Some leading figures in the business world believe that artificial intelligence might end the traditional 40-hour workweek. Steve Cohen predicts a future with a four-day workweek. Eric Yuan from Zoom suggests three days, while Bill Gates envisions two days. Elon Musk even suggests that work could become entirely optional.
Despite these predictions, a shortened workweek driven by A.I. remains unlikely. Many executives had the power to reduce workdays long before A.I. became prominent.
Four-Day Workweek Trials
Studies show that a four-day workweek with full pay is achievable and beneficial. In Iceland, a 2015 trial revealed unchanged or improved productivity while employee satisfaction increased. This model has since been widely adopted in Iceland. In 2022, a study in Britain featured 61 companies and nearly 3,000 employees. The results showed increased revenue along with reduced employee stress and burnout. Similar successes have been reported in New Zealand, Japan, Australia, and Brazil.
In the United States, the idea of a four-day workweek is popular but still not widespread.
The Resistance to Change
The reluctance for change is partly due to a preference for face time among executives. Those advocating for a future of shorter workweeks currently expect more hours from their staff. Musk demands at least 40 hours in the office, urging up to 80 hours for a significant impact. Nvidia’s Jensen Huang, although supportive of a four-day workweek, reportedly works seven days a week. Jamie Dimon of JP Morgan predicts a 3.5-day workweek yet insists on a full five days in the office and openly criticizes remote work.
Technology’s Impact on Work
Expectations about technology saving time also seem exaggerated. In earlier days at The Wall Street Journal, tasks involved manual typewriters and carbon paper. The introduction of digital tools was supposed to shorten work hours. Instead, these tools led to increased work as the capability to publish continuously grew.
Thus, while technology advances, the dream of a shorter workweek still faces significant obstacles, primarily because of executive expectations and the complex nature of how work has evolved.