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FRM Part II · FRM Exam Part II · The Financial Stability Implications of Artificial Intelligence

Many banks and asset managers adopt AI models built on the same few foundation models and trained on similar datasets. From a financial stability perspective, which outcome is the most significant concern?

The key concern is correlated errors and herding. When firms rely on the same foundation models and data, they may react identically in stress, amplifying market moves and procyclicality, and a single model flaw can propagate across many institutions at once.

  1. ALower operating costs across the sector, which reduces profitability
  2. BCorrelated errors and herding in model outputs, amplifying procyclicality and market stressCorrect
  3. CReduced need for stress testing because models agree with each other
  4. DDiversification of risk because every firm uses a proven model

Explanation

Common models and data create homogeneity, so firms may make similar decisions simultaneously, such as selling in a shock. This amplifies shocks and concentrates failure points. Agreement among models is not independent validation, so it does not reduce stress testing needs or diversify risk.

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