Jensen Huang used a medal ceremony last Friday to make a case for artificial intelligence as a job creator, even as his company sits at the center of the industry reshaping work. The Nvidia cofounder and chief executive told engineers that intelligence is a general-purpose technology that will create new industries and brand-new jobs, while also making some existing ones unnecessary.
Huang, 63, received IEEE’s Medal of Honor and said the people building AI have a special obligation to push it toward a better future. “Engineers ultimately are the ones that take an invention and advance it in such a way that it’s safe, beneficial, ultimately transformative to society,” he said. “The engineers in the AI industry must advance AI in service of a better future for all of us, and I’m confident we will, as engineers have in every industrial revolution, before us.”
The remarks landed at a moment when Nvidia is now the most valuable company in the world, with a market value above $5.1 trillion, and Huang’s personal fortune has surged past $175 billion. The company employs thousands of engineers and has said it plans to double its current workforce to 75,000 employees over the next decade, a hiring push tied to surging demand from AI, energy and defense.
Huang’s confidence in engineering runs through his own path. Born in Taiwan, he moved to the United States as a child in the 1970s, first attended boarding school in Kentucky with his brother and later settled in Oregon. By 15, he was delivering newspapers, washing dishes at Denny’s and weeding yards. He graduated high school two years early, studied electrical engineering at Oregon State University and joined IEEE while he was there.
That background helps explain why he cast AI not only as disruption but as a force that will expand the labor market. “We now recognize this general purpose technology we call intelligence as an opportunity to create new industries, create brand-new jobs,” Huang said. “But of course, it will shape every job. Some will no longer be necessary. Many new ones will be invented beyond our imagination today.”
The framing also gives engineering a relatively sheltered place in the AI economy. Employment across engineering disciplines is expected to grow faster than the national average, according to the U.S. Bureau of Labor Statistics, a sign that the people building the systems may face less of the labor shock that AI could bring elsewhere. Nvidia’s expansion reflects that same bet, as the company keeps adding engineers to meet the demand generated by the technology it helped accelerate.
Huang’s message was not only about economics but about duty. He said the industry has to prove that AI advances society rather than simply replacing it, a standard that becomes harder to ignore as the technology reaches more workplaces. For Nvidia, the next decade now looks like a race to hire fast enough to keep up with that change.
That is the tension inside the AI boom: the same systems that could reorder jobs are also creating the need for more people to build, test and scale them. Huang is betting the future will look less like replacement than reinvention, and Nvidia is hiring as if he is right.