78% of Managers Revamp Reviews as AI Blurs Employee Output and Expands Tool Sprawl
Updated
Updated · TechCrunch · Oct 21
78% of Managers Revamp Reviews as AI Blurs Employee Output and Expands Tool Sprawl
3 articles · Updated · TechCrunch · Oct 21
Summary
More than half of senior leaders said AI has made employee evaluation harder, as polished output obscures how much work came from staff versus the tools.
Nearly half now spend more time reviewing and guiding teams, while 78% have changed evaluations to emphasize prompting, AI delegation and experimentation.
AI is also entering the review process itself: 46% of managers use it to inform decisions and 39% use it to draft performance reviews, raising bias concerns flagged by earlier research.
Tool oversight is getting heavier too, with 57% reporting more software in use, only 29% saying AI infrastructure is fully optimized, and shadow AI adding to complexity.
That governance strain is set to intensify as 58% expect to oversee more AI agents than human employees within a year and 46% fear losing control of those agents.
With managers secretly using AI to draft performance reviews, could hidden algorithmic biases trigger the next massive wave of workplace discrimination lawsuits?
As autonomous AI agents outnumber human workers, who takes the fall when a digital employee makes a catastrophic business decision?
If AI perfectly polishes every task before it reaches a manager's desk, how can companies actually identify their most valuable human employees?