The complete overhaul of personal finance through Artificial Intelligence (AI) technology creates two effects. The Indian digital finance market provides various tools such as robo-advisors and budgeting applications and generative chatbots, but their specific effects on young adult users (18–30) remain understudied. The current study uses a convergent mixed-method approach with 200 participants to study AI effects on saving, investing, and budgeting behavior among Indian youth. The research uses quantitative methods that include Pearson/Spearman correlation analysis and Kruskal-Wallis testing and qualitative methods that use thematic analysis to identify a "Privacy Paradox" and a model of "Calculated Trust". The artificial intelligence system provides cognitive advantages and financial benefits to users, yet it creates two major obstacles through high-risk perception and user anxiety about losing financial skills. The study concludes with targeted recommendations for Explainable AI (XAI) and algorithmic literacy. The implementation of these frameworks will create an educational system which uses AI as teaching support instead of using it as a learning tool. The development of critical engagement skills as an essential requirement for creating a technologically skilled yet financially independent generation.