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.

中文翻译：

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生成式 AI 在投资者类型中的使用：个性和看法的作用

本研究调查了影响 315 名投资者使用生成式 AI 频率的因素，这些投资者分为三组：纯股票、纯加密和多元化。通过调查和回归分析，我们探讨了投资类型、性格特征和对 AI 的看法如何影响采用率。结果显示，多元化投资者最频繁地使用 AI。自恋和感知性能可以显着预测 AI 的使用，而感知的易用性并不起重要作用。这些发现强调了投资者多样性和个性在 AI 参与中的相互作用，表明需要为投资者量身定制的 AI 工具。