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NBER Working Papers · November 9, 2026 · On the brief until November 23, 2026

TaskNet: Building Occupational Task Inventories from Worker Interviews at Scale -- by Jennifer Wang, Andreas Haupt, Isaac Robinson, Phil Lewis, Erik Brynjolfsson, Diyi Yang

EconomicsHuman ResourcesManagement
THE AI ANGLE
Reshaping daily work tasks and altering occupational exposure metrics

Researchers built TaskNet to interview workers directly and compile occupational task inventories. Across six occupations, the system uncovered 79 tasks missing from the standard O*NET database. These additions shifted measured AI exposure ratings for roles like software developers and lawyers.

Summary written by AI Business Lens with an AI model from the article at nber.org. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
Static job descriptions fail to track everyday duties, skewing workforce assessments.

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