Speakers
Objectives
Objectives
This session will assess how AI is being deployed across the EU financial sector, the value it is generating and the risks emerging as adoption scales, including potential systemic implications and third-party dependencies. It will examine whether AI is delivering meaningful transformation in financial services and whether the current EU regulatory and supervisory framework provides adequate conditions to support its responsible large-scale deployment. The discussion will also consider whether additional policy or operational measures are needed to address emerging risks, ensure appropriate safeguards and maintain international consistency as AI adoption accelerates.
Points of discussion
- AI adoption trends, opportunities and challenges
How advanced is the deployment of AI across the EU financial sector, and is its progress aligned with Europe’s digital and competitiveness ambitions? To what extent is AI delivering tangible value and transformative change, and are limitations or intrinsic risks becoming more apparent as adoption scales? As AI becomes more embedded in core financial services, what structural vulnerabilities, including third-party dependencies and concentration risks, could emerge? - Enabling large-scale AI deployment: policy and operational responses
Does the current EU regulatory and supervisory framework, including the AI Act and relevant data legislation, provide sufficient clarity, proportionality and flexibility to support responsible large-scale AI deployment in finance? Will the proposed Digital Omnibus contribute to improving the conditions for scaling AI in the sector? Are additional policy measures needed to ensure adequate operational conditions and mitigate emerging dependency and systemic risks? How does the EU approach compare internationally, and is greater coordination required to avoid fragmentation?