AI Increased Worker Pace and Hours, Research Found
Managers should prepare for broader task scopes and expanded hours as employees adopt autonomous agents.
Updated on Sept. 19, 2026 in Remote Work
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Artificial intelligence tools have led to a faster pace of work and longer hours for employees, according to a recent study of a 200-person U.S. technology company. Founders and industry leaders, including Passes CEO Lucy Guo, report that these tools necessitate constant monitoring of autonomous agents.
Why it matters
The shift toward AI-integrated operations forces employees to manage autonomous systems outside of standard business hours to ensure continued performance. This dynamic effectively broadens job descriptions and increases the total volume of work per staff member.
A UC Berkeley study of 200 employees across eight months observed workers taking on a broader scope of responsibilities as AI completed tasks faster. Individual anecdotal reports, such as those from Lucy Guo, note workdays extending as long as 26 hours to monitor autonomous agents.
The players
Lucy Guo
Founder of the creator monetization platform Passes and former co-founder of the AI data training firm Scale AI.
UC Berkeley
A major public research university that recently conducted an eight-month study on workforce behavior.
The details
Workers are increasingly utilizing AI to complete core tasks with higher velocity, which prompts the assumption of additional responsibilities once original duties are finished. Furthermore, the reliance on autonomous agents that operate outside of standard office hours requires employees to remain available for monitoring. This creates a cycle where technology efficiency serves as a catalyst for expanded, rather than reduced, human involvement.
Timeline
2016: Lucy Guo co-founded Scale AI.
2018: Lucy Guo departed from Scale AI.
2022: Lucy Guo founded the creator platform Passes.
September 2026: Lucy Guo discussed work patterns on the Fortune Daily Show.
Market Landscape
This development follows a documented trend where organizations increasingly prioritize autonomous agent deployment to capture operational efficiencies. The findings contradict the common assumption that automation universally leads to reduced human labor hours.
Operators should review current staffing models to account for the reality that AI often expands task scope rather than shrinking total hours. Evaluate whether existing roles require adjustment for the constant monitoring necessitated by autonomous systems.
The takeaway
The primary operational insight is that AI adoption tends to shift employees from task completion to system supervision, which often extends the workday. Leaders should track individual capacity metrics over the next quarter to determine if the pace increase is sustainable for their teams.
Further reading
For more on the changing nature of digital productivity, see our Remote Work section.
Source note: This article includes information reported by Fortune.
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