Financial Stability Board Chair Andrew Bailey has warned that the impact of AI on cyber risk is now the most immediate AI-related concern for the global financial system. In a letter to G20 finance ministers and central bank governors, Bailey said advanced AI could change the speed, scale and economics of cyberattacks, while many countries still lack systems capable of managing increasingly powerful AI models.
The warning comes as banks and financial institutions become more dependent on AI and a small group of major technology providers. Bailey said that concentration could itself become a source of systemic risk if a major provider suffers a disruption or security breach. Regulators are also concerned that AI could identify cyber vulnerabilities faster than financial institutions can patch them, putting pressure on testing, recovery and operational resilience.
The head of the Financial Stability Board is now warning that frontier AI cyber capabilities rea a threat to global financial stability. Fair. But even the most fascinating evidence does not become material by dropping increasingly dramatic scenarios: AI gets better at cyber →… pic.twitter.com/eu1OPCgetb
— Lukasz Olejnik (@lukOlejnik) August 31, 2026
AI has already changed financial markets and sometimes caused chaos
Automated trading has been shaping markets for years, and the 2010 US Flash Crash remains one of the clearest examples of what can happen when automated systems interact in unexpected ways. The Dow Jones fell almost 1,000 points in minutes, before recovering much of the loss shortly afterwards. Researchers have since linked the episode to feedback loops between algorithmic trading systems.
Today’s technology is considerably more capable as financial institutions now use AI for trading, fraud detection, credit decisions, risk management and customer services, while 65% of financial-services institutions reported actively deploying or using AI in 2026. The difference today is that newer AI systems can analyse information, generate code and take actions with far less human intervention. Financial firms are already using AI for trading, fraud detection, risk management and other market functions, giving the technology a much broader role than earlier automated systems.
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That raises concerns because markets have already shown how quickly automated systems can amplify problems. Today’s AI systems are more capable and are being deployed across more parts of finance. If several institutions use similar models or depend on the same technology providers, a problem could spread between them before humans have time to understand what is happening or intervene.
Could AI make a market sell-off spread faster?
The financial system is already highly automated. Trading firms, banks, asset managers and exchanges use algorithms to make decisions and move money, so a disruption at one point can quickly affect others.
Bailey earlier warned that AI-related stocks are highly valued and that leverage in equity markets is rising. If an AI failure or cyberattack triggered a sudden loss of confidence, investors could start selling technology stocks and other risky assets at the same time, putting pressure on collateral and liquidity.
The impact would be different from a normal technology failure. The problem would not necessarily be the AI system itself bringing down a bank. It could be the chain reaction in financial markets afterwards, as automated systems, leveraged investors and institutions respond to the same shock at almost the same time.
Meanwhile, the FSB identified data privacy as one of the biggest legal obstacles to effective cross-border regulation of cryptocurrencies, including Bitcoin and stablecoins.
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