Google Unveils AI-Driven Shopping Vision to Transform Online Commerce
For over 25 years, Google has shaped the internet through its dominant search engine and its role as a key intermediary between users and online content, stores, and businesses. However, with the rise of AI tools like ChatGPT and Claude, Google recognizes that its foundational business model is rapidly evolving. In response, Google is not only integrating AI into its search engine but also aiming to control more of the online shopping journey itself. Instead of merely directing users to retailers, Google's AI will find products, compare prices, check compatibility, apply credit card benefits, and in some cases, complete purchases or transfer shopping carts directly to retailer websites.
Suresh Ganapathi, a senior product executive at Google, explained in an exclusive interview with ynet that Google's role remains that of a platform, not a retailer, emphasizing that the official seller remains the business itself. Google's AI is designed to help consumers better articulate their needs so it can find the most suitable products. To achieve this, Google is developing a new commerce layer called Agentic Commerce, which includes three main components: the Universal Commerce Protocol (UCP) to create a common language between AI agents and online stores; Agentic Payments, allowing AI to make purchases on behalf of users under strict user-defined conditions; and the Universal Cart, which aggregates products from across Google's ecosystem, tracks price history, alerts users to price drops or restocks, and identifies product compatibility issues.
Addressing concerns about small businesses' visibility, Ganapathi stated that open protocols like UCP, developed with major platforms such as Etsy and Shopify, will enable AI agents to discover products from retailers of all sizes. However, the shift to AI-driven answers raises challenges for content sites, which risk losing traffic and advertising revenue if users receive direct AI responses without visiting their pages. This could fundamentally change how businesses compete, moving from ranking in search results to being included in AI-generated answers.
When asked about the risk of large brands paying for preferential AI recommendations, Ganapathi rejected this, noting that ads have never influenced Google's organic content rankings. Yet, the transition from open search results to AI-curated answers changes the competitive landscape. On accountability for AI errors, Ganapathi acknowledged the challenge but emphasized efforts to minimize mistakes through combining models, leveraging Google's vast data, and respecting user-shared information. Ultimately, Google's AI aims to assist users in understanding their needs rather than making unilateral purchase decisions.
While it remains uncertain how fully this vision will materialize, it is clear that Google is competing not just for the future of search but for control over how products are discovered and purchased online. If successful, Google could shape the internet economy of the AI era, raising questions about whether this will create new opportunities or concentrate even more power in Google's hands.
