More than half of managers report greater difficulty evaluating employee work after AI adoption

A Nielsen survey of 1,700 directors and senior managers across seven countries, commissioned by Monday.com, found that more than half of respondents report greater difficulty evaluating employees' work after their organizations adopted AI tools.

Respondents cited polished AI-generated output as the primary reason for the evaluation challenge, noting that it obscures how much of an employee's work originated from AI versus human effort.

Nearly half of managers reported spending more time reviewing and guiding team output than before AI adoption, despite high enthusiasm for AI's potential.

Ninety-four percent of managers expressed excitement about using AI to improve work, but many acknowledged that organizational processes have not kept pace with AI's rapid development.

Seventy-eight percent of managers said they have changed how they evaluate employees, placing greater emphasis on prompt creation, task delegation to AI, and experimentation with new workflows.

Forty-six percent of managers use AI to help inform personnel decisions, and 39% use AI to draft performance reviews, raising concerns about potential bias in evaluations.

Fifty-seven percent of managers say their organizations now use more software tools than before AI adoption, and only 29% describe their AI infrastructure as fully optimized and centralized.

Fifty-eight percent of managers expect to oversee more AI agents than human employees within the next year, and 46% worry about losing control over autonomous agents' actions.