We typically view competition as a positive force that lowers prices, improves quality and service, and increases variety. However, competition can sometimes be toxic.
Generative artificial intelligence (AI) is reshaping how companies profile individuals, create and target ads, and influence behavior—often in ways that undermine privacy, autonomy, and democracy. This article explores a critical but overlooked question: how AI affects the relationship between competition and privacy. Increased competition in the AI supply chain may seem like a solution to Big Tech’s dominance, but when firms are rewarded for surveillance and manipulation, more competition can actually make things worse.
Drawing on recent market trends and twenty state privacy laws, the Article shows how the existing legal frameworks—even those designed to protect privacy—fall short and may unintentionally entrench the power of few data-opolies. It argues that privacy and competition must be addressed together, not in silos, and offers specific legislative reforms to help align business incentives with public interests. Without stronger guardrails, AI risks accelerating a race to the bottom—fueled not only by powerful technologies, but by well-intentioned, but flawed policies.
