IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v84y2026ics0160791x25002775.html

Creative scar without generative AI: Individual creativity fails to sustain while homogeneity keeps climbing

Author

Listed:
  • Zhou, Yiyong
  • Liu, Qinghan
  • Huang, Jihao
  • Li, Guiquan

Abstract

Generative AI such as ChatGPT has been proven to enhance human creativity at the cost of content diversity. Yet, what occurs when individuals, who have developed a dependency on it, find ChatGPT inaccessible? In this study, we examine the impact of both the presence and absence of ChatGPT on sustained creative output and content homogeneity, leveraging two complementary methodologies: a natural experiment (Study 1) and a controlled laboratory experiment with extended follow-ups (Study 2). Study 1 analyzed 419,344 academic papers published before and after ChatGPT-3.5’s release across all subjects categorized by Web of Science (i.e., Physical Sciences, Life Sciences & Biomedicine, Technology, Social Sciences, Arts & Humanities). Study 2, a seven-day laboratory experiment with two follow-up surveys, collected 3593 original ideas and 427 solutions across 18 different creative tasks, with half of the participants using ChatGPT-4. We find that although generative AI helps scholars to publish more academic works in higher-ranked journals and enhances individuals' performance in creative tasks, such creativity drops remarkably upon withdrawal of AI assistance. Strikingly, the induced content homogeneity keeps climbing even months later. We resemble the latter as a creative scar inked in the temporal creativity trajectory. This research identifies a creativity illusion that although generative AI can augment creative performance, users do not truly acquire the ability to create but easily lost it once generative AI is no longer available.

