Artificial Intelligence in E-Commerce: Opportunities, Risks, and Consumer Implications

Abstract

Artificial Intelligence (AI) has become a major technological force reshaping the structure, operation, and competitive dynamics of electronic commerce. The rapid expansion of AI-powered recommendation systems, conversational agents, predictive analytics, computer vision, automated customer service, intelligent pricing, fraud detection, and generative AI has transformed the manner in which consumers discover, evaluate, purchase, and review products and services online. At the same time, AI has enabled e-commerce firms to automate business processes, personalize customer experiences, optimize supply chains, forecast demand, and improve decision-making. These developments create substantial opportunities for businesses, including operational efficiency, cost reduction, improved customer engagement, market expansion, and enhanced competitiveness.
However, AI-driven e-commerce also presents significant challenges. Algorithmic bias, privacy concerns, cybersecurity threats, inaccurate recommendations, excessive personalization, consumer manipulation, opaque decision-making, price discrimination, and dependence on automated systems may negatively affect consumers and businesses. The growing use of generative AI and AI shopping assistants further raises questions regarding consumer trust, information reliability, intellectual property, transparency, and the future role of traditional search and retail platforms. The OECD's updated 2025 definition of e-commerce recognizes the increasing importance of AI-assisted ordering and emerging digital purchasing channels, demonstrating that AI is becoming relevant not only to individual businesses but also to the conceptual measurement of e-commerce itself.