AI Agents Poised to Revolutionize Retail by Acting as Consumers' Digital Shoppers

The retail landscape is on the cusp of a major transformation with the rise of "Agentic Commerce," where artificial intelligence agents will increasingly handle shopping tasks on behalf of consumers. Instead of consumers searching, comparing, and purchasing, AI agents will perform these actions, saving consumers significant time. For brands, this shift means moving from persuading customers to buy to persuading AI agents to choose their products.

This evolution is already visible in data, with searches via agents increasing by 200% in one year and traffic from AI chatbots growing substantially. A recent report indicated that AI and autonomous agents were involved in $262 billion in global consumer spending during November and December 2025, representing about 20% of total sales. This trend suggests that the future consumer may be less of a human browsing online and more of an AI agent making decisions.

Industry experts like Yaniv Saban, CEO of ONE Digital Marketing, and Liran Shechter, VP of Digital Sales at Salesforce Israel, explain that the focus for brands will shift from attracting consumers directly to optimizing for AI agents. This new paradigm, termed "GEO" (Generative Engine Optimization), aims to ensure brands are recommended by AI, not just listed. Companies will need to prioritize the quality and accuracy of information provided to AI systems, as the competition will be for the attention of the machine rather than the human consumer.

The role of the consumer's personal AI agent will become more sophisticated, learning preferences, budgets, and past purchases to find optimal deals, calculate shipping costs, and even negotiate with brand agents. This could lead to a future where AI agents interact directly with brand AI agents to complete transactions, with minimal human involvement.

While websites and physical stores are unlikely to disappear, their function will change. Future websites will need to be seamlessly integrated with AI agents, offering a unified experience. However, this shift raises significant privacy concerns, as AI agents will possess extensive personal data. For retailers, the challenge will be ensuring their brand appears in the AI agent's filtered recommendations, making data accuracy, real-time availability of inventory, pricing, and logistics crucial for survival in this new era of machine-to-machine commerce.