AI in Performance Management: Opportunities and Challenges
A few years ago, the idea of an algorithm sitting in on your performance review would have seemed far-fetched. Today it is standard practice in many large organisations. AI-driven performance tools now track output, flag underperformance, and feed data directly into appraisal cycles — often without employees fully realising it is happening. There is genuine value here. These systems can cut through personal bias, give managers better data to work with, and make feedback more consistent (Mishra, 2024). But the technology is only as good as the environment it lands in. And as the following examples show, that environment varies enormously depending on where in the world you are working. Americas United States: When the Dashboard Becomes the Manager American workplaces have absorbed AI performance tools with relatively little resistance. Employees who have grown up with KPIs, quarterly reviews, and real-time produc...