Where AI Can — and Can’t — Help Talent Management

For more than a year now, organizations have struggled to hold onto talent. According to the U.S. Bureau of Labor Statistics, 4.2 million people voluntarily quit their jobs in August 2022. At the same time, there were 10.1 million job openings. Between the Great Resignation and more recent trends like “quiet quitting,” traditional approaches for winning talented workers haven’t always cut it in this fiercely competitive market.

An emerging wave of AI tools for talent management have the potential to help organizations find better job candidates faster, provide more impactful employee development, and promote retention through more effective employee engagement. But while AI might enable leaders to address talent management pain points by making processes faster and more efficient, AI implementation comes with a unique set of challenges that warrant significant attention.

Before leaders adopt these tools, they need to understand how and where AI might offer…

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This article was written by Jessica Kim-Schmid and originally published on hbr.org