Training Your Replacement: Worker Incentives and the Pace of Automation -- by Joshua S. Gans, Peter Landry

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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

    Thanks to Michael Dalton for helpful discussions, to Refine.ink, Claude Opus 5.5 and ChatGPT 6 Astra for helpful research assistance, and to the SSRHC for funding (Gans). Responsibility for all errors is our own. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.


    Joshua S. Gans

    Joshua Gans has drawn on the findings of his research for both compensated speaking engagements and consulting engagements. He has written the books Prediction Machines, Power & Prediction, and Innovation + Equality on the economics of AI for which he receives royalties. He is also chief economist of the Creative Destruction Lab, a University of Toronto-based program that helps seed stage companies, from which he receives compensation. He conducts consulting on anti-trust and intellectual property matters with an association with Keystone Strategy and his ownership of Core Economic Research Ltd. He also has equity and advisory relationships with a number of startup firms. Joshua is also a co-founder of All Day TA.

  • Citation and Citation DataCopy Citation Joshua S. Gans and Peter Landry, "Training Your Replacement: Worker Incentives and the Pace of Automation," NBER Working Paper 35950 (2026), https://doi.org/10.3386/w35950. Copy to Clipboard Download Citation
SI 2026 Methods Lecture
Using AI in Household Finance Research: A Practical Guide

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本文由NBER于2026年10月22日首次发布。HUE Legacy Ventures 并非本文作者。

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