IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v107y2025ics1057521925006866.html
   My bibliography  Save this article

Artificial intelligence and investment management: Structure, strategy, and governance

Author

Listed:
  • Mertzanis, Charilaos

Abstract

Artificial intelligence (AI) is transforming investment management by enabling data-driven decision-making across portfolio optimization, forecasting, risk assessment, advisory services, and regulatory compliance. Despite growing interest, much of the existing research remains fragmented, focusing narrowly on specific techniques or domains. This study addresses that gap through a comprehensive and systematic literature review of 178 peer-reviewed studies indexed in Scopus, covering the structure, strategy, and governance of AI applications in investment management. Adopting established review protocols and integrating thematic and visual analysis, the review categorizes the literature into six grand themes: AI-driven portfolio management and optimization; AI in financial forecasting and market prediction; AI-powered robo-advisory and personalized financial services; AI for risk management, fraud detection, and regulatory compliance; AI and strategic investment decision-making; and enablers and constraints in AI adoption. Findings reveal that AI is not just enhancing operational efficiency but also reconfiguring strategic and institutional practices. The review identifies key research gaps related to explainability, adoption barriers, and ethical concerns, and offers an integrated framework to guide future research, policy design, and industry adoption. By synthesizing a diverse body of work, this study advances our understanding of how AI is reshaping the architecture and dynamics of modern investment management.

Suggested Citation

  • Mertzanis, Charilaos, 2025. "Artificial intelligence and investment management: Structure, strategy, and governance," International Review of Financial Analysis, Elsevier, vol. 107(C).
  • Handle: RePEc:eee:finana:v:107:y:2025:i:c:s1057521925006866
    DOI: 10.1016/j.irfa.2025.104599
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521925006866
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2025.104599?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finana:v:107:y:2025:i:c:s1057521925006866. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620166 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.