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

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2026, 18th Annual Feldstein Lecture, Mark Duggan, "Social Security Reform in an Era of Fiscal Deficits" Primary tabs
  • Acknowledgements and Disclosures

    We would like to thank members of the Stanford Social and Language Technology Lab and the Stanford Digital Economy Lab for their helpful discussions and feedback. We are especially grateful to Tijana Zrnic, Bharat Chandar, David Autor, Luca Vendraminelli, Henri Beyer, Joachim Baumann, Vishakh Padmakumar, and Michael Ryan. This research is supported in part by the Laude Moonshot Seed Grant on “Collaborative Intelligence for the Future of Work”, ONR grant N000142412532, Singapore Ministry of Digital Development and Information (to DY), and the Stanford Digital Economy Lab. JW is partially supported by NSF DGE-2146755. EB and AH received support from Schmidt Sciences. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.


    Phil Lewis

    Erik Brynjolfsson is the Director of the Stanford Digital Economy Lab which is partially funded by a variety of industry, government and nonprofit organizations. He has given over 400 talks, some of which were compensated.

  • Citation and Citation DataCopy Citation Jennifer Wang, Andreas Haupt, Isaac Robinson, Phil Lewis, Erik Brynjolfsson, and Diyi Yang, "TaskNet: Building Occupational Task Inventories from Worker Interviews at Scale," NBER Working Paper 35987 (2026), https://doi.org/10.3386/w35987. Copy to Clipboard Download Citation
SI 2026 Methods Lecture
Using AI in Household Finance Research: A Practical Guide

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