Can AI Predict Employee Attrition Before It Happens?
For years, organizations have treated attrition as a hiring problem. They invest in better sourcing, larger recruitment teams, stronger employer branding and faster onboarding, believing the next hire will solve the last resignation.
Yet across frontline industries like banking, retail, logistics and healthcare, annual attrition continues to exceed 100%. Companies replace entire workforces every year, only to find themselves hiring for the same roles again a few months later.
As Gen Z reshapes the workforce, organizations must rethink one of HR’s oldest assumptions, that listening once or twice a year is enough. It isn’t.
Perhaps the real problem isn’t hiring.
Perhaps the real problem is that organizations discover employees are unhappy only after they’ve already decided to leave, which raises a harder question than “how do we hire better?” Can attrition actually be predicted before it happens, or is every intervention destined to arrive after the fact?
Attrition Begins Long...
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