Core Viewpoint - The article discusses the phenomenon of "AI brain fatigue," highlighting that excessive use of AI tools can lead to cognitive overload and mental exhaustion rather than alleviating work stress [3][12][23]. Group 1: AI Impact on Employees - A recent study involving nearly 1,500 employees found that 14% reported significant symptoms such as difficulty concentrating, decreased decision-making ability, and headaches [13]. - The fatigue caused by AI is not due to the work itself but rather the process of managing AI tools, with high-intensity monitoring leading to a 14% increase in cognitive load and a 12% rise in mental fatigue [15][17]. - Employees using multiple AI tools experience increased cognitive switching costs, which disrupts their workflow and reduces productivity [19][20]. Group 2: Organizational Consequences - High cognitive load from AI usage can lead to a 33% increase in decision fatigue, potentially costing companies millions annually [25]. - Employees experiencing "AI brain fatigue" are 11% more likely to make minor errors and 39% more likely to make significant mistakes in their work [26]. - The intention to leave the job increases from 25% to 34% among employees reporting symptoms of cognitive overload [27]. Group 3: Recommendations for Organizations - Companies should reduce the density of AI monitoring, limiting employees to a maximum of three AI tools to prevent cognitive overload [33]. - There is a need to enhance employees' higher-order skills such as problem definition and prioritization, rather than just their ability to use AI [34]. - Organizations should strategically manage human attention as a limited resource, similar to computational power, to mitigate the risks associated with AI-induced cognitive fatigue [36].