This deep dive explores the controversial rise of AI "surveillance pricing," a practice where retailers use personal consumer data, such as location, purchase history, and browsing behavior, to set individualized prices for the same products.
A prime example is the grocery delivery platform Instacart, which faced intense backlash and a $60 million Federal Trade Commission (FTC) settlement after investigations revealed its AI pricing tools were charging different shoppers up to 23% more for identical items at the exact same time.
As scrutiny mounts against online platforms, traditional brick-and-mortar retailers are rapidly adopting Electronic Shelf Labels (ESLs) to digitize their pricing.
While grocers tout ESLs as a way to improve operational efficiency, ensure price accuracy, and reduce labor costs, consumer advocates and lawmakers warn that these digital tags could bring the same dynamic, data-driven surge pricing to physical grocery aisles, prompting a wave of new legislative efforts to ban or heavily regulate the technology
