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.

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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
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article

Implementing AI Foundation Models in Asset Management: A Practical Guide

Marcos López de Prado, Francesco A. Fabozzi
The Journal of Portfolio Management
Financial Distress and Bankruptcy Prediction
article

Implementing AI Foundation Models in Asset Management: A Practical Guide

Marcos López de Prado, Francesco A. Fabozzi
article en

Abstract

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.

The Journal of Portfolio ManagementVol. 52(2)
New York University Abu Dhabi (AE), Cornell University (US), International School of Management (FR)
Openalex Percentile: Top 57%
Financial Distress and Bankruptcy Prediction
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