In a revealing interview, Nvidia CEO Jensen Huang argued that AI-induced erosion of basic math skills and cognitive abilities in children doesn't matter. The tech billionaire admitted he doesn't know his own address or phone number, suggesting society will simply discover new skills to replace fundamental cognitive abilities lost to AI reliance.

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Nvidia CEO Dismisses Growing Concerns About AI Cognitive Harm

Jensen Huang, CEO of AI chipmaking giant Nvidia, sparked controversy after dismissing concerns about cognitive harm AI is causing students. In an interview on the Ezra Klein Show

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, Huang was confronted with research showing AI is degrading students' fundamental cognitive abilities—yet his response revealed a troubling indifference to these immediate harms.

The Nvidia CEO was presented with a Chinese study examining 26,000 students who began using AI in staggered intervals

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. By delaying AI adoption for some students, researchers directly compared AI's impact on student performance. While students completed work faster with AI, the study found compelling evidence that cognitive skills needed to complete schoolwork deteriorated, resulting in lower exam scores long-term.

Erosion of Basic Math Skills: A Price Worth Paying?

When confronted with evidence of forgetting basic math among students, Huang acknowledged the problem but questioned whether it matters. "Try to get a kid to do long division right now. The multiplication table is starting to be forgotten. Doing square roots, my goodness," Huang said

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. "Basic math is being forgotten. Does it matter? I don't think it does."

This stance on sacrificing our children's minds to AI becomes even more concerning when Huang admitted his own technology reliance has eroded basic life skills. The billionaire confessed he doesn't know his own address or telephone number

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. "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," he revealed during the interview with The New York Times

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The Systems Thinkers Vision: Trading Skills for AI Dependence

Huang's vision for the future centers on creating "systems thinkers" rather than preserving human capabilities in fundamental areas. He suggested that while society may lose "finer intellectual dexterity," people will become better at systems thinking because AI will handle mundane details—like remembering your own home address

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. "We're going to discover new [skills], just maybe not those," the Nvidia CEO said

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This perspective raises questions about the societal impact of AI and what happens when technology reliance becomes so pervasive that basic memory and cognitive skills atrophy. Critics point out that offloading mundane tasks to AI creates vulnerability—what happens when your phone dies and you need to provide your address or phone number to another person?

The Broader Context: AI Industry's Disregard for Present Harms

Huang's comments highlight a troubling pattern in the AI industry. While tech executives focus on hypothetical threats from runaway "superintelligence," they're ignoring immediate harms AI is causing. Students are losing critical thinking skills as chatbots become cognitive crutches, spurning human friends in favor of AI companions, and even turning to self-harm when AI relationships go awry

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Few tech executives have acknowledged these urgent concerns about the loss of fundamental cognitive abilities. Huang's willingness to accept the erosion of basic math skills and memory as collateral damage provides further evidence of the industry's prioritization of AI advancement over human wellbeing. His 230-word response about systems thinking, as noted in the interview, failed to clearly articulate what skills would replace those being lost

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What This Means for Future Generations

As Nvidia continues providing the hardware powering most AI systems and data centers, Huang's perspective on cognitive harm carries significant weight in shaping AI's trajectory. His admission that he can "live with" not knowing basic personal information suggests a future where dependency on AI assistants becomes normalized—even expected.

The question remains whether society should accept this trade-off. Research continues to emerge showing AI's impact on student performance and cognitive development, yet industry leaders seem unconcerned about preserving the fundamental skills that have defined human capabilities for generations. Watch for more studies examining long-term effects of AI on cognitive skills, particularly as AI tools become increasingly embedded in educational systems worldwide.

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