IDEAS home Printed from https://ideas.repec.org/p/zbw/esprep/343972.html

The AI Economy: Adoption, Human Validation, and Labor Demand

Author

Listed:
  • Alemán-Pericón, Christian

Abstract

I study how human validation requirements shape the response of wages and labor demand to AI adoption. I introduce fixed, recurring validation labor into a general equilibrium task model with endogenous AI adoption. It features a validation threshold determining whether the labor created by AI adoption offsets the productive labor it displaces after accounting for demand expansions. I estimate the model using U.S. occupation-task data on human versus AI involvement at work, and AI adoption rates. The estimated U.S. validation requirement lies below the threshold, implying that productive labor displacement dominates and wages fall. For the occupations in the estimation sample, a ten year projection of declining AI costs raises adoption from 18 to 62 percent and nearly triples output, while reducing employment by 13 percent and wages by 43 percent. Extending the exercise to the entire U.S. economy attenuates the employment and wage declines to 5 and 18 percent, respectively.

Suggested Citation

  • Alemán-Pericón, Christian, 2026. "The AI Economy: Adoption, Human Validation, and Labor Demand," EconStor Preprints 343972, ZBW - Leibniz Information Centre for Economics.
  • Handle: RePEc:zbw:esprep:343972
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/343972/1/ai-validation-christian-aleman.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    2. Daron Acemoglu & Fredric Kong & Pascual Restrepo, 2024. "Tasks At Work: Comparative Advantage, Technology and Labor Demand," NBER Working Papers 32872, National Bureau of Economic Research, Inc.
    3. Daron Acemoglu & Pascual Restrepo, 2019. "Automation and New Tasks: How Technology Displaces and Reinstates Labor," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 3-30, Spring.
    4. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    5. Ajay Agrawal & Joshua S. Gans & Avi Goldfarb, 2019. "Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 31-50, Spring.
    6. 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.
    7. Diego Comin & Danial Lashkari & Martí Mestieri, 2021. "Structural Change With Long‐Run Income and Price Effects," Econometrica, Econometric Society, vol. 89(1), pages 311-374, January.
    8. Per Krusell & Lee E. Ohanian & JosÈ-Victor RÌos-Rull & Giovanni L. Violante, 2000. "Capital-Skill Complementarity and Inequality: A Macroeconomic Analysis," Econometrica, Econometric Society, vol. 68(5), pages 1029-1054, September.
    9. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    10. Raj Chetty & Adam Guren & Day Manoli & Andrea Weber, 2011. "Are Micro and Macro Labor Supply Elasticities Consistent? A Review of Evidence on the Intensive and Extensive Margins," American Economic Review, American Economic Association, vol. 101(3), pages 471-475, May.
    11. Diego A. Comin & Martí Mestieri, 2010. "An Intensive Exploration of Technology Diffusion," NBER Working Papers 16379, National Bureau of Economic Research, Inc.
    12. Julieta Caunedo & David Jaume & Elisa Keller, 2023. "Occupational Exposure to Capital-Embodied Technical Change," American Economic Review, American Economic Association, vol. 113(6), pages 1642-1685, June.
    13. 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.
    14. Diego Comin & Bart Hobijn, 2010. "An Exploration of Technology Diffusion," American Economic Review, American Economic Association, vol. 100(5), pages 2031-2059, December.
    15. Simon Gilchrist & John C. Williams, 2000. "Putty-Clay and Investment: A Business Cycle Analysis," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 928-960, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Prashant Garg & Tommaso Crosta & Jasmin Baier, 2026. "Global Automation Atlas," Papers 2605.17086, arXiv.org, revised Oct 2026.
    2. Aakash Kalyani & Nicholas Bloom & Marcela Carvalho & Tarek Hassan & Josh Lerner & Ahmed Tahoun, 2025. "The Diffusion of New Technologies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 1299-1365.
    3. Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Truger, Achim & Wieland, Volker, 2019. "Den Strukturwandel meistern. Jahresgutachten 2019/20 [Dealing with Structural Change. Annual Report 2019/20]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201920.
    4. Jones, C.I., 2016. "The Facts of Economic Growth," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 3-69, Elsevier.
    5. Lu, Chia-Hui, 2025. "Automation and job polarization," Journal of Macroeconomics, Elsevier, vol. 84(C).
    6. repec:ces:ceswps:_12072 is not listed on IDEAS
    7. Zara Contractor & Germ'an Reyes, 2025. "Generative AI in Higher Education: Evidence from an Elite College," Papers 2508.00717, arXiv.org, revised Apr 2026.
    8. Kudoh, Noritaka & Miyamoto, Hiroaki, 2025. "Robots, AI, and unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 174(C).
    9. Tatsuru Kikuchi, 2025. "Weather-Aware AI Systems versus Route-Optimization AI: A Comprehensive Analysis of AI Applications in Transportation Productivity," Papers 2507.17099, arXiv.org.
    10. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
    11. Lee Ohanian & Musa Orak & Shihan Shen, 2023. "Revisiting Capital-Skill Complementarity, Inequality, and Labor Share," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 479-505, December.
    12. Soohyoung Lee & Dawoon Jeong & Jeong-Dong Lee, 2026. "Contrasting pathways of automation: routine task substitution vs. AI complementarity," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-11, December.
    13. Lipowski, Cäcilia & Salomons, Anna & Zierahn-Weilage, Ulrich, 2024. "Expertise at work: New technologies, new skills, and worker impacts," ZEW Discussion Papers 24-044, ZEW - Leibniz Centre for European Economic Research.
    14. Krenz, Astrid & Strulik, Holger, 2025. "Automation and the fall and rise of the servant economy," European Economic Review, Elsevier, vol. 172(C).
    15. Seth Gordon Benzell & Kyle R. Myers, 2026. "Automation Experiments and Inequality," NBER Working Papers 34668, National Bureau of Economic Research, Inc.
    16. Harry Moroz & Mariana Viollaz, 2024. "The Future of Work in Central America and the Dominican Republic," World Bank Publications - Reports 42043, The World Bank Group.
    17. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2024. "New Frontiers: The Origins and Content of New Work, 1940–2018," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(3), pages 1399-1465.
    18. Guo, Xue & Cheng, Aaron & Pavlou, Paul A., 2025. "Skill-biased technical change, again? Online gig platforms and local employment," LSE Research Online Documents on Economics 124538, London School of Economics and Political Science, LSE Library.
    19. FUKAO, Kyoji & IKEUCHI, Kenta & NAGAYA, Yoshiaki & PERUGINI, Cristiano & POMPEI, Fabrizio, 2026. "Automation Risk, Innovative Capital, and Labour Market Outcomes : Evidence from Japan," CEI Working Paper Series 2026-03, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    20. David Autor & Caroline Chin & Anna Salomons & Bryan Seegmiller, 2026. "What Makes New Work Different from More Work?," Annual Review of Economics, Annual Reviews, vol. 18(1), pages 535-559, August.
    21. Bonny Banerjee & Shreya Singh, 2026. "The Human-AI Substitution Principle: When will you be replaced by AI in your organization?," Papers 2607.20781, arXiv.org, revised Aug 2026.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:esprep:343972. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.