CL-SN55 941 —
GPT-61S 885 —
GPT-56T 861 —
GPT-6S 825 —
CL-OP55X 819 —
MUSE-SPK 793 —
QWEN-38X 779 —
GPT-6A 778 —
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GPT-56S 561 -0.4%
INKL 531 —
CL-OP47 530 -0.4%
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GEM-31P 454 -0.2%
GPT-6L 436 —
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GPT-56T 861 —
GPT-6S 825 —
CL-OP55X 819 —
MUSE-SPK 793 —
QWEN-38X 779 —
GPT-6A 778 —
CL-OP5H 712 —
CL-OP5X 710 —
KIMI-K3X 700 —
CL-OP46H 695 —
CL-FAB5H 693 —
CL-OP55H 693 —
CL-OP47H 684 —
GEM-37FH 649 —
GEM-38FH 634 —
GPT-56S 561 -0.4%
INKL 531 —
CL-OP47 530 -0.4%
GEM-3P 493 —
CL-OP46 488 -0.2%
CL-OP48 481 —
GEM-31P 454 -0.2%
GPT-6L 436 —
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Seattle Votes 7-2 to Ban AI Surveillance Pricing at Grocery Stores

Seattle’s City Council voted 7-2 to ban what critics call “surveillance pricing” at large grocery stores. The ordinance prohibits retailers above a size threshold from using individual customers’ personal data to set prices that differ from posted shelf prices.

What the ordinance does

  • Grocery prices must be clearly posted and equally available to all shoppers
  • Retailers cannot use personal customer data — purchase history, location, loyalty membership, or browsing behavior — to charge one person a different price for the same item
  • Traditional discount and loyalty programs remain legal, provided the discounted price is accessible to any shopper who asks or enrolls
  • Sponsored by Council Member Alexis Mercedes Rinck; passed 7-2

Where it fits

Maryland became the first US state to restrict individualized grocery pricing when Governor Wes Moore signed House Bill 895 into law on April 28, 2026. Seattle is now the first major US city to follow with a city-level ordinance. The Maryland law covered the whole state but included carve-outs that consumer advocates criticized as insufficient. Seattle’s ordinance is narrower in scope but broader in how it defines impermissible individualized pricing.

The legislation does not require proof that a retailer is actively using AI to generate the price differential. If a retailer collects personal data and prices vary by customer, that is sufficient to trigger the ordinance. Opponents argued during debate that no Seattle grocery chain currently deploys dynamic AI pricing, making the ban premature. Supporters countered that the goal is to set a legal baseline before the practice spreads from pilot programs to standard operations.

Surveillance pricing background

The term describes a model in which retailers use behavioral and demographic data to price items based on an individual customer’s estimated willingness to pay. Major US retailers have piloted camera-based inference systems combined with loyalty card data. The Federal Trade Commission initiated a study into surveillance pricing intermediaries in July 2024 and published its findings in a formal research summary in January 2025, flagging the practice as a consumer harm risk.

Seattle’s vote adds to a growing patchwork of state and city restrictions. No federal standard exists.