Exploring the Role of AI-Powered Financial Wellness Programs in Enhancing Employee Well-Being and Reducing Financial Stress

Abstract

This study aims to find the impact of AI-based financial wellness programs on the financial stress, financial literacy, job satisfaction, and productivity of employees. Data were collected using a set of questionnaires returned by employees who use AI-based financial tools to analyze data using descriptive statistics, correlation analysis, regression analysis, and independent t-tests. The outcomes for the three dependent variables support the notion that more frequent use and personalization of AI tools significantly reduce financial stress (t = -6.35, p < 0.01), improve financial literacy (r = 0.592, p < 0.01), as well as increase job satisfaction and productivity (r = 0.564 and r = 0.478, p < 0.01). Moreover, the multiple regression revealed that both frequency of usage of AI tools and personalization were excellent predictors of reduced financial stress (B = -0.221, p = 0.005; B = -0.324, p = 0.000). Thus, all four hypotheses are supported to demonstrate that AI tools help reduce the stress related to finances and improve work-related outcomes as well as the financial well-being of the employees. The findings here suggest that only customized AI programs are effective in detailing financial issues and have the potential for scaling their implementations within workplaces as well as cost-efficient solutions to improve overall employee welfare. However, privacy concerns and a lack of human empathy in AI interaction necessitate further redressal. Long-term implications of AI financial wellness programs should be probed in future studies with examination of how human financial counseling is integrated with AI for the benefit of more holistic employee support.