AI agents promise to lower consumer costs, but history suggests they may do the opposite. Bloomberg's Odd Lots podcast features Lindsay Owens, author of "Gouged," who argues that consumer-facing agents often end up charging more after learning about users' financial situations. Owens details how companies have long used data collection and surveillance to justify higher pricing, a practice that predates AI.
The discussion explores the transition from pre-AI pricing strategies to current algorithmic approaches, questioning whether technology will truly benefit shoppers or merely optimize profit margins. With inflation and corporate profits driving price surges, the legitimacy of "fair price" claims remains dubious. Owens' work examines the historical erosion of pricing fairness, suggesting that increased data transparency may not lead to lower costs for the average consumer.
The conversation highlights a critical inflection point where emerging technology meets established profit-driven pricing models.
Source: Bloomberg Markets · Summarized by HeadlinesBriefing