sayzardAgentic Artificial Intelligence in Finance
이 논문은 금융 분야에서 자율적 의사결정과 계획 능력을 갖춘 에이전트형 AI의 최근 발전을 종합적으로 조사한다. 전통적 알고리즘 트레이딩과 생성형 AI와 달리 목표 지향적 자율성, 지속 학습, 다중 에이전트 협업 능력을 갖춘 에이전트형 AI가 금융 시장의 효율성, 유동성, 리스크 관리에 미치는 긍정적 영향과 함께 시장 안정성, 규제 준수, 해석 가능성, 시스템 리스크 등 새로운 도전 과제를 분석한다. 금융 운영, 시장 적용, 규제 프레임워크, 시스템적 영향 등 다양한 측면에서 에이전트형 AI가 금융 생태계를 어떻게 변화시키는지 체계적으로 정리하며, 향후 연구 방향도 제시한다.
https://arxiv.org/abs/2604.21672
#agenticai #finance #autonomoussystems #marketefficiency #riskmanagement
Agentic Artificial Intelligence in Finance: A Comprehensive Survey
The emergence of agentic artificial intelligence (AI) represents a fundamental transformation in financial markets, characterized by autonomous systems capable of reasoning, planning, and adaptive decision-making with minimal human intervention. This comprehensive survey synthesizes recent advances in agentic AI across multiple dimensions of financial operations, including system architecture, market applications, regulatory frameworks, and systemic implications. We examine how agentic AI differs from traditional algorithmic trading and generative AI through its capacity for goal-oriented autonomy, continuous learning, and multi-agent coordination. Our analysis shows that while agentic AI offers substantial potential for enhanced market efficiency, liquidity provision, and risk management, it also introduces novel challenges related to market stability, regulatory compliance, interpretability, and systemic risk. Through a systematic review of foundational research, technical architectures, market applications, and governance frameworks, this survey provides scholars and practitioners with a structured understanding of how agentic AI is reshaping financial markets and identifies critical research directions for ensuring that these systems enhance both operational efficiency and market resilience.
Did You Know
PPC Land
Strategy Apex