Abstract:During early periods personal finance and investment decisions were always limited to family orfriends. But economic crises, war situations, market fluctuations etc., forced investors to havesophisticated analysis to optimize risk and returns in achieving personal goals. This havebloomed the rise of customized decisions by investment institutions and advisors. The raisingdemand, limited advisors and intricacy in approach made these processes costly and lackedbehind to provide highly personalized and professional outcomes. The search for fulfilling thegap raised the use of AI tools and AI driven robot advisors that are speed, accurate and giveshighly personalized decisions. AI is revolutionizing the process of portfolio management withthe help of machine learning algorithms, deep learning, data driven analytics and providingautomated personalized investment advices. This study uses concurrent secondary sources andpresents a comprehensive analysis of AI-driven robot advisors and their role in portfoliomanagement and personal investment decision making. The study also explores the emergingtrends in leveraging the use of this fintech, technological foundations, key features associatedwith top robo advisors and their future scenario.
Dr.A. Nooka Raju (Tue,) studied this question.
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