ABSTRACT
This rise of Artificial intelligence (AI) has reshaped market dynamics, enhanced efficiency and benefiting consumer, while introducing challenges within competition law related to algorithmic transparency, accountability, and the risk of dominance abuse, which may lead to exclusionary and exploitative outcomes. This fundamental change, propelled by algorithmic models that impact incentives across various industries and the wider economy, poses a significant challenge to existing ex-post competition law frameworks that rely on human intent, enforceable agreements (whether implicit or explicit), and recognizable behaviours that can be penalized retrospectively. The EU, UK, and USA have implemented competition laws and regulations to address these matters, reflecting a legal response to changing demands and innovation. Competition authorities must consider various elements to successfully navigate these challenges in digital markets.
This research paper revolves around India’s Competition Act 2002, highlighting the limitations in tackling AI-drive practices such as tacit collusion, self-preferencing, and data monopolization. By using a doctrinal and comparative method, it analyses Indian case law (such as the investigations of Google LLC and Amazon), international frameworks and interdisciplinary materials concerning the risks posed by AI. Significant findings highlight enforcement gaps due to the opacity of algorithms and the necessity for reforms, which should include ex-ante regulations, strengthened capabilities for the CCI, and international collaboration. The paper suggests a hybrid strategy to ensure equitable markets, balancing innovation with consumer protection in economies integrated with AI.
KEYWORDS: Digital Market, Abuse, Dominant Position, Competition Law, Artificial Intelligence, Technology, etc.
INTRODUCTION
There is no universally accepted definition of AI. Some people define it in a broad sense as a computer-based system that demonstrates behaviours typically associated with intelligence, while others view it as a system capable of logically resolving complex issues or taking suitable actions to meet its objectives in real-world scenarios. AI systems have received considerable recognition from the global community and organizations like WIPO (World Intellectual Property Organization). In fact, countries such as Australia and Canada have implemented AI systems in their Patent offices to assist in performing semantic searches and to gather, refine, and analyze extensive datasets. AI has revolutionized the technology landscape, creating possibilities that were previously thought to be unattainable. This shifts traditional expectations for human labour in business operations. Algorithms, which are essential components of AI, facilitate reasoning to tackle issues in areas such as production management, market data collection, and market data collection, and market adaptation through analysis. However, this integration raises significant concerns in competition law, particularly regarding behaviour that may undermine market fairness, such as algorithmic collusion and the abuse of power by digital platforms.
In India, the competition Act 2002 serves as the basic legislation for regulation anti-competition, protect market integrity, defend consumer rights and preserve trading freedom. Nonetheless, its framework, established prior to the advent of AI, encounters difficulties in addressing the complexities of algorithmic opacity and autonomous decision-making, as evidenced by cases like Google LLC v. CCI and recent inquiries involving Amazon and Flipkart.
The introduction of AI inro markets introduces unique hazards Algorithms, described as methods for AI to reason and solve problems, enable immediate market monitoring and price adjustments that could lead to collusive agreements. For instance, the Samir Agarwal v. ANI technologies case highlighted the challenges the CCI faces in identifying hub-and-spoke collusion within ride-sharing services, while the Airlines Industry Cartel case revealed driven by algorithms. On an international level, dominance driven by AI, as seen in Google’s search algorithms and Amazon’s marketplace tactics, underscores the need for transparency to illuminate “black box” systems and accountability to address damages caused by algorithms.
Practices like self-preferencing where platforms favour their own offerings and data-driven barriers, which strengthen market power through feedback loops, threaten consumer options and hinder market entry. This research examines the intersection of AI and competition law in India, focusing on three crucial elements: algorithmic transparency, accountability, and the abuse of the dominance. Using a doctrinal and comparative approach, it assesses the provision of the competition Act alongside global frameworks. Cases like Google Shopping and inquiries into Amazon market place illustrate how AI promotes long-term dominance through data analysis and algorithmic bias. The report argues that Indian’s current framework, which is based on traditional economic theories, is unprepared to face the special difficulties brought by AI, necessitating reforms like as proactive laws, expanded CCI capacities, and international engagement. For effectively implement antitrust regulations against AI-driven dominance, international corporationis required for standardising algorithmic transparency and regulating cross-broader data governance. By cooperating with organisation like the OECD and encouraging collaborative investigations, India may close regulatory gaps and ensure uniform.