OFIN 2F05 - AI and Finance

This course examines how artificial intelligence is transforming financial markets, with a focus on public markets, private markets, and AI as an investment theme. Adopting a practitioner-led approach, it explores how AI reshapes decision-making, risk management, governance, and value creation. The course emphasizes the distinction between value creation and value capture, the role of information scarcity, and the importance of culture, infrastructure, and leadership in AI adoption. Students will analyze concrete use cases across asset management, private equity, private credit, and AI-driven business models, and develop a structured framework to reason about AI and finance in different institutional and geographic contexts.

Basic knowledge of financial markets (public and private) is recommended. No technical background in artificial intelligence is required.

The course combines lectures, case discussions, and analytical frameworks. Sessions are designed to be interactive and discussion-oriented, drawing on real-world examples from financial institutions, technology firms, and global markets. The emphasis is on reasoning, judgment, and structure rather than technical implementation of AI models.

The course is validated through a final in-class quiz assessing conceptual understanding, analytical reasoning, and the ability to apply course frameworks to real financial market situations.

Students are expected to attend all sessions and complete the required readings. No additional written assignment is required. Preparation focuses on understanding frameworks, cases, and concepts discussed in class.