This report represents the final output of the project Strengthening the regulatory and supervisory framework and market practices for the use of artificial intelligence in the Italian financial markets. The project is funded by the European Union via the Technical Support Instrument, and implemented by the OECD, in co-operation with the European Commission Reform and Investment Task Force (SG REFORM), and in close collaboration with Banca d’Italia as the beneficial authority.
The objective of the project is to help Banca d’Italia and other Italian financial authorities identify, understand, and address the policy and supervisory implications arising from the use of AI across Italian financial markets, ultimately contributing to improved stability, resilience, and efficiency. Particular attention is given to the potential benefits stemming from the use of AI for Italian financial markets, and the related policy and supervisory measures to support safe and responsible AI deployment.
Chapter 1 provides a comprehensive mapping of the current and expected future deployment of AI applications within the Italian financial markets, as well as the broader financial sector. The chapter draws from an OECD survey of the Italian financial industry conducted in Q2 2025, covering all major market segments, and which received 450 responses.
Chapter 2 examines the approaches taken by the Italian financial authorities to monitor the deployment of AI in the domestic market, and to facilitate responsible innovation. The chapter provides information on the current supervisory measures in place and initiatives under development across Italy’s financial authorities, including Supervisory Technology (SupTech) tools.
Chapter 3 provides policy considerations related to regulatory and supervisory initiatives and measures, to facilitate wider adoption and experimentation of AI in Italian financial markets, while addressing associated risks. It is based on the results of the OECD project survey, cross-country analysis covering EU member states and select non-EU OECD countries, information obtained through project workshops and bilateral meetings, and previous OECD work on AI in finance.