AI tools create evaluation challenges for managers despite productivity gains

A survey of 1,700 senior leaders across seven countries found that over half of managers now find it harder to evaluate employee work after adopting AI, as much of the output arrives polished in their inbox without clear attribution of human versus AI contribution. Nearly half of managers report spending more time reviewing team output, though 94% remain excited about AI's potential. The study also revealed 78% of managers have changed their evaluation methods, placing greater weight on prompt engineering and AI delegation skills, while 46% use AI to inform decisions and 39% use it to draft performance reviews, raising concerns about bias in LLM-assisted reviews.