For the past two years, students and parents have been asking the same question: What should I study to avoid being replaced by artificial intelligence?
It’s a fair concern. AI can now write reports, generate software code, analyze legal documents, create marketing campaigns, and even produce video content. Every new breakthrough seems to shrink the list of supposedly “safe” careers.
So when Nvidia (NASDAQ:NVDA | NVDA Price Prediction) CEO Jensen Huang was asked what children should study to stay relevant in the AI era, his answer caught many people off guard.
“It won’t matter.”
At first glance, that sounds shocking, but the deeper message may be even more important for investors, workers, and students alike.
Huang’s Real Message Isn’t About Degrees
In an interview with Channel NewsAsia, Huang argued that parents shouldn’t obsess over finding an “AI-proof” major. Journalism, storytelling, design, arts, and other traditionally human-centered disciplines will still matter in an AI-driven world, he said. Instead of choosing a field based on fear, students should ask how AI can elevate their learning and expertise.
That’s consistent with comments Huang has made for years. Back in 2024, he even suggested that coding itself might become less important as AI increasingly writes software. His argument was prescient, but also that people should focus on domain expertise while AI handles more of the technical work.
In other words, Huang isn’t saying education doesn’t matter. He’s saying AI will become so widespread that every field will use it. If that’s true, there may not be any truly AI-proof degrees because there may not be any AI-free industries.
The Contradiction Investors Should Notice
Huang has repeatedly pushed back against the idea that AI is eliminating jobs. Recently, he called the narrative connecting AI to layoffs “lazy” and said claims that AI is causing widespread job losses don’t make sense given how recently generative AI tools became broadly useful.
Granted, there’s some truth to that argument. Many companies were cutting workers long before ChatGPT arrived.
Yet you also can’t ignore reality. Over the past two years, numerous companies across technology, media, finance, customer service, and consulting have announced workforce reductions while simultaneously increasing AI investments. Some executives have explicitly cited AI-driven efficiency gains as a reason they need fewer employees.
That’s not surprising. Nvidia’s entire business is built around selling the GPUs powering this transformation. Nvidia generated $215.9 billion in revenue during fiscal 2026 as enterprises rushed to build AI infrastructure. Every time a business uses AI to automate a task previously performed by a human, demand for Nvidia’s hardware potentially rises.
That doesn’t make Huang wrong. But it does mean investors should understand the incentives involved.
What This Means for Workers and Investors
The most important takeaway from Huang’s comments isn’t that degrees no longer matter. It’s that adaptability matters more.
Surprisingly, Huang may be right that AI won’t eliminate entire professions overnight. What it will do is change nearly every profession. Journalists will use AI. Lawyers will use AI. Engineers will use AI. Designers will use AI. Doctors already are.
The workers who thrive may not be those with “AI-proof” degrees. They may be the ones who learn how to use AI better than their peers.
That aligns with another Huang observation: people are more likely to lose opportunities to someone using AI effectively than to AI itself.
Key Takeaway
In short, Jensen Huang’s “it won’t matter” comment is less about college majors and more about the future of work itself. His argument is that AI will become as universal as the internet or smartphones. If every profession uses AI, then no degree enjoys permanent protection.
That said, investors should separate Nvidia’s optimism from labor market reality. Huang sells the picks and shovels powering the AI revolution, and Nvidia has every reason to emphasize AI’s benefits. Meanwhile, companies continue looking for ways to reduce labor costs through automation.
The question is no longer which careers AI will affect. Huang says it no longer matters. AI will become so pervasive that only those who learn to use AI — no matter the job — will be able to thrive.