Model Concentration

Model concentration refers to the market or technical dominance of a small number of AI systems or providers, such as when a few large language models power most enterprise applications. This creates governance risks because widespread reliance on concentrated systems means that a single vendor's outage, security breach, or change in service terms can affect compliance posture across an entire organization. Concentration also limits competitive pressure to invest in safety, transparency, and responsible AI practices, making it harder for enterprises to enforce governance standards through vendor choice and negotiation.

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ResearchEU2026-10-05

ESRB Warns AI Model Concentration Could Amplify Systemic Bank Shocks

The European Systemic Risk Board's Advisory Scientific Committee has warned that widespread reliance on similar AI models across European banks could cause correlated failures and amplify market shocks. The warning names model concentration as an emerging systemic risk requiring active monitoring. Banks are advised to map AI dependencies, run scenario tests, and build escalation paths for shared critical AI providers.

financial services systemic risk model concentration ESRB EU DORA model risk management cyber resilience