Letitia James Pushes Albany to Outlaw Personalized Pricing Algorithms Targeting New Yorkers’ Wallets

As algorithmic pricing quietly permeates New York’s supermarkets and online checkouts, state leaders are testing whether legislation can restrain data-driven price discrimination before it transforms daily commerce.

New Yorkers expecting a deal may in fact be the deal. In the city’s crowded grocery aisles and on glowing smartphone screens, the price of a carton of eggs or a pint of ice cream may now hinge less on the forces of supply and demand and more on the quirkier calculus of how long one hesitates on a product, or whether payday is near. Last week, New York Attorney General Letitia James and a phalanx of state legislators pulled back the digital curtain, championing a legislative duo dubbed the “One Fair Price Package” to bring algorithmic, or “surveillance”, pricing to heel.

The initiative, fronted by Ms James and legislators including Senator Rachel May and Assemblymember Emérita Torres, aims to outlaw the use of consumers’ personal data to set individualized prices on everyday goods. The effort comes after revelations that some supermarkets and digital marketplaces are quietly deploying sophisticated algorithms to tweak prices for each shopper—scrutinizing everything from browsing patterns to earning cycles.

The proposals are twofold. The One Fair Price Act would broadly prohibit the use of personal data for tailoring prices, while the Protecting Consumers and Jobs from Discriminatory Pricing Act would apply the same prohibition specifically to groceries and pharmacies. The aim: when New Yorkers try to buy breakfast cereal, they should not pay more simply because a corporate computer has pegged them as an easy mark.

The scale of the problem is tricky to quantify, but a recent study cited by the attorney general’s office offers a telling glimpse. Across hundreds of online grocery transactions, 74% of items appeared at multiple prices, and some products popped up at as many as five distinct prices for different shoppers. The practice, already rampant online, may now be seeping into brick-and-mortar stores as well. Electronic shelf labels, once heralded for their efficiency, now permit rapid, even individualized, price changes—opening the door for a dystopian future in which one person’s gallon of milk costs more solely because they look like they can afford it.

For a city where the cost of living already gnaws at wallets, algorithmic pricing portends fresh anxieties. Public outrage against dynamic pricing is nothing new—think of ride-hailing apps’ notorious “surge pricing”—but food and pharmacy staples are another matter. Differential pricing for needs rather than luxuries risks not just pinching but antagonizing consumers, especially those on the wrong side of New York’s well-mapped wealth divides.

Supposedly, this brand of “personalized” capitalism is clever economics: data-driven price discrimination can, in theory, allow firms to tailor offers and expand sales. But in the wilds of real-life New York, the main effect appears to be camouflaged price hikes. There is little public appetite for a system that smells suspiciously of digital redlining, where tech-savvy companies squeeze out a few extra dollars from the distracted, disorganized, or simply unlucky.

Unions, too, see peril for workers. If groceries and pharmacies optimize prices for each customer in real time, cashiers and shelf-stackers are left dealing with ever-shifting customer ire and mounting confusion. Recurring tales abound of befuddled shoppers comparing receipts in the aisles, only to discover that their collective spending habits have, in fact, become the product.

If New York is unusually plagued by this practice, it is also typically ambitious in its response. Most American states have yet to grapple with algorithmic pricing outside of transport and ticketing. Even California, often the bellwether of digital regulation, has not ventured far into this territory. The European Union’s General Data Protection Regulation gives consumers some rights over how data is used, but individualized algorithmic pricing largely persists, albeit in a less aggressive fashion.

Legislating the digital price tag

Washington peers and regulators beyond the Atlantic will watch New York’s experiment keenly. Should the One Fair Price Package become law, the state would become the first in America to ban such use of personal data for pricing, potentially setting a precedent for embattled consumers from San Francisco to Dallas. Enforcement, as ever, will be the challenge: the algorithms in question are as opaque as they are clever, and tracing discriminatory pricing to specific data points will require both technical expertise and regulatory muscle.

Some economists, of course, will grumble. Dynamic pricing, they note, is as old as the bazaar, and price discrimination—provided it falls short of outright unlawful bias—can sharpen market efficiency. Still, this presumes transparency and negotiation, not digital shadowboxing where only the seller holds the cards. Algorithmic opacity and the sheer scale on which it can be imposed act as force multipliers for consumer confusion.

There are legitimate concerns, too, that blanket prohibitions on dynamic pricing may dampen innovation or yield new forms of price obfuscation. Resourceful companies, denied ready access to personal data, might instead cluster customers into ever-narrower “anonymized” segments, evading both the letter and arguably the spirit of new laws. Yet, few New Yorkers pining for lower grocery bills will shed tears for merchants no longer able to sniff out their payday and serve up costlier cornflakes accordingly.

Ultimately, the wrangle over surveillance pricing is a foretaste of broader battles over how personal data is wielded in the new economy. New Yorkers are by now inured to being sold to, but not necessarily to being sold out—especially by the invisible hand of algorithms working overtime to divine the upper limits of their tolerance. Equitable commerce demands rules that let shoppers compare, not compute, prices.

Opaque pricing always breeds resentment and saps faith in markets. The One Fair Price Package is an imperfect but sensible counterweight, balancing the risk of digital overreach with New Yorkers’ penchant for straightforward transactions. A bit more honesty in the price tag—algorithmic or otherwise—would be welcome not just in New York, but everywhere market forces threaten to become unrecognisable behind a digital veil. ■