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AI in Finance

Guiding the Investment Profession Through the AI Transition Browse all AI Content

Artificial intelligence (AI) is transforming finance. As firms embed AI into research, trading, portfolio construction, and risk management, capital markets are entering a period of structural change that will reshape how information is processed, capital is allocated, risks are managed, and accountability is assigned.

As markets process larger volumes of structured and unstructured data faster, AI may reduce traditional informational advantages, alter price discovery dynamics, and shift investment skill toward model design, data governance, system oversight, and sound judgment.

At a Glance

AI is reshaping market structure: changing information processing, price discovery, capital allocation, and risk management.
Investment skills are evolving: edge may depend more on judgment, governance, data quality, and system design.
Shared models create systemic risks: overlapping tools and data could tighten correlations and amplify market stress.
Governance is urgent: firms and regulators must strengthen oversight, accountability, model validation, and professional standards before AI-driven practices harden.

Research Report

Artificial Intelligence and the Future of Finance: A Framework for Structural Change

By Mona Naqvi

This report addresses how artificial intelligence could reshape finance by changing how investors process information, allocate capital, manage risk, define professional skill, and preserve accountability in an increasingly automated system.

Research Report

Managing LLM Bias in Investing: From Detection to Mitigation

By James Tait and Brian Pisaneschi, CFA

This report explores how human and large language model (LLM) biases enter investment workflows and how investment practitioners can detect, measure, and mitigate this phenomenon through prompt engineering, guardrails, comparative testing, and human oversight.

Research Report

The Algorithmic Market Hypothesis: Information Efficiency in the Age of AI

By Joe Simonian, PhD

This report examines the transformation of financial markets as trading shifts from human-driven to algorithmically dominated activity, with particular focus on LLMs as a distinct and increasingly influential category of market participant.

Research

AI in Asset Management

Edited by Joseph Simonian, PhD

Artificial intelligence is transforming how investment professionals analyze markets, build portfolios, and manage risk. AI in Asset Management: Tools, Applications, and Frontiers explores how AI and machine learning are redefining every aspect of the investment process. The book brings together global experts advancing applied finance through intelligent systems and data-driven models.

Research

The Automation Ahead Series

By Brian Pisaneschi, CFA

The investment industry has long embraced automation, but the rise of generative AI (GenAI) has ushered in a new era that raises more questions than ever. Many professionals find themselves asking: What makes this different? Will GenAI replace traditional roles, or enhance them? What can it truly achieve, and where does it fall short?