AI chiefs walk back job apocalypse warnings
AI leaders Nvidia’s Jensen Huang and OpenAI’s Sam Altman are retracting earlier warnings about AI-driven mass unemployment, arguing such claims were exaggerated or misused to justify layoffs. Huang criticized fellow CEOs for falsely linking job cuts to AI, while Altman admitted his own predictions about rapid job displacement were incorrect, citing slower-than-expected automation in entry-level roles.
Leading figures in artificial intelligence are backtracking from dire predictions about AI causing widespread job losses, as the industry faces growing public skepticism over its impact on employment. Nvidia CEO Jensen Huang dismissed claims that AI is responsible for recent corporate layoffs, calling the narrative ‘lazy’ and ‘irresponsible.’ Speaking to Channel News Asia, Huang argued that AI has only recently become productive, making it illogical to blame it for workforce reductions that occurred years earlier. He emphasized that AI will likely create as many jobs as it displaces, warning that exaggerated warnings are needlessly alarming the public. OpenAI CEO Sam Altman also softened his stance, admitting at the Commonwealth Bank of Australia’s Accelerate AI Conference that AI has not yet triggered the ‘jobs apocalypse’ he once feared. He noted that fewer entry-level white-collar jobs have been eliminated than expected, acknowledging his earlier predictions were ‘off.’ Anthropic’s Dario Amodei similarly scaled back his warnings, suggesting that even if 90% of jobs are automated, the remaining 10% would require highly productive human workers. The shift comes as OpenAI and Anthropic prepare for high-profile IPOs, where investor confidence may hinge on more balanced messaging. Earlier doom-laden statements have fueled public discontent, particularly in the U.S., where polls show growing unease about AI’s societal disruption. Economic institutions, including the European Central Bank, have also reported minimal job displacement from AI so far. Companies like Standard Chartered, which plans to cut thousands of jobs by 2030 due to AI-driven efficiency gains, and Snap Inc., which laid off 1,000 employees last month citing AI advancements, continue to frame layoffs as necessary for profitability. However, AI executives now appear to be distancing themselves from the idea that these reductions are a direct result of automation, instead emphasizing AI’s potential for job creation.
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