Just Because You Are CEO Does Not Make You A God, Jensen Haung Tells Fellow Tech Leaders
Nvidia CEO Jensen Huang is drawing a firm line against fellow tech executives making sweeping AI job loss predictions, warning that careless talk from influential figures can cause real damage to society. Speaking candidly, Huang said that becoming a CEO does not make someone an oracle “Somehow because they became CEOs, you adopt a god complex and before you know it, you know everything.”
His remarks take direct aim at a wave of high-profile AI job loss predictions that have alarmed workers and policymakers alike. Anthropic’s CEO has predicted 20% unemployment from AI, Microsoft’s AI chief has claimed most white-collar tasks will be automated within 18 months, and OpenAI’s Sam Altman has warned the world is simply not prepared for what is coming.
Huang points to radiology as a glaring example of how confident AI job loss predictions can miss the mark. About ten years ago, Geoffrey Hinton predicted AI would make radiologists obsolete. AI technology eventually did arrive in nearly every corner of radiology, but there is still a shortage of radiologists today. Hinton has since admitted he over-weighted the image analysis component of the role.
For Huang, the core mistake is confusing the tasks within a job for the job itself. Writing code is something a software engineer does, but it is not why software engineers exist problem-solving and building new things is. The same logic applies to radiology: reading scans is a task, but diagnosing disease is the mission. AI job loss predictions that blur this distinction, he argues, are fundamentally flawed.
Rather than painting a picture of mass unemployment, Huang says AI has actually created more than half a million jobs in recent years, and Nvidia itself is hiring more engineers than ever.
The pushback from one of the most powerful figures in the AI industry signals a growing tension at the top of the tech world between those fuelling anxiety over AI job loss predictions and those who believe the technology is being misread as a destroyer rather than a reshaper of work.
