CCI Stresses AI Self-Audits to Combat Algorithmic Collusion and Enhance Market Transparency

October 6, 2025
CCI Stresses AI Self-Audits to Combat Algorithmic Collusion and Enhance Market Transparency
  • The Competition Commission of India (CCI) has released a market study emphasizing the importance of AI self-audits and transparency to prevent algorithmic collusion, price discrimination, and lack of market transparency.

  • To address emerging challenges, the CCI proposes initiatives including conferences, workshops, strengthening technical capabilities, establishing a think tank on digital markets, and improving inter-regulatory coordination.

  • Major concerns include market concentration, ecosystem lock-in, opaque algorithms, and the risk of collusion, with 37% of AI startup respondents perceiving collusion risks.

  • The AI value chain in India is divided into upstream layers—data, infrastructure, development, foundation models—and downstream layers like model fine-tuning and deployment, with global firms dominating upstream segments.

  • India is developing its AI governance frameworks through national strategies and data protection laws, aligning with international efforts by the US, EU, China, and Japan to promote transparency and accountability.

  • AI adoption is rapidly expanding across sectors such as banking, healthcare, retail, logistics, and agriculture, with use cases including fraud detection, personalized recommendations, and AI-driven diagnostics.

  • The global AI market is projected to grow from USD 244 billion in 2025 to USD 1 trillion by 2031, with India’s market expected to expand from USD 7.84 billion to nearly USD 32 billion in the same period.

  • A survey indicates high AI usage in India for customer monitoring, supply chain tracking, and demand forecasting, contributing to an expected CAGR of 39-43% between 2025 and 2032.

  • From 2020 to 2024, the global AI market more than doubled, and India’s AI market grew from USD 3.2 billion to USD 6 billion, with substantial growth forecasted.

  • The downstream AI ecosystem is rapidly expanding, with most startups focusing on application layers and relying on open-source tools and technologies like ML, NLP, and generative AI.

  • Legal experts emphasize translating these insights into clear compliance expectations for businesses to foster responsible AI development.

  • The proposed initiatives are timely, aiming to address challenges in AI regulation amid rapid technological advancements.

  • Major global AI players include OpenAI, Microsoft, Google, and Meta, while Indian startups like Observe.AI and Ola Krutrim are also prominent in the ecosystem.

Summary based on 13 sources


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