A Godfather of AI Just Won a Nobel. He Has Been Warning the Machines Could Take Over the World.
Geoffrey Hinton hopes the prize will add credibility to his claims about the dangers of AI technology he pioneered
4 min
The newly minted Nobel laureate Geoffrey Hinton has a message about the artificial-intelligence systems he helped create: get more serious about safety or they could endanger humanity.
“I think we’re at a kind of bifurcation point in history where, in the next few years, we need to figure out if there’s a way to deal with that threat,” Hinton said in an interview Tuesday with a Nobel Prize official that mixed pride in his life’s work with warnings about the growing danger it poses.
The 76-year-old Hinton resigned from Google last year in part so he could talk more about the possibility that AI systems could escape human control and influence elections or power dangerous robots. Along with other experienced AI researchers, he has called on such companies as OpenAI, Meta Platforms and Alphabet -owned Google to devote more resources to the safety of the advanced systems that they are competing against each other to develop as quickly as possible.
Hinton’s Nobel win has provided a new platform for his doomsday warnings at the same time it celebrates his critical role in advancing the technologies fueling them. Hinton has argued that advanced AI systems are capable of understanding their outputs, a controversial view in research circles.
“Hopefully, it will make me more credible when I say these things really do understand what they’re saying,” he said of the prize.
Hinton’s views have pitted him against factions of the AI community that believe dwelling on doomsday scenarios needlessly slows technological progress or distracts from more immediate harms, such as discrimination against minority groups .
“I think that he’s a smart guy, but I think a lot of people have way overhyped the risk of these things, and that’s really convinced a lot of the general public that this is what we should be focusing on, not the more immediate harms of AI,” said Melanie Mitchell, a professor at the Santa Fe Institute, during a panel last year.
Hinton visited Google’s Silicon Valley headquarters Tuesday for an informal celebration, and some of the company’s top AI executives congratulated him on social media.
On Wednesday, other prominent Googlers specialising in AI were also awarded a Nobel Prize. Demis Hassabis, chief executive of Google DeepMind, and John M. Jumper, director at the AI lab, were part of a group of three scientists who won the chemistry prize for their work on predicting the shape of proteins.
Thinking like people
Hinton is sharing the Nobel Prize in physics with John Hopfield of Princeton University for their work since the 1980s on neural networks that process information in ways inspired by the human brain. That work is the basis for many of the AI technologies in use today, from ChatGPT’s humanlike conversations to Google Photos’ ability to recognise who is in every picture you take.
“Their contributions to connect fundamental concepts in physics with concepts in biology, not just AI—these concepts are still with us today,” said Yoshua Bengio , an AI researcher at the University of Montreal.
In 2012, Hinton worked with two of his University of Toronto graduate students, Alex Krizhevsky and Ilya Sutskever, on a neural network called AlexNet programmed to recognise images in photos. Until that point, computer algorithms had often been unable to tell that a picture of a dog was really a dog and not a cat or a car.
AlexNet’s blowout victory at a 2012 contest for image-recognition technology was a pivotal moment in the development of the modern AI boom, as it proved the power of neural nets over other approaches.
That same year, Hinton started a company with Krizhevsky and Sutskever that turned out to be short-lived. Google acquired it in 2013 in an auction against competitors including Baidu and Microsoft, paying $44 million essentially to hire the three men, according to the book “Genius Makers.” Hinton began splitting time between the University of Toronto and Google, where he continued research on neural networks.
Hinton is widely revered as a mentor for the current generation of top AI researchers including Sutskever, who co-founded OpenAI before leaving this spring to start a company called Safe Superintelligence.
Hinton received the 2018 Turing Award, a computer-science prize, for his work on neural networks alongside Bengio and a fellow AI researcher, Yann LeCun . The three are often referred to as the modern “godfathers of AI.”
Warnings of disaster
By 2023, Hinton had become alarmed about the consequences of building more powerful artificial intelligence. He began talking about the possibility that AI systems could escape the control of their creators and cause catastrophic harm to humanity. In doing so, he aligned himself with a vocal movement of people concerned about the existential risks of the technology.
“We’re in a situation that most people can’t even conceive of, which is that these digital intelligences are going to be a lot smarter than us, and if they want to get stuff done, they’re going to want to take control,” Hinton said in an interview last year.
Hinton announced he was leaving Google in spring 2023, saying he wanted to be able to freely discuss the dangers of AI without worrying about consequences for the company. Google had acted “very responsibly,” he said in an X post.
In the subsequent months, Hinton has spent much of his time speaking to policymakers and tech executives, including Elon Musk , about AI risks.
Hinton cosigned a paper last year saying companies doing AI work should allocate at least one-third of their research and development resources to ensuring the safety and ethical use of their systems.
“One thing governments can do is force the big companies to spend a lot more of their resources on safety research, so that for example companies like OpenAI can’t just put safety research on the back burner,” Hinton said in the Nobel interview.
An OpenAI spokeswoman said the company is proud of its safety work.
