Dead phone batteries during emergencies are dangerous, but AI shopping assistants making unauthorized purchases might be worse for your wallet. Target is preparing to deploy Google’s Gemini AI assistant into its shopping platform, but their updated terms place you on the hook for every mistake their AI makes—even when it buys something you never intended. While the retail giant promotes AI convenience, they’re quietly shifting all financial liability to customers through legal fine print that treats AI errors as your personal shopping decisions.
The Liability Shell Game
Target’s updated terms classify all AI transactions as customer-approved, regardless of intent.
Target’s new policy represents a broader industry pattern where retailers embrace AI efficiency while systematically disclaiming responsibility for AI failures. The company’s approach mirrors competitors who are rapidly deploying autonomous shopping agents without clear accountability frameworks. Customers must explicitly grant AI agents permissions to:
- Sign into accounts
- Modify shopping carts
- Place orders
However, once these permissions are granted, Target disclaims responsibility for the agent’s actions, even if they contradict your intended behavior.
Industry-Wide Accountability Dodge
Walmart and Amazon deploy similar liability shields while promising AI convenience.
While Target prepares its liability disclaimers, competitors follow similar playbooks with varying degrees of transparency. Walmart’s AI assistant includes warnings that the AI “may not be accurate, complete or up-to-date and may be misleading or contain errors.” Amazon’s approach with its Rufus AI assistant differs slightly in messaging. This inconsistent industry messaging reveals companies experimenting with AI deployment while systematically avoiding accountability for the inevitable mistakes.
The Legal Vacuum
Current liability frameworks struggle with autonomous AI decision-making.
The fundamental challenge with agentic AI creates what legal experts call a “responsibility gap”—harm occurs, but determining liability becomes legally ambiguous. Unlike traditional product defects, AI systems can generalize from experience and respond unpredictably to novel inputs. Currently, no nationwide consensus exists on agentic AI liability in the United States. The European Union’s proposed Artificial Intelligence Liability Directive offers a stark contrast, establishing presumptions of deployer liability in high-risk scenarios—effectively making retailers responsible for their AI’s mistakes.
Consumer Protection Reality Check
Returns don’t solve the underlying accountability imbalance.
You’re functioning as an unpaid quality analyst for corporate AI systems. Yes, products purchased via AI remain eligible for returns under standard policies, but this shifts the burden of monitoring, detecting, and correcting AI errors entirely to consumers. You can’t predict or control AI behavior, yet you bear all financial consequences while Target reaps the operational benefits. That’s not consumer protection—it’s corporate risk transfer disguised as technological progress.
