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December 9, 2025Behavioral Sciences4 citationsOpen Access

The Double-Edged Sword Effect of Generative AI Adoption on Students’ Sustainable Entrepreneurship Intentions

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WKWeiwei KongHHHaiqing HuZWZhaoqun Wang

Key Points

  • This research examines how generative AI affects students' sustainable entrepreneurship intentions through different psychological pathways.
  • Questionnaire survey conducted among 357 business students in public universities in China.
  • Assessment of sustainable entrepreneurial intentions and self-efficacy as influenced by generative AI adoption.
  • Evaluation of how artificial intelligence literacy moderates these relationships.
  • Generative AI adoption improves sustainable entrepreneurial intentions by boosting self-efficacy through a promotion-focused pathway.
  • Adoption also raises fear of failure, negatively impacting entrepreneurial intentions through a prevention-focused pathway.
  • Artificial intelligence literacy enhances the positive effects on self-efficacy and mitigates fear of failure.

Abstract

Grounded in regulatory focus theory, this study investigates the double-edged sword effect of generative AI adoption on sustainable entrepreneurial intentions and its underlying mechanisms. A questionnaire-based survey was conducted among 357 business students from public universities in China. The results reveal that generative AI adoption exerts a double-edged effect: it enhances sustainable entrepreneurial intentions by strengthening sustainable entrepreneurial self-efficacy through a promotion-focused pathway, while simultaneously undermining such intentions by heightening sustainable entrepreneurial fear of failure via a prevention-focused pathway. Moreover, artificial intelligence literacy moderates these relationships, amplifying the positive influence of generative AI adoption on entrepreneurial self-efficacy and attenuating its negative effect on fear of failure. This study enhances understanding of sustainable entrepreneurship amid the rise in generative AI, extends regulatory focus theory, and informs the development of AI-integrated sustainability education in academic institutions.

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Cite This Study

Kong et al. (2025) studied this question.

synapsesocial.com/papers/69401d682d562116f28f927chttps://doi.org/10.3390/bs15121705
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