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Generative AI usage among investor types: The role of personality and perceptions

Author

Listed:
  • Luo, Ji
  • Cao, Qingning
  • Zhang, Shuguang
  • Gu, Dongxiao

Abstract

This study investigates the factors influencing the frequency of generative AI usage among 315 investors, categorized into three groups: stock-only, crypto-only, and diversified. Through surveys and regression analyses, we explore how investment type, personality traits, and perceptions of AI affect adoption. The results reveal that diversified investors use AI most frequently. Narcissism and perceived performance significantly predict AI usage, whereas perceived ease of use does not play a notable role. These findings emphasize the interplay of investor diversity and personality in AI engagement, suggesting the need for tailored AI tools for investors.

Suggested Citation

  • Luo, Ji & Cao, Qingning & Zhang, Shuguang & Gu, Dongxiao, 2025. "Generative AI usage among investor types: The role of personality and perceptions," Finance Research Letters, Elsevier, vol. 82(C).
    • Handle: RePEc:eee:finlet:v:82:y:2025:i:c:s1544612325008633
    DOI: 10.1016/j.frl.2025.107604
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G40 - Financial Economics - - Behavioral Finance - - - General

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