The AI Evolution in Capital Markets
This whitepaper traces the evolution of AI in capital markets, from basic automation to intelligence, examines high-impact use cases across the value chain, highlights global adoption patterns, and explores the infrastructure and organizational shifts required to capture long-term value.
The story of AI in capital markets can be understood as a journey:
- Rule-based automation - Reducing manual effort in repetitive tasks.
- Predictive analytics - Using data-driven insights to forecast and optimize.
- AI-first intelligence - Adaptive systems that augment human judgment and respond in real-time.
This evolution reflects both advances in technology and the growing sophistication of financial institutions. In this paper we discuss each phase, the use cases driving adoption, the challenges of modernization, and what lies ahead. .
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