The Retreat from “Agentic Commerce”: Why Walmart and OpenAI Are Rethinking AI Shopping
Just six months after launching a bold experiment in AI-powered shopping, OpenAI is recalibrating its strategy. The initial vision of seamless purchases directly within ChatGPT, dubbed “Instant Checkout,” is being replaced with a more retailer-centric approach. This shift signals a potential turning point in the burgeoning field of “agentic commerce,” where AI proactively anticipates and fulfills consumer needs.
Walmart’s Experience: Conversions Fall Short
Walmart’s foray into Instant Checkout, announced in October 2025, proved less fruitful than anticipated. Internal data revealed conversion rates were roughly three times lower than those on Walmart’s own website. This discrepancy prompted a reevaluation of the model, with Walmart now focusing on integrating its AI assistant, Sparky, directly into ChatGPT while maintaining control over the crucial cart and transaction processes.
According to Daniel Danker, Walmart’s executive vice president of AI acceleration, product and design, the experience was “unsatisfying.” The limited product selection and occasional inaccuracies in item information further contributed to the underwhelming performance.
OpenAI’s Pivot: Giving Control Back to Merchants
OpenAI acknowledges the need for greater flexibility. In a recent blog post, the company stated it is allowing merchants to utilize their own checkout experiences, shifting its focus to product discovery within ChatGPT. This move reflects a growing recognition that retailers are hesitant to relinquish control over the checkout process and, crucially, customer data.
The initial Agentic Commerce Protocol, built with Stripe, aimed for a seamless handoff of order details and payment credentials. Yet, the lower conversion rates suggest that consumers may not be ready to fully trust an AI intermediary with their financial information or prefer the familiarity of established retailer checkout flows.
The Rise of Merchant-Controlled AI Experiences
The shift towards merchant control isn’t simply a retreat; it’s a strategic realignment. By allowing retailers to integrate their own checkout systems, OpenAI can tap into a broader range of e-commerce platforms and cater to diverse business needs. This approach as well addresses concerns about data privacy and security, which are paramount for both retailers and consumers.
Shopify and Etsy were also early adopters of the Instant Checkout feature, suggesting the issue wasn’t isolated to Walmart. The broader industry trend indicates a preference for AI tools that enhance, rather than replace, existing e-commerce infrastructure.
What Does This Mean for the Future of AI Shopping?
The evolution of agentic commerce is likely to follow a hybrid model. AI will continue to play a crucial role in product discovery, personalized recommendations, and streamlined shopping experiences. However, the final transaction will likely remain within the retailer’s domain, ensuring data security and maintaining customer relationships.
This also highlights the importance of AI assistants like Walmart’s Sparky, which can provide conversational shopping assistance while keeping the purchase process within the retailer’s ecosystem. The focus is shifting from AI as a direct seller to AI as a powerful shopping assistant.
Did you know? The term “agentic commerce” refers to AI systems that can proactively plan and execute purchases on behalf of consumers, going beyond simple reactive responses to requests.
FAQ
Q: What is “Instant Checkout”?
A: It was a feature within ChatGPT that allowed users to purchase products directly through the platform without leaving the chat interface.
Q: Why did Walmart stop using Instant Checkout?
A: Conversion rates were significantly lower compared to purchases made on Walmart’s own website.
Q: What is OpenAI doing now?
A: OpenAI is allowing retailers to use their own checkout experiences and focusing on improving product discovery within ChatGPT.
Q: What is “agentic commerce”?
A: It’s a model where AI proactively anticipates and fulfills consumer needs, rather than simply responding to requests.
Pro Tip: Retailers looking to leverage AI should prioritize solutions that integrate seamlessly with their existing infrastructure and provide robust data security measures.
Explore more about the evolving landscape of AI in retail and how businesses are adapting to these changes. Share your thoughts in the comments below – what do you think the future of AI shopping holds?
