MN bills target AI 'surveillance pricing' at grocers, retailers
DFL lawmakers at the Minnesota Capitol are pushing two new bills that would ban "surveillance pricing"—AI tools that track individual shoppers and quietly charge them different prices for the same items—first in grocery stores and then across other businesses. The move follows FOX 9’s own test of the Cub Foods app, which found a frequent shopper in Minnesota was quoted higher prices on soy sauce, eggs and orange juice than an infrequent shopper at the same store, raising concerns that loyal Twin Cities customers are being penalized for their habits. Bill author Rep. Carlie Kotyza-Witthuhn (DFL–Eden Prairie) says legislators need to "set the framework" before corporations race ahead of regulation, while Rep. Andy Smith (DFL–Rochester) argues most Minnesotans will see such hidden price gaps as fundamentally unfair. Tech‑industry group Chamber of Progress counters there’s still no comprehensive evidence of systematic harm from personalized pricing, setting up an inevitable fight at committee between consumer‑protection advocates and companies that have invested heavily in dynamic pricing systems. For metro residents already squeezed by groceries and rent, the story is touching a nerve online: social feeds are full of shoppers swapping screenshots and warning that the old price tag is no longer a guarantee everyone in the aisle is paying the same thing.
📌 Key Facts
- Two DFL bills have been introduced: one aimed specifically at banning AI 'surveillance pricing' in grocery stores, the other extending the ban to other businesses.
- FOX 9’s test of the Cub Foods app in Minnesota showed a frequent shopper was offered higher prices for soy sauce, eggs and orange juice than an infrequent shopper at the same store.
- Supporters like Rep. Carlie Kotyza-Witthuhn and Rep. Andy Smith say personalized pricing offends Minnesotans’ basic sense of fairness, while Chamber of Progress argues there is no comprehensive proof of systematic consumer harm yet.
📊 Relevant Data
The FTC's surveillance pricing study indicates that firms use a wide range of personal data, including location, purchase history, and demographics, to set individualized prices for consumers.
FTC Surveillance Pricing Study Indicates Wide Range of Personal Data Used to Set Individualized Consumer Prices — Federal Trade Commission
A Yale study found that personalized pricing increased profits for airlines by 4-5%, with similar implications for retail sectors using surveillance pricing.
Surveillance Price Gouging — Consumer Watchdog
Instacart's AI-enabled pricing experiments may be inflating grocery bills for some customers, with prices varying based on algorithmic determinations.
Exclusive: Instacart's AI Pricing May Be Inflating Your Grocery Bill — Consumer Reports
Retailers analyze consumer demographics including income and race to implement AI-driven dynamic pricing, potentially leading to disparities in pricing.
How AI Surveillance and Dynamic Pricing Are Transforming Retail — LinkedIn
Less than 20% of US adults across all age demographics will purchase a product as planned if they encounter dynamic pricing.
Most adults won't buy a product if it's dynamically priced — eMarketer
📰 Source Timeline (1)
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