Abstract
Artificial intelligence (AI) represents the next technological frontier in asset management. Drawing on the asset manager capitalism literature in International Political Economy (IPE) and the scholarship on machine learning (ML) in Social Studies of Finance (SSF), I propose a framework to guide research on how AI is redefining competition in the asset management sector and augmenting the power of investment management giants. This framework comprises three interrelated thematic areas: (a) the intersections of asset management and AI; (b) the intelligent technologies of asset management; and (c) the power of asset management firms in the data economy. This research agenda encourages greater collaboration between IPE and SSF scholars in exploring the emerging AI-driven power dynamics in asset management. Additionally, it enables IPE scholars to enrich interdisciplinary conversations on the political economy of AI.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
