The Financial Stability Board (FSB) published a report advising financial authorities on how to monitor adoption of artificial intelligence (AI) in the financial sector and associated vulnerabilities. It finds that, while authorities have progressed in understanding AI use cases, monitoring remains at an early stage due to challenges such as data gaps and a lack of standardised taxonomies. To support supervisory monitoring, the report sets out a range of direct and proxy indicators to track AI adoption and related risks. It also includes a case study on the AI supply chain, focusing on potential operational and systemic vulnerabilities arising from reliance on a small number of third-party providers underpinning generative AI, including specialised hardware, cloud infrastructure, and pre-trained models; proposed indicators cover criticality, concentration, substitutability, and the systemic relevance of third-party AI service providers. The FSB encourages national authorities to enhance their monitoring approaches using the indicators in the report and plans to facilitate cross-border alignment of taxonomies and indicators through cooperation.

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