• The Bank of England says AI is creating growing threats to financial stability through cyber risk and market concentration
• Heavy investor optimism around AI companies has increased concerns over stretched valuations and leverage
• The Bank warns advanced AI could enable faster and more sophisticated cyber attacks against financial institutions
• Private credit, sovereign debt and elevated asset prices remain key vulnerabilities alongside AI risks
• Global bank risk teams are expected to strengthen AI governance, cyber resilience and scenario testing in response

Artificial intelligence is rapidly becoming one of the most significant sources of financial stability risk facing the global banking sector, according to the Bank of England.

The bank has warned that growing investor optimism, rising leverage and increasingly sophisticated cyber threats could expose financial institutions to new forms of systemic shock.

In its latest Financial Stability Report, the central bank said the UK financial system remains resilient, even after the recent macroeconomic disruption associated with conflict in the Middle East.

However, policymakers cautioned that vulnerabilities have continued to build across global financial markets, particularly around heavy investment in AI-related companies and infrastructure.

The Bank said previous concerns over elevated asset valuations, high sovereign debt burdens and the expansion of private credit remain firmly in place.

It added that enthusiasm surrounding AI has intensified those risks as investors continue to channel large amounts of capital into a relatively small group of technology companies while relying increasingly on leverage to enhance returns.

For chief risk officers, the report represents another reminder that AI is no longer simply a technology issue. It is becoming a strategic enterprise risk that cuts across market risk, operational resilience, cybersecurity and third-party dependency.

The Financial Policy Committee warned that advanced AI systems are also increasing cyber risks.

As AI models become more capable of identifying software vulnerabilities, malicious actors may be able to discover and exploit weaknesses in banking systems more rapidly than institutions can respond.

That raises the prospect of faster-moving cyber incidents affecting multiple firms simultaneously, particularly where banks rely on common technology providers.

Sarah Breeden, the Bank's Deputy Governor for Financial Stability, has previously argued that increasingly autonomous AI systems could ultimately require bespoke regulatory frameworks as their capabilities evolve beyond those anticipated by existing financial regulations.

Recent comments from the Bank suggest that supervisors are moving away from the assumption that current regulatory frameworks alone will remain sufficient to oversee the technology safely.

The Bank also highlighted growing leverage within equity markets, noting that a sharp correction in highly valued AI-related stocks could amplify market volatility through hedge funds and other leveraged investors.

Such an event could spill over into broader financial markets if forced asset sales trigger wider declines in government bond or credit markets.

Despite these concerns, policymakers stressed that the UK banking system remains well capitalized and capable of supporting households and businesses even during periods of stress.

Alongside the stability assessment, the Bank announced plans to review elements of its leverage framework to ensure capital requirements remain proportionate while continuing to support lending to the real economy.

The report is expected to influence risk management priorities well beyond the United Kingdom.

Many international banks have already accelerated investment in AI governance, cyber resilience and third-party oversight as regulators increasingly focus on concentration risk arising from dependence on a small number of cloud providers and AI vendors.

The Bank's concerns also align with warnings issued recently by the Bank for International Settlements and other supervisory authorities that rapid AI adoption may create new forms of interconnectedness across financial markets.

While AI offers significant opportunities to improve productivity, customer service and risk management, it may also encourage institutions to rely on similar models and data sources, increasing the potential for correlated behavior during periods of market stress.

The latest Financial Stability Report underlines the fact that AI should not be viewed solely as a source of operational efficiency, but rather that it is increasingly becoming a strategic risk requiring board-level oversight, stronger governance and continuous scenario analysis.