- Weekend work has increased more than 40% as schedules start earlier, but productivity gains remain uneven
- AI adoption has become deeply integrated, increasing time spent on all tasks
- Collaboration and multitasking are up, while uninterrupted focus hits its lowest level in three years
The rapid adoption of Artificial Intelligence created the impression that humans would complete tasks faster and reduce workloads.
But new data from the ActivTrak Productivity Lab’s 2026 State of the Workplace analysis says workplace activity is not slowing as many expected.
In fact, weekend work has increased by more than 40%, with measurable activity now starting at 7:11 a.m. on Saturdays.
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Work intensity increases despite shorter days
Analysis of a data set covering more than 443 million hours of digital activity across more than a thousand organizations reveals that while the average workday has shrunk slightly, by about 2%, the nature of work itself is becoming denser and more fragmented.
Around 80% of employees now rely on AI tools, demonstrating how quickly these systems have become part of daily tasks.
As usage has increased, time spent on these tools has also increased, pointing to deeper integration between workflows.
At the same time, workplace behavior is changing dramatically: collaboration has increased by 34% and multitasking by 12%.
This comes with a trade-off, however, as focus time has fallen to its lowest level in three years and, as a result, uninterrupted work is becoming less common, even as overall activity increases.
After the adoption of AI, time spent on different job categories increased significantly, including a 104% increase in email usage and a 145% increase in chat and messaging.
Despite this increase in activity, not all working time is used effectively. Underutilization remains a key factor, which refers to employees falling below the expected productive hours during the day.
Over time, this has contributed to an increased risk of disengagement, which now affects 23% of employees, up from 19% previously.
This suggests that higher levels of activity do not always lead to better results. Instead, work is being spread across more tools and communication channels rather than focusing on fewer high-value tasks.
In practice, this means that employees are doing more, but they don’t always achieve more.
Furthermore, the fact that Saturday work now starts earlier in the morning shows how the line between weekdays and weekends is blurring.
Gradually, the boundary between weekdays and weekends is becoming less defined, as communication tools keep employees connected beyond traditional work hours.
Taken together, the data suggests that the increase in capacity created by AI has not been accompanied by changes in the way work is organized.
One way to understand this trend is that work moves faster than organizational structures can keep up.
This is probably not due to morale, behavior or labor availability, but rather to the way management allocates and redeploys capacity.
As workloads decrease, additional capacity is not automatically channeled toward higher-value tasks, but is often diverted toward less productive or disconnected activities.
This dynamic can be compared to upgrading a car’s engine without adjusting the steering: the speed improves, but the direction remains uncertain.
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