Core Viewpoint - The article discusses the phenomenon of "AI brain fatigue," highlighting that while AI tools are intended to enhance productivity, they may actually lead to increased cognitive overload and decreased efficiency among employees [1][2][3]. Group 1: AI Brain Fatigue - Experts warn that excessive supervision of AI tools can overwhelm employees, negatively impacting work efficiency [2]. - A survey by Boston Consulting Group found that productivity improves when using three or fewer AI tools, but declines significantly when using four or more [3]. - Among employees experiencing "AI brain fatigue," 34% expressed a clear intention to leave their jobs, compared to 25% among those not experiencing this fatigue [3]. Group 2: Impact on Work and Productivity - Employees reported a 14% increase in mental strain when AI-related tasks required higher levels of human oversight, leading to a 12% increase in feelings of mental fatigue and a 19% increase in information overload [4]. - The Federal Reserve Bank of St. Louis estimated a 1.1% increase in overall productivity due to generative AI, equating to a 33% efficiency boost per hour of use [5]. - However, a Goldman Sachs analysis found no clear correlation between AI adoption and overall productivity at the economic level, with 90% of executives reporting no significant impact on productivity or employment over the past three years [5]. Group 3: Recommendations for Management - To address "AI brain fatigue," companies should critically assess how they implement AI, rather than simply adding it to existing workloads [7]. - Providing training and support for employees on using AI tools can reduce the phenomenon of brain fatigue [7]. - Researchers suggest scheduling AI-related tasks during specific times and allowing employees to take breaks, especially before complex decisions or high-intensity tasks [7].