Abstract

The development of software agents that can autonomously take actions to achieve goals has been a long-standing foundational objective in the field of AI. Recent advances in generative AI have given rise to a new class of agents. These advances have opened up the possibility of developing agents that can augment knowledge work in finance that primarily involves the cognitive processing of information by skilled humans. In this article, we bring these fields together. We break down the specific challenges in knowledge work in finance, review the current literature on generative AI agents, and identify potential directions for research and development that would help realize the potential of generative AI agents in finance. We conclude by proposing a framework to delineate the levels of autonomy for AI agents in the context of knowledge work, and an architecture for human–AI collaboration that can pave the path for progressively increasing the autonomy of agents.

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