What is technological unemployment?
Technological unemployment is job loss that occurs when new technology lets employers produce the same output with fewer workers, faster than the economy creates new work for the people displaced.
Also known as: technology-driven unemployment, automation job loss
Researched and fact-checked by AI, with no human review. 7 sources listed below. How we verify
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How Keynes used the term
Economist John Maynard Keynes used the phrase in his 1930 essay "Economic Possibilities for our Grandchildren". Readers, he wrote, would hear much more of it in the years ahead. He described it as unemployment that arises when ways of saving labor are discovered faster than new uses for labor can be found. Keynes treated it as a temporary adjustment problem. He predicted living standards in progressive countries would be four to eight times as high a century later.
Why automation has not ended work so far
In a 2015 essay in the Journal of Economic Perspectives, economist David Autor examined why decades and centuries of automation had not eliminated most jobs. Machines do take over some human work, he wrote, but they also make other work more productive, and the added output lifts demand for labor. New technology also changes the kinds of jobs on offer and how well they pay. He argued that public commentary tends to exaggerate how much machines substitute for people.
Some estimates of jobs at risk have nonetheless been large. A 2013 Oxford Martin School paper by Carl Benedikt Frey and Maike Osborne estimated that about 47% of total U.S. employment was at risk of computerization. It analyzed 702 occupations.
Where things stand in 2026
As of early October 2026, published evidence on AI and employment is mixed. The U.S. unemployment rate was 4.2% in September 2026 and had stayed between 4.1% and 4.3% since March, according to the Bureau of Labor Statistics.
An August 2026 update from researchers at the Stanford Digital Economy Lab drew on ADP payroll data through June 2026. They said they saw no economy-wide job displacement linked to AI. They did report a gap for workers aged 22 to 25 in occupations highly exposed to AI. Their employment was about 19% lower, they said, than if it had tracked that of same-age workers in less exposed occupations. That was up from 15% in the July 2025 data, they said. They linked the gap mainly to reduced hiring. They said the patterns are descriptive and do not show that AI caused them.
The Budget Lab at Yale reported in May 2026 that its analysis showed no clear evidence so far of AI effects on employment or wages. It said that could change quickly. Its tracker, updated in September 2026, reached a similar conclusion.
Sources
- Economic Possibilities for our Grandchildren, The Economics Network (essay by John Maynard Keynes)
- Why Are There Still So Many Jobs? The History and Future of Workplace Automation, American Economic Association (Journal of Economic Perspectives)
- The Future of Employment: How susceptible are jobs to computerisation?, Oxford Martin School, University of Oxford
- The Employment Situation - September 2026, U.S. Bureau of Labor Statistics
- No Widespread Displacement, but the AI Employment Gap for Young Workers Has Widened to 19%, Stanford Digital Economy Lab
- What We Do and Don't Know About How AI is Affecting the Labor Market, The Budget Lab at Yale
- Tracking the Impact of AI on the Labor Market, The Budget Lab at Yale
