Jensen Huang: In the AI Era, What You Major in Doesn't Matter — Storytelling, Creativity, and Judgment Are the Real Moat

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NVIDIA CEO Jensen Huang, in an interview with Singapore's Channel News Asia (CNA) this week, addressed the anxiety surrounding "what major to study in the AI era": what you study doesn't matter — what matters is the ability to tell stories, creativity, and judgment. (Recap: Nvidia's Jensen Huang: English majors will "wash out" computer science, liberal arts students are the true tech elite of the AI era) (Background: Jensen Huang: AI Tokens should be included in engineers' salary structure, and have become a new hiring requirement in Silicon Valley) If you happen to have a student in your household about to enter university, you might recently be anxiously asking: "What major should my child study so they won't be replaced?" When NVIDIA CEO Jensen Huang was asked this question this week, his response was concise: "I think it doesn't matter what you study. Everything that mattered in the past will still be important in the future." He argues: rather than hiding in a subject "AI can't touch," you'd be better off learning to use AI to deepen any field of study. Storytelling is something AI cannot do for you In the interview, Jensen Huang named several fields he believes will continue to hold value in the AI era: journalism, narrative, art, and design. At first glance, this list runs counter to the mainstream market logic that "studying AI is safe." His reasoning lies in the essence of a certain ability. Taking journalists as an example, he said the best interviewers don't just do their homework thoroughly — they must also be able to "focus on the present, listen carefully, and respond flexibly." These three actions, taken together, describe a highly contextual form of judgment: knowing when to press further, when to be silent, when a single glance carries more weight than ten questions. AI can analyze transcripts and search for background information, but it cannot sense the pause when an interviewee's tone suddenly drops, nor can it judge whether that silence is evasion or the gathering of a heartfelt truth. "The ability to tell stories will be equally important now and in the future." This is one of the few direct assertions Jensen Huang made in this interview. So he believes you shouldn't get caught up in "which subject to choose" first. Instead, lay out your existing passions — whether literature, biology, music, or engineering — and then ask one thing: how far can AI push the speed of learning along this path, how far can it sharpen your craft, how far can it stretch your sense of life's meaning. When the subject of the question shifts from "what should I avoid" to "what can I amplify," the entire structure of the answer is rewritten. Does AI make people dumber? He directly rejects this assumption Another anxiety the public holds about AI is that "humans will degenerate due to over-reliance on AI." Jensen Huang challenged this assumption in the interview. His argument follows a historical analogy: every major wave of technology has ultimately amplified human ambition rather than suppressed it. He didn't use abstract theory but pulled this logic back to the PC era — those who refused to learn how to use personal computers were the ones ultimately replaced; those who learned to use PCs gained access to work previously beyond their reach. The same logic applies today: accountants who can't use Excel lose to accountants who can; financial professionals who can't use AI-assisted analysis will lose to peers who know how to let AI run the models while they focus on interpreting the results. Different tools, same logic. This analogy, transposed to the AI era, becomes his widely circulated saying: "You won't lose your job to AI — you'll lose it to someone who knows how to use AI better than you." Jensen Huang's judgment is that once AI automates the execution layer of many jobs, it will push humans toward higher-level tasks — those requiring judgment and creativity. This is a narrative of "the nature of work changing," not a narrative of "work disappearing."

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