UPDATE — SEPTEMBER 2025: Since the Financial Stability Board’s (FSB) November 2024 report on artificial intelligence in financial services, regulators worldwide have advanced its recommendations, with growing attention to systemic risk and cross-border coordination. In July 2025, the FSB presented a progress report to the G20 reaffirming its 2024 warnings on third-party dependencies, market correlations, and cyber risk. It acknowledged that data on AI adoption in finance remains incomplete and signaled that targeted global standards may be considered by 2026.
Other international institutions have echoed these concerns. At the Spring 2025 IMF–World Bank meetings, both bodies flagged AI as an emerging financial stability issue, stressing the danger of fragmented regulatory approaches. Similarly, the International Organization of Securities Commissions (IOSCO) launched a consultation in June 2025 on AI in securities markets, focusing on explainability, model risk, and vendor oversight.
Regionally, implementation steps are underway. In the European Union, the phased rollout of the EU AI Act has been paired with new guidance from the European Banking Authority (EBA) and ESMA clarifying how AI governance obligations intersect with prudential supervision. In the United States, the Federal Reserve, FDIC, and OCC issued a joint request for comment in May 2025 on AI-related risks in banking, while the Treasury’s Financial Stability Oversight Council (FSOC) explicitly cited AI as a “cross-cutting risk driver” in its 2025 annual report. The United Kingdom moved forward with a multi-year AI regulatory sandbox under the Bank of England and FCA, designed to test AI models in controlled settings. Meanwhile, the Monetary Authority of Singapore updated its FEAT (Fairness, Ethics, Accountability, Transparency) principles in August 2025 to explicitly account for generative AI in credit and anti-fraud applications.
ORIGINAL NEWS POST:
FSB Warns of AI’s Dual Potential for Finance: Opportunity and Risk
The Financial Stability Board (FSB) recently released a comprehensive report examining the growing role of artificial intelligence (AI) in financial services and its implications for global financial stability. The report highlights the transformative benefits of AI while emphasizing the associated risks, urging international cooperation and robust oversight.
The financial sector has rapidly adopted AI technologies, including generative AI and large language models. These advancements enable diverse applications such as fraud detection, customer support automation, and regulatory compliance enhancements. However, the FSB notes that AI adoption is outpacing the availability of robust data on its systemic use.
Generative AI tools, such as ChatGPT, have accelerated AI adoption across financial services. Financial institutions are leveraging AI for operations optimization, personalized client services, and advanced risk modeling. Meanwhile, financial regulators are also adopting AI tools to improve supervisory efficiency.
While AI brings operational efficiencies, the FSB warns it could amplify vulnerabilities in the financial system. Key risks include:
- Third-Party Dependencies: Increasing reliance on specialized hardware, cloud services, and pre-trained AI models concentrates risks within a few providers. Such dependency exposes financial institutions to operational disruptions.
- Market Correlations: The widespread use of shared AI models and data sources risks increasing market correlations, which could exacerbate liquidity crises and amplify market shocks.
- Cyber Threats: As AI tools become more accessible, malicious actors may exploit these technologies, heightening cybersecurity risks.
- Model Risk and Data Quality: The opaque nature of many AI models, combined with limited explainability, could increase risks for financial institutions that lack robust AI governance frameworks.
The report also highlights the long-term risks associated with generative AI, such as its potential use in financial fraud and misinformation.
The FSB emphasizes the need for global cooperation to mitigate AI-related financial risks. It recommends:
- Filling data gaps to better monitor AI adoption and its impact on financial stability.
- Evaluating whether existing regulatory frameworks adequately address AI-related vulnerabilities.
- Enhancing cross-border regulatory collaboration to share best practices and harmonize standards.
Despite the risks, the FSB recognizes AI’s transformative potential for the financial industry. Innovations such as document summarization, natural language processing, and predictive analytics promise enhanced efficiency and customer experience.
The FSB underscores that balancing the opportunities and risks of AI will require coordinated efforts among financial institutions, regulators, and technology providers. By adopting a proactive approach, the financial sector can harness AI’s benefits while safeguarding against potential disruptions.
The report concludes with a call for stronger regulatory oversight, increased transparency, and enhanced international collaboration to ensure AI contributes to a resilient and stable financial system.
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