09/18/2026
🤖 AI is making employee monitoring easier. But does more monitoring actually lead to better performance?
As organizations adopt new AI tools, leaders have more ways to track activity, measure productivity, and oversee how work gets done. That doesn’t necessarily mean every available form of monitoring should be used.
A recent Harvard Business Review article by Guido Friebel offers a few important considerations:
🔍 More monitoring doesn’t always mean better performance. Too much oversight can unintentionally communicate distrust.
🤝 Trust can have business benefits. In the study highlighted, removing certain checklists for experienced employees increased sales and reduced turnover without lowering quality.
🌱 Different employees may need different levels of structure. Newer employees might benefit from more guidance, while experienced employees may thrive with greater autonomy.
🎯 Every control should have a purpose. Before adding another layer of oversight, leaders can ask what it accomplishes and what it may cost, both financially and humanly.
💡 AI gives us more monitoring capabilities, not necessarily more reasons to monitor.
As technology evolves, the leadership challenge is finding the right balance between accountability, autonomy, and trust.
How can organizations maintain accountability without creating a culture of over-monitoring?
