Hidden by Algorithms: Why AI Shopping Assistants Are Masking American-Made Products
New research from Columbia Law School reveals that Amazon and Walmart's AI shopping assistants may be hiding American-made products, raising concerns about algorithmic bias in e-commerce.

As consumers increasingly turn to AI-powered shopping assistants to navigate the vast digital marketplaces of giants like Amazon and Walmart, a concerning trend has emerged. New research from the Columbia Law School's Center for Law and the Economy suggests that these sophisticated AI tools, while helpful for general queries, are acting as digital gatekeepers that may be obscuring American-made products from the average shopper.
The 'Invisible' Bias in AI Recommendations
The report, titled 'Made in America, Hidden by AI,' highlights a significant discrepancy in how AI models prioritize search results. When researchers queried these AI assistants about products manufactured in the United States, they encountered frequent refusals or vague responses. Surprisingly, the same chatbots easily provided detailed information when asked about products originating from China.
Erie Meyer, a senior fellow at the center and co-author of the study, noted that the systems are technically capable of identifying origin data but appear designed to avoid highlighting it. "We tested these systems the way an engineer would, and the refusals fell apart under basic testing," Meyer stated. "The data was there, but the design was built to hide it."
The Mechanics of Digital Gatekeeping
Currently, neither Amazon nor Walmart provides a specific 'Made in USA' filter for their AI assistants, despite having extensive filtering systems for almost every other product attribute. This absence forces shoppers to rely on the AI's internal logic, which researchers argue is heavily influenced by corporate incentives rather than objective, consumer-friendly curation.
Lina Khan, director of the Center for Law and the Economy and former chair of the Federal Trade Commission, emphasized the broader implications for market fairness. "Business incentives will shape how these advancements get deployed," she noted. "Policymakers and enforcers have a vital role to play to ensure the public doesn't get the short end of the stick."
Can AI Actually Detect Fraud?
Perhaps the most ironic finding of the study is that the underlying AI is arguably 'too smart' for its own good. Researchers found that both Amazon and Walmart’s assistants were capable of identifying suspicious 'Made in USA' claims on product listings—distinguishing between verified domestic goods and misleading labels. This suggests that the platforms possess the technical ability to prioritize authentic American products but have chosen not to implement this for consumer transparency.
Industry Response
In response to the study, an Amazon spokesperson defended the company, stating that country-of-origin information is available on product detail pages and that the company is actively working to improve the accessibility of this data through its Alexa-powered shopping tools. Walmart, meanwhile, has yet to issue a formal comment regarding the research findings.
As AI continues to become the primary interface for our shopping habits, the opacity of these recommendation engines poses a real challenge. For now, consumers should remain skeptical of AI-led recommendations and continue to perform manual checks when country-of-origin is a priority for their purchase decisions.