While AI accelerates tasks and delivers answers swiftly, it doesn’t lessen workload but transforms it. Developers, for example, now face a flood of micro-decisions—accepting or refining AI suggestions—leading to mental exhaustion and decision fatigue. Studies reveal that workers using multiple AI tools can experience decreased productivity and increased workload invisibly spreading across the workday, culminating in fatigue. Experts recommend none abandonment of AI but rather a smarter adoption: rethink workflows, empower managers to guide AI integration, create clear usage practices, monitor cognitive load, and communicate openly about AI’s role. Prioritizing quality decision-making and balance over sheer output helps mitigate burnout and harness AI’s true potential.
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