The future of the five-day workweek is being called into question by Zoom CEO Eric Yuan, who suggests a three-day schedule could become the norm within the next decade.
Speaking to the Wall Street Journal, the Zoom chief said bluntly: “I hate working five days,” adding,
“I’m pretty sure we really do not need to work for five days.”
Yuan argued that AI will be the key force reshaping how long people need to spend working, with productivity gains making the traditional week increasingly hard to justify. While the five-day model has dominated for decades, he suggested that it may soon be replaced as organizations rethink how work is structured in an AI-driven environment.
AI Agents and the Case for a Shorter Workweek
Contrary to the broader narrative that AI will primarily lead to job displacement, Yuan’s view is that AI will act as a net positive for workers by reducing the number of hours they need to work rather than eliminating roles altogether.
At the center of his argument is the rise of AI-driven “digital agents,” which he believes will take on a significant share of routine tasks:
“I do not think we need to work for five days because we all will employ so many digital agents.”
These agents are expected to handle repetitive but essential work such as responding to emails, managing calendars, and participating in meetings. In effect, they would operate as digital assistants embedded across workflows, reducing the need for continuous human involvement in administrative tasks.
Yuan has already begun experimenting with this shift. An AI-generated version of himself delivered opening remarks during a 2025 earnings call, highlighting how quickly synthetic agents are moving from concept to operational reality inside corporate environments.
The implication, he suggests, is not simply incremental productivity gains but a structural shift in how work is distributed. Individuals could, in theory, deploy multiple AI agents simultaneously, multiplying output without increasing working hours. That would free employees to focus on higher-value, strategic tasks while automation handles routine execution in the background.
There is also emerging evidence that AI is already reshaping how work time is spent. A 2025 study from the London School of Economics found that employees using AI tools save the equivalent of a full working day each week. That suggests the productivity dividend Yuan describes may already be materializing, even if it has not yet translated into formal reductions in working hours.
However, Yuan’s argument goes further. Rather than reinvesting all those efficiency gains into additional output, he suggests that a portion of the saved time could be returned directly to employees as a shorter working week.
Business Leaders and Policymakers Signal a Broader Shift
Yuan is not alone in forecasting a reduction in working time. A growing number of business leaders and policymakers are suggesting that AI-driven productivity gains will eventually reshape the standard workweek.
“I believe that 30 years from now, your kids are probably working three and a half days a week,”
The argument across these forecasts is consistent: as automation takes on more of the repetitive workload, the traditional relationship between hours worked and output produced weakens. In that context, reducing working time becomes less about lost productivity and more about redistributing efficiency gains.
Meanwhile, Sam Altman and OpenAI have encouraged organizations to begin experimenting with shorter schedules. In a recent policy proposal, the company urged firms to run structured four-day workweek pilots that maintain pay and output levels, aiming to convert efficiency gains into permanent changes in working patterns.
“Incentivize employers and unions to run time-bound 32-hour/four-day workweek pilots with no loss in pay that hold output and service levels constant,” the proposal stated, adding that reclaimed time could be converted into permanently shorter weeks or additional paid time off.
While these ideas remain largely experimental, they reflect a growing consensus among influential voices in technology and finance that AI may fundamentally alter not just how we work, but how much we need to work.
From Productivity Gains to Structural Change
Despite the momentum behind shorter workweek proposals, the transition from theory to widespread adoption remains uncertain. While AI is improving efficiency across industries, organizations have yet to fully translate those gains into reduced working time at scale.
Yuan has been clear that he does not see this shift as eliminating work altogether but rather redefining it. “We can enjoy beach time,” he said, emphasizing that people will still want to find “something new and exciting to work on,” pointing to a future where work becomes more focused on creativity and less on repetition.
The challenge for businesses will be capturing the benefits of AI without simply raising output expectations alongside productivity gains. Striking that balance will likely determine whether efficiency improvements lead to shorter working weeks or merely heavier workloads.
For now, the idea of a three-day week remains speculative. But as AI continues to embed itself into everyday workflows, the debate is shifting from whether working time will change to how quickly and in what form those changes will occur.
