Agentic Artificial Intelligence in Finance: A Comprehensive Survey

Agentic Artificial Intelligence in Finance: A Comprehensive Survey

Agentic Artificial Intelligence in Finance: A Comprehensive Survey Unveils Opportunities and Challenges

Section 1 – What happened?

A comprehensive survey on agentic artificial intelligence (AI) in finance has shed light on the transformative impact of autonomous systems on financial markets. The survey, which synthesizes recent advances in agentic AI across multiple dimensions of financial operations, reveals the technology's potential to enhance market efficiency, liquidity provision, and risk management. However, it also highlights novel challenges related to market stability, regulatory compliance, interpretability, and systemic risk. The survey's findings are based on a systematic review of foundational research, technical architectures, market applications, and governance frameworks.

Section 2 – Background & Context

Agentic AI represents a significant departure from traditional algorithmic trading and generative AI, characterized by its capacity for goal-oriented autonomy, continuous learning, and multi-agent coordination. This technology has the potential to revolutionize financial markets by enabling autonomous systems to reason, plan, and make decisions with minimal human intervention. The emergence of agentic AI has sparked intense interest among scholars and practitioners, who are eager to understand its implications for financial operations and market resilience.

Section 3 – Impact on Swiss SMEs & Finance

The survey's findings have significant implications for Swiss small and medium-sized enterprises (SMEs), which are increasingly reliant on digital technologies to stay competitive. Agentic AI could provide SMEs with access to advanced risk management tools, enabling them to better navigate complex financial markets. However, the technology also introduces novel challenges related to regulatory compliance, which could pose a significant burden on SMEs. In addition, the survey's emphasis on systemic risk and market stability highlights the need for robust governance frameworks to ensure that agentic AI systems are deployed responsibly.

Section 4 – What to Watch

As agentic AI continues to transform financial markets, stakeholders should monitor developments in regulatory frameworks, technical architectures, and market applications. The Swiss Financial Market Supervisory Authority (FINMA) has already begun to explore the implications of agentic AI for financial regulation, and it is likely that other regulatory bodies will follow suit. Practitioners should also be aware of the critical research directions identified by the survey, which include ensuring the interpretability and transparency of agentic AI systems, as well as developing effective governance frameworks to mitigate systemic risk.

Source

Original Article: Agentic Artificial Intelligence in Finance: A Comprehensive Survey

Published: April 23, 2026

Author: Irene Aldridge

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Consult a licensed financial advisor before making investment decisions.