# AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI

**Authors:** Ayse Gizem Yasar, Andrew Chong, Evan Dong, Thomas Krendl Gilbert, Sarah Hladikova, Roland Maio, Carlos Mougan, Xudong Shen, Shubham Singh, Ana-Andreea Stoica, Savannah Thais, Miri Zilka  
**arXiv:** [2308.02033](https://arxiv.org/abs/2308.02033)  
**Date:** 2023-07-07  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/2308.02033v1/

## Key points

- Risks associated with the increasing bigness of digital markets as AI technology advances
- Limitations of the current framework in addressing generative AI systems as gateways for AI-based services
- Proposal to integrate certain AI software as core platform services and classify specific developers as gatekeepers under the EU's Digital Markets Act (DMA)
- Suggestion to assess gatekeeper obligations to cover generative AI services
- Need for generative AI-specific rules and possible amendments to promote diversity and openness in generative AI services
- Conglomerate ecosystems around core platform services create entry barriers and reinforce entrenched positions, leading to unfair behavior towards business users and reduced innovation
- Significance of the DMA in countering platform size and gatekeeping beyond traditional competition law rules
- Regulation aims to address shortcomings in competition law by targeting platform size and gatekeeping rather than abuse of dominance or monopoly power.

## Summary

This paper discusses the risks associated with the increasing bigness of digital markets as AI technology continues to advance. It highlights the limitations of the current framework, particularly in addressing generative AI systems that could serve as gateways for AI-based services. To address these concerns, the authors propose integrating certain AI software as core platform services and classifying specific developers as gatekeepers under the EU's Digital Markets Act (DMA). They also suggest assessing gatekeeper obligations to ensure they cover generative AI services. The paper emphasizes the need for generative AI-specific rules and possible amendments to the DMA to promote diversity and openness in generative AI services. It argues that conglomerate ecosystems around core platform services create entry barriers and reinforce entrenched positions, leading to unfair behavior towards business users and reduced innovation in core platform services. The authors highlight the significance of the DMA in countering platform size and gatekeeping, which goes beyond traditional competition law rules. The regulation aims to address shortcomings in competition law by targeting platform size and gatekeeping rather than abuse of dominance or monopoly power. Overall, this paper provides insights into addressing the risks associated with bigness in digital markets through integrating certain AI software, classifying developers as gatekeepers, and ensuring generative AI services are adequately covered by gatekeeper obligations under the DMA. It contributes to discussions on promoting diversity and openness in generative AI services while countering unfair behavior and fostering innovation in core platform services.