Nvidia CEO Jensen Huang has ignited a contentious debate about education and artificial intelligence by suggesting that basic math skills like multiplication tables and long division may no longer be essential for students in an AI-driven world. His comments, made during an appearance on a New York Times podcast, challenge conventional wisdom about foundational learning and raise questions about how AI will reshape what students actually need to know.

What Did Jensen Huang Actually Say About Math Education?

During the podcast interview, Huang responded to findings from a Chinese study involving over 26,000 students that revealed a troubling paradox: while AI-assisted homework boosted grades by 18 percent and cut completion time by 30 percent, monthly exam scores dropped 20 percent and long-term skill retention declined by 18 to 24 percent. Rather than viewing this as a warning sign, Huang suggested that certain foundational skills may have become obsolete.

"Try to get a kid to do long division right now. The multiplication table is starting to be forgotten. Doing square roots, my goodness. Basic math is being forgotten. Does it matter? I don't think it does. I don't think it does," said Huang.

Jensen Huang, CEO at Nvidia

Huang's argument centers on the idea that AI can handle routine mental tasks, freeing students to focus on higher-level thinking and problem-solving. He views the decline in traditional math skills as a natural evolution rather than an educational crisis.

Why Are Critics Pushing Back So Hard?

Huang's position has drawn sharp criticism from educators, parents, and technology observers who worry that abandoning foundational skills creates dangerous cognitive dependencies. Critics argue that basic math isn't just about getting answers; it's about developing critical thinking, logical reasoning, and the ability to understand how the world works.

The concerns raised by skeptics include several interconnected issues:

• Cognitive Development: Critics warn that skipping foundational basics erodes cognitive development and leaves people dependent on AI for tasks they should be able to handle independently.
• Problem-Solving Skills: Opponents argue that learning math teaches conflict resolution and critical thinking, two skills essential for being a productive contributor to society and maintaining healthy relationships.
• Long-Term Retention: The Chinese study itself showed that students using AI for homework experienced an 18 to 24 percent decline in long-term skill retention, suggesting short-term grade boosts don't translate to lasting knowledge.

One commenter on the debate noted the parallel to other lost skills: "That's probably true in the same way you don't need to know how to grow potatoes or how to make shoes. It will have consequences, though." Another skeptic suggested that the AI era itself may be temporary, arguing that "the AI bubble will burst so no, they'll have to learn skills and math as well".

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How Should Society Balance AI Capabilities With Essential Skills?

The tension between Huang's optimism and critics' concerns reflects a broader question facing educators and policymakers: how do we prepare students for an AI-augmented future without abandoning the foundational knowledge that enables independent thinking? The answer likely lies somewhere between two extremes. Rather than eliminating math education entirely, schools might reimagine how and why students learn these skills, emphasizing conceptual understanding over rote memorization while still ensuring students grasp the underlying logic.

Huang himself has expressed a more nuanced view in other contexts. In a separate appearance on The Ezra Klein Show, he acknowledged his deep concerns about the future and emphasized his commitment to responsible development. He stated that while he worries about potential negative impacts, he takes his work "extremely seriously" to ensure that society benefits from AI rather than being harmed by it.

"Everything is hard. But it turns out that's not society's problem, that's my problem. For society, what they should know is this: We're going to build our company, we're going to build our technology, I'm going to do my work so incredibly seriously that what they get to enjoy is my optimism," explained Huang.

Jensen Huang, CEO at Nvidia

The debate also touches on broader questions about technological adoption and inequality. If students from well-resourced schools learn to use AI effectively while maintaining foundational skills, while students from under-resourced schools skip the basics entirely, the result could be widening educational gaps rather than democratized learning.

What's at Stake in This Education Debate?

The disagreement between Huang and his critics isn't merely academic. It reflects genuine uncertainty about how AI will reshape the job market, what skills employers will value, and whether society can afford to let foundational knowledge atrophy. While AI tools are becoming increasingly capable and easier to use, the question remains: should accessibility to AI tools replace the human understanding that enables people to use them wisely and independently ?

The Chinese study that prompted Huang's comments offers a cautionary tale. The same technology that boosted short-term homework performance undermined long-term learning and exam performance, suggesting that convenience and capability don't always align with genuine education. As schools and parents grapple with how to integrate AI into learning, the challenge will be leveraging AI's benefits while protecting the cognitive development that comes from struggling with difficult problems and mastering fundamental skills.