🤖 AI Summary
This paper identifies fundamental limitations of AI in financial services: its inability to handle small-sample data, subjective probabilistic reasoning, and complex contexts requiring human ethical judgment, relational agency, and value trade-offs. Methodologically, the study introduces the EPOCH framework—systematically delineating five irreplaceable human capabilities: Empathy, Presence, Opinion, Creativity, and Hope—and formally bounds AI’s functional capacity using approximation theory. Empirical validation draws on financial case studies and occupational evolution analysis (e.g., ATM deployment’s impact on teller roles). Results demonstrate that AI does not displace financial professionals but catalyzes their transition toward higher-order, human-centric functions. The findings provide a human-capability-centered theoretical foundation and actionable guidance for regulatory design, professional education reform, and human-AI collaborative system development in finance.
📝 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.