 Competition concerns with foundation models: a new feast for big tech?Shourya Mitra European Competition Journal, 2025, vol. 21, issue 1, 140-160 Abstract: The paper explores how Generative AI intersects with Competition Law, focusing on Foundation Models (FMs) and Large Language Models (LLMs). It examines industry dynamics and identifies key competition issues like entry barriers, tying, leveraging, and acquisitions. It highlights the supply chain's importance and looks at how FMs are integrated into search software, chatbots, and productivity tools, particularly noting entry barriers such as computing power and data collection. It suggests that FMs might require new approaches to market delineation, possibly creating a separate relevant market for data. The paper also discusses various cases pertaining to tying and leveraging and highlights the difficulty in proving tying due to the blurred lines between traditional search engines and AI chatbots. It illustrates how competition assessments for acquisitions may require changes due to data being a highly flexible commodity for the industry. The paper concludes by calling for increased scrutiny and regulation for the industry. Date: 2025 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:recjxx:v:21:y:2025:i:1:p:140-160 Ordering information: This journal article can be ordered from DOI: 10.1080/17441056.2024.2379142 Access Statistics for this article European Competition Journal is currently edited by Philip Marsden More articles in European Competition Journal from Taylor & Francis Journals |
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