Computer scientist Geoffrey Hinton, often referred to as the "Godfather of AI," said artificial intelligence could lead to large-scale job losses as major technology companies bet on AI systems to replace significant amounts of human work. Hinton said earlier warnings from tech leaders including Nvidia CEO Jensen Huang, Elon Musk, and Bill Gates about AI reshaping the labor market are not unrealistic. In his view, the economic shift tied to AI could hit workers broadly and put many people under employment pressure. He added that while AI will create new jobs, the number of those positions may not be enough to offset the roles that disappear. Hinton also repeated a concern he has raised before: that the technology sector’s focus on short-term commercial gains is pushing companies to swap human labor for cheaper AI systems. At the same time, he said long-term predictions remain highly uncertain, comparing the future to driving through fog — with the next year or two somewhat visible, but little clarity on what the job market will look like in 10 years.
Geoffrey Hinton, the computer scientist widely known as the "Godfather of AI," said artificial intelligence could cause large-scale job losses as major tech companies bet on AI to replace substantial amounts of human labor.
Hinton said earlier forecasts from technology leaders including Nvidia CEO Jensen Huang, Elon Musk, and Bill Gates about AI reshaping the job market are not unrealistic. He said the economic transition tied to AI could bring broad disruption and leave many workers facing employment pressure.
New jobs may not cover the roles that disappear
Hinton said AI will create new employment opportunities, but the number of new positions may not make up for the jobs that are replaced. He has also previously warned that the technology sector’s heavy focus on short-term commercial interests is pushing companies to use cheaper AI systems in place of human workers.
Long-term impact remains difficult to predict
Hinton also said forecasting AI’s long-term effects is extremely difficult. "Predicting the future is like driving in the fog. You can still see the next year or two, but what will happen 10 years from now, we simply do not know," he said.
Even with those risks, Hinton said workers who can adapt to AI and use it to strengthen their own capabilities will be better placed to deal with changes in the future employment environment.
The report cited Fortune as the source.
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