How Nvidia CEO Jensen Huang personally uses AI in his daily life: 'I am not asking it to think for me'
Nvidia CEO Jensen Huang has shared that he uses AI as a tool to learn and solve problems, not as a replacement for thinking. He stressed that asking the right questions is a key skill, both in using AI and in leading a company. Huang said much of ...

Speaking in an interview with Fareed Zakaria on CNN, Huang made it clear that he does not rely on AI to do his thinking. Instead, he sees it as a support system. He said, “I'm not asking it to think for me. I'm asking it to teach me things that I don't know or help me solve problems that I otherwise wouldn't be able to solve reasonably.”
He also pushed back on the idea that AI removes effort from work. As he explained, “I'm not exactly sure what people are using it for that would cause you to not have to think, but you have to think.”
A CEO’s job
For Huang, the real value of AI comes from how it responds to questions. And asking good questions, he says, is not easy. “For example, the idea of prompting an AI, the idea of asking questions, for example, you're spending most of your time today asking me questions. In order to ask good questions, it's a highly cognitive skill.”He linked this directly to his role at Nvidia. Running a company, according to him, is less about giving commands and more about exploring ideas through questions. “And as a CEO, I spend most of my time asking questions. And 90% of my instructions are actually, you know, conflated with questions.”
The larger debate around AI and thinking
Huang’s comments come at a time when researchers are trying to understand how AI tools are shaping human thinking. According to findings discussed by the Oxford Review, there has been a surge in studies examining AI’s influence on critical thinking and decision-making.Critical thinking involves analysing information, checking its reliability, forming conclusions, and even questioning one’s own assumptions. These are not passive skills. They need effort and awareness.
One main concern researchers point out is cognitive offloading, where people depend on tools like AI to reduce mental effort. While it can make tasks easier, too much reliance may reduce deeper thinking. Some studies also suggest that when users trust AI too much, they may stop questioning the outputs altogether.
Where Huang’s approach stands
Huang’s approach sits somewhere in the middle of this debate. He is not rejecting AI, far from it, considering he co-founded Nvidia in 1993 and has led it through the rise of GPUs and modern AI. But he is also not treating it as a shortcut.Instead, his usage reflects a more controlled way of working with AI. It is there to support thinking, not replace it. His emphasis on asking better questions also aligns with what researchers describe as higher-order thinking skills.
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