UNITED STATES — As AI integration in the workforce strengthens, the AI debate likewise grows. However, George Mason University economist Alex Tabarrok believes the debate misframes the AI revolution, arguing that it won’t lead to unemployment but to shorter workweeks.
The economist told the business magazine Fortune that “a 40% unemployment rate is the same as a 3-day working week.” He expanded this by stating, “60% of people employed and 40% unemployed is the same number of working hours as 100% employed at 60% of the hours.” The difference boils down to how society handles AI integration and distributes the gains.
Companies Are Choosing Not to Cut Down Work Despite AI-Driven Productivity
Tabarrok’s argument isn’t new. It was predicted by the English economist John Maynard Keynes, who claimed in the 1930s that by 2030 a 15-hour workweek would be possible—and this shortened-hours workforce pattern has already emerged in America.
In his analysis, Tabarrok’s calculations revealed that between 1870 and today, working hours have decreased by roughly 40%, yet unemployment hasn’t increased to match.
The economist is confident that AI will reduce work without increasing unemployment rates and will bring a more significant transition toward purposeful work and how time is allocated. This will lead to shorter weekends and clearer boundaries for employees.
However, one major obstacle to this vision is companies that aren’t “giving the hours back” and instead choosing to compress work by filling the gap with more output.
If executives choose to address this, society may see a valuable shift highlighted by more leisure without sacrificing corporate productivity. This way, the AI revolution wouldn’t be as disruptive as people thought.
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