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Pricing, Mergers, and Regulation Under the AI Flywheel Effect

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  • Yuzhou Chen
  • Yulin Zhang

Abstract

This paper constructs a theoretical model to explore the operating strategies of generative AI firms across two markets: one directly using AI products and the other indirectly through AI‐enabled industries. The model examines how pricing, mergers, and regulatory strategies are influenced by the AI flywheel effect, a virtuous cycle where AI product adoption and user data feedback enhance performance and promote further adoption. Our two‐period model reveals that AI firms can boost profits by lowering prices in the direct market to acquire more usage data. However, excessive data collection per user may decrease profits, depending on the size of the indirect market. The AI flywheel effect's positive externalities and incentive issues impact both data collection strategies and pricing and merger decisions. Our research indicates that the pricing and merger decisions of firms crucially depend on the size of both markets and the rate of improvement in AI technology. If Market B is large, mergers may simultaneously reduce consumer surplus in both markets, a situation that may require regulation; whereas if Market B is small, mergers can actually increase consumer surplus, and policymakers can encourage interfirm connections. These findings provide valuable insights for balancing market efficiency and consumer welfare in the AI era.

Suggested Citation

  • Yuzhou Chen & Yulin Zhang, 2025. "Pricing, Mergers, and Regulation Under the AI Flywheel Effect," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(8), pages 4170-4180, December.
    • Handle: RePEc:wly:mgtdec:v:46:y:2025:i:8:p:4170-4180
    DOI: 10.1002/mde.70007
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    References listed on IDEAS

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    1. Sougata Poddar & Uday Bhanu Sinha, 2004. "On Patent Licensing in Spatial Competition," The Economic Record, The Economic Society of Australia, vol. 80(249), pages 208-218, June.
    2. Julian Wright, 2002. "Access Pricing under Competition: An Application to Cellular Networks," Journal of Industrial Economics, Wiley Blackwell, vol. 50(3), pages 289-315, September.
    3. Xu, Xiaoping & Wang, Yuting & Cheng, T.C.E. & Choi, Tsan-Ming, 2024. "Should live broadcasting platforms adopt artificial intelligence? A sales effort perspective," European Journal of Operational Research, Elsevier, vol. 318(3), pages 979-999.
    4. Shuaishuai Fu & Weida Chen & Junfei Ding, 2023. "The governance of rent‐seeking behavior in carbon asset pledge financing: An evolutionary game perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(5), pages 2856-2868, July.
    5. Kumar, Subodha & Sethi, Suresh P., 2009. "Dynamic pricing and advertising for web content providers," European Journal of Operational Research, Elsevier, vol. 197(3), pages 924-944, September.
    6. 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.
    7. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
    8. Chiara Farronato & Jessica Fong & Andrey Fradkin, 2024. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger," Management Science, INFORMS, vol. 70(1), pages 464-483, January.
    9. Zhen Wang & Chunhui Yuan & Xiaolong Li, 2024. "Unleashing the power of big data for platform firms: A configuration analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(1), pages 300-314, January.
    10. José Luis Moraga‐González & Evgenia Motchenkova & Saish Nevrekar, 2022. "Mergers and innovation portfolios," RAND Journal of Economics, RAND Corporation, vol. 53(4), pages 641-677, December.
    11. Dnes, Antony & Garoupa, Nuno, 2005. "Externality and organizational choice in franchising," Journal of Economics and Business, Elsevier, vol. 57(2), pages 139-149.
    12. Nirvikar Singh & Xavier Vives, 1984. "Price and Quantity Competition in a Differentiated Duopoly," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 546-554, Winter.
    13. Simon Loertscher & Leslie M. Marx, 2022. "Incomplete Information Bargaining with Applications to Mergers, Investment, and Vertical Integration," American Economic Review, American Economic Association, vol. 112(2), pages 616-649, February.
    14. David P. Baron, 2020. "Vertical differentiation, product innovation, and dynamic competition," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(3), pages 635-662, July.
    15. Seth G. Benzell & Jonathan Hersh & Marshall Van Alstyne, 2024. "How APIs Create Growth by Inverting the Firm," Management Science, INFORMS, vol. 70(10), pages 7120-7141, October.
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    1. Chen, Yuzhou & Zhang, Yulin & Fan, Haowen & Guo, Yiting, 2026. "Can AI streamers drive purchases in food delivery E-commerce live streaming? Evidence from an O2O platform," Journal of Retailing and Consumer Services, Elsevier, vol. 90(C).

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