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Nvidia’s Huang and Trump Reject Calls to Slow AI

2 reports · First detected 2026-09-15 · Last active 2026-09-15

The AI industry is dividing over whether frontier-model development should slow to give safety measures time to catch up. Anthropic CEO Dario Amodei intensified the debate on Sept. 12 with a 3,800-word essay warning that, within six to 12 months, swarms of AI agents could potentially seize control of the internet and cause hundreds of billions of dollars in damage. Nvidia, the dominant supplier of AI accelerators, has a direct stake in continued data-center spending and rapid deployment.

On Sept. 14, Nvidia CEO Jensen Huang took a call from US President Donald Trump while appearing at the All-In Summit in Los Angeles and put the president on speakerphone. Trump dismissed fears surrounding AI and data centers as a hoax, saying robots would not take over the world. Huang echoed Trump’s opposition to a slowdown and said Nvidia would work to ensure every US industry, company and state benefits from the AI race, underscoring his split with Amodei and other technology executives.

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Nvidia’s Jensen Huang Rejects AI Job-Threat Claims, Says Tasks — Not Jobs — Are Being Automatedfirst seen 2026-05-10 · 1 reports · similarity 0.77 · same topic: Jensen Huang

As generative AI becomes more widespread, businesses continue to debate whether automation will lead to a sharp decline in white-collar jobs. Nvidia CEO Jensen Huang argues that people often mistake individual “tasks” that AI can perform for entire jobs, overlooking the continued need for humans to define objectives, solve problems and drive innovation. He says that distinction is crucial to companies’ workforce and transformation strategies.

Huang recently rejected claims on a podcast that AI would eliminate white-collar jobs, accusing some successful people of spreading groundless fears because of a “God complex.” He stressed that AI can automate specific tasks but does not eliminate the purpose of a job. Available reports did not provide the podcast’s air date, quantitative employment data or any financial figures.

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