Huang uses his own disintermediation by calculators in 1970 as an analogy for AI's impact on jobs today.
“I had a substantial advantage in the nineteen sixty's that I could calculate yields in my head. And then in 1970, they came out with the calculator.”
Huang warns that job displacement comes from competitors using AI, not from AI itself.
“You're not gonna lose your job to AI. You're gonna lose your job to someone who uses AI. So get to it. That's the most important thing.”
Huang claims the AI industry has created 600,000 jobs in the U.S. in recent years.
“We've already, in the last several years, created some 600,000 jobs. And we're gonna create a whole bunch of jobs here.”
Nvidia's expansion is creating jobs across chip manufacturing, packaging, computer assembly, and AI data centers.
“We’re creating jobs in chip plants, packaging plants, computer plants, and of course, all of these AI data centers.”
Huang believes AI will create jobs at an unprecedented scale because productive companies invest in growth rather than laying off workers.
“When companies are more productive, they don't lay off people, they hire more people. The reason for that is because companies have ambitions ⦠and I would say the vast majority of the world's companies ⦠have ambitions for growth. When they're more productive, when they're more profitable, [it] allows us to invest more and go after more growth. Nonetheless, overall, this is going to be a net job creator at a scale that we have never seen.”