Abstract
Generative artificial intelligence (GenAI) is reshaping how creative work is produced, raising new questions about authenticity, originality, and human effort in entrepreneurial settings. We examine how platform-mandated AI-use disclosure is associated with crowdfunding outcomes, using Kickstarter's 2023 disclosure policy and a dataset of over 63,000 campaigns launched between 2022 and 2024. Drawing on signaling theory, we argue that an AI-use label functions as a platform-governed cue that backers may interpret as signaling reduced human effort, potentially shaping how they evaluate creators and campaigns. Empirically, we find that AI-use disclosure is associated with a significantly lower likelihood of campaign success, with this negative association concentrated in reduced backer participation. The disclosure penalty is weaker when campaign descriptions are more subjective and easier to read, but stronger in technology-oriented campaigns where human expertise and originality are especially salient. It is also weaker for creators with stronger prior track records. Our findings identify AI-use disclosure as a novel platform-governed signal in crowdfunding, contribute to research on how platform-designed information environments shape user evaluations, and highlight potential unintended consequences of AI transparency requirements for platform design and policy.
Recommended Citation
Singhal, S., Kim, Y., Kang, S., & Yoon, V. (2026). Will Your AI Turn Backers Away? Evidence From Kickstarter's AI-use Disclosure Policy. Decision Support Systems, 211 Elsevier.
The definitive version is available at https://doi.org/10.1016/j.dss.2026.114773
Department(s)
Business and Information Technology
Publication Status
Open Access
Keywords and Phrases
AI-use disclosure; Crowdfunding; Empirical study; Generative AI; Text analytics
International Standard Serial Number (ISSN)
0167-9236
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2026 Elsevier, All rights reserved.
Creative Commons Licensing

This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Dec 2026
