AI Boosts Employee Productivity, But Makes Managers' Jobs Harder

AI tools introduced by companies to increase employee productivity are bringing new problems for managers. A study by Monday.com, involving 1,700 directors and senior managers across seven countries and conducted by Nielsen, shows that more than half of senior leaders find it difficult to evaluate employees' work following AI integration. The fact that content produced by employees arrives in such a polished form makes it difficult to distinguish between human effort and AI output.

Nearly half of the managers participating in the study state that they spend more time than before reviewing and guiding their teams' outputs. Despite this, managers' interest in AI remains high; 94% of the surveyed managers express excitement about the potential of AI to improve their ways of working. Michal Miller Levi, head of market research and customer insights at Monday.com, compares this enthusiasm to the early days of the internet in the 2000s, emphasizing that people see a similar magic in AI, but the technology is evolving faster than companies can adapt.

With the widespread adoption of AI, employee evaluation criteria in companies are also undergoing a transformation. 78% of participants report that they have changed their methods for evaluating personnel following AI usage; in this process, they are placing more weight on criteria such as the ability to provide correct prompts, the selection of which tasks to delegate to AI, and experimenting with new working methods. On the other hand, 46% of managers state that they use AI in decision-making processes, and 39% use it to draft performance evaluations. Additionally, 57% of managers note that there are more tools in their organizations than before, while 58% predict that they will oversee more AI agents than human employees within the next year.