International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

AI-Powered Robo-Advisory: Transforming Wealth Management Through Automation and Data-Driven Insights

Author(s) Ayaan Raj
Country India
Abstract The research paper explores the growing field of robo-advisory and automated wealth management focusing on how artificial intelligence is transforming the financial advisory landscape. The aim of the study is to show how Robo advisors have evolved and changed in the past years and to explore the rise of robo-advisory and automated wealth management, focusing on how artificial intelligence, machine learning, and big data are transforming financial advisory services. The main goal is to examine the advantages, limitations, and future possibilities of robo-advisors, with special attention to their role in democratizing investment access for small and medium investors.The research process involved a detailed analysis of AI applications such as machine learning, deep learning, and natural language processing, as well as an evaluation of existing platforms and market trends. Findings suggest that robo-advisors provide clear benefits such as affordability, transparency, scalability, and accessibility making professional wealth management available to small investors so the paper concludes that robo-advisors are not replacing human advisors but redefining wealth management into a more inclusive, data-driven, and intelligent system, with significant opportunities for expansion in markets like India.
Keywords Artificial Intelligence, Robo Advisory, Automated Wealth Management, Data Driven
Field Business Administration
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-17
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.55084

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