Key facts
- Over half of managers find it harder to evaluate employee work due to AI.
- AI is developing faster than companies can adapt, creating organizational process challenges.
- Managers are shifting evaluation criteria to focus on prompt engineering and task delegation.
- AI use in performance reviews risks introducing bias.
- Managers are dealing with more, interdependent software tools post-AI adoption.
- 58% of managers anticipate overseeing more AI agents than human employees in the next year.
Companies are providing employees with AI tools to boost productivity, but these tools are creating new challenges for managers. A Nielsen survey of 1,700 senior leaders, commissioned by Monday.com, found that over half of managers find it more difficult to evaluate employee work due to AI's contribution. This has led nearly half of managers to spend more time reviewing team output.
Despite these challenges, 94% of managers are enthusiastic about using AI to improve work. However, the rapid pace of AI development outstrips companies' ability to adapt organizational processes. Managers are also changing how they evaluate staff, prioritizing skills like prompt engineering and task delegation to AI.
The use of AI in performance reviews and decision-making raises concerns about bias, as LLMs can perpetuate patterns from their training data. Furthermore, managers are grappling with an increase in interdependent software tools and the growing need to oversee AI agents, with 58% expecting to manage more AI agents than human employees in the coming year. Many also fear being held responsible for AI-driven decisions.
