Jensen Huang on AI & the future of work
Huang argues that AI takes over tasks, not the purpose of a job, and that productivity tends to bring prosperity and more hiring, with radiology as his main evidence. He thinks AI lowers the barrier to technology, turns more people into coders and multiplies the use of existing tools. His advice is to learn to use AI now, since you are more likely to lose your job to a person using AI than to AI itself.
16 points · 7 appearances · 2023–2026
How the view evolved
Productivity brings prosperity, and prosperity brings more hiring → Radiology shows AI automates tasks yet grows jobs
In 2023 he hedged ("we'll see... my guess is") that AI-driven productivity would create more jobs; by 2026 he cited radiology as proof, said it was "so obvious this was gonna happen", and said the alarmists had done harm.
Up next
2023–2026 · changed view
“So in the early 90s, when we first started the company, we observed that in a software program inside it, there are just a few lines of code. Maybe 10% of the code does 99% of the processing. And that 99% of the processing could be done in parallel. However, the other 90% of the code has to be done sequentially. It turns out that the proper computer, the perfect computer, is one that could do sequential processing and parallel processing, not just one or the other. That was the big observation. And we set out to build a company to solve computer problems that normal computers can't. And that's really the beginning of Nvidia.”
2023–2026 · changed view
“When Nvidia started in 1993, we were trying to create this new computing approach. The question is what's the killer app? And the problem we wanted to the company wanted to create a new type of computing pro a computing architecture a computing a new type of computer that can solve problems that normal computers can't solve. Well, the applications that existed in the industry in 1993 are applications that normal computers can solve because if the normal computers can't solve them, why would the application exist? And so, we had a mission statement for a company that has no chance of success.”
2023–2026 · changed view
“I think I know what consciousness is the sense of experience the ability to know self versus the ability to be able to reflect know our own self the sense of ego I think all of all of those human experiences probably is what consciousness is but why it exists versus the concept of knowledge and intelligence which is what AI is defined by today it has knowledge it has intelligence artificial intelligence we don't call it artificial consciousness artificial intelligence the ability to perceive believe, recognize, understand, plan, perform tasks. Those things are foundations of intelligence to know things, knowledge. I don't, it's clearly different than consciousness.”
2023–2026
“That moment in time for our company gave us so much confidence. And the reason for that is you can succeed in doing something, inventing a future, even if you were not informed about it at all. And it's kind of my attitude about everything now. When somebody tells me about something and I've never heard of it before, or if I've heard of it, don't understand how it works at all, my first thought is always, how hard can it be? And it's probably just a textbook away. You're probably one arXiv paper away from figuring this out. And so I spent a lot of time reading arXiv papers, and it's true.”