The ActivTrak Productivity Lab announced legal services employees show positive signs of productivity amid 160 distractions per day.

Замість полегшення навантаження штучний інтелект наразі лише пришвидшує та ускладнює робочі процеси. Такого висновку дійшли аналітики ActivTrak.

What will differentiate people is not how smart they are but their relationship to mental effort.

ActivTrak proudly announces its 2026 Great Place to Work Certification and a notable ranking within Texas's Best Workplaces, underscoring its strong workplace culture.

ActivTrak has introduced a groundbreaking benchmarking service to help organizations compare their productivity against industry peers, leveraging extensive behavioral data insights.

ActivTrak has been honored with the 2026 AI Breakthrough Award for Behavioral AI Solution of the Year, showcasing innovation in work intelligence technology.

ActivTrak has been acknowledged as one of America's top worktech companies in 2026 by TIME, showcasing significant industry impact.

Workers who use AI are spending up to 346% more time on their daily tasks, from messaging to business management: “The data is unambiguous: AI does not reduce workloads.”

ActivTrak's Productivity Lab announced findings within the financial services sector, revealing it manages burnout risk better than other industries.

/PRNewswire/ -- The ActivTrak Productivity Lab today released its 2026 State of the Workplace report, analyzing one of the world's largest behavioral datasets...

빅테크 CEO들은 AI가 노동자를 ‘슈퍼 휴먼’으로 만들고 업무를 선택 사항으로 바꿔줄 것이라고 찬양해 왔다. 하지만 지금까지의 현실은 정반대다. AI는 오히려 대부분의 직원에게 더 큰 부담을 주고 있으며, 잡무 시간은 늘리고 깊은 집중이 필요한 업무 시간은 앗아가고 있는 것으로 나타났다.최근 액티브트랙(ActivTrak) 보고서는 AI를 도입한 사용자 1만 584명의 도입 전후 180일 데이터를 분석한 결과, 거의 모든 업무 영역에서 소요 시간이 27%에서 많게는 346%까지 증가했다고 밝혔다.가장 크게 늘어난 것은 잡무였다. 이

Workers now seem to be ending their day at 4:39 p.m., according to an ActivTrak report. Is the workday getting shorter, or just more flexible?

Workers who use AI are spending up to 346% more time on their daily tasks, from messaging to business management: “The data is unambiguous: AI does not reduce workloads.”

The most recent data from ActivTrak’s Productivity Lab complicates that idea. Productivity and work-health metrics rise as employees move from little or no AI use to regular, task-level adoption, with healthy utilization peaking at 75%. But once AI becomes embedded in workflows, healthy utilization drops about 5 percentage points — to levels statistically indistinguishable from employees who barely use AI. The right level of AI adoption maturity depends on the work being done and the business objectives it supports. Why moderate AI maturity may be sufficient for most Traditional AI adoption metrics track licenses or login counts, which measure deployment but offer little clarity into how AI impacts the work being done. Typical AI maturity models measure an organization’s overall progress toward deeper AI adoption. Our Productivity Lab takes a different approach, using behavioral data to document how AI actually changed the way people work, and categorizing them into three stages of maturity that reflect true operational progression. The Lab tracked the same 120,620 employees across 1,009 organizations for three consecutive quarters from Q4 2025 to Q2 2026. The data showed 27% of employees used AI like a search engine to answer questions and summarize information (Stage 1, Research Assistance)...

Founded in 2014, Teramind is a leading, global provider of employee monitoring, user behavior analytics, insider threat detection, forensics and data loss prevention software solutions.

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