The movement to bring employees back to the office faces a challenge in how work is measured. Executives often equate commuting with productivity. Yet, Nick Bloom from Stanford University points to a different scenario. The productivity boost witnessed recently may result from the flexibility being taken away.
Federal Reserve Chair Jerome Powell noted that productivity improvements began four to five years ago. He dismissed generative AI as the main cause of these gains. The rise began prior to widespread AI adoption. AI is still important, yet crediting software while distrusting remote work designs is premature.
Remote work offers a firm approach. The May 2026 WFH Research update showed that around 25% of paid U.S. workdays were remote in April 2026. Among full-time workers, 12% were fully remote, 26% were hybrid, and 62% were onsite. Remote work is now a stable model, not an emergency fix.
Support for hybrid work comes from experiments, not employee preferences. A study with 1,612 Trip.com employees, led by Stanford’s Nicholas Bloom, revealed that working two days from home reduced quits by a third without harming performance. Another study by the National Bureau of Economic Research showed a 13% performance boost for call-center employees working from home.
The office holds significance. The error is assuming the office should dominate. Corporate leaders argue for in-person work for collaboration, faster decisions, training, and culture. This stance holds merit. However, filling an office yet letting employees spend the day on emails and video calls achieves little. Restoring the commute does not restore culture.
Some companies continue prioritizing office work based largely on intuition. Amazon mandated a five-day office week for many employees starting in 2025. Home Depot did the same in 2026. Instagram required most U.S. staff back to the office by February, and Stellantis implemented a full onsite schedule this year. These choices suit some businesses but are not proven by science.
Labor market dynamics increase the risk. Many employees value flexibility for time savings, reduced commute issues, and easier personal logistics. The Trip.com study showed reduced quits, especially among women, non-managers, and long commuters. Leaders facing skill shortages or retention issues should pay attention.
AI introduces complexity but not a solution. Recent Gallup surveys report half of U.S. workers using AI at work. An NBER paper noted a time savings of 1.4% of work hours. These indicators suggest AI will enhance productivity. Workers using AI need focused time, which remote work provides better than open-plan offices.
Executives should focus on where work occurs best. Individual work often suits home. Mentorship, onboarding, conflict resolution, and innovation fit the office. Routine tasks fit neither.
Successful companies align tasks with locations, not status with attendance. This requires shared anchor days, deep-work protection, outcome measurement, and office redesign centered around collaboration. Observing churn, performance, promotion fairness, manager quality, and customer outcomes is essential before and after policy shifts.
Companies that excel in the future view workplace flexibility as a management system rather than a perk. Although CEOs control narratives, not all jobs can be remote, and not all employees desire this. Blanket return policies may weaken productivity standards established earlier.
AI’s rise in workplaces underscores the need for redesigning work to focus on attention, experimentation, judgment, and trust. While the productivity boom preceded AI, future gains will come to leaders who merge AI advancements with effective work design. For knowledge workers, that entails fewer obligatory office days, intentional collaboration, and a hybrid model focused on outcomes.