AI leaders soften warnings on job losses as industry reassesses impact
AI leaders like Nvidia’s Jensen Huang and OpenAI’s Sam Altman are retracting earlier warnings about mass job losses from AI, calling prior 'doomsday' predictions exaggerated or disingenuous. Huang criticized CEOs linking layoffs to AI, while Altman admitted his expectations of rapid job displacement were incorrect, noting fewer entry-level white-collar jobs have been eliminated than anticipated.
Top artificial intelligence executives are walking back alarmist claims about AI-driven job losses, arguing that earlier predictions overstated the technology’s near-term impact on employment. Nvidia CEO Jensen Huang dismissed the narrative that AI is responsible for recent layoffs, calling it an "irresponsible" way for leaders to appear knowledgeable. Speaking to Channel News Asia, Huang questioned how AI could have caused job cuts if it only became productive within the past six months, suggesting layoffs were instead tied to broader corporate decisions. OpenAI CEO Sam Altman also revised his stance, admitting at the Commonwealth Bank of Australia’s Accelerate AI Conference that the expected "jobs apocalypse" from AI has not materialized as quickly as feared. He noted fewer entry-level white-collar jobs have been eliminated than anticipated, acknowledging his earlier intuitions were flawed. Altman’s remarks followed Standard Chartered’s announcement to cut thousands of jobs by 2030, citing AI-driven efficiency gains, and Snap’s recent layoffs of 1,000 employees under similar justifications. Anthropic’s Dario Amodei, a frequent critic of AI’s societal risks, has also softened his tone, predicting that even with 90% of jobs automated, the remaining roles would require highly productive human workers. Huang previously clashed with Amodei, calling his warnings about AI’s impact "disingenuous," despite Anthropic’s success as a company. The shift in rhetoric from these industry leaders comes as public concern over AI’s workplace disruption grows, prompting a reassessment of its economic and social implications. While companies like Standard Chartered and Snap continue to attribute layoffs to AI-driven efficiency, Huang and Altman now argue that the technology’s role in job displacement has been overstated. Huang accused some executives of using AI as a scapegoat to justify workforce reductions, emphasizing that the technology’s broader economic benefits—such as job creation—have been underestimated. The revised stance reflects a growing industry consensus that AI’s long-term effects on employment remain uncertain, though its transformative potential is undeniable.
This content was automatically generated and/or translated by AI. It may contain inaccuracies. Please refer to the original sources for verification.