This research explores how recent technological innovations, especially artificial intelligence (AI), big data, and financial technology, shape the way individuals make investment decisions. As digital tools and automated systems become central to financial markets, they have transformed how investors access information, manage portfolios, and evaluate opportunities. The study surveyed 131 investors using a structured online questionnaire to understand their views on AI features such as real-time updates, automated portfolios, data visualization, predictive insights, and compliance tools. Statistical techniques, including chi-square and regression analysis in SPSS, were used to test key hypotheses. The results show that investment preferences vary significantly with age (χ² = 25.870, p = 0.027), while gender differences are not statistically meaningful (χ² = 5.904, p = 0.551). Regression analysis revealed a strong positive link between AI-related tools and investment behavior (r = 0.670, p < 0.001), suggesting that technology explains nearly 45% of the variation in investor decisions. Overall, the findings highlight that AI-based technologies not only improve investor confidence and decision accuracy but also reveal that age plays a notable role in shaping financial preferences. The study emphasizes the growing importance of designing AI-driven investment platforms that accommodate different age groups and promote informed, inclusive financial engagement.