With Bengio and other researchers, Hinton supported an artificial-intelligence safety bill passed by the California Legislature this summer that would have required developers of large AI systems to take a number of steps to ensure they can’t cause catastrophic damage. Gov. Gavin Newsom recently vetoed the bill , which was opposed by most big tech companies including Google.
Hinton’s increased activism has put him in opposition to other respected researchers who believe his warnings are fantastical because AI is far from having the capability to cause serious harm.
“Their complete lack of understanding of the physical world and lack of planning abilities put them way below cat-level intelligence, never mind human-level,” LeCun wrote in a response to Hinton on X last year.
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Gold miners are emerging as a compelling way to navigate market uncertainty, with analysts pointing to strong cash flows, attractive valuations and rising profit margins. As gold prices stabilize above US$4,000 an ounce, mining stocks could offer investors both downside protection and long-term upside.
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Gold is one of the market’s go-to hedges in rocky times. Don’t forget that gold miners’ stocks are too.
The stock market’s gains in 2026 belie the rocky macroeconomic picture: elevated inflation, heightened geopolitical tensions, and jitters about the artificial-intelligence trade. That backdrop, in theory, should be the time for gold to shine. Instead, the price of the yellow metal has tumbled more than 5% so far, after last year’s blistering 65% rally. In part, the U.S. dollar’s recovery has stymied gold, which benefited from the greenback’s weakness in 2025.
Even with the precious metal’s recent weakness, gold mining stocks could be the best way to profit from this year’s uncertainty.
Gold miners “are a valuable hedge against macro risks that would likely be damaging for equities,” BCA Research’s Noah Weisberger and Rishabh Shah wrote this week.
Concerns about the Federal Reserve’s next moves to tackle inflation, the increasingly crowded AI trade, and steep valuations for tech stocks are just some of the drivers that could help gold’s price get on even footing— and lead to even bigger gains for miner stocks.
These stocks’ prices tend to outpace gold’s moves, because the companies have fixed operational costs. So when gold’s price rallies, their profit margins soar, and vice versa. For instance, the VanEck Gold Miners GDX +7.39% exchange-traded fund has fallen 11% this year as the metal has slumped.
Now, gold’s price just needs to stabilize to help miners’ stocks take off, and that seems to be happening. The precious metal has recently found support above the $4,000 level, and has stuck in a narrow range since the end of June. But its price rose ever so slightly in July, ending a four-month losing streak for the metal. Technical analysis also suggests that gold is due for a comeback.
Barron’s recently wrote that the pullbacks for both gold miners and the metal itself are overdone. Senior technical analyst Doug Busch noted that the VanEck ETF is on the “verge of a breakout” and has the potential to hit $11o in early 2027, up more than 40% from its current price.
Gold miners also have more than their role as a market hedge going for them. Their fundamentals are solid, too, says Chris Mancini, portfolio co-manager of the Gabelli Gold Fund.
“Precious metals miners are generating substantial amounts of free cash flow given profit margins of over $2,000 per ounce, and are returning this cash to shareholders through buybacks and dividends,” he said in an email.
“Buying the miners is a cheap way to get exposure to the price of gold,” he added. His fund owns Newmont NEM +6.71%, a Barron’s stock pick last year, and Agnico Eagle Mines as top holdings, as well as miners Northern Star Resources, Endeavour Mining, and Kinross Gold K+8.59%.
Miners are better businesses than they used to be, the BCA team added.
“Capex is more disciplined, margins are high and rising…and they are largely independent of the AI story,” Weisberger, BCA’s head of equities, and Shah, a senior analyst, wrote.
That last part is key. AI is disrupting the software industry and many other services and information-oriented businesses, and investors have piled into AI stocks. But ChatGPT, Claude, Grok, and other large-language models aren’t going to replace the need to mine for metals.
“Equity portfolios can benefit from exposure to quality that is uncorrelated to AI risk, and gold miners fit the bill,” the BCA team said.
They recommend that investors buy the VanEck Gold Miners ETF, which owns top miners such as Agnico, Barrick Mining ABX +7.24%, and Newmont.
An important bonus for big gold miners’ stocks is that their valuations are attractive after the gold’s pullback, too. The VanEck ETF is now trading at just a little more than nine times next year’s earnings estimates. That’s a big discount to its five-year average price-to-earnings ratio of 14, according to FactSet.
What’s more, the ETF is currently valued at a more than 50% discount to the S&P 500 SPX -0.17%, which is trading for about 19 times earnings estimates for 2027. Mining stocks have typically traded at just a 25% discount to the broader market over the past five years. So there is significant upside for the group if valuations move back toward normal levels.
One factor that complicates mining stocks as a market hedge, of course, is if stocks bounce back, which has been the case so far in August.
But both the market and economic outlooks remain cloudy, and investors remain nervous about the Fed’s next moves and AI stocks. Gold miners should do just fine, even if the anxious mood on Wall Street persists.
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