Study Exposes Retailers' Waiver on AI-Detected False 'Made in USA' Claims
A newly published study from the Center for Law and the Economy at Columbia Law School, led by former Federal Trade Commission Chair Lina Khan, finds that Amazon and Walmart's AI shopping assistants are adept at spotting fraudulent 'Made in USA' claims—but the retailers are not using that capability to remove or flag the misleading listings.
Researchers queried Amazon's Alexa for Shopping and Walmart's Sparky about products with explicit 'Made in USA' labels that directly contradicted other information in the same listings. Both chatbots correctly identified the inconsistencies, yet when asked why the companies themselves weren't doing more, the AI bots offered business rationales instead of apologies. Sparky replied that the FTC typically enforces country-of-origin rules against manufacturers, not retailers, and even labeled that stance “a business calculation, not a legal justification.”
The FTC last year had already urged both retailers to crack down on third-party sellers making false 'Made in USA' assertions, citing the companies' own policies that require accurate seller information. Despite that pressure, the study shows the problem persisting. Amazon's Alexa, when pressed, summarized the dilemma bluntly: “The harm to U.S.-made brands is real and documented, but until that harm creates a financial, regulatory, or reputational cost for Amazon specifically, it remains easier to do nothing.”
Why Amazon and Walmart Turn a Blind Eye
Amazon's AI Assistant: Candor at a Cost
Amazon's own chatbot succinctly exposed the gap between technical capability and corporate action. Alexa acknowledged the damage to American brands but framed inaction as a cold business decision—only a direct cost to Amazon would shift policy. That admission puts the company in a reputational bind, contradicting its public statements about robust seller enforcement and potentially fueling consumer and regulatory backlash.
Walmart's Sparky: The Regulatory Dodge
Walmart's chatbot deflected responsibility by pointing to the FTC's historical focus on manufacturers. That stance, however, ignores the FTC's 2025 warning that retailers with broad enforcement policies still have a duty to police their marketplaces. Sparky's own label of the response as a “business calculation” underscores that the decision is voluntary, not legally compelled, leaving Walmart exposed if regulators or lawmakers decide to close that gap.
The Incentive Misalignment Behind the Silence
The core issue is not AI's ability—the study confirms Alexa and Sparky are sophisticated enough to spot discrepancies. Rather, the retailers' primary use of AI is to drive spending, not to tighten listing standards. Removing falsely labeled products could reduce transaction volume, erode advertising revenue from those sellers, and invite liability for past inaction. Until an external force—stricter regulation, a major lawsuit, or a consumer trust crisis—shifts that calculus, the AI's fraud-detection talent sits unused.
What It Means for Policymakers and Consumers
Actions for Policymakers and Consumers
- For regulators: The FTC can leverage the study's findings to push for direct platform liability, moving enforcement beyond manufacturers. The chatbot responses themselves could be used as evidence that retailers knowingly tolerate false claims.
- For U.S. manufacturers: Brands harmed by fake 'Made in USA' labels should cite this research when pressing Amazon and Walmart to enforce their own seller policies, and consider coordinated complaints to the FTC.
- For consumers: If you spot a suspicious 'Made in USA' claim, report it to the FTC via the agency's complaint portal, referencing the study to add weight. Public pressure can raise the reputational cost that, according to the AI, is the only thing missing.
- For lawmakers: The episode highlights a potential need for legislation that explicitly requires online marketplaces to proactively remove listings with demonstrably false country-of-origin claims, rather than relying on manufacturer-by-manufacturer enforcement.
Risk & Opportunity Assessment
| Commercial Risk | Medium | Consumer trust in 'Made in USA' labels is at risk; FTC fines or a class-action lawsuit could impose direct costs, and the negative publicity may reduce high-margin sales that lean on American-made claims. |
| Competitive Risk | Low | Both Amazon and Walmart face the same reputational exposure, so neither gains a clear competitive advantage from the other's failure to act. |
| Regulatory Risk | Medium | The FTC explicitly urged enforcement in 2025, and this study gives the agency fresh ammunition to pursue platform accountability, potentially leading to new rules or consent decrees. |
| Reputation Risk | High | A retailer's own AI admitting that harm is real but inaction is easier because it doesn't hurt the company financially creates a sharp reputational sting, especially for customers who value local manufacturing. |
| Technology Disruption | Low | The AI detection capability itself does not threaten Amazon or Walmart's business models; the disruption lies in how external forces might leverage that capability to force policy changes. |
| Commercial Opportunity | Low | While proactively flagging false claims could build trust, there is no immediate revenue upside; the opportunity is defensive—heading off a potential crisis—and neither retailer has signaled a willingness to act. |
Comments 0