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This article examines the operational friction caused by generative AI, specifically focusing on how it obscures employee output and complicates performance evaluation for managers. While acknowledging high enthusiasm for the technology, the piece highlights a critical gap between rapid AI development and slower organizational adaptation processes. The core issue identified is the difficulty in distinguishing human contribution from AI-generated content within professional workflows.
AI promises productivity, but for managers, it’s mostly a headache for now
More than 50% of managers say they're finding it harder to evaluate employees' work after adopting AI, according to a new survey.
Companies are giving employees AI tools to make them more productive, but the tools appear to be creating new problems for their managers. More than half of senior leaders say they find it harder to evaluate employees’ work after adopting AI, according to a Nielsen survey of 1,700 directors and senior managers across seven countries, commissioned by work-management company Monday.com. The reason is that much of employees’ output now arrives polished in the manager’s inbox, making it hard to tell how much came from the employee and how much from…
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