AI may mean 3-day workweek, not unemployment surge: economist
NEW YORK, UNITED STATES — Artificial intelligence (AI) is more likely to reshape how long people work each week than eliminate jobs outright, according to economist Alex Tabarrok, who argues that the debate over AI’s labor impact is being fundamentally misframed.
According to a report from Fortune, rather than mass unemployment, he says the future of work could center on shorter working hours, longer retirement, and expanded leisure time as productivity rises.
AI and the future of work hours
“The first thing that people think about when they think about reducing work is unemployment,” Tabarrok told Fortune.
“But reducing work could mean, you know, a shorter work week. It could mean a longer retirement, a longer childhood, more holidays,” Tabarrok added.
In his analysis, Tabarrok argues that fears of a labor market collapse overlook how work can be redistributed.
“Imagine I told you that AI was going to create a 40% unemployment rate. Sounds bad, right? Catastrophic even. Now imagine I told you that AI was going to create a 3-day working week. Sounds great, right? Wonderful even,” he wrote in his Marginal Revolution blog.
He added that both outcomes are economically similar: “60% of people employed and 40% unemployed is the same number of working hours as 100% employed at 60% of the hours.”
For Tabarrok, the key difference lies not in productivity itself but in how society chooses to distribute the gains from automation.
Productivity gains vs. corporate reality
While AI is already reducing the time required to complete tasks, companies are not yet translating those gains into shorter schedules for workers. Instead, many firms are increasing output expectations.
“I got the eight hours to two hours—but now I can get 20 hours of work, because the work came down,” said Michael Manos, chief technology officer at Dun & Bradstreet.
Google Cloud’s Yasmeen Ahmad observed that executives are “a little bit nervous” about AI’s implications but are largely keeping efficiency gains within firms rather than passing them on as reduced work hours.
Meanwhile, research cited in the discussion shows employees experiencing higher workload intensity, with some describing “AI brain fry” from managing multiple tools at once.
Despite these challenges, Tabarrok remains optimistic about the long-term trajectory of work. He points to historical evidence showing that working hours have already fallen significantly over time without triggering mass unemployment.
“If AI pushes that to 5% over the next 50 years, he said, ‘that would be great,’” the report noted.
The evolving meaning of work in an AI era
Looking ahead, Tabarrok argues that the real challenge will be adapting institutions to a world where productivity rises faster than labor demand.
“I think there’ll be interesting ways people are going to have to figure out how to best organize work life when fewer hours are involved,” he said, suggesting possibilities such as condensed workweeks or expanded holidays.
He also believes AI could unlock broader societal benefits beyond work reduction, including breakthroughs in healthcare. Even modest improvements in disease outcomes, he said, could generate enormous economic and human value.
Ultimately, Tabarrok frames the future of work not as a crisis of job loss, but as a transition in how time itself is allocated. Whether society embraces that shift toward more leisure or continues to channel gains into higher output may determine whether AI is seen as disruption—or liberation.
