The International Monetary Fund (IMF), has charged central banks and financial regulators to strengthen oversight of artificial intelligence (AI), warning that the rapid adoption of the technology across the financial sector could amplify systemic risks if left without adequate governance.
In a blog published recently and shared via the IMF’s official X account, the Fund said AI is rapidly transforming how financial institutions price risk, allocate credit, conduct trading and supervise markets, making it increasingly central to the global financial system.
According to the IMF, while AI has the potential to improve efficiency, liquidity, fraud detection and market surveillance, regulators must move quickly to ensure the technology strengthens, rather than undermines, financial stability.
The blog, authored by Tobias Adrian, Director of the IMF’s Monetary and Capital Markets Department, identified three immediate priorities for central banks and financial supervisors. These include strengthening oversight and governance of AI-driven trading, lending and supervisory technology; improving visibility into AI use and the risks posed by shared models and synchronized trading strategies; and deepening international cooperation on cyber resilience and operational security.
The IMF noted that AI is compressing the speed at which financial markets operate, with trading decisions, lending assessments and supervisory analytics increasingly taking place in real time. While this can improve market efficiency under normal conditions, it could also allow financial shocks to spread more rapidly during periods of stress.
The Fund noted that AI-powered investment strategies could amplify market volatility if multiple systems react simultaneously to similar market signals. It warned that future market disruptions could stem less from programming errors and more from large numbers of AI models responding in parallel to the same information.
The IMF also highlighted growing concerns over the opacity of some AI models, saying even sophisticated financial institutions may struggle to explain why certain AI-driven decisions were made during market stress. This, it said, could make it more difficult for regulators to detect emerging vulnerabilities and respond effectively.
Beyond trading and lending, the IMF said AI is becoming deeply integrated into banking operations, payment systems, exchanges and clearing houses.
However, it cautioned that heavy reliance on a small number of cloud computing, data and AI model providers could create significant concentration risks, where disruptions at a single provider could affect multiple financial institutions simultaneously.
The Fund further warned that generative AI is accelerating the sophistication of cyber threats, making phishing attacks, fraud schemes and cyber intrusions more difficult to detect and contain. It urged central banks to strengthen cyber resilience frameworks, conduct AI-focused stress exercises and invest in defensive AI technologies.
On financial supervision, the IMF observed that several central banks, including those in France, Germany, Portugal, Japan, Canada and the United States, are already deploying AI-powered supervisory technology to improve market surveillance and identify emerging risks.
However, it stressed that AI should support—not replace—human judgment in regulatory decision-making.
The IMF concluded that financial stability in an AI-driven world will depend not only on the technology itself but also on the institutions, governance frameworks and safeguards guiding its use, calling for early and coordinated policy action to prevent future financial instability from becoming faster, more interconnected and harder to manage.
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