Stock Markets June 29, 2026 07:41 AM

JPMorgan Warns AI-Driven Cyberattacks Could Trigger a Bank Liquidity Crisis

Bank strategist urges focus on resilience testing and deposit-run scenarios as AI compresses time to exploit vulnerabilities

By Hana Yamamoto
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JPMorgan analysts caution that advances in frontier AI models are accelerating the discovery of zero-day vulnerabilities, shrinking the time banks have to patch systems and raising the prospect of a cyber-driven liquidity crisis that could outpace traditional credit risks. The bank calls for infrastructure resilience testing and deposit-run liquidity haircut stress tests, and flags European banks as more exposed than U.S. peers.

JPMorgan Warns AI-Driven Cyberattacks Could Trigger a Bank Liquidity Crisis
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Key Points

  • Frontier AI models like Mythos and GPT-5.5 are shortening the time to find zero-day vulnerabilities, reducing the window banks have to patch systems - impacts banking operations and cybersecurity teams.
  • JPMorgan recommends infrastructure resilience testing and deposit-run liquidity haircut stress tests rather than relying solely on capital metrics - impacts regulators and risk management frameworks.
  • U.S. banks are considered better positioned due to higher technology spending and earlier AI access, while European banks face greater vulnerability because of lower tech budgets and delayed access; tech costs averaged about 17% of global bank operating expenses in 2025 - impacts regional banking sectors and investors.

JPMorgan has flagged cybersecurity as a major, underpriced risk for banks, saying that AI-enabled attacks could precipitate a liquidity crisis that is more dangerous than a conventional credit event. In a note authored by analyst Kian Abouhossein, the bank highlighted how new frontier AI models can dramatically shorten the timeframe for identifying previously unknown vulnerabilities.

Specifically, Abouhossein pointed to models such as Mythos and GPT-5.5, which he says can reduce the timeline for discovering zero-day vulnerabilities from months or years to mere hours. That compression of discovery time narrows the window banks have to identify and patch exposed systems, increasing operational and liquidity risk.

JPMorgan argued that current supervisory and investor attention is focused on capital metrics that may not capture this form of cyber risk. The note recommends shifting emphasis away from the capital framework as the primary lens for cybersecurity risk, and instead calls for more robust infrastructure resilience testing. It also proposes running deposit-run liquidity haircut stress tests to better capture the types of sudden outflows that could accompany a cyber-driven event.

The bank warned that social media could act as an accelerant in such a scenario, producing "unprecedented volatility in deposit flows" and amplifying a run on funds. JPMorgan referenced Credit Suisse as a precedent for how swift deposit shifts can compound a crisis.

On a regional basis, Abouhossein identified U.S. banks as relatively better positioned to withstand these pressures, citing higher absolute technology spending and earlier access to frontier AI models. By contrast, European banks were described as more vulnerable because they generally operate with smaller technology budgets and may face delayed access to the latest AI developments. JPMorgan noted that tech costs averaged approximately 17% of global bank operating expenses in 2025.

Given these dynamics, the bank suggested that investors assign a higher valuation multiple to institutions with sticky, excess deposit bases, which would be better placed to weather a liquidity shock. It also argued that a premium for U.S. global systemically important banks over European and Japanese counterparts could be defensible if the market prices in a lower cost of equity tied to stronger cyber risk preparedness.

The note underscores a call for changing how cyber risk is measured and stress-tested across the industry, while highlighting regional disparities in preparedness and technology investment.

Risks

  • Rapid AI-enabled discovery of zero-day vulnerabilities compresses patching windows and raises operational and liquidity risk - affects banking operations and payment systems.
  • Social media-driven amplification could trigger swift deposit outflows, creating unprecedented volatility in deposit flows and potential runs - affects deposit-taking institutions and financial market stability.
  • European banks may be more exposed due to lower technology spending and delayed access to frontier AI, increasing their vulnerability to cyber events relative to U.S. peers - affects European banking sector and cross-border financial stability.

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