Competition Commission of India Releases Study on AI and Competition

Oct 21, 2025
The Competition Commission of India has published a market study on artificial intelligence and competition, highlighting the rapid adoption of AI across sectors and the potential for anti-competitive risks. The report calls for responsible AI practices, self-audits, and stronger regulatory coordination.

The Competition Commission of India (CCI) has released a market study titled Market Study on Artificial Intelligence and Competition, conducted through the Management Development Institute Society (MDIS). The report examines the structure of India’s AI ecosystem, market trends, and potential competition issues arising from increased AI adoption.

According to the study, AI technologies are rapidly transforming market dynamics, business operations, and regulatory frameworks across multiple sectors in India. While the use of AI offers efficiency and innovation benefits, the report warns of emerging risks that could impact competition, including exclusive partnerships and dependencies that may limit market access.

To address these challenges, the CCI plans to organize a conference on AI and regulatory issues, conduct advocacy workshops on AI and competition compliance, and establish a think tank focused on digital markets. The commission also intends to strengthen its technical capabilities and engage with international competition authorities.

The report recommends that companies perform self-audits of AI systems for competition compliance and adopt transparency measures to reduce information asymmetry. It further calls for enhanced inter-regulatory coordination and improved access to AI infrastructure to foster fair competition and consumer protection in India’s growing AI sector.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

AI Safety & Regulation AI Brief AI Brief (X)
Free newsletter

AI Policy Brief

Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.