OpenAI has dramatically scaled back ChatGPT's ability to process payments directly, shifting the chatbot's role from a complete shopping destination to a product discovery tool. The company's "Instant Checkout" feature, which launched last September with major retailers like Walmart and Shopify, is being deprioritized due to low conversion rates and persistent consumer trust concerns. This pivot reveals a fundamental truth about AI commerce: while conversational AI excels at helping people find products, the actual transaction still needs to happen on retailers' own platforms. What Went Wrong With ChatGPT's Shopping Feature? When OpenAI introduced Instant Checkout, the promise seemed straightforward: browse products, compare options, and buy everything without leaving the chat interface. In practice, the numbers told a different story. According to Daniel Danker, Walmart's vice president of AI acceleration, product, and design, the rate of completed purchases within ChatGPT was only about one-third of transactions completed through Walmart's own website. A separate survey by Semrush, a digital marketing analytics firm, found that just 22% of respondents had completed purchases directly within AI tools, while more than half reported using AI for product discovery before finalizing transactions through separate channels. These low conversion rates weren't random. Delayed updates, frequent errors, and declining user engagement all contributed to the feature's underperformance. More fundamentally, consumers simply didn't trust making payments through an unfamiliar interface. As one retail industry source explained, "it takes years to build consumer trust, but it can collapse instantly," adding that "even a single security issue or error at the payment stage can undermine confidence in AI shopping as a whole". How Are Retailers Adapting to AI Commerce? - Walmart's Hybrid Approach: Walmart maintains its partnership with OpenAI while integrating its own AI shopping assistant called "Sparky" into both ChatGPT and its proprietary platform. Users can explore products within ChatGPT, but account linkage, reward application, and payment all redirect back to Walmart's environment. - Gap's Direct Integration: Gap chose a different path by integrating direct payment functionality into Google's AI platform Gemini. Users can search for products and complete purchases of Gap items immediately within the interface, unifying discovery and checkout in one AI environment. - Retailer Data Partnerships: Companies including Target, Nordstrom, Lowe's, Home Depot, and Wayfair provide product data to external platforms like ChatGPT while retaining payment authority within their own sites. Sephora offers personalized recommendations through a dedicated ChatGPT app but defers payment functionality to later stages. Danker explained the philosophy behind Walmart's strategy: "Shopping can begin anywhere, whether in the Walmart app or ChatGPT," he said, adding that "regardless of where it starts, it is critical that customers experience our speed and personalization". This reflects a broader industry consensus that AI should enhance the shopping journey, not replace the platforms where trust and payment security already exist. Danker Where AI Commerce Actually Works The data reveals where conversational AI genuinely influences purchasing behavior. A joint survey by the IBM Institute for Business Value and the National Retail Federation (NRF) found that while 72% of global consumers still prefer offline stores, 45% reported using AI during the purchase process. Among those who used AI, the breakdown was clear: 41% used it for product research, 33% for interpreting reviews, and 31% for finding discounts and benefits. This pre-purchase phase is where AI excels. Consumers increasingly narrow down options and complete comparisons through AI interactions before entering a store or launching a brand's app. New York department store chain Bloomingdale's operates a one-on-one personalized styling service combining video calls and live chat, while Four Seasons Hotels and Resorts offers a conversational concierge through its app. Norwegian-based Berg Sports uses an AI chatbot to help customers find bicycles and related products. Beyond traditional e-commerce, retailers are experimenting with conversational tools across multiple channels. As touchpoints expand across messaging platforms, apps, voice interfaces, text, and push notifications, companies are focusing investment on areas that can most effectively influence consumer decisions. Live commerce on social media platforms, including Facebook, Instagram, and X, has introduced a significant shift by linking discovery, conversation, and immediate feedback to drive purchases, though it has not achieved the large-scale conversion rates initially anticipated. What Does This Mean for the Future of AI Shopping? Industry observers view OpenAI's pivot as evidence of a fundamental limitation: establishing a unified commerce platform centered on payment functionality doesn't work when existing retail structures have already built consumer trust, payment stability, and brand-driven experience over years. The inability to replace these structures has become evident through real market data. Lee Kyung-hoon, vice president at Channel Corporation, noted that "predictions that platform-centric models would replace existing channels have surfaced repeatedly in the past, but none have materialized," adding that "as shopping encompasses discovery and experience before purchase, brands are continuing to expand diverse pathways while maintaining their own channels". In this context, AI is likely to settle into a supporting role within multiple pathways rather than becoming the primary transaction hub. The lesson is clear: ChatGPT and similar AI tools are becoming increasingly valuable as shopping decision hubs focused on discovery and comparison. But the actual payment, customer data, and loyalty rewards will remain where they've always been, on the retailers' own platforms. This division of labor reflects not a failure of AI commerce, but rather a realistic understanding of where AI adds genuine value and where consumer trust remains paramount.
