New survey shows workplace artificial intelligence creates evaluation hurdles for managers

More than fifty percent of senior leaders find it harder to evaluate employee work after adopting artificial intelligence tools, according to a Nielsen survey of one thousand seven hundred directors and senior managers across seven countries. The survey was commissioned by Monday.com. Employee output now arrives polished in the manager inbox, which makes it difficult to tell how much work came from the human employee and how much came from artificial intelligence. Nearly half of managers now spend more time reviewing and guiding team output than they used to. Despite these challenges, ninety-four percent of polled managers feel excited to improve work using artificial intelligence. Michal Miller Levi, who is the head of market research and customer insights at Monday.com, compared this enthusiasm to the early days of the internet during the two-thousands. Seventy-eight percent of respondents have changed how they evaluate employees since adopting these tools, placing greater weight on how well staff create prompts, decide which tasks to delegate, and experiment with new ways of working. At the same time, forty-six percent of managers use artificial intelligence to help inform their decisions, and thirty-nine percent use the technology to draft performance reviews. Research from the Luxembourg Institute of Socio-Economic Research and early two-thousand twenty-five studies note that language models can repeat human patterns, introduce bias, and show prejudice against specific social groups. Fifty-seven percent of managers report that their organizations now have more software tools in circulation than before, while only twenty-nine percent describe their artificial intelligence infrastructure as fully optimized and centralized. Fifty-eight percent of managers expect to oversee more artificial intelligence agents than human employees within the next year, and forty-six percent worry about losing control over those agents. Thirty-five percent of respondents also fear being held responsible for decisions made by artificial intelligence systems.

Context

As companies rush to integrate new technology, internal business processes often lag behind the rapid pace of software development. This mismatch leaves managers to handle unexpected supervision tasks and complicated software setups without clear company guidelines.