How can employers avoid an AI-generated, "anticipatory exodus" of white-collar workers?
If employers across the economy are to prevent a damaging, AI-driven "anticipatory exodus" of white-collar workers, they will need to bridge the "confidence gap" and actively mitigate fears that such jobs are surplus to requirements, experts say.
As Tina Shah Paikeday, a Researcher at the Drucker School of Management at Claremont Graduate University in California, points out:
The anticipatory exodus is driven by fear, rather than a displacement exodus driven by actual job loss. White-collar workers are trying to understand whether AI will make their roles more valuable, less secure, or simply harder to navigate. That uncertainty can absolutely affect retention, career planning, and willingness to stay in certain fields.
A key problem here, she says, is that:
AI capabilities have moved faster than the change management, workforce planning, management, and training systems most organizations had in place. As a result, employees often feel the uncertainty before employers have clear...
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