Target shifts blame for ai shopping errors to customers

Target is quietly absolving itself of responsibility for errors made by its new AI-powered shopping assistant, Agentic Commerce, essentially telling customers to double-check every purchase—or foot the bill. This unprecedented move raises serious questions about the rush to automate retail, particularly as these systems are deployed with minimal testing and scant consumer protections.

The fine print: a waiver of responsibility

The shift, detailed by Business Insider, is buried deep within Target’s updated terms of use. It states, bluntly, that Target “does not guarantee that an Agentic Commerce agent will act exactly as you intend in all circumstances.” More damningly, any transaction completed by the AI is automatically considered authorized by the customer, regardless of whether it aligns with their original request. Imagine asking for a replacement lightbulb and receiving a jet ski—and being told it's your fault for not catching the error.

This isn’t merely a Target phenomenon. Microsoft’s Copilot, similarly, has recently been reclassified as “an entertainment product,” shifting liability for its errors onto the user. The speed at which these AI agents are being integrated into e-commerce platforms—many barely a year old—is jarring, especially considering the inherent instability of these models. The promise of automated purchasing, reducing customer friction and boosting sales, appears to be prioritized over user safety and accuracy.

Beyond chatbots: the rise of agentic commerce

While chatbots like ChatGPT and Gemini primarily provide responses, Agentic Commerce systems actively execute tasks. In a retail setting, this means autonomously completing orders. A user can request a product, and the agent handles everything from filling in shipping details to processing payment, often leveraging existing customer data. The problem? These systems frequently misinterpret requests, substituting desired items with significantly more expensive alternatives, or simply ordering entirely unrelated products. The customer, in Target's new framework, bears the burden of correcting these mistakes.

The underlying logic is clear: businesses are eager to minimize customer engagement in the purchasing process, believing that a shorter path to checkout translates to higher conversion rates and reduced operational costs. But the consequence is a dangerous erosion of consumer control and accountability. A recent Nvidia DLSS 5 video, erroneously deleted by YouTube’s AI moderation system, highlights another critical flaw: these systems, even when not handling financial transactions, are prone to significant errors. The current legal landscape has not caught up with the pace of AI development, leaving consumers vulnerable to unexpected charges and automated decisions.

While Target offers the traditional return policy for unwanted AI-generated purchases, the inconvenience remains substantial. Customers are charged upfront and must ship the incorrect item back before receiving a refund. It's a process that directly contradicts the very purpose of automated convenience.

Ultimately, Target’s actions represent a troubling trend: the delegation of responsibility to algorithms, regardless of their fallibility. As retailers increasingly embrace AI-powered agents, consumers must exercise extreme caution and vigilance, lest they find themselves footing the bill for an AI’s miscalculations.