'Godfather of AI' Hinton Warns: Tech Giants Ignore Risks for Profit; Catastrophe May Trigger Regulation
Nobel laureate and 'Godfather of AI' Geoffrey Hinton warned in a Guardian interview that a major AI incident may be needed to spur effective regulation, citing the profit-first mindset of leaders like Zuckerberg, Musk, and Altman. He fears widening inequality and social unrest but believes there is still time to manage risks through concerted effort.
On November 4, 2026, TechRadar reported that Nobel Prize-winning computer scientist Geoffrey Hinton, widely considered one of the 'Godfathers of AI', expressed deep concerns about the future of artificial intelligence in an interview with The Guardian. While acknowledging AI's potential to create a better future, he warned that failure to manage risks could lead to a huge gap between rich and poor, massive unemployment, and society being torn apart.
Hinton specifically criticized the competitive dynamics within the AI industry. He stated that key figures such as Meta CEO Mark Zuckerberg, Tesla CEO Elon Musk, and OpenAI CEO Sam Altman understand the risks involved but prioritize profit over safety. "I think Zuckerberg and Musk and Sam Altman, they understand the risks, and they don’t give a shit. They’d rather have the money. That’s my belief," Hinton said.
Regarding regulation, Hinton proposed a troubling view: it may take a serious AI-related catastrophe—such as an attack on global financial systems or massive power brownouts—to prompt governments to implement effective oversight. He compared this potential turning point to the partial nuclear meltdown at the Three Mile Island power station in 1979, which led to significant reforms in US nuclear regulation.
Despite his pessimism, Hinton clarified that he is not an 'AI doomer'. "My gut is that we’re still in control," he added. "We might well be able to do something. It’ll only work if we put a big effort into it, but we might well put a big effort into it." He called for international collaboration to better understand and mitigate AI risks.