Market concentration risks and single points of failure
Market power is concentrated among a few companies that are the only ones able to build the leading general- purpose AI models. Widespread adoption of a few general- purpose AI models and systems by critical sectors including finance, cybersecurity, and defence creates systemic risk because any flaws, vulnerabilities, bugs, or inherent biases in the dominant general- purpose AI models and systems could cause simultaneous failures and disruptions on a broad scale across these interdependent sectors.
ENTITY
1 - Human
INTENT
3 - Other
TIMING
2 - Post-deployment
Risk ID
mit779
Domain lineage
6. Socioeconomic and Environmental
6.1 > Power centralization and unfair distribution of benefits
Mitigation strategy
1. Mandate comprehensive systemic risk assessment for general-purpose AI models that have attained systemic criticality, including rigorous model evaluation, adversarial testing, and the implementation of robust cybersecurity protocols for the model and its physical infrastructure. 2. Implement pro-competitive policy interventions, such as reducing barriers to entry for new developers and supporting diverse research trajectories, to counteract market power concentration and foster a resilient ecosystem of alternative AI systems. 3. Require the provision of detailed technical documentation and transparency on model capabilities and foreseeable misuse to downstream users, enabling critical sectors (e.g., finance, defense) to conduct independent risk management and ensure operational resilience against potential systemic flaws.