AI speeds up workdays but doesn't lighten workloads

Workplace AI use is rising quickly, but it is not translating into less work. A new study from ActivTrak's Productivity Lab found that AI adoption has coincided with denser workdays, more collaboration and higher levels of multitasking, even as the average workday has shortened slightly.

The 2026 State of the Workplace report analysed more than 443 million hours of digital activity across 1,111 organisations and 163,638 employees. It examined patterns across a range of applications and measured changes in work time, collaboration, focus and weekend activity.

The report found that 80% of employees now use AI tools at work, up 52% over two years. Time spent in AI tools increased eightfold over the same period. The typical organisation now uses seven or more AI tools, up from two in 2023. ChatGPT dominated usage "by a factor of 27x".

ActivTrak's findings add detail to a debate that has often focused on whether AI reduces headcount or removes routine tasks. Instead, the report suggests AI is increasing the "speed, density and complexity" of work rather than shrinking workloads.

More activity

A central finding was that after adopting AI tools, employees spent more time in every measured work category. In an analytical subset covering 376 companies and 10,584 users, ActivTrak compared activity in the 180 days before and after AI adoption and found increases ranging from 27% to 346% across application categories.

Email activity rose 104% in the before-and-after comparison. Chat and messaging increased 145%. Time in business management tools rose 94%. The pattern suggests AI is being added to existing work rather than replacing it.

Broader work patterns shifted as well. Collaboration time surged 34% to 52 minutes a day on average. Multitasking rose 12% to 1 hour 33 minutes a day. Focus time fell to a three-year low, with AI users averaging 23 fewer minutes of focused time per day.

The report also tracked the structure of the workday. The average workday shrank 2%, from 8 hours 53 minutes to 8 hours 44 minutes. Productive hours increased 5% to 6 hours 36 minutes a day. Employees also started earlier, with an average start time of 7:48 a.m., compared with 8:02 a.m.

Sessions of productive work got longer, rising 13% from 24 minutes 25 seconds to 27 minutes 30 seconds. The average focused session shortened 9%, from 14 minutes 23 seconds to 13 minutes 7 seconds, indicating more frequent task switching.

Weekend shift

The dataset also points to a rise in weekend work. Weekend work increased more than 40% overall. Saturday productive hours jumped 46% to an average of 4 hours 37 minutes a day, with start times moving earlier from 8:35 a.m. to 7:11 a.m. Sunday productive hours rose 58%, with average start times shifting from 12:24 p.m. to 10:58 a.m.

At the same time, the report offered a mixed view of wellbeing indicators. It found that 75% of employees maintained "healthy work patterns", a three-year high and up from 66%. Burnout risk fell 22% to 5% of employees. Overutilised employees dropped from 12% to 7%. Disengagement risk moved in the opposite direction, rising to 23% from 19%.

Measuring AI

ActivTrak framed the findings as evidence of an "AI measurement gap" inside organisations: adoption is spreading, but companies often lack data on how AI changes output, focus and capacity.

The report also examined the relationship between AI use and productivity by usage tier. Employees who spent 7% to 10% of their total work hours in AI tools showed the highest productivity, at 95%-yet only 3% of users fell within that range. AI users also spent 9% more days in healthy utilisation patterns than non-users, while their daily focus time declined 9%, compared with virtually no change for non-users.

The dataset spans three years of aggregated, anonymised workforce intelligence data collected between January 2023 and December 2025. More than 23 industries were represented, spanning organisations from small and medium-sized businesses to large enterprises. Sectors listed in the report include financial services, professional services, insurance, legal services, construction and engineering, and cloud services.

Gabriela Mauch, chief customer officer and head of the ActivTrak Productivity Lab, said leaders need better visibility into AI's effects on day-to-day work patterns.

"AI adoption is accelerating faster than most organizations can measure its impact. What our data shows is that AI isn't reducing work, it's increasing the speed and density of how work happens. The challenge leaders now face is closing the AI measurement gap and gaining real visibility into how AI is changing productivity, focus and workforce capacity."