Defining adaptive capacity components

A new NBER study argues the real risk from AI isn’t which jobs are exposed, but which workers lack the savings, transferable skills, mobility, and age advantage to adapt when disruption hits. While many highly exposed professionals appear relatively resilient, a smaller and more vulnerable group—disproportionately women in clerical and administrative roles—faces the greatest danger, suggesting policy should focus less on abstract job loss and more on rapid, targeted support for those least able to adjust. In the headlines: OpenAI pledges community-focused data center investments, the White House pushes an emergency power auction to address rising electricity costs, and Davos leaders debate whether AI disruption may outpace society’s ability to respond.

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