- Weekend work is up over 40% as schedules start earlier, but productivity gains remain uneven
- AI adoption has integrated deeply, increasing time spent across all tasks
- Collaboration and multitasking are up, while uninterrupted focus hits a three-year low
The rapid adoption of artificial intelligence created the impression that humans would perform tasks faster and reduce burdens in the workplace.
But new data from ActivTrak Productivity Lab’s 2026 State of the Workplace analysis claims that workplace activity isn’t declining in the way many expected.
In fact, weekend work has increased by more than 40%, and measurable activity now begins as early as 7.11 on Saturdays.
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Work intensity increases despite shorter days
Analysis of a data set spanning more than 443 million hours of digital activity across a thousand organizations reveals that while the average working day has reduced slightly, by around 2%, the nature of work itself is becoming denser and more fragmented.
About 80% of employees now rely on AI tools, which shows how quickly these systems have become part of daily tasks.
As usage increases, time spent in these tools has also grown, indicating deeper integration across workflows.
At the same time, workplace behavior is changing in noticeable ways, with collaboration increasing by 34% and multitasking increasing 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 AI adoption, time spent across different work categories increased significantly, including a 104% increase in email use and a 145% increase in chat and messaging.
Despite this increased activity, not all working time is used effectively. Underutilization remains a key factor, referring to employees falling below expected productive hours during the day.
Over time, this has contributed to an increase in the risk of resignation, which now affects 23% of employees compared to 19% previously.
This suggests that higher activity levels do not always lead to better outcomes. Instead, work spreads across multiple tools and communication channels rather than focusing on fewer high-value tasks.
In practice, this means that employees do more, but do not always achieve more.
Also the fact that Saturday work now starts earlier in the morning shows how the boundary between weekdays and weekends is disappearing.
Gradually, the line between weekdays and weekends is becoming less defined as communication tools keep employees connected beyond traditional working hours.
Overall, the data suggests that increased capacity created by AI has not been matched by changes in how work is organized.
One way to understand this trend is that work is moving faster than organizational structures can keep up.
This is likely not driven by morale, behavior or labor availability, but rather by how management allocates and reallocates capacity.
As the workload eases, the extra capacity is not automatically channeled into higher-value tasks, but instead often goes toward less productive or disengaged activity.
This dynamic can be compared to upgrading a car’s engine without adjusting the steering — speed improves, but direction remains uncertain.
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