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How AI Is Detecting Employee Burnout Before It Happens
A growing number of companies are deploying AI to analyze workplace signals—email volume, meeting load, after-hours activity—to flag burnout risks before employees burn out. Lucas and Luna explore how one global tech firm used an internal AI tool to reduce voluntary turnover by 18% by proactively offering support. They discuss the ethical boundaries of workplace surveillance, the specific data points that matter (like time between meetings and message response latency), and why this technology is shifting from a nice-to-have to a retention essential in the hybrid era. If you're a manager or…
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