IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/15310.html

Comment on "The Coasean Singularity? Demand, Supply, and Market Design with AI Agents"

In: The Economics of Transformative AI

Author

Listed:
  • David Rothschild

Abstract

No abstract is available for this item.

Suggested Citation

  • David Rothschild, 2025. "Comment on "The Coasean Singularity? Demand, Supply, and Market Design with AI Agents"," NBER Chapters, in: The Economics of Transformative AI, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberch:15310
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c15310.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Eleanor Wiske Dillon & Sonia Jaffe & Nicole Immorlica & Christopher T. Stanton, 2025. "Shifting Work Patterns with Generative AI," Papers 2504.11436, arXiv.org, revised Nov 2025.
    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. Lukas Althoff & Hugo Reichardt, 2026. "Task-Specific Technical Change and Comparative Advantage," CESifo Working Paper Series 12403, CESifo.
    2. Jian Xue & Qian Zhang & Wu Zhu, 2025. "Generative AI for Analysts," Papers 2512.19705, arXiv.org.
    3. Anais Galdin & Jesse Silbert, 2025. "Making Talk Cheap: Generative AI and Labor Market Signaling," Papers 2511.08785, arXiv.org.
    4. Zara Contractor & Germ'an Reyes, 2025. "Generative AI in Higher Education: Evidence from an Elite College," Papers 2508.00717, arXiv.org, revised Apr 2026.
    5. Christoph Riedl & Eric Bogert, 2024. "Who Benefits from AI? Self-Selection, Skill Gap, and the Hidden Costs of AI Feedback," Papers 2409.18660, arXiv.org, revised Apr 2026.
    6. Carvajal, Daniel & Franco, Catalina & Isaksson, Siri, 2024. "Will Artificial Intelligence Get in the Way of Achieving Gender Equality?," Discussion Paper Series in Economics 3/2024, Norwegian School of Economics, Department of Economics, revised 28 Apr 2025.
    7. Riccardo Zanardelli, 2025. "Navigating the safe harbor paradox in human-machine systems," Papers 2509.14057, arXiv.org, revised Jan 2026.
    8. Francesco Venturini, 2025. "Generative AI and Income Growth: Early Evidence on Global Data," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 31-46.
    9. Giampaolo Bonomi, 2026. "The Division of Understanding: Specialization and Democratic Accountability," Papers 2604.09871, arXiv.org, revised May 2026.
    10. Leonardo Gambacorta & Enisse Kharroubi & Aaron Mehrotra & Livia Pancotto, 2026. "Economic impact of AI in emerging market economies," BIS Bulletins 121, Bank for International Settlements.
    11. Standaert, Thomas & Andries, Petra, 2026. "Overcoming difficulties in knowledge transfer: Harnessing the power of AI to drive process innovation," Technovation, Elsevier, vol. 149(C).
    12. Lilia Patrignani, 2024. "Understanding digital trade," Questioni di Economia e Finanza (Occasional Papers) 841, Bank of Italy, Economic Research and International Relations Area.
    13. Andrew Johnston & Christos A. Makridis, 2026. "AI, Output, and Employment," CESifo Working Paper Series 12579, CESifo.
    14. Feiyang Xu & Poonacha K. Medappa & Murat M. Tunc & Martijn Vroegindeweij & Jan C. Fransoo, 2025. "AI-Assisted Programming Decreases the Productivity of Experienced Developers by Increasing the Technical Debt and Maintenance Burden," Papers 2510.10165, arXiv.org, revised Jan 2026.
    15. Amali Matharaarachchi & Wishmitha Mendis & Kanishka Randunu & Daswin De Silva & Gihan Gamage & Harsha Moraliyage & Nishan Mills & Andrew Jennings, 2024. "Optimizing Generative AI Chatbots for Net-Zero Emissions Energy Internet-of-Things Infrastructure," Energies, MDPI, vol. 17(8), pages 1-19, April.
    16. Andreas D. Landmark & Johan E. Ravn & Hans Y. Torvatn & Lisbeth Øyum, 2024. "Digital Transformations Through the Lens of the Collaborative, Co-Generative and Domesticative," Systemic Practice and Action Research, Springer, vol. 37(5), pages 537-548, October.
    17. Martin Baily & David Byrne & Aidan Kane & Paul Soto, 2025. "Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope?," Papers 2505.14588, arXiv.org, revised Sep 2025.
    18. Yukun Zhang & Tianyang Zhang, 2026. "Generative AI as a Non-Convex Supply Shock: Market Bifurcation and Welfare Analysis," Papers 2601.12488, arXiv.org.
    19. Leonardo Gambacorta & Han Qiu & Shuo Shan & Daniel M Rees, 2024. "Generative AI and labour productivity: a field experiment on coding," BIS Working Papers 1208, Bank for International Settlements.
    20. Christian Peukert & Florian Abeillon & Jérémie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," CESifo Working Paper Series 11099, CESifo.

    More about this item

    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:nbr:nberch:15310. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.