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CCI’s Evolving Approach To AI-Driven Markets

Updated: Dec 11, 2025




Sakshi Yadav, University of Allahabad


ABSTRACT


This article examines the evolving approach of the Competition Commission of India (CCI) to AI-driven markets and its shifting focus from abstract AI ethics to concrete questions of market power. Using the CCI’s 2025 AI market study as its core reference point, it maps structural mismatch between upstream AI infrastructure and models and downstream deployment and applications. It also outlines six theories of harm enabled by algorithmic opacity, speed and data concentration. It analyzes CCI’s existing digital jurisprudence on abuse of dominance, especially cases involving Android billing and search self-preferencing, which already constrain data use and algorithmic ranking in ways that can be extended to AI systems. The article then examines the commission’s institutional capacity, highlighting technical, inter-regulatory and informational gaps. Finally, it argues about the four structural issues in the AI market and the effectiveness of India’s AI competition regime, raising a question that whether the commission can move from monetary penalties to layered data access and interoperability remedies.


Keywords: Competition Commission of India (CCI), AI market study, Abuse of dominance, Algorithmic self-preferencing, Digital Competition Bill 2024, Systematically Significant Digital Enterprises (SSDE’s), Data access remedies.



Indian Journal of Law and Legal Research

Abbreviation: IJLLR

ISSN: 2582-8878

Website: www.ijllr.com

Accessibility: Open Access

License: Creative Commons 4.0

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All research articles published in The Indian Journal of Law and Legal Research are fully open access. i.e. immediately freely available to read, download and share. Articles are published under the terms of a Creative Commons license which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

 

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The opinions expressed in this publication are those of the authors. They do not purport to reflect the opinions or views of the IJLLR or its members. The designations employed in this publication and the presentation of material therein do not imply the expression of any opinion whatsoever on the part of the IJLLR.

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