Nvidia’s CEO, Jensen Huang, isn’t just building the chips that power advanced AI models — he says he’s also using those models as his personal tutor.
“I use it as a tutor every day,” Huang said of tools like ChatGPT, Gemini Pro, and Perplexity. “In areas that are fairly new to me, I might say, ‘Start by explaining it to me like I’m a 12-year-old,’ and then work your way up into a doctorate-level over time.”
Huang was speaking at a panel at the 28th annual Milken Institute Global Conference on Tuesday. The mega-investment conference held in California this year draws global leaders, tech executives, and experts to discuss the future of finance, innovation, and global markets.
That kind of access, Huang says, is what makes this generation of technology a potential equalizer.
“Artificial intelligence is the greatest opportunity for us to close the technology divide,” he said.
“In this room, it’s very unlikely that more than a handful of people know how to program with C++,” he said. C++ is a specialized coding language used for building software.
“Yet 100% of you know how to program an AI, and the reason for that is because the AI will speak whatever language you wanted to speak,” he added.
Huang said everybody should take advantage of AI’s capabilities and “every student should use it as a tutor.”
“Don’t be that person who ignores this technology and this result loses you,” he added.
The AI revolution will also touch every job, Huang said.
Some roles will be lost, others created — but all will be transformed. “You’re not going to lose your job to AI,” Huang said. “You’re going to lose your job to someone who uses AI.”
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.”
Huang said in October at an AI summit in India that AI will do parts of some jobs 1,000 times better — but it will never replace the actual humans doing those roles.
Nvidia produces some of the most sought-after chips for AI models. In June, on the back of the AI wave, Nvidia hit a $3 trillion market cap for the first time. Its value has since dipped back down to $2.8 trillion.
