Altman: AI won't cut work hours because humans love staying busy

Sam Altman, CEO of OpenAI, recently discussed on the Relentless podcast why the promised four-hour workweek has not materialized despite decades of technological progress. "Technology, for a long time, has been promising people that they're going to work less and they're going to have all this leisure," Altman said, but acknowledged that "we never get the promise of the four-hour workweek at mass scale in society," nor does he expect AI to change that pattern.

Altman attributes this to fundamental human behavior. He notes that humanity has greater leisure time and higher quality of life than any previous era, yet this is not satisfying. "We always want more. We think of new things to do, to create for each other, to want for ourselves. It's like a relative game. People are very focused on how they're doing relative to other people," he explained. He believes that as technology makes work easier, humans respond by inventing new products, ambitions, experiences, and problems to pursue. Beyond economic motivations, he sees a genuine human drive to create, contribute, and feel useful—desires that will persist even when AI handles much of today's labor. "I think we're all going to be much busier than we thought we were supposed to be in a post-superintelligence world. We're still going to complain about it, but secretly we're going to be happy," Altman concluded.

The article notes that Altman's argument rests on the assumption of universally satisfying careers with creative outlets, which critics observe does not reflect many workers' actual experience of soul-crushing, monotonous jobs. Senator Bernie Sanders, appearing on the Joe Rogan Experience, argued that productivity gains from AI tools should be returned to workers as free time rather than filled with additional tasks.

Empirical evidence from real-world trials provides a counterweight to Altman's prediction. Four-day weeks without pay cuts have been tested in the UK, France, Japan, and Germany across both private companies and government organizations. An aggregated global study of these experiments found company revenue up 8%, worker fatigue down 10%, stress down approximately 35%, and overall productivity either maintained or increased—including a 40% productivity gain at Microsoft Japan. These results suggest that shorter working hours are operationally viable and may even enhance performance.

The promise of shorter workweeks through AI automation has been a recurring theme since the generative AI boom began, yet the article notes it has remained elusive. Altman's explanation centers on human psychology: rather than accepting leisure gains, people continuously reset their aspirations and measure themselves against peers, creating a perpetual cycle of new work. He frames this as part of broader human nature—beyond money and status, people seek meaning through creation and contribution.

However, the body presents direct empirical evidence that complicates Altman's prediction. Four-day-week experiments in developed economies (UK, France, Japan, Germany) have demonstrated measurable benefits without sacrificing output. The Microsoft Japan case is particularly striking: a 40% productivity increase suggests that not only can shorter hours work, but workers may perform better when less fatigued. Altman's reasoning assumes that technology gains will always be reinvested into new work, but the experiments suggest workers might instead prefer restored free time if offered the choice structurally. The tension between Altman's psychological argument and the empirical trial results remains unresolved in the article.