AI adoption accelerates anti-competitive practices in digital markets, warns CCI chief Ravneet Kaur

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Competition Commission of India chairperson Ravneet Kaur warned that AI adoption is accelerating anti-competitive practices like self-preferencing, discriminatory pricing, and market manipulation in digital markets at jet speed. The regulator is studying agentic AI systems that act independently without human intervention, urging enterprises to conduct self-audits for competition compliance.

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AI transforms digital markets at unprecedented speed

Competition Commission of India chairperson Ravneet Kaur issued a stark warning about how AI is reshaping competition dynamics in digital markets. Speaking at a national training programme for law students at the India International University of Legal Education and Research in Goa, Kaur emphasized that what was already moving at a fast pace in digital markets has now accelerated to "jet speed" because of AI adoption.

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While businesses across sectors rapidly integrate AI tools into healthcare, education, logistics and supply chain management, the Competition Commission of India must examine whether these same technologies enable anti-competitive practices already observed in digital markets.

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Self-preferencing and discriminatory pricing emerge as key concerns

The CCI has identified specific competition risks in digital markets amplified by AI, including self-preferencing, discriminatory pricing, tying, and market manipulation. Kaur explained that the regulator is particularly concerned about agentic AI systems that can independently make decisions and execute actions with limited or no direct human intervention.

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She illustrated how algorithms could be designed to track competitor pricing and automatically respond by matching or cutting prices without human oversight.

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This autonomous behavior raises fundamental questions about accountability and market fairness as AI systems operate independently.

Market study reveals AI-driven competition dynamics

The Competition Commission of India released a first-of-its-kind detailed market study on AI and competition in October 2025, examining how rapid AI adoption reshapes competitive landscapes.

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The study highlighted potential AI-driven anti-competitive practices including algorithmic collusion, discriminatory practices, and exclusionary behavior. These findings prompted the regulator to call for enterprises to conduct self-audits of their AI systems for competition compliance, particularly companies with significant market power or wide consumer reach. The CCI stressed that greater transparency around AI systems does not require disclosure of proprietary algorithms or commercially sensitive information, but aims to make systems more explainable and auditable.

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CCI balances innovation with abuse of dominance prevention

Ravneet Kaur clarified the regulator's stance on market dominance, stating that the CCI has nothing against enterprises becoming large or dominant through merit and innovation. "We are okay with enterprises becoming dominant. We have nothing against dominance, against growth. But the abuse of dominance is where the CCI comes down very strictly," Kaur said.

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She emphasized that India moved away from the earlier MRTP regime after 1991 economic reforms, now focusing on allowing business growth while preventing exclusionary or exploitative practices. The challenge lies in keeping pace with rapid technological changes while ensuring regulation does not hinder innovation or legitimate business expansion in India's growing startup ecosystem.

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Enterprises shift focus from cost to risk management

The open-source AI debate has evolved beyond cost considerations as businesses embed AI into critical workflows. PayU CTO Narendra Babu noted that enterprise conversations around open-source models have shifted from cost management to risk management, driven by concerns about access disruptions, pricing changes, or altered terms from proprietary model providers.

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The CCI plans to conduct focused workshops on AI and competition compliance to help businesses understand how competition law applies to AI systems and identify necessary safeguards to mitigate compliance risks. Kaur emphasized that prevention through competition compliance is better than cure, while confirming the regulator would not rush to regulate every new technology or market development. Market studies remain an important tool for understanding emerging issues, particularly given India's large and expanding startup ecosystem.

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