The use of artificial intelligence tools in the workplace may backfire if not managed carefully, as excessive or improper reliance on AI can contribute to employee burnout and lower-quality work, a new study has found. The research challenges the widespread assumption that AI adoption automatically improves productivity and job satisfaction.

According to the study, employees who frequently use AI systems often face increased cognitive load, as they must continuously monitor, verify, and correct AI-generated outputs. This process, known as “algorithmic oversight,” can be mentally draining and time-consuming, offsetting the efficiency gains that AI tools are expected to deliver. Researchers noted that workers may feel pressure to keep up with rapidly evolving technologies, adding to workplace stress.

The findings also suggest that heavy dependence on AI can reduce the overall quality of work. In some cases, users may overtrust AI-generated content, leading to errors going unnoticed. In other instances, workers may disengage from critical thinking tasks, assuming the technology will handle complex decisions, which can weaken skill development and professional judgment over time.

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Burnout risks were found to be higher in environments where AI use is closely monitored or tied to performance metrics. Employees reported feeling a loss of autonomy, as well as anxiety about being evaluated against AI-augmented productivity standards. This dynamic, the study said, can erode motivation and job satisfaction, particularly in knowledge-based roles.

Researchers emphasized that AI itself is not inherently harmful but must be implemented thoughtfully. They recommended clear guidelines on AI use, realistic productivity expectations, and training that focuses on collaboration between humans and machines rather than replacement. Without such measures, organizations risk undermining both employee well-being and work quality, even as they invest heavily in artificial intelligence technologies.

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