AN EMPIRICAL ANALYSIS OF AI-DRIVEN FINANCIAL DECISION-MAKING AMONG GENERATION Z

This study examines the influence of artificial intelligence (AI) on financial decision-making among Generation Z, defined as individuals born between 1997 and 2012. As a digitally native cohort, Generation Z demonstrates high technological adaptability and early adoption of financial technologies. The study primarily adopts a quantitative research approach supported by existing literature to analyze usage patterns, adoption drivers, perceived benefits, risks, and trust levels associated with AI-driven financial tools.

Primary data were collected through a structured survey administered to 178 Generation Z respondents. The findings reveal widespread awareness and moderate usage of AI-based applications such as budgeting tools, investment platforms, and robo-advisors. A majority of respondents reported improvements in financial organization and decision-making efficiency. However, concerns regarding algorithmic bias, lack of transparency, inaccurate recommendations, and data privacy significantly affect trust levels.

The study highlights a growing reliance on AI in personal finance while emphasizing the importance of enhanced financial literacy, ethical AI practices, and robust regulatory frameworks to ensure responsible and sustainable adoption of AI-driven financial tools among Generation Z.