Artificial Intelligence Use and Financial Behaviour among Students: Evidence from an Empirical Survey

Authors

  • Shobhit Trivedi Research Scholar, Department of Commerce and Business Administration, University of Allahabad.
  • Shafqat Ali Research Scholar, Department of Commerce, CMP Degree College, University of Allahabad.
  • Nidhi Singh Research Scholar, Department of Commerce, CMP Degree College, University of Allahabad.
  • Hariom Gupta Associate Professor, Department of Commerce and Business Administration, University of Allahabad.

DOI:

https://doi.org/10.58966/JCM2026534

Keywords:

Artificial Intelligence, Financial Literacy, Financial Behaviour, Students, Digital Learning

Abstract

Artificial Intelligence (AI) tools have become essential components of students’ academic and independent learning activities, particularly in the acquisition of financial concepts. Given that AI-generated financial information may be incomplete, inaccurate, or lack sufficient context, responsible engagement with these tools is especially critical in this field. This study examines students’ awareness and use of AI tools and analyses the associations of perceived AI value, AI trust and perceived reliability, verification behaviour, AI usage frequency, and finance-related AI use with self-reported financial behavioral outcomes. An empirical survey of 179 higher-education students was conducted, with 172 complete cases used for construct-level and regression analyses. Descriptive statistics, reliability and item-level measurement diagnostics, correlation analysis, common-method-variance screening, and multiple regression with diagnostic and robustness checks were employed. The regression model was statistically significant (R² = 0.548, adjusted R² = 0.534). Perceived AI value (β = 0.240, p < 0.001), AI trust and perceived reliability (β = 0.359, p < 0.001), verification behaviour (β = 0.184, p = 0.003), and AI usage frequency (β = 0.240, p < 0.001) were positively associated with self-reported financial behavioral outcomes, whereas finance-related AI use was not statistically significant after the other predictors were included (β = 0.114, p = 0.085). These findings suggest that the quality and criticality of students’ engagement with AI-generated financial information may be more relevant than the mere use of AI for financial topics. Because the study is cross-sectional and self-reported, the findings are interpreted as associations rather than causal effects. AI should therefore be treated as a guided learning support tool rather than a replacement for teachers, verified sources, or professional financial advice.

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Published

2026-09-22

How to Cite

Trivedi, S., Ali, S., Singh, N., & Gupta, H. (2026). Artificial Intelligence Use and Financial Behaviour among Students: Evidence from an Empirical Survey. Journal of Communication and Management, 5(03), 28–40. https://doi.org/10.58966/JCM2026534