The session is divided into two parts, each addressing a distinct aspect of AI’s impact on the financial services sector, with a focus on the application of AI in Switzerland.

Part I explores recent trends in the sector, particularly the transformative potential of Large Language Models (LLMs) and Agentic AI Systems. These advancements present both opportunities and challenges, prompting a rethinking of operations and job profiles within banks. This part will shed light on critical questions related to the AI-driven transformation: What technologies are necessary? What new skills and roles will be needed? Which existing roles may decline in relevance? And what are the most impactful use cases shaping the future of banking operations?

Part II highlights selected, forward-looking AI use cases across specific sub-domains, ranging from real estate energy efficiency to AI-enabled climate and nature impact assessments. These examples demonstrate how AI can contribute to solving domain-specific challenges in the financial service sector. One example is the geospatial AI foundation model “TerraMind” developed by the FAST-EO consortium.

Overall, Part I aims to clarify where and how AI is set to reshape the financial services industry, while Part II offers a glimpse into cutting-edge applications that are actively driving this transformation.