AI industry expansion raises labor displacement risks, Geoffrey Hinton says

Highlights

Geoffrey Hinton warns that rapid AI growth and record capital investment in data centers and chips heightens automation risk, threatening large-scale labor displacement.
HSBC estimates OpenAI may require over $207 billion to sustain growth through 2030, with profitability not expected before that year despite surging investment.
An October 2025 report by Sen. Bernie Sanders forecasts nearly 100 million U.S. jobs at risk from automation with unemployment among recent graduates potentially hitting 25% within three years.

Warnings tied to AI investment surge

As reported by Fortune, Hinton says major technology companies are counting on AI systems to perform work now done by people at far lower cost. In a November 2025 discussion with Sen. Bernie Sanders at Georgetown University, he says many observers see mass unemployment caused by AI as a likely outcome, even if the exact timeline remains unclear.

He links that risk to the enormous capital flowing into data centers and chips, arguing that companies need revenue streams large enough to justify those investments. Hinton also says the industry is being pushed less by scientific progress than by near-term profit incentives, reinforcing pressure to automate human tasks.

His criticism comes as the business model behind AI is also under scrutiny. OpenAI, the maker of ChatGPT, is not expected to turn a profit until at least 2030 and may require more than $207 billion to sustain its growth, according to HSBC estimates published in November 2025.

Hinton left Google in 2023 so he could speak more freely about AI risks, and his profile has risen further since his machine learning research earned him the Nobel Prize last year. Even so, he says forecasts about AI's long-term effects should be treated cautiously because visibility beyond the next few years remains limited.

Policy concerns and workforce disruption

Hinton says AI will create some new jobs, but he does not expect those gains to match the number of roles eliminated. He compares long-range forecasting on AI to driving in fog, saying the outlook is relatively visible for a year or two but far less clear a decade ahead.

That uncertainty has not stopped policymakers from trying to measure the scale of possible disruption. In a report released in October 2025, Sanders warns that nearly 100 million U.S. jobs could be displaced by automation, with high exposure in fast food, customer service, manual labor, accounting, software development and nursing.

Sanders argues the issue reaches beyond economics because work is central to how people contribute to society and their communities. Sen. Mark Warner has also warned that the shock could fall especially hard on younger workers, saying unemployment among recent college graduates could climb as high as 25% in the next two to three years if AI develops without stronger guardrails.

For now, AI adoption continues to expand across industries, and experts say workers who adapt their skills and use the technology as a productivity tool are likely to be better positioned for the changes ahead.

In our earlier article on Nvidia’s potential investment in SB Energy, we covered financing talks around a large Ohio data center campus tied to OpenAI. We noted that the discussions included multi-billion-dollar equity funding, substantial credit support, and SB Energy’s IPO plans—highlighting how the surge in AI demand is driving ever-larger bets on chips, power, and data center capacity.

This material may contain third-party opinions, none of the data and information on this webpage constitutes investment advice according to our Disclaimer. While we adhere to strict Editorial Integrity, this post may contain references to products from our partners.