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The price of intelligence: How should socially-minded firms price and deploy AI?

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  • Lehr, Nils H.
  • Restrepo, Pascual

Abstract

Leading AI firms claim to prioritize social welfare. How should firms with a social mandate price and deploy AI? We derive pricing formulas that depart from profit maximization by incorporating incentives to improve welfare and reduce labor disruptions. Using US data, we evaluate several scenarios. A welfarist firm that values both profit and welfare should price closer to marginal cost, as efficiency gains outweigh distributional concerns. A conservative firm focused on labor-market stability should price above the profit-maximizing level in the short run, especially when its AI may displace low-income workers. Overall, socially minded firms face a trade-off between expanding access to AI and the resulting loss in profits and labor market risks.

Suggested Citation

  • Lehr, Nils H. & Restrepo, Pascual, 2026. "The price of intelligence: How should socially-minded firms price and deploy AI?," Journal of Monetary Economics, Elsevier, vol. 157(C).
  • Handle: RePEc:eee:moneco:v:157:y:2026:i:c:s0304393225001515
    DOI: 10.1016/j.jmoneco.2025.103880
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    1. Charles I. Jones, 2024. "The AI Dilemma: Growth versus Existential Risk," American Economic Review: Insights, American Economic Association, vol. 6(4), pages 575-590, December.
    2. Guerreiro, João & Rebelo, Sérgio & Teles, Pedro, 2023. "Regulating Artificial Intelligence," CEPR Discussion Papers 18625, Centre for Economic Policy Research.
    3. Ed Felten & Manav Raj & Robert Seamans, 2023. "How will Language Modelers like ChatGPT Affect Occupations and Industries?," Papers 2303.01157, arXiv.org, revised Mar 2023.
    4. Ariel Burstein & Eduardo Morales & Jonathan Vogel, 2019. "Changes in Between-Group Inequality: Computers, Occupations, and International Trade," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 348-400, April.
    5. Charles I. Jones, 2025. "How Much Should We Spend to Reduce AI's Existential Risk?," NBER Chapters, in: The Economics of Transformative AI, National Bureau of Economic Research, Inc.
    6. Daron Acemoglu & Andrea Manera & Pascual Restrepo, 2020. "Does the US Tax Code Favor Automation?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(1 (Spring), pages 231-300.
    7. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    8. Lockwood, Benjamin B. & Weinzierl, Matthew, 2016. "Positive and normative judgments implicit in U.S. tax policy, and the costs of unequal growth and recessions," Journal of Monetary Economics, Elsevier, vol. 77(C), pages 30-47.
    9. Uwe Thuemmel, 2023. "Optimal Taxation of Robots," Journal of the European Economic Association, European Economic Association, vol. 21(3), pages 1154-1190.
    10. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
    11. Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
    12. Qingjun Li & Shuliang Zhao, 2023. "The Impact of Digital Economy Development on Industrial Restructuring: Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    13. Mark Bils & Bariş Kaymak & Kai-Jie Wu, 2024. "Labor Substitutability among Schooling Groups," American Economic Journal: Macroeconomics, American Economic Association, vol. 16(4), pages 1-34, October.
    14. Daron Acemoglu & Todd Lensman, 2024. "Regulating Transformative Technologies," American Economic Review: Insights, American Economic Association, vol. 6(3), pages 359-376, September.
    15. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    16. Christian Broda & David E. Weinstein, 2006. "Globalization and the Gains From Variety," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 541-585.
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    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

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