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Amit Mishra, Vibhuti Tripathi: From Mobile Trading to Intelligent Investing:
                                          A Bibliometric  and Thematic Review of AI-Driven Financial Investments


                    options for young investors, first-time investors, and people from semi-urban and rural
                    areas By increasing retail participants' access to financial instruments and investment
                    expertise,  the  incorporation  of  AI  into  financial  services  can  help  democratize
                    investing. However, unskilled investors may also become financially vulnerable due
                    to  overreliance  on  AI-generated  suggestions,  overtrading,  algorithmic  bias,  false
                    information, and a lack of financial literacy.

                    The review's overall conclusions indicate that the field of AI-enabled mobile stock
                    trading  applications  is  still  developing  and  has  significant  chances  for  further
                    theoretical and empirical development. Globally, retail investing may change as a
                    result of the growing integration of AI into mobile investing platforms. However,
                    balanced growth in this area calls for more robust regulatory frameworks, increased
                    investor awareness, ethical AI governance, and in-depth empirical research on post-
                    adoption investment behaviour and long-term investor outcomes.

                    CREDIT AUTHOR STATEMENT
                    Amit  &  Vibhuti  has  contributed  to  conceptualization  and  data  analysis.  Amit  &
                    Vibhuti was responsible for conceptualization and writing the original draft. Amit &
                    Vibhuti  handled  the  research  methodology.  Amit  &  Vibhuti  contributed  through
                    literature search and writing – review and editing. Amit & Vibhuti was responsible
                    for preparing tables, graphs, bibliometric maps, and draft refinement.
                    • FUNDING: This research did not receive any specific grant from funding agencies.
                     • DECLARATION OF COMPETING INTEREST: The authors declare no conflict
                    of  interest.  •  ACKNOWLEDGMENTS:  The  authors  gratefully  acknowledge  their
                    institution for providing the support and a conducive environment necessary to carry
                    out this research.

                    REFERENCES
                    Adrianto,  F.,  &  Hamidi,  M.  (2020).  ANALYSIS  OF  RETAIL  INVESTMENT
                    BEHAVIOUR IN INDONESIAN STOCK MARKET. Academy of Accounting and
                    Financial Studies Journal, 24, 1–13.
                    https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=.+%5BANALYSIS+
                    OF+RETAIL+INVESTMENT+BEHAVIOUR+IN+INDONESIAN+STOCK+MAR
                    KET%5D&btnG=.

                    Ahmad, U., Van Keulen, M., Briassouli, A., & Saad, M. (2025). Cognitive biases,
                    Robo advisor and investment decision psychology: An investor’s perspective from
                    New York stock exchange. Acta Psychologica, 256.
                    https://doi.org/10.1016/j.actpsy.2025.105048

                    Ahuja, P., Gupta, M., Jain, J., Sood, K., & Vardari, L. (2025). HR Analytics Research



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