Nvidia CEO Jensen Huang says AI will do parts of some jobs 1,000 times better — but it won’t completely replace people
Jensen Huang said that people who use automation are more likely to take other jobs.
Nvidia CEO Jensen Huang anticipates AI will do parts of some jobs 1,000 times better — but it will never replace the actual humans doing those roles.
“As we speak, AI has no possibility of doing what we do,” Huang said at Nvidia’s October AI Summit in Mumbai, India. “Depending on the jobs we do, it could do 20% of our jobs 1000 times better. For some people, it could do 50% of their job 1000x better. But in no job can they do all of it.”
When asked if he thought AI would take his job, he said: “Absolutely not.”
Instead, Huang said he saw an opportunity for the workforce to use AI to complete tasks and expedite their workflow. He envisioned a future where workers would apply AI as “assistants” to automate their tasks.
The real threat wouldn’t be AI taking over jobs — it’s more likely that “the person who uses AI to automate that 20% is going to take your job,” he said.
While AI has huge potential to improve workplace productivity, there are also concerns that it could disrupt the labor market by forcing people to switch jobs in the coming years.
The technology could bring about “12 million occupational transitions” by 2030, according to Kweilin Ellingrud, a McKinsey partner.
In 2023, Goldman Sachs produced a report speculating that AI could replace the equivalent of up to 300 million jobs — namely in the administrative sector. The report also outlined the potential for AI to create new jobs and kick-start more productivity in the workforce.
Huang has long been a proponent of using AI and co-pilots to automate tasks in the workforce. He previously said that he wanted Nvidia to be a company with “100 million AI assistants.”
“AIs will recruit other AIs to solve problems. AIs will be in Slack channels with each other, and with humans,” Huang previously said in an episode of the “Bg2” podcast. “So we’ll just be one large employee base if you will — some of them are digital and AI, and some of them are biological.”
