AI Adoption Creates Management Hurdles and Evaluation Challenges, Survey Finds

OPA WIRE, Oct 21 (OPA) — More than half of senior leaders surveyed by Monday.com report that evaluating employee performance has become more complex following the integration of AI tools. Because much of the work submitted is now polished by AI, managers struggle to discern individual contributions, leading nearly 50% of respondents to dedicate more time to reviewing and guiding team output than previously required. The findings, based on data from 1,700 directors and senior managers across seven countries, suggest that organizational processes are failing to keep pace with the rapid deployment of these technologies.

Despite these operational frictions, 94% of managers expressed enthusiasm for AI’s potential to improve productivity. Michal Miller Levi, head of market research at Monday.com, noted that the current landscape mirrors the early internet era, though she cautioned that AI development is outpacing corporate adaptation. To adjust, 78% of managers have shifted their evaluation criteria, placing higher value on an employee’s ability to prompt AI, delegate tasks, and experiment with new workflows. However, the reliance on AI is also creeping into the review process itself, with 39% of leaders using the technology to draft performance evaluations, a practice that experts warn may introduce systemic bias.

Beyond performance management, the survey reveals a growing burden of "invisible labor" as managers oversee increasingly complex software stacks. Fifty-seven percent of respondents reported an increase in the number of tools in circulation, contradicting initial expectations that AI would consolidate software usage. Only 29% of managers described their current AI infrastructure as fully optimized or centralized, with many reporting that employees are adopting unauthorized "shadow AI" tools outside of approved corporate systems.

Looking ahead, the governance of autonomous systems remains a primary concern for leadership. Fifty-eight percent of managers expect to oversee more AI agents than human employees within the next year, yet 46% expressed anxiety regarding their ability to maintain control over these agents' actions. With 35% of respondents fearing personal liability for AI-driven decisions, the report indicates that the primary challenge for organizations is no longer just productivity, but establishing the governance frameworks necessary to manage an increasingly automated workforce.