Geoffrey Hinton predicts AI-driven mass unemployment

Geoffrey Hinton predicts AI-driven mass unemployment

2 min read•Aug 16, 2026•
David Kim
David Kim

Geoffrey Hinton says AI is likely to cause massive unemployment, in a warning first reported by Fortune. He argues that AI systems sold as cheaper substitutes for human labor could leave millions of workers behind, while the number of new roles may not come close to matching the jobs eliminated during the transition.

Elon Musk believes most humans will not have to work at all in less than 20 years, and Hinton has described such predictions as plausible and likely. Nvidia CEO Jensen Huang predicts every job will be transformed and likely lead to a four-day workweek.

Hinton made the warning during a November 2025 discussion with Sen. Bernie Sanders at Georgetown University. He tied it to the roughly trillion dollars being invested in data centers and chips, saying one of the main sources of that money will be selling AI that can do workers’ jobs much more cheaply.

The economics of that push are also under scrutiny: Hinton has said the industry is driven less by scientific progress than by short-term profits. OpenAI, the maker of ChatGPT, is not expected to turn a profit until at least 2030 and may need more than $207 billion to support its growth, according to HSBC estimates published in November 2025.

The trade-off is plain: Hinton links AI investment to systems that do workers’ jobs more cheaply, while new roles may fall well short of those eliminated.

Sanders’ October 2025 report, based partly on estimates generated by ChatGPT, warned that nearly 100 million U.S. jobs could be displaced by automation. Workers in fast food, customer service and manual labor face some of the highest risks, while accounting, software development and nursing could also see significant cuts.

Sen. Mark Warner warned that disruption could hit young people first and hardest, potentially driving unemployment among recent college graduates as high as 25% in the next two to three years. He said failing to put guardrails on AI after doing nothing on social media would be a mistake.

Hinton has acknowledged that AI will create new jobs, but he does not expect them to approach the number eliminated. His broader caution is that the next year or two may be visible, while 10 years out offers no clear view of what will happen.

Plug-in vehicles reach 32% of global registrations in September

Plug-in vehicles reached 32% of global registrations in September, first reported by Cleantechnica. Battery-electric vehicles accounted for 23% of registrations and set a record at 1.54 million, up 8% year over year, while plug-in hybrids fell 9%; year to date in 2026, BEVs were up 12% and PHEVs down 10%.

Global plug-in registrations rose 3% year over year to around 2.16 million in September, close to the all-time record of 2.17 million set last December.

Year to date, plug-in registrations were up 4% year over year: BEVs grew 12%, while PHEVs fell 10%. Their combined share for 2026 stood at 25%, with BEVs at 18% and PHEVs at 7%. The overall growth rate therefore hides a clear split between the two categories.

The Tesla Model Y led the model rankings with a record 165,000 registrations, up 17% year over year. Tesla Model 3 came second with 65,000, enough to move ahead of Geely Xingyuan and BYD Song despite a 4% annual decline.

BYD Song finished fourth at 54,519 registrations, up 19% and the fastest growth rate among the top five. An export push and the new-generation Ultra body helped lift the model.

At the make level, Tesla had a record 232,000 registrations, up 9% year over year. Toyota reached 61,332 for its fourth record in a row, finishing ahead of Volkswagen’s year-best 58,000 to become September’s best-selling legacy make.