Speakers
Objectives
This session will explore how artificial intelligence (AI) is being used in the financial sector, the value it is creating today, and its potential to transform business models, customer relationships, and market dynamics in the short to medium term. The discussion will consider current and emerging use cases across different parts of the financial value chain, including the role of new forms of AI such as generative and agentic AI in broadening applications and accessibility. It will assess how adoption is evolving in Europe and globally, and examine the opportunities and limitations AI presents for financial institutions, customers, and supervisors. It will also consider the conditions needed for AI to deliver its full potential in finance, and the factors that may limit its value creation.
Points of discussion
- AI use cases and trends in the financial sector: How is AI use evolving in the financial sector, both in Europe and globally, and which use cases are delivering the most impact today?
- What new applications are likely to emerge in the short to medium term, and what lessons can be drawn from applications in different sectors of finance and for supervision and cyber-resilience?
- AI impacts, opportunities and limitations in the financial sector: To what extent will AI transform the way financial services are delivered and consumed, and could new forms of AI such as generative and agentic AI drive deeper change across the sector?
- What value is AI creating for financial institutions and customers, and what new opportunities could these technologies enable?
- Are there limitations to the value AI can bring in finance or to the realisation of the opportunities offered by AI in this sector?