EU Banks Face Growing AI-Driven Systemic Risk

European banking regulators are intensifying warnings that widespread use of artificial intelligence across the financial sector could expose the banking system to new, systemic vulnerabilities. The chair of supervision at the central bank of the Netherlands, Steven Maijoor, stated that the increasing reliance on AI tools supplied by non-European tech firms is creating a structural threat to financial stability. He urged swift action to reduce dependence on overseas providers and called for accelerated development of cloud and AI infrastructure within Europe.

Regulators such as the European Central Bank and the European Banking Authority have over the past year emerged as key voices stressing that banks’ rapid adoption of machine-learning and generative-AI systems must be matched with robust governance, oversight and risk-management frameworks. The ECB’s latest Financial Stability Review flagged AI-related operational and cyber risks alongside legacy concerns like leverage, liquidity stress and geopolitical uncertainty. The EBA has begun mapping the region’s new Artificial Intelligence Act against banks’ existing regulatory obligations and warned that credit-scoring and other high-risk AI applications require extra monitoring, logging, and incident reporting.

Analysts point out that although many European banks welcome the efficiency gains promised by AI — from automated fraud detection and faster loan processing to algorithm-driven risk assessment — there remain serious concerns over third-party dependencies. A study issued by the Financial Stability Board underlined that concentration of AI services among a handful of global cloud providers or model vendors increases the likelihood that a failure or outage at a single firm could cascade across multiple banks. The report emphasised that systemic disruption could result from correlated failures, cyber-attacks, or supply-chain disruptions in the AI service ecosystem.

According to a recent survey by a major credit-rating firm, uptake of AI for compliance and risk functions within banks leapt from 30 per cent in 2023 to an estimated 53 per cent in 2025 — yet only a minority of users said the tools delivered significant improvements. The limited gains have raised doubts over whether the cost and complexity of integrating these systems are justified given the attendant compliance and oversight burden.

Some banking executives, speaking on condition of anonymity, say that while AI offers competitive advantage, the current regulatory environment in the EU places a heavy compliance load on institutions seeking to deploy AI systems at scale. The need to satisfy both the AI Act and existing banking regulations means banks are often forced to slow down their AI roll-outs or restrict advanced uses to internal research only.

In response to the mounting concerns, a growing number of EU lenders are calling for a push towards “AI sovereignty” — a strategy aimed at building internally developed, Europe-hosted AI infrastructure and cloud services. This approach, advocates argue, would reduce third-party concentration risk, improve data governance, and give regulators clearer oversight over algorithmic decision-making. Some mid-size banks in Germany and France have reportedly begun exploratory efforts to establish joint AI-cloud platforms as a hedge against reliance on global firms.

As regulators increase scrutiny, banks are rethinking not just whether to adopt AI, but how. The debate has shifted from “if” to “how safely and sustainably”, with risk committees, compliance officers and technology teams working to embed AI-specific controls: vendor concentration limits, fail-over plans, auditability, data-quality checks, and incident reporting protocols.