4 years ago
AI will affect better-paid workers—but that doesn’t mean they’re the most vulnerable
Our recent analysis of the possible workforce impacts of artificial intelligence (AI) has introduced some new twists into the “future of work” debate. The analysis, leveraging a novel method developed by Stanford Ph.D. candidate Michael Webb, suggests that AI’s effects may, for better or worse, have a distinctly white-collar tilt. That finding has impinged on at least one of the common views about automation.
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