Nvidia’s Jensen Huang Defends AI’s Impact on Memory: ‘I Actually Don’t Know My Address

Nvidia CEO Jensen Huang has openly dismissed concerns that artificial intelligence is eroding basic human knowledge, telling The New York Times in a recent interview that the skills being lost among AI users — including his own — simply do not matter. Huang, whose company supplies much of the hardware powering the data centers behind most AI systems, acknowledged that research from China suggests AI tools help students complete homework faster while their retention of the underlying concepts deteriorates. Rather than expressing alarm, he argued that society is trading away “a lot of skills that don’t matter” in exchange for a new kind of intelligence.

The remarks came in response to a study indicating that while AI accelerates academic output, the cognitive abilities the work was meant to build were not being retained, with quiz and test performance declining sharply. Huang conceded that this erosion was likely affecting many students who lean on AI assistance, but he framed the trade-off as acceptable, if not inevitable. “Try to get a kid to do long division right now,” he said. “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.”

A Confession From the AI Industry’s Most Powerful Man

When the interviewer pressed Huang on whether any skills truly matter, the CEO agreed but questioned whether basic arithmetic was among them, suggesting humanity would instead “discover new ones.” He then delivered what he called his “first confession,” admitting that his own reliance on AI and other technology has left him unable to recall his home address or telephone number.

“My first confession: I actually don’t know my address. It’s completely true…[my wife] Lori will tell you. One day I had to pump gas—it was a few years ago. They needed my ZIP code, and I panicked. I didn’t know my ZIP code. I don’t know my telephone number. I forget these things. I can live with it.”

Jensen Huang, Nvidia CEO

Huang’s candor underscores a broader tension at the heart of the AI boom. As the technology becomes deeply embedded in daily life — from answering questions to navigating tasks — the line between tool and crutch grows increasingly blurred. Huang’s willingness to admit his own memory gaps signals a leadership philosophy that prioritizes forward momentum over the preservation of skills that older generations might consider essential.

He offered a reassuring counterweight to the worry, suggesting that while AI might diminish “finer intellectual dexterity,” humanity would instead become better “systems thinkers.” The phrase, which he elaborated on for roughly 230 words, has since become a shorthand for a future in which people rely less on rote memorization and more on understanding how complex systems — including AI itself — arrive at their conclusions.

What It Means for the Workforce and Beyond

The implications of Huang’s stance extend well beyond the classroom. If the most prominent figure in the AI hardware industry genuinely does not know his own address or phone number, it raises uncomfortable questions about the cognitive habits forming across an entire generation of users. Critics worry that a workforce trained to defer to AI could struggle with independent problem-solving, while proponents argue that the technology will free humans to focus on higher-level reasoning and creativity.

For parents, educators, and policymakers, the debate is far from settled. The Chinese research Huang cited points to a real risk: students may complete assignments more efficiently while their foundational knowledge weakens. Yet Huang’s response reflects a company and industry that has little incentive to slow down, given that his business model depends on ever-growing demand for AI infrastructure.

Looking Ahead

As AI continues to reshape education, work, and everyday life, Huang’s comments are likely to fuel ongoing debate about the balance between technological convenience and human capability. Nvidia’s hardware remains central to this transformation, and the CEO’s unapologetic embrace of AI’s cognitive trade-offs signals where the industry intends to head. Whether society accepts the “systems thinker” vision — or insists that basic math and memory remain essential — may well depend on the choices made in classrooms and boardrooms in the years to come.