The Limits of AI in Financial Services

TL;DR

AI-enabled financial services face disruption, but the paper reframes labor market impact by asking what capabilities AI cannot substitute. It adopts the EPOCH framework to argue that universal approximators are limited when data are scarce, probabilities are subjective, or outcomes depend on human judgment and ethics. Using an ATM analogy, it shows technology tends to reconfigure roles, elevating complementary, human-centric tasks rather than eliminating employment. The analysis catalogs AI benefits in liquidity provisioning, risk management, robo-advisory, trading efficiency, and regulatory compliance, while stressing that trust, inclusion, and consumer experience hinge on ongoing human engagement. Practically, the work calls for a transition path where professionals leverage AI strengths while safeguarding core human capabilities.

Abstract

AI is transforming industries, raising concerns about job displacement and decision making reliability. AI, as a universal approximation function, excels in data driven tasks but struggles with small datasets, subjective probabilities, and contexts requiring human judgment, relationships, and ethics.The EPOCH framework highlights five irreplaceable human capabilities: Empathy, Presence, Opinion, Creativity, and Hope. These attributes are vital in financial services for trust, inclusion, innovation, and consumer experience. Although AI improves efficiency in risk management and compliance, it will not eliminate jobs but redefine them, similar to how ATMs reshaped bank tellers' roles. The challenge is ensuring professionals adapt, leveraging AI's strengths while preserving essential human capabilities.