An Empirical Study on the Use of Generative AI for Financial Decision-Making Among Corporate Employees in Bengaluru (International Journal for Research in Applied Science and Engineering Technology)

Summary

• The empirical study surveyed 256 corporate employees in Bengaluru to examine how trust in generative AI shapes financial decision-making.p.2
• Out of 256 survey participants, 217 respondents (84.8%) had used a generative AI tool for a financial query or piece of advice.p.4
• Perceived transparency (β = 0.453) and perceived usefulness (β = 0.275) both significantly predicted trust, explaining 46.5% of its variance.p.2
• Perceived risk did not have a statistically significant effect on trust in generative AI financial guidance (β = 0.012, p = 0.845).p.6
• Trust displayed a positive and statistically significant relationship with financial decision-making (β = 0.112, p = 0.022).p.2
• Financial literacy did not significantly moderate the relationship between trust and financial decision-making (β = −0.026, p = 0.494).p.2

Key insights

1. Perceived transparency was the strongest predictor of employee trust in generative AI financial advice (β = 0.453, p < 0.001).p.6
2. Perceived usefulness was a significant positive predictor of trust in generative AI financial tools (β = 0.275, p < 0.001).p.6
3. Perceived risk failed to show a significant influence on user trust in generative AI guidance (β = 0.012, p = 0.845).p.6
4. Trust showed a statistically reliable but small positive link with financial decision-making (β = 0.112, t = 2.292, p = 0.022).p.6
5. Financial literacy did not alter how strongly trust relates to financial decision-making (β = −0.026, t = 0.683, p = 0.494).p.7
6. Weekly usage of generative AI for financial queries was reported by 33.6% of respondents, forming the most frequent usage pattern.p.5
7. The structural model accounted for 47.5% of the variance in trust and 61.9% of the variance in financial decision-making.p.6