"Godfather of AI" Geoffrey Hinton Says Tech Investment Can't Pay Off Without Destroying Jobs

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Geoffrey Hinton said companies investing trillions in artificial intelligence can only make their money back by eliminating human jobs.

The Nobel Prize-winning computer scientist told Bloomberg TV's Wall Street Week that replacing workers is the primary way tech companies will generate returns on their massive AI investments.

"The obvious way to make money out of it, apart from charging fees to use chatbots, is to replace workers with something cheaper," Hinton said in the interview.

When asked directly whether AI investments can pay off without destroying jobs, Hinton responded: "I believe that it can't. I believe that to make money you're going to have to replace human labor."

Tech Giants Betting on Job Replacement

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Hinton, known as the "Godfather of AI" for his pioneering work on neural networks, said major tech companies are deliberately planning for widespread job elimination.

"I think the big companies are betting on it causing massive job replacement by AI, because that's where the big money is going to be," he said.

The statement comes as four major tech companies - Microsoft, Meta, Alphabet, and Amazon - are expected to increase AI-related capital expenditures to $420 billion next fiscal year, up from $360 billion this year, according to Bloomberg.

OpenAI has announced infrastructure deals totaling $1 trillion with companies including Nvidia, Broadcom, and Oracle.

This Time Is Different

Hinton rejected the argument that AI will create new jobs to replace those it eliminates, challenging a common position among economists and tech leaders.

"Some economists say these big changes always create new jobs. It's not clear to me that this will," Hinton said. "And I think the big companies are betting on it causing massive job replacement by AI, because that's where the big money is going to be."

His comments align with statements he made in September 2025 to the Financial Times, where he predicted AI will "create massive unemployment and a huge rise in profits."

"What's actually going to happen is rich people are going to use AI to replace workers," Hinton said. "It's going to create massive unemployment and a huge rise in profits. It will make a few people much richer and most people poorer. That's not AI's fault, that is the capitalist system."

Why Left Google

Hinton left Google in 2023 after decades of AI research. He clarified his departure, addressing media reports that claimed he quit specifically to warn about AI dangers.

"I left because I was 75, I could no longer program as well as I used to, and there's a lot of stuff on Netflix I haven't had a chance to watch," Hinton said. "I had worked very hard for 55 years, and I felt it was time to retire. And I thought, since I am leaving anyway, I could talk about the risks."

Hinton, now 77, won the 2024 Nobel Prize in Physics for his work on machine learning. He is currently a professor emeritus in computer science at the University of Toronto.

AI Benefits and Societal Organization

Despite his warnings about job displacement, Hinton acknowledged AI's potential benefits when asked if he would go back in time and stop AI from developing.

"It's not like nuclear weapons, which are only good for bad things," Hinton explained. "It's a difficult decision, because it can do tremendous good in health care and education. It'll do tremendous good, and in fact if you think about it increasing productivity in many, many industries, that should be good."

He emphasized that the problem lies not with the technology itself but with how society distributes AI's benefits.

"The problem ultimately is not owing to AI itself, but on how we organize society," Hinton said.

In his interview, he used a specific example: "If you think about it, increasing productivity in many many industries should be good. The reason it's bad is because of the way society's organized. So that Elon Musk will get richer and a lot of people get unemployed and Musk won't care. I'm using Musk as a sort of stand-in. That's not on AI, that's on how we organize society."

The Bottom Line

Hinton's warnings carry significant weight because he invented the neural network technology that powers modern AI systems including ChatGPT, Google's AI platforms, and other major AI tools.

His message is direct: companies are investing hundreds of billions in AI because they believe replacing human workers will generate the returns they need. According to Hinton, the job displacement isn't an unintended side effect - it's the core business strategy behind these massive investments.