Jensen Huang: How I’d Use AI To Improve My Work If I Were a Student Today
Nvidia CEO Jensen Huang shared key insights on how today’s students should approach artificial intelligence to enhance their future careers during a January interview that has gained renewed attention, according to CNBC. The tech leader, whose company’s chips power the majority of advanced AI applications worldwide, emphasized that learning to interact effectively with AI will be crucial for success across all professional fields.
“The first thing I would do is to learn AI,” Huang stated on the “Huge Conversations” show with Cleo Abram. He specifically mentioned tools like ChatGPT, Gemini Pro, and Grok as examples of AI systems students should become proficient with, regardless of their intended field of study.

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The Art of AI Prompting
Huang compared interacting with AI to the skill of asking good questions. “Learning how to interact with AI is not unlike being someone who’s really good at asking questions,” he explained. “Prompting AI is very similar. You can’t just randomly ask a bunch of questions. Asking AI to be an assistant to you requires some expertise and artistry of how to prompt it.”
This insight comes as LinkedIn’s 2025 Work Change report projects that 70% of the skills used in most jobs could change due to AI technology by 2030. Despite this projected impact, a 2024 study from Harvard Graduate School of Education, Common Sense Media, and Hopelab found that only 11% of Americans ages 14 to 22 currently use generative AI once or twice per week.
Universal Application Across Fields
A key aspect of Huang’s advice is its universal applicability. “If I were a student today, irrespective of whether it’s for math or science or chemistry or biology — doesn’t matter what field of science I’m going into or what profession — I’m going to ask myself, ‘How can I use AI to do my job better?'” Huang said.
This perspective aligns with Nvidia’s own trajectory, which has transformed from a gaming graphics company into the world’s leading AI chip provider. According to CNBC, Huang reported at Nvidia’s GTC conference in March that the company shipped 3.6 million Blackwell generation GPUs to major cloud service providers in early 2025, up from 1.3 million Hopper generation GPUs in all of 2024, illustrating the explosive growth in AI computing demand.
Nvidia’s Leading Position in AI
Huang’s advice comes from a position of authority, as Nvidia has become essential to the world economy through its dominance in AI chip technology. The company recently announced plans to build $500 billion in AI infrastructure in the United States over the next five years, a move praised by President Trump, who referred to Huang as “my friend Jensen,” as reported by CNBC.
During a tech conference in Washington, D.C. last month, Huang also discussed global AI competition, noting that “China is not behind” in artificial intelligence development. “China is right behind us,” Huang stated. “We are very close. Remember this is a long-term, infinite race.”

Looking to the Future
Huang’s vision extends beyond current AI applications. In January, he outlined at the CES conference how Nvidia’s expansion will stretch “from the warehouse floor to city streets and beyond,” encompassing not just data centers but applications in autonomous driving, robotics, and other physical AI systems, according to CNBC.
For students considering how to prepare for this AI-driven future, Huang’s message is clear: developing the ability to effectively prompt and interact with AI systems will be a crucial skill regardless of career path. As he frequently reminds audiences, this is a “long-term, infinite race” in which continuous learning and adaptation will be essential for success.
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