FSI Executive Summaries |
26 June 2025
The growing use of artificial intelligence (AI) by financial institutions is attracting closer regulatory scrutiny, including from a financial stability perspective. This expansion is driven by supply side factors, such as advances in large language models (LLMs), deep learning techniques, access to more unstructured data sources and increasing computational power, as well as demand side factors such as opportunities to reduce costs and the desire to stay competitive. Against this backdrop, the Financial Stability Board (FSB) report The Financial Stability Implications of Artificial Intelligence, published in November 2024, provides of stocktake of industry and regulatory/supervisory AI use cases and identifies potential implications for financial stability.
The report identified supply and demand side factors (summarised in the diagram and table below), noting that the former currently play a bigger role due to recent technological advancements.
Financial institutions use AI mostly in enhancing internal operations and improving regulatory compliance. At present, use cases for revenue generation are limited, though firms are cautiously experimenting with generative AI (gen AI). The report adopts an activity-based framework to classify AI use cases, broken down by industry and regulatory/official sector, as follows:
The use of AI in financial services without appropriate controls and oversight could amplify certain financial vulnerabilities, with potential implications for financial stability. The key AI-related developments that could have financial stability implications include:
Financial authorities face two key challenges in evaluating the financial stability implications of AI that hinder effective vulnerability surveillance: significant uncertainty from rapid innovation and limited data on AI uptake. It is important to monitor potential financial stability implications that can arise from:
The FSB recommends the following actions to address potential financial stability implications of the use of AI in the financial sector:
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