MARYLAND BANS AI-DRIVEN PRICE HIKES IN GROCERIES

Maryland's new restrictions on AI-driven pricing represent the first state-level attempt to regulate algorithmic price discrimination in grocery retail. The law prevents stores from using machine learning systems that track customer behavior—through loyalty programs, purchase history, or location data—to set personalized or location-specific prices. The legislation defines surveillance-based pricing as any system that uses personal information to calculate different prices for the same product. Violators face penalties under the state's consumer protection laws. Grocery chains have increasingly invested in dynamic pricing technology, similar to systems used by airlines and hotels. These algorithms can adjust prices by store location, time of day, or individual customer segments. Retailers argue the systems optimize inventory and reduce waste. Consumer advocates counter that such practices exploit shoppers with predictable purchasing patterns, particularly low-income households. The Maryland law exempts bulk discounts, loyalty program benefits applied equally, and time-based promotions available to all customers. Stores can continue using data for inventory management and supply chain optimization without triggering restrictions. The move follows growing scrutiny of AI pricing practices. Several other states have proposed similar restrictions, and the Federal Trade Commission has opened investigations into retailer pricing practices. Consumer groups have documented cases where identical products carry different prices based on shopper characteristics. Retail industry representatives say the law could limit their ability to compete and manage margins in a challenging economic environment. Some economists note that transparent dynamic pricing might actually benefit consumers through lower baseline prices, though concerns persist about unfair discrimination. The ban takes effect in 2027, giving retailers time to audit and modify systems. Maryland joins a handful of jurisdictions exploring AI regulation in consumer-facing industries, signaling broader momentum for algorithmic transparency and fairness requirements.