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Old Moats for New Models: Openness, Control, and Competition in Generative Artificial Intelligence

In: Entrepreneurship and Innovation Policy and the Economy, volume 4

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  • Pierre Azoulay
  • Joshua Krieger
  • Abhishek Nagaraj

Abstract

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Suggested Citation

  • Pierre Azoulay & Joshua Krieger & Abhishek Nagaraj, 2024. "Old Moats for New Models: Openness, Control, and Competition in Generative Artificial Intelligence," NBER Chapters, in: Entrepreneurship and Innovation Policy and the Economy, volume 4, pages 7-46, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:15002
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    1. Kathryn Tunyasuvunakool & Jonas Adler & Zachary Wu & Tim Green & Michal Zielinski & Augustin Žídek & Alex Bridgland & Andrew Cowie & Clemens Meyer & Agata Laydon & Sameer Velankar & Gerard J. Kleywegt, 2021. "Highly accurate protein structure prediction for the human proteome," Nature, Nature, vol. 596(7873), pages 590-596, August.
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    3. Joshua S. Gans, 2026. "Copyright Policy Options for Generative Artificial Intelligence," Journal of Law and Economics, University of Chicago Press, vol. 69(1), pages 1-19.
    4. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
    5. Mary Tripsas, 1997. "Unraveling The Process Of Creative Destruction: Complementary Assets And Incumbent Survival In The Typesetter Industry," Strategic Management Journal, Wiley Blackwell, vol. 18(S1), pages 119-142, July.
    6. Hong Luo & Julie Holland Mortimer, 2017. "Copyright Enforcement: Evidence from Two Field Experiments," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(2), pages 499-528, June.
    7. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87, World Scientific Publishing Co. Pte. Ltd..
    8. Alexander V. Giczy & Nicholas A. Pairolero & Andrew A. Toole, 2022. "Identifying artificial intelligence (AI) invention: a novel AI patent dataset," The Journal of Technology Transfer, Springer, vol. 47(2), pages 476-505, April.
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    Cited by:

    1. Yan Liu, 2024. "Generative AI : Catalyst for Growth or Harbinger of Premature De-Professionalization ?," Policy Research Working Paper Series 10915, The World Bank.
    2. Gaétan de Rassenfosse & Adam B. Jaffe & Joel Waldfogel, 2025. "Intellectual Property and Creative Machines," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 4(1), pages 47-79.

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