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Structural equation modeling study uncovers selective ChatGPT adoption across investment tasks in French stock investors, indicating financial literacy moderates reliance on artificial intelligence.
This study investigates the use of ChatGPT across different investment tasks in the French stock market. Based on a PLE-SEM approach, the findings indicate that investors primarily use these tools for data analysis, risk management, and sentiment analysis, leveraging their ability to process complex information, identify potential risks, and assess market sentiment effectively. The results also reveal that investors moderately rely on ChatGPT to optimize portfolios and forecast market trends, reflecting an awareness that AI-based tools may not fully capture the complexity and inherent unpredictability of financial markets. Moreover, the findings highlight the nuanced moderating role of financial literacy in shaping investors' use of AI-driven insights.
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Bacha et al. (2026) studied this question.
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