Advancement of financial technology has resulted in the emergence of automated investment solutions, such as robo-advisors. While Gen-Z investors are typically receptive to digital innovations, their adoption of robo-advisory services remains an underexplored area. This study investigates the primary factors affecting Gen-Z’s inclination to use robo-advisors, applying the Technology Acceptance Model (TAM). A quantitative methodology was utilized, with data collected from 161 respondents and analyzed through multiple regression techniques. Findings indicate that trust and attitude have a significant impact on the adoption intent of robo-advisory services in investment decisions made by Gen-Z investors. The results suggest that fostering trust and shaping positive perceptions of robo-advisors are more crucial for adoption than enhancing usability. This study contributes to fintech literature and offers insights for financial institutions and policymakers aiming to increase robo-advisory adoption among young investors.