Sen. Josh Hawley (R-MO) accused major corporations of using artificial intelligence to inflate costs for consumers during a U.S. Senate Judiciary subcommittee hearing [1].
The allegations center on a practice Hawley called "AI surveillance pricing." This matter is significant because it suggests that personal data is being leveraged not just for marketing, but to determine the maximum price a specific individual is willing to pay for a service or product [1].
During the hearing, Hawley specifically named Kroger, Lyft, and Delta as companies engaging in these practices [1]. He said these firms collect vast amounts of personal information to facilitate this pricing model [1]. The data in question includes browsing history, location data, and shopping habits [1].
According to Hawley, this collection of data allows companies to monitor consumers and adjust prices in real time [1]. He said this practice threatens consumers by removing the transparency of standard pricing and replacing it with a system based on individual surveillance [1].
By analyzing a customer's digital footprint, the senator said companies can identify how desperate a traveler is for a flight or how likely a shopper is to pay more for a grocery item [1]. He said this behavior is a form of theft from the American public [1].
This hearing marks an escalation in the legislative scrutiny of how generative and predictive AI are integrated into the business models of non-tech companies [1]. While AI has been widely discussed in the context of automation, Hawley's focus shifts the conversation toward the financial impact of data-driven price discrimination [1].
“AI surveillance pricing”
This move signals a shift in regulatory focus from data privacy, the act of collecting information, to data utilization, specifically how AI can be used to erode consumer bargaining power. If the U.S. Senate pursues legislation against 'surveillance pricing,' it could force companies to decouple personal behavioral data from their pricing algorithms, potentially altering the revenue models of the travel, transport, and retail sectors.
