Agentic Artificial Intelligence in Finance (arxiv.org)

A comprehensive new survey titled "Agentic Artificial Intelligence in Finance" explores the significant rise of autonomous AI systems within financial markets. Unlike traditional algorithmic trading, agentic AI is capable of goal-oriented autonomy, continuous learning, and multi-agent coordination, enabling it to engage in reasoning and planning with minimal human oversight. The study synthesizes recent advancements in areas such as system architecture, market applications, and regulatory frameworks, highlighting the transformative potential of these technologies in enhancing market efficiency and risk management. However, the introduction of agentic AI also raises critical concerns, including market stability, regulatory compliance, and systemic risk. The survey noted that as these autonomous systems proliferate, they could complicate existing market dynamics, potentially leading to unforeseen consequences. By providing a structured review of foundational research and governance frameworks, the survey aims to guide future research and practices that can maximize the benefits of agentic AI while addressing the challenges it poses to operational integrity and financial resilience.