IDEAS home Printed from https://ideas.repec.org/a/kap/jincot/v24y2024i1d10.1007_s10842-024-00430-9.html
   My bibliography  Save this article

Generative Artificial Intelligence, Content Creation, and Platforms

Author

Listed:
  • Evangelos Katsamakas

    (Gabelli School of Business, Fordham University)

  • J. Manuel Sanchez-Cartas

    (Universidad Complutense de Madrid, Campus de Somosaguas)

Abstract

Generative AI (GenAI) is a rapidly growing technology that is expected to transform business and society. An important question is how it will affect platforms and their ecosystems, especially human-generated content upon which many platforms rely. We develop an analytical model to study the economic impact of content platforms that use GenAI, namely GenAI content platforms (GCPs). A GCP connects consumers to content generated by creators or the GenAI and offers APIs and tools to developers who build new applications in a third market. We find that although platforms have incentives to moderate the use of GenAI, this technology increases prices and reduces the quantity and number of content creators. This effect is not homogeneous, as GenAI has less influence on competitive or high entry-cost markets. Consequently, consumer welfare in content markets is reduced, but this decline varies by market. Overall, our analysis contributes to the platform and the AI economics research literature by providing testable hypotheses about the impact of GenAI in platform settings.

Suggested Citation

  • Evangelos Katsamakas & J. Manuel Sanchez-Cartas, 2024. "Generative Artificial Intelligence, Content Creation, and Platforms," Journal of Industry, Competition and Trade, Springer, vol. 24(1), pages 1-20, December.
  • Handle: RePEc:kap:jincot:v:24:y:2024:i:1:d:10.1007_s10842-024-00430-9
    DOI: 10.1007/s10842-024-00430-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10842-024-00430-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10842-024-00430-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Michael Spence, 1976. "Product Selection, Fixed Costs, and Monopolistic Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 43(2), pages 217-235.
    3. Calvano, Emilio & Calzolari, Giacomo & Denicolò, Vincenzo & Pastorello, Sergio, 2023. "Algorithmic collusion: Genuine or spurious?," International Journal of Industrial Organization, Elsevier, vol. 90(C).
    4. E. Glen Weyl, 2010. "A Price Theory of Multi-sided Platforms," American Economic Review, American Economic Association, vol. 100(4), pages 1642-1672, September.
    5. Sebastian Krakowski & Johannes Luger & Sebastian Raisch, 2023. "Artificial intelligence and the changing sources of competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1425-1452, June.
    6. Rochet, Jean Charles & Tirole, Jean, 2008. "Tying in two-sided markets and the honor all cards rule," International Journal of Industrial Organization, Elsevier, vol. 26(6), pages 1333-1347, November.
    7. Howard F. Chang, 1995. "Patent Scope, Antitrust Policy, and Cumulative Innovation," RAND Journal of Economics, The RAND Corporation, vol. 26(1), pages 34-57, Spring.
    8. Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, June.
    9. Christian Peukert & Florian Abeillon & Jérémie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," CESifo Working Paper Series 11099, CESifo.
    10. Geoffrey G. Parker & Marshall W. Van Alstyne, 2005. "Two-Sided Network Effects: A Theory of Information Product Design," Management Science, INFORMS, vol. 51(10), pages 1494-1504, October.
    11. Geoffrey Parker & Marshall Van Alstyne, 2018. "Innovation, Openness, and Platform Control," Management Science, INFORMS, vol. 64(7), pages 3015-3032, July.
    12. Andrei Hagiu, 2006. "Pricing and Commitment by Two-Sided Platforms," RAND Journal of Economics, The RAND Corporation, vol. 37(3), pages 720-737, Autumn.
    13. Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2020. "Artificial Intelligence, Algorithmic Pricing, and Collusion," American Economic Review, American Economic Association, vol. 110(10), pages 3267-3297, October.
    14. Hemant K. Bhargava, 2022. "The Creator Economy: Managing Ecosystem Supply, Revenue Sharing, and Platform Design," Management Science, INFORMS, vol. 68(7), pages 5233-5251, July.
    15. Christian Peukert & Florian Abeillon & J'er'emie Haese & Franziska Kaiser & Alexander Staub, 2024. "Strategic Behavior and AI Training Data," Papers 2404.18445, arXiv.org.
    16. Evans David S., 2003. "Some Empirical Aspects of Multi-sided Platform Industries," Review of Network Economics, De Gruyter, vol. 2(3), pages 1-19, September.
