Why working with AI agents is so tiring (and what to do about it) – Tech, work, and what comes next (constantin.glez.de)

A recent article highlights the mental fatigue associated with using AI agents, a phenomenon termed “agent hopping,” where individuals juggle multiple projects with the help of AI. While this may seem like multitasking, it actually resembles the role of a head chef managing a kitchen, where tasks are delegated to AI agents, freeing up cognitive load for critical decision-making. However, the author notes that the brain lacks a “ticket rail” to manage ongoing tasks, leading to a buzzing sensation as unfinished work lingers in the mind. This results in intensified cognitive demands, as users are left with heavier, more complex tasks that require significant mental resources. For the AI/ML community, this insight emphasizes the need to recognize the cognitive costs of integrating AI into workflows. The applications of AI may enhance productivity, but they also require careful management to avoid burnout—evidenced by a recent rise in reported exhaustion among tech workers. To mitigate these effects, the author suggests developing systems for better task management, like writing detailed briefs for AI agents and consciously scheduling breaks. This reflection fosters a deeper understanding of how AI can both alleviate and exacerbate mental workload, urging developers and users alike to navigate the balance between efficiency and cognitive well-being.