Casar and Tlaib Target AI-Driven Price Gouging and Wage Suppression

The proposed legislation challenges the growing practice of surveillance-based pricing, where firms leverage granular data—ranging from geolocation and browsing habits to physical mouse movements—to extract the maximum possible payment from customers. Casar, a Texas Democrat, argues that corporations are increasingly exploiting personal intelligence to inflate costs and undercut worker pay, describing the trend as a potential crisis that requires immediate congressional intervention.

Evidence of these practices spans multiple sectors. Delta Airlines recently unveiled an AI-driven model designed to optimize ticket pricing based on individual willingness to pay, while companies like Kroger and Walmart have implemented dynamic digital price tags. Beyond retail, the Roosevelt Institute revealed that algorithms are now used to assign nursing shifts based on the lowest acceptable pay, mirroring tactics long prevalent in the gig economy. The bill would still permit standard loyalty programs and legitimate cost-of-living adjustments, focusing instead on banning the use of invasive surveillance to exploit desperation. Public Citizen, a consumer advocacy group, endorsed the measure, stating it draws a necessary line against practices that deepen inequality and strip workers of their dignity.