why is it that on the one hand, I’m telling you AI creates jobs, on the other hand, they destroy jobs? Well, the very simple idea is this. Let’s pretend for a second that the total lines of code that we have to write in the United States is one billion lines of code. And that one billion lines of code was supported by 10 million software developers, and about a trillion dollars worth of economy. And that one billion lines of code are now going to be automated, because most of it is going to be written by AI. Well, if our job is basically typing, and one billion lines of code are now automated away, you would come to the conclusion a trillion dollars’ worth of jobs will be destroyed. But that’s fundamentally wrong for two reasons. The first reason is the task of our job, and the purpose of our job are related and not the same. If you apply that to me, you would come to the conclusion what Jensen does for a living is tap on phones and talk. And tapping on phones and talking, AI has done that just fine. And therefore, my job should be gone, but I’m busier than ever. And so there’s a fundamental difference between the purpose of the job and the task of the job. And so that’s one.
The second thing is, it is a fundamental flaw that we only need a billion lines of code written. We need a trillion lines of code written. We need, you know, a little bit of code written in that, because we have the imagination of solving problems, whether it’s in healthcare or science or, you know, in manufacturing and retail and just luxury living. All of the different fields that we have, we have lots and lots of imaginations of all the things that we can do. If we just didn’t have to type anymore, we can go and do those things. And so maybe it’s just because in the last 50 years, society has taken this one little device with a keyboard on it, consumed all of our lives to the point where we just can’t imagine living without typing anymore. And so we just, we’ll figure it out, you guys. I mean, you know, the idea that being human means to hunch over on this little thing, typing, all the time, you know, 50 years before that, people didn’t do that. And so in the future, we’re going to do less of that. We’re going to do more of something else.
Jensen Huang – NVIDIA CEO
For engineers, the purpose of their job isn’t to code, it’s to innovate, solve problems, find new problems, rinse and repeat. AI solved one task for Software Engineers, which is writing code, but AI requires some code or algorithm to be defined by a human to make it go.
As a matter of fact, Jensen needs software engineers, and many of them, because without them, there will be no task left for AI. Artificial Intelligence is getting better through unprecedented work being put in by developers and engineers, so they are a necessity in this field.
You could argue it’s kind of a fancy version of typing. And so the task is programming, coding. However, the skill, the purpose of the job is not programming. The purpose of the job is not coding. The purpose of the job is innovate, solve problems, connecting with collaborators, find problems that exist and solve it, find problems that nobody’s even expressed. It’s called innovation, connecting unrelated things, creating something new.
That’s the purpose of software engineering. And so our engineers, their purpose in life is to innovate, solve problems, move the company forward. It includes coding, but coding is not their job. Coding is their task. Some of what we do in their jobs. The next wave you’ve said is gonna be.AI is creating jobs. Anybody who’s saying that AI is wiping out jobs is scaring people, and it’s scaring people out of precisely the jobs that I need. The one thing that I hate for us to do is to tell all of the young people don’t be software engineers, because as it turns out, I need them.
Jensen Huang – NVIDIA CEO
Switching the discussion to China, Jensen states that the recent US policy changes don’t make a lot of strategic sense. The company’s share in China has dropped to nothing, and Chinese domestic firms are filling the gap rapidly. Huawei is one such example who have been racking up its AI share beyond 50 percent.
And the thing about China is that there are vast pools of resources there, from researchers to AI scientists, and then we also have to account for the massive energy infrastructure, which is huge for the creation of new AI facilities.
In China, we have now dropped to zero. Considering the entire market, the size of China probably doesn’t make a lot of strategic sense. And so I think that that has already largely backfired. Maybe it made sense at the time, but I think the policy really needs to be dynamic, and it needs to stay with the times. At this point in time, I think it would be fairly safe to say that having American chip companies and other companies in China makes a lot of sense
Jensen Huang – NVIDIA CEO
According to Jensen, China is the leader in the production of energy, but in terms of chips, the US produces the leading-edge chips in the world. So there’s some balance here. In terms of AI models, it’s a 40-50 split, China is approaching US-levels of AI models fast, and DeepSeek v4 is just one example.
There are several thousand models that China is pouring out, but again, China has lots of AI researchers, and that is something that Jensen calls a “Natural Resource” which they want to attract to the United States. So there needs to be a policy shift in getting that talent to the United States and making use of their expertise to drive the US economy up.
At the energy level, I think we can all acknowledge whether it’s the production of energy or the technology that we use or the technology that we use to produce our technology, our energy, they are the world leader. And so we are the world leader in chips. In AI models, I would say that we are ahead. We’re unquestionably ahead. They’re close behind. They have just such an extraordinary number of AI researchers.
And for whatever reasons, because of interest in science and math and the encouragement of the social fabric, they just have such extraordinary number of science and math experts. And as a result of that, the number of AI researchers in China is quite extraordinary. It’s one of their national treasures, if you will, greatest natural resource. And so we have to be mindful that we continue to attract that natural resource to the United States. We have to make sure that we welcome here, that they want to come here. And quite frankly, kind of concerned about many of them deciding to stay or not allowing to leave.
Jensen Huang – NVIDIA CEO
Emphasizing the creation of jobs once again, Jensen said that the emergence of AI and the current Agentic AI boom will help create several plants, and for this, NVIDIA has committed half a trillion dollars as a part of his “Five-Layer Cake” vision, so that they can bring the supply chain onto US soil. And the creation of these factories alone will generate more jobs in the fields of manufacturing and a high-skill ecosystem.
AI will cause us to create several plants. The first plant is chip plants. We’re the largest AI company in the world today. We committed half a trillion dollars to consumption so that we can bring the supply chain from the East into the West, back to the West, so that we can build chip plants and packaging plants, computer plants, so that we can build all of the manufacturing necessary for NVIDIA’s AI supercomputers to be built here and used here. So the first plants are chips. The second plants are associated with the computers themselves, and the third, putting these computers into AI factories. Altogether, we’re talking about trillions of dollars in manufacturing, high-skilled labor jobs. We’re gonna create enormous amounts of manufacturing opportunity here in the United States. That, I think, is the first thing we have to confront.
Jensen Huang – NVIDIA CEO
In conclusion, Jensen Huang paints AI not as a threat to employment, but as America’s greatest opportunity to reindustrialize, reignite manufacturing, and generate trillions in new economic value while creating hundreds of thousands of high-skilled jobs. By shifting focus from the narrow tasks of jobs (like writing code) to their true purpose—innovation, problem-solving, and discovery—AI amplifies human potential rather than replacing it, enabling faster company growth and broader opportunity.
While acknowledging the rapid advancements and vast talent pool in China, Huang urges a pragmatic, dynamic U.S. policy that attracts global AI researchers as a vital “natural resource” and keeps American leadership intact. With NVIDIA’s commitment of half a trillion dollars to reshore supply chains and build AI factories on U.S. soil, the message is clear: the AI era represents a historic chance for economic renewal, provided policymakers and society embrace it with vision rather than fear. The future of work will not be defined by less human effort, but by far greater human ambition.
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About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech’s Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.
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