Anticompetitive Practices: Data, Cartels and Consumerism

The digital economy has transformed data into the most valuable commercial resource of the twenty-first century. Yet unlike traditional resources, data does not deplete upon use. Instead, its concentration in the hands of a few corporations and its manipulation by algorithms creates novel anticompetitive practices that existing competition law struggles to address. This paper explores the phenomenon of data-driven cartelization where artificial intelligence tools, predictive algorithms and behavioral targeting not only facilitate collusion among firms but also challenge the traditional requirement of human intent in cartel formation. It critically examines the intersection of data protection, consumer welfare and antitrust law through judicial precedents and statutory frameworks from India, the European Union and the United States. Landmark decisions such as the Cement Cartel case in India, the Google Shopping case in the EU and the Cambridge Analytica scandal demonstrate how unchecked data power threatens both competition and democracy. By analyzing legislative instruments such as the Indian Competition Act, the European Digital Services Act and the US Algorithmic Accountability Act, this study argues for a recalibration of legal frameworks that places technological accountability at the center of competition enforcement. The research paper concludes that effective regulation must integrate competition law, data protection principles and international cooperation in order to prevent algorithmic collusion, ensure consumer autonomy and preserve the constitutional values of privacy and economic liberty.