Nobel laureate Geoffrey Hinton says humanity might have been better off without AI

Hinton's warning to The Guardian

Geoffrey Hinton, the neural-network researcher awarded a Nobel prize in physics for his foundational work in the field, has told The Guardian that it may turn out humanity would have been better off if artificial intelligence had never been developed at all.

The interview reached a wider audience through a Substack post by Jason Polak, published on 4 November 2026 and promoted to Hacker News' front page. According to the portion Polak quotes, Hinton — long counted among the founding figures of modern AI — also warned that the technology could set off a serious incident in the near term, on the scale of a temporary outage affecting financial networks or the electrical grid.

Polak characterises the Guardian article as taking a conventional line: it names the risk, criticises tech chief executives and Donald Trump, and concludes that regulation is required.

A contrarian reading: failure as a corrective

Polak's own response is deliberately provocative. An AI-caused blackout or financial meltdown, he argues, would be painful but would still rank among the least terrible outcomes the technology could produce. What he dreads is the alternative: AI grows steadily more capable, nothing dramatic goes wrong, and society quietly binds itself to it — consuming enormous amounts of energy, hollowing out intellectual communities and crowding out the natural world.

His reasoning is that people respond only to pain that arrives immediately. Nobody learns to avoid a hot stove from a warning label, he writes; they learn by being burned. In the same way, a failure severe enough to shake the financial system might be the only thing that would push the public to demand the closure of data centres and the companies running them.

Why he rejects AI safety work

Polak goes further and says he does not support ethical-AI or AI-safety initiatives. In his account, such efforts defuse the small early dangers that might otherwise serve as wake-up calls, while letting the technology dig itself deeper into daily life until removing it becomes impossible even under real threat. He also argues that because AI exists to automate creativity, there is no coherent version of ethical AI to begin with.

He even extends the argument to his own field. Mathematics is currently in a state of crisis and polarisation over AI, he notes, but he would prefer the technology to wipe out academic mathematics entirely — on the grounds that the discipline had already degenerated into an industry of theorem production, and that destruction would force a rebuild around more human-centred goals.

Polak closes with a claim about incentives: media outlets, executives and wealthy elites all have reasons to make any potential disaster sound as catastrophic as possible, because fear attracts readers, fuels interest in the technology, and is itself profitable.

Why it matters

Hinton is not a peripheral critic. He spent decades building the techniques that underpin today's systems, and his suggestion that humanity might have been better off without them is about as strong as a warning from inside the field can get. Just as notable is how the audience for such warnings is responding: rather than converging on a shared prescription, reactions are splitting between those who want tighter oversight and a minority, like Polak, who argue that only a costly, undeniable failure would break humanity's dependence on AI. One caveat is worth flagging — the Guardian interview itself is known here only at second hand, through Polak's post and the discussion it prompted on Hacker News.