» Why OpenAI Revises Its “Shopping Inside ChatGPT” Strategy 
» Why OpenAI Revises Its “Shopping Inside ChatGPT” Strategy 

Why OpenAI Revises Its “Shopping Inside ChatGPT” Strategy 

Agentic commerce promises a future where AI agents shop for users automatically. But OpenAI’s latest shift shows the reality is more complex. Technical challenges, consumer trust, and platform dynamics are reshaping how AI-powered shopping may actually evolve.

By 10XCREW team , posted on March 15, 2026

The idea of agentic commerce has captured the imagination of the tech and retail industries. In this model, AI agents act on behalf of users: researching products, comparing options, and even completing purchases automatically. OpenAI has been pushing this concept through its chatbot ecosystem, positioning AI as the next gateway to online shopping. 

What is agentic commerce and how does it work?

Agentic commerce refers to a model where AI agents can research products, compare options, and potentially complete purchases on behalf of users. Instead of browsing multiple websites, shoppers interact with an AI assistant that recommends products based on preferences, budget, or urgency.

Why is OpenAI revising its “shopping inside ChatGPT” strategy?

Can AI agents already complete online purchases automatically?

Why is consumer trust a challenge for AI powered shopping?

How should brands prepare for AI driven shopping and discovery?

Why OpenAI Revises Its “Shopping Inside ChatGPT” Strategy

However, recent developments suggest that the path toward fully autonomous AI shopping may be slower and more complex than expected. 

Agentic commerce refers to a new form of online shopping where AI agents can manage transactions for users, from product discovery to payment confirmation. Instead of browsing multiple websites, consumers simply instruct an AI assistant to find and purchase the best option based on preferences, budget, or urgency. 

Read more: What is agentic commerce? 

For technology companies, this vision could reshape how consumers interact with e-commerce. Chat-based interfaces could replace traditional browsing, giving AI platforms a powerful role as intermediaries between shoppers and brands. 

In theory, AI-driven commerce would streamline decision-making, reduce friction in the buying process, and create highly personalized shopping experiences. But reality is proving more complicated. 

OpenAI has begun recalibrating its approach to agentic commerce. Instead of enabling end-to-end purchases directly inside chat, the company is shifting toward a model where transactions happen through third-party apps connected to the chatbot. 

Why OpenAI Revises Its “Shopping Inside ChatGPT” Strategy

This pivot highlights the technical and behavioral hurdles involved in turning conversational AI into a full-fledged shopping platform. Several challenges are slowing adoption: 

  • Complex purchase workflows: Buying products involves inventory checks, payments, logistics, and refunds; tasks that AI agents must handle reliably. 
  • Consumer trust: Many users are still hesitant to let AI complete purchases autonomously. 
  • Platform coordination: E-commerce requires cooperation among merchants, payment providers, and platforms. 

Beyond consumer adoption, the infrastructure for agentic commerce is still evolving. Developers are working on standards that allow AI systems to interact with payment systems, product catalogs, and merchant platforms. One example is the Agentic Commerce Protocol, which enables conversations between AI agents, buyers, and businesses to complete purchases securely. 

Read more: OpenAI’s agentic commerce ambitions get a reality check 

But building a reliable ecosystem takes time. AI agents must coordinate across multiple services while maintaining security, trust, and accuracy in every transaction. Without this infrastructure, autonomous commerce cannot scale safely. 

Why OpenAI Revises Its “Shopping Inside ChatGPT” Strategy

Even if full automation takes longer, the broader trend is clear: AI assistants are becoming the starting point of the shopping journey. Consumers increasingly ask conversational AI for product recommendations instead of searching directly on retailer websites.  

As a result, AI platforms may influence which products users see first and which brands gain visibility. For marketers and e-commerce teams, this shift introduces a new challenge, optimizing not only for human shoppers but also for AI-driven discovery systems. In other words, the next era of SEO may involve ranking inside AI conversations rather than traditional search results. 

The lesson from OpenAI’s evolving strategy is not that agentic commerce is failing—it’s that the transformation will be gradual. Businesses should start preparing for AI-mediated shopping by: 

  • Structuring product data for machine readability 
  • Improving trust signals such as reviews and pricing transparency 
  • Building integrations that allow AI systems to access product catalogs 

The shift from traditional SEO to AI-powered discovery is already underway. If your brand isn’t optimized for AI platforms, it may become invisible in the next generation of search and commerce. 

At 10XCREW, we help businesses adapt to the era of AI search, conversational discovery, and agent-driven marketing. Want to see how your brand performs inside AI recommendations? Contact 10XCREW now! 



About 10XCREW

10XCREW is a D2C performance agency that helps brands grow across Europe. We work with clients in the Netherlands and the wider Benelux region, Germany, France, Spain, the United Kingdom, Italy and more. Our team combines strategy, data, and hands on execution to scale brands across marketplaces, webshops and social platforms such as Amazon, bol, Meta, TikTok Shop and other key channels.

We manage daily operations, retail media, demand planning, forecasting and performance content to help brands build bestsellers and grow market share.

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