A.I., Crypto & Tech Stocks

Artificial intelligence is no longer limited to recommendation engines or chatbots. It is steadily moving into the everyday experience of buying food, from the supermarket aisle to the fast-food counter. Retailers and restaurant chains are using AI to manage inventory, reduce waste, and, increasingly, adjust prices in real time. For shoppers, this shift raises a practical question: will the prices you see become more personalized, harder to compare, and less transparent?

The technology is already visible. Electronic shelf labels (ESLs) that can change prices digitally are appearing in stores operated by Walmart, Kroger, Amazon Fresh, Whole Foods, Tesco, and others. These screens replace paper tags and allow retailers to update prices quickly across an entire store.

Kroger has also used AI tools such as FlashFood to discount perishable items approaching their expiration date and push those offers to shoppers through an app. In the fast-food sector, a recent federal antitrust lawsuit accused McDonald’s of using an AI-powered “pricing engine” to set menu prices across U.S. locations. The company has denied using AI to determine what individual customers are willing to pay, stating that it only provides franchisees with tools and recommendations.

Dynamic pricing itself is not new. Airlines, hotels, and ride-hailing services have long adjusted fares according to demand, time, and remaining capacity. What is changing is the volume and detail of data now available to retailers. AI systems can combine transaction histories, browsing behavior, location data, and purchasing patterns. Experts note that this blurs the traditional line between market-based dynamic pricing and true personalized pricing, where the price offered to one shopper differs from the price shown to another for the same product.

Bank of England economists have observed that more sophisticated pricing technology can lead firms to charge closer to each consumer’s maximum willingness to pay. When prices move frequently and differently for different people, the idea of a single “representative” price used in official inflation statistics becomes harder to maintain. Households may begin experiencing their own personal inflation rates that diverge from the published consumer price index.

Not every outcome is negative. Dynamic systems can lower prices on items that need to move quickly, potentially making certain products more affordable for budget-conscious shoppers. The concern lies in reduced transparency. When consumers cannot easily tell whether a price reflects general market conditions or their own data profile, comparing offers and switching suppliers becomes more difficult. The normal pressure of consumer choice weakens.

Several U.S. states have begun responding. New York requires businesses that use personal data to set prices to disclose the practice. Maryland has restricted personalized, data-driven pricing for certain food items, and other states have introduced measures aimed at “surveillance pricing.”

Compare prices across channels and stores. Digital price tags and app-based offers make it easier for retailers to present different prices in different places. Check the in-store shelf price against the same retailer’s app or website, and against a competing store, before buying high-volume items.

Limit unnecessary data sharing. Many loyalty programs and shopping apps collect detailed purchase histories in exchange for discounts. Review privacy settings, turn off location tracking when not needed, and consider whether the savings justify the data you provide.

Watch for last-minute changes. Electronic labels can update prices throughout the day. If you notice a price that seems unusually high or has shifted since you last checked, ask a store employee or use the self-checkout scan to confirm the final amount before paying.

Use competition as leverage. When multiple retailers serve the same area, the ability to walk away remains one of the strongest protections. Keep a short mental list of alternative stores or delivery options for staples so you are less locked into a single pricing environment.

Track your own spending patterns. Personalized pricing works best when retailers know your habits. Reviewing your own receipts or bank statements periodically can help you spot whether certain items consistently cost more at particular times or locations.

AI-driven pricing tools are still evolving, and most major chains publicly state they are not currently setting individualized prices based on personal willingness to pay. The technology, however, is making that capability more practical. Shoppers who stay aware of how prices are generated, protect their data where possible, and maintain the habit of comparison shopping will be better positioned to keep control of their food budgets as these systems spread.

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