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Harvard Study Reveals AI Intensifies Workload Despite Automation Hopes

What Happened

A new report in Harvard Business Review finds that the adoption of AI in workplaces frequently leads to intensified workloads for employees, rather than decreasing the amount of work. The analysis shows that while organizations introduce AI and automation expecting efficiency gains, workers often face more complex responsibilities, tighter deadlines, and closer supervision. The article details examples from industries that adopted machine learning, robotics, and software automation, reporting increased job pressure and a constant push for higher productivity as AI tools support, rather than replace, human labor.

Why It Matters

This trend undercuts the belief that AI will simply eliminate monotonous tasks and free up workers. Instead, as AI capabilities expand, employees may experience greater stress, job fragmentation, and monitoring. The findings call for careful planning around AI adoption to ensure worker well-being while continuing innovation. Read more in our AI News Hub

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