Suggested Citation

  • Zhou, Yiyong & Liu, Qinghan & Huang, Jihao & Li, Guiquan, 2026. "Creative scar without generative AI: Individual creativity fails to sustain while homogeneity keeps climbing," Technology in Society, Elsevier, vol. 84(C).
  • Handle: RePEc:eee:teinso:v:84:y:2026:i:c:s0160791x25002775
    DOI: 10.1016/j.techsoc.2025.103087
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X25002775
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2025.103087?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Berg, Justin M. & Duguid, Michelle M. & Goncalo, Jack A. & Harrison, Spencer H. & Miron-Spektor, Ella, 2023. "Escaping irony: Making research on creativity in organizations more creative," Organizational Behavior and Human Decision Processes, Elsevier, vol. 175(C).
    2. Murillo Campello & Janet Gao & Jiaping Qiu & Yue Zhang, 2018. "Bankruptcy and the Cost of Organized Labor: Evidence from Union Elections," The Review of Financial Studies, Society for Financial Studies, vol. 31(3), pages 980-1013.
    3. Laura Acion & Mariela Rajngewerc & Gregory Randall & Lorena Etcheverry, 2023. "Generative AI poses ethical challenges for open science," Nature Human Behaviour, Nature, vol. 7(11), pages 1800-1801, November.
    4. Janet Rafner & Roger E. Beaty & James C. Kaufman & Todd Lubart & Jacob Sherson, 2023. "Creativity in the age of generative AI," Nature Human Behaviour, Nature, vol. 7(11), pages 1836-1838, November.
    5. Ryosuke Nakadai & Yo Nakawake & Shota Shibasaki, 2023. "AI language tools risk scientific diversity and innovation," Nature Human Behaviour, Nature, vol. 7(11), pages 1804-1805, November.
    6. Anil R. Doshi & J. Jason Bell & Emil Mirzayev & Bart S. Vanneste, 2025. "Generative artificial intelligence and evaluating strategic decisions," Strategic Management Journal, Wiley Blackwell, vol. 46(3), pages 583-610, March.
    7. Léonard Boussioux & Jacqueline N. Lane & Miaomiao Zhang & Vladimir Jacimovic & Karim R. Lakhani, 2024. "The Crowdless Future? Generative AI and Creative Problem-Solving," Organization Science, INFORMS, vol. 35(5), pages 1589-1607, September.
    8. Kevin Bauer & Andrej Gill, 2024. "Mirror, Mirror on the Wall: Algorithmic Assessments, Transparency, and Self-Fulfilling Prophecies," Information Systems Research, INFORMS, vol. 35(1), pages 226-248, March.
    9. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    10. Ilona Babenko & Viktar Fedaseyeu & Song Zhang, 2023. "Executives in Politics," Management Science, INFORMS, vol. 69(10), pages 6251-6270, October.
    11. Richard Heersmink, 2024. "Use of large language models might affect our cognitive skills," Nature Human Behaviour, Nature, vol. 8(5), pages 805-806, May.
    12. Marzyeh Ghassemi & Abeba Birhane & Mushtaq Bilal & Siddharth Kankaria & Claire Malone & Ethan Mollick & Francisco Tustumi, 2023. "ChatGPT one year on: who is using it, how and why?," Nature, Nature, vol. 624(7990), pages 39-41, December.
    13. Lennart Meincke & Gideon Nave & Christian Terwiesch, 2025. "ChatGPT decreases idea diversity in brainstorming," Nature Human Behaviour, Nature, vol. 9(6), pages 1107-1109, June.
    14. Amanda Heitz & Youan Wang & Zigan Wang, 2023. "Corporate Political Connections and Favorable Environmental Regulatory Enforcement," Management Science, INFORMS, vol. 69(12), pages 7838-7859, December.
    15. Gavin Wang & Lynn Wu, 2025. "Artificial Intelligence, Lean Startup Method, and Product Innovations," Papers 2506.16334, arXiv.org, revised Aug 2025.
    16. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    17. Pat Akey, 2015. "Valuing Changes in Political Networks: Evidence from Campaign Contributions to Close Congressional Elections," The Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3188-3223.
    18. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    19. Campello, Murillo & Gao, Janet & Qiu, Jiaping & Zhang, Yue, 2018. "Bankruptcy and the cost of organized labor: Evidence from union elections," LIDAM Reprints LFIN 2018015, Université catholique de Louvain, Louvain Finance (LFIN).
    20. 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.
    21. Richard Watermeyer & Donna Lanclos & Lawrie Phipps, 2024. "Does generative AI help academics to do more or less?," Nature, Nature, vol. 625(7995), pages 450-450, January.
    22. Anders Humlum & Emilie Vestergaard, 2025. "The unequal adoption of ChatGPT exacerbates existing inequalities among workers," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 122(1), pages 2414972121-, January.
    23. Hung, Chih-Lung & Wu, Jen-Her & Chiang, Po-Chuen & Li, Qi & Chen, Yi-Cheng, 2025. "Factors driving user behavior and value creation with text-to-image generative artificial intelligence (AI): A systems theory perspective," Technology in Society, Elsevier, vol. 83(C).
    24. Byung Cheol Lee & Jaeyeon (Jae) Chung, 2024. "An empirical investigation of the impact of ChatGPT on creativity," Nature Human Behaviour, Nature, vol. 8(10), pages 1906-1914, October.
