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How artificial intelligence is making it harder for managers to evaluate their employees

As teams adopt AI tools to boost productivity, managers face new evaluation challenges.

Over half of leaders report difficulty assessing work when AI-assisted output obscures human effort, while oversight and tool interdependence continue to grow.


According to a Nielsen survey conducted for Monday.com, which surveyed 1.700 managers and executives in seven countries, more than half of respondents say they now have difficulty evaluating their employees’ work. The reason is that deliverables arrive to managers ready and neatly packaged, making it difficult to discern how much of the work was done by the employee and how much by the systems. As a result, nearly half of managers spend more time than before supervising and guiding their teams.

How the way of evaluation and work is changing

Despite these challenges, enthusiasm remains high. 94% of executives say they are excited about the prospect of AI improving their work and know where they can leverage the technology. The problem, however, is that technology is evolving much faster than businesses and their internal processes can adapt.

The way employees judge is changing. 78% of respondents say that the way they evaluate staff has changed, now placing more emphasis on employees’ ability to correctly give appropriate commands to systems, choose which tasks to assign to them and experiment with new methods. At the same time, 46% of managers use artificial intelligence to make decisions, while 39% rely on it to write staff performance reviews.

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This practice carries risks of bias, as these systems rely on patterns and training data derived from humans.

New tools and additional workload

At the same time, the daily lives of managers are changing, as overseeing such programs creates a new form of hidden work. Businesses are also facing increased software overload: 57% of executives say they use more tools than before, while 51% note that these tools have become more interconnected. Only 29% describe their infrastructure as fully organized and centralized, while the use of unapproved systems by employees is increasing.

The need for control is becoming more pressing as companies leverage autonomous programs. 58% of managers expect to oversee more such programs than people in the next year, while 46% worry about losing control of their actions. There is also a fear of taking responsibility for decisions made by unpredictable systems, with 35% of respondents expressing such concerns.

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