Implementing AI Foundation Models in Asset Management: A Practical Guide
This article provides a practical, educational overview of how asset management firms can integrate large language models (LLMs), including foundation models, into research, operations, and client-facing workflows. While avoiding technical exposition, the discussion focuses on implementation strategies, prompt literacy, policy development, and cross-functional coordination. By grounding the narrative in asset management contexts, the article aims to guide professionals and educators seeking to incorporate LLMs responsibly and effectively across investment processes.
Authors
- Marcos López de Prado (ORCID: https://orcid.org/0000-0002-4107-3797)
- Francesco A. Fabozzi (ORCID: https://orcid.org/0000-0001-6657-1875)
Institutions
- New York University Abu Dhabi (AE)
- Cornell University (US)
- International School of Management (FR)
Publication Details
- Journal
- The Journal of Portfolio Management
- Published
- 2025-10-16
- DOI
- https://doi.org/10.3905/jpm.2025.1.778
- Primary Topic
- Financial Distress and Bankruptcy Prediction
- Type
- article
- Field-Weighted Citation Impact
- 0.00