Concentration of market power (Trend toward market concentration)
In the generative AI market, barriers to entry are very high. Developers need access to vast volumes of data, computational resources, technical expertise, and capital. Large technology companies with such access are able to exploit economies of scale, economies of scope, and feedback effects (learning effects from user- generated data).542 All this gives them an overwhelming advantage over smaller companies, making competition increasingly challenging for these smaller entities.
ENTITY
1 - Human
INTENT
1 - Intentional
TIMING
3 - Other
Risk ID
mit749
Domain lineage
6. Socioeconomic and Environmental
6.1 > Power centralization and unfair distribution of benefits
Mitigation strategy
1. Regulatory Intervention to Ensure Nondiscriminatory Access to Essential Inputs Mandate that dominant technology enterprises provide nondiscriminatory access to critical GenAI inputs, such as high-performance computational infrastructure (e.g., GPUs) and foundational training datasets, to effectively lower the insurmountable barriers to entry stemming from capital concentration. 2. Proactive Antitrust Scrutiny and Enforcement Against Exclusionary Practices Implement enhanced and forward-looking antitrust enforcement to proactively monitor and restrict anti-competitive leveraging of market dominance, specifically targeting *exclusive dealing* arrangements, *tying* or *bundling* of GenAI services, and strategic *killer acquisitions* designed to stifle emergent competition and innovation. 3. Establishment of Interoperability and Data Portability Standards Develop and mandate clear technical standards for interoperability across the GenAI application stack and ensure robust data portability for user and model-generated content, thereby mitigating platform lock-in effects and fostering a more dynamic, competitive ecosystem.