Keywords
AI, AI readiness, financial decisions, personal finance, socio-demographic features
Abstract
This study investigates the socio-demographic factors associated with readiness to use AI-driven tools in financial decision-making. It uses data from a representative survey of Poles and conceptualises an AI readiness index. It then estimates the relationships between socio-demographic characteristics and this index using an ordinary least squares (OLS) regression model. Additionally, robustness checks are conducted with heteroskedasticityrobust standard errors and multiple imputation. The OLS results were supplemented by one-way Analysis of Variance (ANOVA) with Tukey’s Honestly Significant Difference (HSD) post hoc tests to identify groups’ differences. The results demonstrate that gender, age, education, and income are significantly associated with consumers’ readiness to use AI-based financial tools, while place of residence is not. Males, young people, highly educated individuals, and higher-income groups exhibit significantly greater AI readiness. Age is negatively associated with AI readiness, revealing generational differences, whereas income shows that readiness increases markedly among upper-middle and high-income groups. Education effects are driven mainly by low readiness among respondents with vocational education. The findings demonstrate that socio-demographic characteristics remain important drivers of consumers’ readiness to use AI-enabled tools for personal financial decision-making.
Acknowledgments
Funding
The research for this study was funded by the grant: IDUB Debiuty, edycja 7 Artificial Intelligence (AI) in personal finance management – perception, attitudes, actual use, „Inicjatywa Doskonałości – Uczelnia Badawcza” obtained by Michał Buszko
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of the article.
Declaration about the scope of AI utilisation
The authors did not use an AI tool in the preparation of the article.
Recommended Citation
Buszko, M., & Szopiński, T. (2026). Socio-Demographic Correlates of Consumers’ Readiness to Use AI in Financial Decision-Making. Journal of Banking and Financial Economics, 2026(1), 34-49. https://doi.org/10.7172/2353-6845.jbfe.2026.1.3
First Page
34
Last Page
49
Page Count
16
Received Date
26.01.2026
Revised Date
24.04.2026
Accept Date
08.06.2026
Online Available Date
06.07.2026
DOI
10.7172/2353-6845.jbfe.2026.1.3
JEL Code
D14, G41, D81, O33
Publisher
University of Warsaw