    25. Daniel Bradley & Incheol Kim & Xuan Tian, 2017. "Do Unions Affect Innovation?," Management Science, INFORMS, vol. 63(7), pages 2251-2271, July.
    26. Lixiang Yan & Samuel Greiff & Ziwen Teuber & Dragan Gašević, 2024. "Promises and challenges of generative artificial intelligence for human learning," Nature Human Behaviour, Nature, vol. 8(10), pages 1839-1850, October.
    27. Zenan Chen & Jason Chan, 2024. "Large Language Model in Creative Work: The Role of Collaboration Modality and User Expertise," Management Science, INFORMS, vol. 70(12), pages 9101-9117, December.
    28. Richard Van Noorden & Richard Webb, 2023. "ChatGPT and science: the AI system was a force in 2023 — for good and bad," Nature, Nature, vol. 624(7992), pages 509-509, December.
    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. Kim, Jeong-Bon & Zhang, Eliza Xia & Zhong, Kai, 2021. "Does unionization affect the manager–shareholder conflict? Evidence from firm-specific stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 69(C).
    2. Ghaly, Mohamed & Kostakis, Alexandros & Stathopoulos, Konstantinos, 2021. "The (non-) effect of labor unionization on firm risk: Evidence from the options market," Journal of Corporate Finance, Elsevier, vol. 66(C).
    3. Kim, Hyemin, 2024. "Effects of customer unionization on supplier relationships and supplier value," Journal of Empirical Finance, Elsevier, vol. 78(C).
    4. Magnus Schauf & Eline Schoonjans, 2022. "Better Safe than Sorry: Toxic Waste Management after Unionization," Working Papers 220, Bavarian Graduate Program in Economics (BGPE).
    5. Omesh Kini & Mo Shen & Jaideep Shenoy & Venkat Subramaniam, 2022. "Labor Unions and Product Quality Failures," Management Science, INFORMS, vol. 68(7), pages 5403-5440, July.
    6. Vivek Astvansh & Beibei Wang & Tao Chen & Jimmy Chengyuan Qu, 2024. "Labor unionization and real earnings management: Evidence from labor elections," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-27, February.
    7. Woon Sau Leung & Jing Li & Jiong Sun, 2020. "Labor Unionization and Supply‐Chain Partners’ Performance," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1325-1353, May.
    8. Qu, Jimmy Chengyuan, 2024. "Labor unionization and trade credit: A regression discontinuity design," Finance Research Letters, Elsevier, vol. 70(C).
    9. Jie He & Xuan Tian & Huan Yang & Luo Zuo, 2020. "Asymmetric Cost Behavior and Dividend Policy," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 58(4), pages 989-1021, September.
    10. Guoyu Lin & Anna Bergman Brown & Wentao Wu, 2023. "The effect of unionization on firms’ earnings management and employee compensation: Evidence from a regression discontinuity design," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(9-10), pages 1715-1742, October.
    11. Joshua D Gottlieb & Richard R Townsend & Ting Xu, 2022. "Does Career Risk Deter Potential Entrepreneurs?," The Review of Financial Studies, Society for Financial Studies, vol. 35(9), pages 3973-4015.
    12. Diegmann, André & Pohlan, Laura & Weber, Andrea, 2024. "Do Politicians Affect Firm Outcomes? Evidence from Connections to the German Federal Parliament," IZA Discussion Papers 17031, IZA Network @ LISER.
    13. Dong, Yingying, 2010. "Jumpy or Kinky? Regression Discontinuity without the Discontinuity," MPRA Paper 25461, University Library of Munich, Germany.
    14. Marco Alberto De Benedetto, 2014. "Incumbency Advantage at Municipal Elections in Italy: A Quasi-Experimental Approach," Birkbeck Working Papers in Economics and Finance 1408, Birkbeck, Department of Economics, Mathematics & Statistics.
    15. Ivan A Canay & Vishal Kamat, 2018. "Approximate Permutation Tests and Induced Order Statistics in the Regression Discontinuity Design," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1577-1608.
    16. Frederik von Waldow & Heike Link, 2024. "Spatial Competition and Pass-through of Fuel Taxes: Evidence from a Quasi-natural Experiment in Germany," Discussion Papers of DIW Berlin 2086, DIW Berlin, German Institute for Economic Research.
    17. KAREKURVE-RAMACHANDRA, VARUN & Singh, Sudhir & Stommes, Drew, 2024. "Political Exit: The Unintended Effects of Electoral Rules," OSF Preprints d7xsk_v1, Center for Open Science.
    18. Li, Ruonan & Lu, Feng & Xu, Jun & Chen, Kai & Zhao, Xiaoli, 2023. "Effect of carbon information disclosure with consistent evaluation standards: An empirical study about carbon efficiency label in Huzhou China," Energy Policy, Elsevier, vol. 181(C).
    19. Vergolini, Loris & Zanini, Nadir, 2015. "Away, but not too far from home. The effects of financial aid on university enrolment decisions," Economics of Education Review, Elsevier, vol. 49(C), pages 91-109.
    20. Adam C. Sales & Ben B. Hansen, 2020. "Limitless Regression Discontinuity," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 143-174, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:teinso:v:84:y:2026:i:c:s0160791x25002775. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.