Autonomy of automated systems is increasing rapidly thanks to advances in agentic AI technology. This development impacts not just our everyday life but the economic framework and established systems in various ways, ranging from the automation of simple tasks to increasingly autonomous systems of agents interacting with minimal oversight.

This roundtable unpacks the impact such developments have on both traditional and on-chain payment systems and explores risks and opportunities emerging as adoption progresses.

A diverse group of roundtable participants representing the “full-stack” of payment system actors, including central and commercial banks, regulators, payment providers, digital asset platforms and technology providers, will discuss implications for liquidity management on both an individual and systemic level, uncover design principles for safe agent-based payment systems, and provide insights on priorities for regulatory coordination.

In this keynote address, Alexandra Baumann, incoming Swiss Ambassador to Singapore, explains why Geneva is uniquely positioned to serve as the global hub for AI governance, and why Switzerland is well placed to convene and lead this international dialogue. She outlines the vision for the Geneva AI Summit 2027 and what it means for the fintech sector.

From autonomous agents to the management of LLM and other generative AI technologies, artificial intelligence disrupts conventional understandings of data governance, particularly within financial services. This disruption is engendering new trade-offs that policymakers, regulators, and financial institutions have to grapple with, including:

• Reducing digital dependencies vs engaging the realities of a borderless market

• Preserving stability and building internal capabilities while optimising for speed and innovation

• Managing regulatory divergence without sacrificing operational coherence across markets

As AI agents become increasingly empowered to execute transactions on behalf of individuals and businesses, and institutions become increasingly reliant on models developed by a concentrated pool of Big Tech players, how can governments, financial infrastructure operators, and financial institutions balance competing objectives? This session aims to develop a set of principles for governing the use of AI and data within financial services, capturing insights from across the ecosystem.