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.
| Original language | English |
|---|---|
| Journal | Review of International Political Economy |
| DOIs | |
| Publication status | E-pub ahead of print - 5 Dec 2024 |
Keywords
- Artificial intelligence (AI)
- asset management
- Critical Data Studies (CDS)
- financial technology (fintech)
- Information Systems (IS)
- International Political Economy (IPE)
- machine learning (ML)
- Social Studies of Finance (SSF)
Research Beacons, Institutes and Platforms
- Global inequalities
- Digital Futures
