MIT AI Risk Repository · Risk Sub-Category · 72.03.02
Impact on Financial Stability
Category: Accident Risks
Description
"The integration of general-purpose AI into high-frequency trading, market-making, or systemic risk management could exacerbate systemic risk by exhibiting unexpected behavioral patterns during market stress. Moreover, the concentration of a few homogeneous foundation models across financial institutions may foster correlated decision-making and herd-following behaviors. The widespread adoption of AI agents could also amplify volatility through emergent phenomena from multi-agent interactions.23 All of these could precipitate a cascading global-scale financial system instability, with potentia
From Frontier AI Risk Management Framework (v1.0) (Tse2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Subdomain
- 7.6 Multi-agent risks
- Causal entity
- Other
- Intent
- Unintentional
- Timing
- Post-deployment
Subdomain definition: Risks from multi-agent interactions, due to incentives (which can lead to conflict or collusion) and/or the structure of multi-agent systems, which can create cascading failures, selection pressures, new security vulnerabilities, and a lack of shared information and trust.
How other frameworks describe this risk
Other entries from Tse2025
- Misuse Risks
- Misuse Risks
- Cyber Offense Risks
- Biological and Chemical Risks
- Biological and Chemical Risks
- Physical Harm and Injury Risks
- Physical Harm and Injury Risks
- Large-Scale Persuasion and Harmful Manipulation Risks
- Large-Scale Persuasion and Harmful Manipulation Risks
- Loss of Control Risks
- Loss of Control Risks
- Passive loss of control