    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. Jin Li & Gary Pisano & Yejia Xu & Feng Zhu, 2023. "Marketplace Scalability and Strategic Use of Platform Investment," Management Science, INFORMS, vol. 69(7), pages 3958-3975, July.
    2. Burcu Tan & Edward G. Anderson, Jr. & Geoffrey G. Parker, 2020. "Platform Pricing and Investment to Drive Third-Party Value Creation in Two-Sided Networks," Information Systems Research, INFORMS, vol. 31(1), pages 217-239, March.
    3. Satish Nambisan & Shaker A. Zahra & Yadong Luo, 2019. "Global platforms and ecosystems: Implications for international business theories," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(9), pages 1464-1486, December.
    4. Jan Frederic Nerbel & Markus Kreutzer, 2023. "Digital platform ecosystems in flux: From proprietary digital platforms to wide-spanning ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-20, December.
    5. Jacobides, Michael G. & Cennamo, Carmelo & Gawer, Annabelle, 2024. "Externalities and complementarities in platforms and ecosystems: From structural solutions to endogenous failures," Research Policy, Elsevier, vol. 53(1).
    6. Doh-Shin Jeon & Nikrooz Nasr, 2016. "News Aggregators and Competition among Newspapers on the Internet," American Economic Journal: Microeconomics, American Economic Association, vol. 8(4), pages 91-114, November.
    7. Tang, Hua & Chen, Jing & Ai, Xingzheng & Li, Xiaojing & He, Haojia, 2023. "First-party content decision under competitive hardware/software platforms: Free vs. charge," European Journal of Operational Research, Elsevier, vol. 311(3), pages 1068-1083.
    8. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    9. Xing Wan & Javier Cenamor & Geoffrey Parker & Marshall Van Alstyne, 2017. "Unraveling Platform Strategies: A Review from an Organizational Ambidexterity Perspective," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    10. Jeon, Doh-Shin & Jullien, Bruno & Klimenko, Mikhail, 2021. "Language, internet and platform competition," Journal of International Economics, Elsevier, vol. 131(C).
    11. Shi, Xianwei & Liang, Xingkun & Luo, Yining, 2023. "Unpacking the intellectual structure of ecosystem research in innovation studies," Research Policy, Elsevier, vol. 52(6).
    12. Jingtao Yi & Jinqiu He & Lihong Yang, 2019. "Platform heterogeneity, platform governance and complementors’ product performance: an empirical study of the mobile application industry," Frontiers of Business Research in China, Springer, vol. 13(1), pages 1-20, December.
    13. Pieter Gautier & Bo Hu & Makoto Watanabe, 2023. "Marketmaking Middlemen," RAND Journal of Economics, RAND Corporation, vol. 54(1), pages 83-103, March.
    14. Yong Chao & Timothy Derdenger, 2013. "Mixed Bundling in Two-Sided Markets in the Presence of Installed Base Effects," Management Science, INFORMS, vol. 59(8), pages 1904-1926, August.
    15. Martin Poniatowski & Hedda Lüttenberg & Daniel Beverungen & Dennis Kundisch, 2022. "Three layers of abstraction: a conceptual framework for theorizing digital multi-sided platforms," Information Systems and e-Business Management, Springer, vol. 20(2), pages 257-283, June.
    16. Xie, Jiaping & Zhu, Weijun & Wei, Lihong & Liang, Ling, 2021. "Platform competition with partial multi-homing: When both same-side and cross-side network effects exist," International Journal of Production Economics, Elsevier, vol. 233(C).
    17. Peters, Frank, 2018. "The business of video games is a multi-player game : Essays on governance choices and performance in a two-sided market in the cultural industries," Other publications TiSEM 886b3148-4bbb-4ea4-b666-0, Tilburg University, School of Economics and Management.
    18. Key Pousttchi & Alexander Gleiss, 2019. "Surrounded by middlemen - how multi-sided platforms change the insurance industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 609-629, December.
    19. Tavalaei, M. Mahdi, 2020. "Waiting time in two-sided platforms: The case of the airport industry," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    20. Carmen Leong & Silvia Lin & Felix Tan & Jie Yu, 2024. "Coordination in a Digital Platform Organization," Information Systems Research, INFORMS, vol. 35(1), pages 363-393, March.

    More about this item

    Keywords

    Artificial Intelligence (AI); Generative Artificial Intelligence (GenAI); Platforms; Content creators; Competition; Welfare;
    All these keywords.

    JEL classification:

    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

    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:kap:jincot:v:24:y:2024:i:1:d:10.1007_s10842-024-00430-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

    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.