What Happened
A report from The Wall Street Journal, based on new data analysis, indicates that the adoption of artificial intelligence tools in the workplace is having a counterintuitive effect: rather than reducing workloads and creating efficiencies, AI is making jobs more intense for workers.
Researchers tracked data from approximately 164,000 workers across various sectors. The analysis suggests that the implementation of AI tools is correlating with increased work intensity—meaning more tasks, faster pace, or greater cognitive demands—instead of the anticipated reduction in manual labor or administrative burden.
Context
This finding directly challenges a central promise of enterprise AI adoption: that automation and AI assistants will free up employee time, reduce repetitive tasks, and boost overall productivity by handling routine work. Major tech companies have heavily marketed AI tools like Microsoft Copilot, Google Duet AI, and various CRM and customer service automation platforms with the value proposition of reducing workload.
The WSJ report implies a gap between the marketed benefits and the on-the-ground reality for many workers. Instead of creating slack, AI tools may be enabling organizations to increase expectations, monitor performance more closely, or redistribute saved time into additional tasks, leading to a net increase in work intensity.
While the specific methodology and sectors covered in the full WSJ analysis are not detailed in the social media post, the scale of the data—164,000 workers—suggests a significant observational or survey-based study. The result adds to a growing body of sociological and economic research examining the real-world impact of technology on work quality, stress, and job design, beyond simple productivity metrics.
