Daniel Adam Siwecki works at the European Central Bank, focusing on the analysis of artificial intelligence and machine learning adoption across the euro area banking sector. His work examines the implications of AI for financial intermediation, including applications in credit scoring, fraud detection, and emerging generative AI use cases. He has contributed to ECB publications on AI in banking, including analysis of new applications in credit scoring and fraud detection.
He engages in international policy discussions on technological change and AI through participation in the 2025 G7 Central Banks’ Digitalisation Working Group, focusing on the implications of AI for financial stability and productivity, and is involved in ECB industry-facing initiatives on digitalisation in banking.
Daniel holds a PhD in Economics from the University of Glasgow. His research focuses on the macroeconomic and market implications of technological change, with particular emphasis on how advances in artificial intelligence reshape productivity dynamics, market structure, and the transmission of economic shocks. He is particularly interested in the implications of these transformations for financial stability and the evolution of modern financial systems.
