- Weekend work increased by more than 40% as shifts start earlier, but productivity gains remain uneven
- AI adoption has become deeply integrated, increasing time spent on all tasks
- Collaboration and multitasking have exploded, while uninterrupted focus hits a three-year low
The rapid adoption of artificial intelligence gave the impression that humans would complete tasks faster and reduce workloads.
But new data from ActivTrak Productivity Lab’s State of the Workplace 2026 analysis affirms that workplace activity is not declining as many hoped.
In fact, weekend work increased by more than 40%, with measurable activity starting as early as 7:11 a.m. on Saturday.
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Work intensity increases despite shorter days
Analysis of a dataset 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 more dense and fragmented.
Around 80% of employees now rely on AI tools, showing how quickly these systems have become an integral part of everyday tasks.
As usage increases, time spent on these tools has also increased, indicating deeper integration between workflows.
At the same time, workplace behaviors are changing noticeably, with collaboration increasing by 34% and multitasking by 12%.
However, this comes with a trade-off, as concentration 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 AI adoption, time spent in different work 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, referring to employees not spending 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%.
This suggests that higher activity levels do not always lead to better results. Instead, work spreads across more tools and communication channels rather than focusing on a fewer number of high-value tasks.
In practice, this means employees are doing more, but not always doing more.
Furthermore, the fact that Saturday work now starts earlier in the morning shows how the line between weekday and weekend is blurring.
Gradually, the line between weekday and weekend is blurring, as communication tools allow employees to stay connected beyond traditional working hours.
Taken together, the data suggests that the increase in capabilities 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 likely not due to morale, behavior, or workforce availability, but rather to how management allocates and redeploys capacity.
As workloads decrease, additional capacity is not automatically channeled toward higher value-added tasks, but rather toward less productive or less engaging activities.
This dynamic can be compared to improving the engine of a car without adjusting the steering: the speed improves, but the direction remains uncertain.
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