AI对劳动力市场影响引发经济学家分歧

A new WSJ piece. AI is splitting labor economists because the same evidence supports 3 futures: higher productivity with new work, painful disruption for older and mid-skill workers, or a break from wage-based income if machines become broad substitutes for human labor.

Anton Korinek (Univ of Virginia ) treats AI as a possible Industrial Revolution in reverse, because human labor became scarce after machines amplified muscles, while future AI may make both cognitive and physical labor less scarce.

David Autor (MIT professor) rejects a software jobs collapse because past computing waves killed tasks, created new specialties, and raised the value of judgment, expertise, trust, and human contact.

Martha Gimbel (director of Yale University’s Budget Lab.) argues that Silicon Valley overreads tidy coding work as a model for the whole economy, while many real jobs involve messy goals, care, persuasion, taste, and relationships.

White-collar “laptop professions” face the clearest pressure because law, finance, consulting, accounting, translation, call centers, middle management, copywriting, and illustration can be broken into repeatable information tasks.

wsj .com/economy/jobs/ai-jobs-economists-f787105d?mod=e2tw