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American Focus > Blog > Tech and Science > Instacart’s AI-driven pricing tool attracted attention — now the FTC has questions
Tech and Science

Instacart’s AI-driven pricing tool attracted attention — now the FTC has questions

Last updated: December 17, 2025 9:10 pm
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Instacart’s AI-driven pricing tool attracted attention — now the FTC has questions
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FTC Investigating Instacart’s AI Pricing Tool, Eversight

Instacart is currently under scrutiny by the Federal Trade Commission (FTC) for its AI-powered pricing tool, Eversight, as reported by Reuters. The FTC has issued a civil investigative demand to the grocery delivery platform, questioning why some customers are being charged significantly higher prices for the same products, particularly organic groceries.

The issue came to light when a study revealed that prices on Instacart varied widely for identical items from the same stores, with some customers paying up to 23% more than others. Instacart claims that these price discrepancies were a result of randomized tests and not targeted pricing based on individual browsing history. However, amid concerns about affordability, the distinction may not offer much reassurance to consumers.

Dynamic pricing is a common practice among digital platforms to remain competitive and optimize profitability. Airlines, hotels, and ride-sharing services like Uber all use dynamic pricing strategies. While companies argue that it benefits both consumers and businesses by balancing supply and demand, the implementation of such pricing models for essential goods like groceries raises ethical concerns.

The FTC’s investigation into Instacart’s pricing practices is not surprising, given the agency’s previous inquiries into data-driven pricing strategies by other companies. In an economy where many are struggling financially, AI-driven price testing for essential items is a sensitive issue that warrants attention.

In response to the controversy, Instacart has clarified that the pricing decisions are ultimately determined by their retail partners, and the platform works with them to align online and in-store pricing. The company also emphasizes that the price tests are not based on real-time changes or personalized data, but rather on randomized A/B testing similar to traditional pricing experiments conducted by retailers.

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