I’ve developed a chronic twitch every time I hit “checkout” online. It’s that nagging suspicion that the person in the digital checkout line next to me—or even the one who logged on ten minutes ago—is paying less for the exact same items. It’s a feeling of being outmaneuvered by the system, a system that seems engineered to extract every last dollar from my wallet. The coupons I find are always subpar, the prices in my cart seem to have a mind of their own, and my carefully planned budget is constantly under siege. It feels less like shopping and more like a game of financial whack-a-mole where I’m always the loser.
This deeply relatable frustration is the beating heart of Lindsay Owens’ new book, Gouged: The End of a Fair Price and What That Means for Your Wallet. Owens isn’t just an academic theorist; she’s a battle-tested advocate for economic fairness, having served as an economic policy adviser in Senator Elizabeth Warren’s office and now leading the Groundwork Collaborative, a DC-based think tank that acts as a corporate watchdog. She understands the mechanics of how the economy screws over the average person. In her book, she dissects the monumental shift away from the simple, transparent pricing that we once took for granted. In a recent conversation, she illuminated the invisible mechanisms driving this change, and offered a glimmer of hope for consumers who want to fight back in an era of algorithmic exploitation.
To understand how we got here, Owens points out that the concept of a fixed, fair price is a relatively modern invention. For roughly 150 years, since John Wanamaker slapped his historic price tag on a product in his Philadelphia department store, we’ve operated under a social contract: the price you see is the price you pay. We treated this norm as an unbreakable law of commerce, but as Owens explains, it was merely a convenient convention. That convention is now being systematically dismantled, and the primary wrecking ball is technology. While the urge to overcharge is as old as commerce itself, new technologies have supercharged this impulse into an exact science. Big tech has reinvented the rip-off, giving corporations the tools to squeeze the maximum possible profit out of nearly every transaction. This isn’t just about inflation or supply chain issues; it’s about a fundamental and deliberate restructuring of how sellers determine what we, as individuals, will pay.
One of the key instruments in this new toolkit is the loyalty app, which Owens identifies as a front for sophisticated data harvesting. We all have a vague sense that we’re trading our personal information for a few cents off, but the bargain is far more one-sided than we realize. Owens cites a chilling warning from 2004, when economist Curtis Taylor predicted that as loyalty programs became more technologically advanced, companies would use the records of our past purchases to identify their most enthusiastic customers and then charge them more. The prediction, crystallized in her conversation, is that we are literally paying a price for our loyalty. To illustrate the depth of this tracking, she shares her own eye-opening experience: when she requested her personal data from McDonald’s app, she received a 515-page dossier that predicted with near certainty that she would never stop being a customer. This isn’t a reward system; it’s a sophisticated profiling operation designed to gauge your desperation and predict your future behavior, allowing the company to price accordingly.
This data collection fuels the central villain of the book: surveillance pricing. Owens defines it as a high-tech intersection of two things Americans absolutely detest—being spied on and being ripped off. Unlike traditional pricing strategies that adjust based on broad market trends or demographic groups, surveillance pricing is intensely personal. It operates on what economists call “first-degree price discrimination.” The company uses a treasure trove of data collected about you—your location, your purchase history, your device, the amount of time you spend deliberating—to estimate your personal willingness to pay. And crucial to Owens’ argument, willingness to pay is not the same as ability to pay. A frantic parent ordering Tylenol in the middle of the night for a sick child isn’t in a position to comparison shop. They are “willing” to pay almost anything. The algorithm sees this need and prices the product accordingly, capitalizing on urgency and emotional distress.
The implications of this extend far beyond the fast-food app in your phone. Loyalty programs are just one component of a vast surveillance ecosystem that fuels everything from airline ticket prices to grocery store goods to hotel rates. It manifests in the frustrating reality of “dynamic pricing,” where a box of cereal might cost $4.50 in the morning and $6.00 by evening. It explains why you can search for an item on your phone and suddenly see its price jump. The frontier of this technology, however, is even more unnerving. Owens warns that generative AI could turbocharge these existing problems. The current algorithms are analytical, using your past data to predict your behavior. But AI is generative and predictive—it can create a more complete psychological profile of you based on your digital footprint, anticipate future needs, and even simulate how different price points would affect you emotionally. It can test thousands of pricing scenarios in an instant to find the one that maximizes profit without pushing you over the edge to abandon your cart. This proactive, deeply personal pricing creates a world where a “fair” price is not just a thing of the past; it becomes a concept that is algorithmically impossible.
So, in a world where the price on the shelf is an illusion, what is a consumer to do? Owens offers a few crucial pieces of advice for those seeking to claw back a modicum of fairness. First, she suggests we must be radically aware of the game being played. Recognizing that an “app-only” deal isn’t a gift but a payment in kind for your data is a necessary first step. She recommends dismantling the power of your digital identity: regularly clear your cookies, use different devices for different types of searches (perhaps your computer for anonymous research and your phone for pointless browsing), and most importantly, diversify your digital life. But perhaps her most potent suggestion is to use our collective power to fight back. Since the system is built on our data, we must push for legislation that gives us control over it. We need rules that recognize surveillance pricing not as a clever business model, but as a feed of predatory pricing. We need to demand policy changes that protect consumers and dismantle the infrastructure of price discrimination, moving beyond the idea that simply clicking a button is all we can do.
Ultimately, Owens’ book is a call to arms. It’s a reminder that the feeling of being overcharged is not paranoia; it’s a carefully engineered outcome of a system designed to know us better than we know ourselves. We have been lulled into a sense of convenience, handing over our personal agency one loyalty point at a time. But by understanding the mechanics of how we’re being “gouged,” we can begin to fight back, both as individuals in our daily choices and, more importantly, as citizens demanding a fairer marketplace. We may not be able to return to the simple fixed price of John Wanamaker’s day, but we can certainly demand better than the current reality of being a target for algorithmic extraction.
