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The Automation Ahead
Content SeriesExploring the Next Frontier of Investment Automation
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?
The Automation Ahead dives into these questions, offering a comprehensive exploration of GenAI and what it heralds for the future of investment. This series breaks down the reality of GenAI’s current state, guiding you through the innovations, possibilities, and risks of this new wave of automation.
What to Expect
- Focused Insights on Key Tools: Each installment examines a specific tool driving this new era. We provide actionable guidance to help you get started, including effective techniques, strengths, and limitations — giving you a well-rounded understanding of each tool’s potential in your work.
- From Theory to Application: The series bridges the gap between concept and practice, moving beyond broad discussions to provide concrete steps for implementation. Whether automating repetitive tasks or enhancing investment insights, these articles will guide you in applying GenAI effectively.
- Collaborative Approach: We invite you to work with us in identifying and developing the most valuable use cases for GenAI in investment. Access code examples on GitHub, connect with peers on Discord, and leverage the CFA community’s collective expertise to push the industry forward.
Navigating the Future of Investment
Automation in investment is evolving beyond efficiency; it is enabling more sophisticated, intelligent workflows. The Automation Ahead provides you with the knowledge and skills to stay at the forefront of this change. Whether you are an experienced professional or new to AI, this series offers practical tools and insights to understand and apply GenAI in meaningful ways.
Introduction and Automation Framework
Understanding where automation can deliver the most value is a critical first step. This introduction and automation framework provide a foundation for developing an intuitive understanding of the technology, while identifying high-impact opportunities for GenAI-driven automation to help professionals think strategically about its applications.
Practical Guide for LLMs in the Financial Industry
This guide provides an overview of how financial professionals can select, evaluate, and deploy artificial intelligence (AI) models tailored to financial tasks, helping maximize efficiency, insight quality, and return on investment in adopting AI into their workflows.
RAG for Finance: Automating Document Analysis with LLMs
This article explores how retrieval-augmented generation (RAG) enhances investment research by enabling LLMs to analyze unstructured documents like proxy statements. Through a detailed case study, it highlights RAG’s strengths in retrieving governance and compensation data—and its limitations with nuanced reasoning and quantitative precision. The piece offers practical guidance on structuring RAG workflows, enriching metadata, and combining RAG with agents and function calling for more robust automation.
Agentic AI For Finance: Workflows, Tips, and Case Studies
This installment of The Automation Ahead explores how agentic AI is reshaping finance. It breaks down core building blocks, workflow patterns, and practical use cases — from screening and sustainability research to portfolio construction — showing how AI agents can bring more nuance, and customization to investment processes.
Enterprising Investor Podcast
Demystifying AI for Smarter Investing
CFA Institute Research and Policy Center senior investment data scientist Brian Pisaneschi, CFA, breaks down the future of AI in investing—covering retrieval-augmented generation (RAG), agentic workflows, and why human creativity remains your strongest edge. Discover how to pair large language models with accurate data to cut through noise, reduce hallucinations, and make smarter decisions. Listen now to sharpen your AI investing skills—and explore Brian’s in-depth articles on the CFA Institute Research and Policy Center website, rpc.cfainstitute.org.
Research Foundation
For broader context on how AI technologies discussed in the Automation Ahead series fit into a full investment lifecycle — including portfolio design, forecasting, and risk management — see AI in Asset Management from CFA Institute Research Foundation.