Three states this year became the first ones to enact laws restricting companies from using personal data such as browsing history or shopping habits to set individualized prices on goods and services...

In June 2025, the Bureau published a discussion paper on algorithmic pricing and competition for public consultation. The purpose of the consultation was to strengthen the Bureau’s understanding of al...

Three Democratic senators have pressed Delta Air Lines CEO Ed Bastian to answer questions about the airline's planned use of artificial intelligence to set ticket prices, raising concerns about the impact on travelers.

The Rockville City Council voted unanimously this week to join California, New York and Connecticut and became the first city in Maryland to ban the use of AI technology in setting rent costs.

Academic research analysis of 1.5 million trips shows decreased pay and increased platform cuts after dynamic pricing implementation.

Academic research analysis of 1.5 million trips shows decreased pay and increased platform cuts after dynamic pricing implementation.

On May 9, New York Governor Kathy Hochul signed the New York Algorithmic Pricing Disclosure Act into law as part of the state budget. Beginning July 8,

Council members propose urgent action to ban algorithmic rent pricing impacting Seattle renters.

  Despite the increasing acceptance of algorithmic pricing systems in today's retail ecosystem, Maryland has taken action to establish the first statewide legal ban on grocery pricing that incorporates consumer surveillance data.  Upon signing House Bill 895 into law on April 28, 2026, Governor Wes Moore introduced a regulatory framework to restrict the use of personal data by food retailers and third-party delivery platforms to influence consumer costs by establishing a regulatory framework.  The Act is formally titled the Protection From Predatory Pricing Act. Specifically, this legislation addresses the use of artificial intelligence-driven pricing engines and behavioral analytics that may adjust prices according to factors such as purchase history, browser activity, geographical location, and demographic traits.  The law, framed by state officials as an effective consumer protection measure against profit optimization powered by data, prohibits large food retailers, qualified delivery service providers, and others operating stores over 15,000 square feet from imposing higher prices on consumers based upon individual data signals. Supporters see the measure as a significant step in responding to the increasing commercialization of consumer data, but critics claim that the measure’s limited scope and enforcement structures may significantly erode its practical significance. The Maryland approach is being closely examined as a possible template for pricing regulation in the future by policymakers and industry stakeholders throughout the United States. The debate is centered on the increasing use of surveillance-based dynamic pricing systems that continuously adjust product costs based on an analysis of the consumer’s digital footprint as well as their purchasing patterns, geographic location, and demographics. These models may result in completely different prices for the same grocery item if two shoppers purchase the item within minutes of each other. The results are determined by algorithms that analyze shoppers' perceived purchase tolerance. A consumer advocate or competition analyst contends that such practices shift pricing strategy away from traditional market factors and toward individualised revenue extraction, enabling businesses to identify and charge the highest amount that a specific customer is statistically most likely to accept.  In spite of Maryland's legislation being specifically tailored to the grocery sector, federal regulators, such as the Federal Trade Commission, have identified similar pricing mechanisms across retail categories including apparel, cosmetics, home improvement products, and consumer goods previously.  Several advocacy groups claim that the impact of price volatility is even more significant within the food retail industry, where pricing volatility directly impacts household affordability and access to essentials. In the wake of committee-level debates regarding enforcement language and consumer protection standards, the legislation quickly gained momentum, culminating in Senate approval on March 23, 2026, followed by final House concurrence after several weeks of sustained lobbying by the industry.  By passing HB 895 on April 28, Governor Wes Moore established Maryland as the first state to pass legislation prohibiting discriminatory surveillance-driven grocery pricing practices. As the state's Attorney General prepares interpretive guidance later this summer, retailers and third-party delivery platforms will have a limited five-month compliance window to comply with the statute, which is scheduled to take effect on October 1, 2026.  While the legislation has received broad bipartisan support, the accelerated legislative process has left unresolved compliance and evidentiary questions that industry stakeholders are now seeking to clarify. In Maryland, enforcement authority is primarily delegated to the Maryland Consumer Protection Division and the Attorney General, where violations can be prosecuted as unfair and deceptive trade practices subject to civil penalties of up to $10,000 per violation, with repeat offenses subject to double fines.  Furthermore, the law provides that individuals may be subject to misdemeanor penalties, including imprisonment for up to a year and a fine of up to $1,000 for committing a misdemeanor. The law will also provide businesses accused of violations with 45 days to remedy the alleged misconduct prior to formal enforcement, which critics claim could substantially lessen its deterrent effect.  Due to the narrowly limited rights to sue outside of limited labor-related circumstances, early legal interpretations are anticipated to be primarily determined by state-led enforcement actions which identify whether algorithmic pricing decisions are based on protected categories of personal information. Regulatory specialists anticipate that the forthcoming guidance will clarify the evidence standards necessary to establish data-driven pricing manipulation, particularly when such manipulation involves opaque artificial intelligence systems and automated pricing engines. For retailers with mature compliance programs, financial penalties are likely to remain manageable. However, legal observers observe that reputational damage, regulatory scrutiny, and the erosion of consumer trust may ultimately prove more consequential than statutory fines.  Labor unions, consumer advocacy organizations, and analysts of digital rights have increased the debate over Maryland's surveillance pricing law by arguing that the legislation has significant operational gaps retailers could potentially exploit by utilizing sophisticated pricing strategies. Public awareness campaigns have already been launched by United Food and Commercial Workers International Union, including a 30-second advertisement in which algorithmic pricing systems are illustrated as a possible way to reshape grocery shopping based on predictions of consumer behavior. The advocacy groups maintain that despite the statute's significant legal precedent, the exemptions and enforcement structure may ultimately permit the continuation of many forms of data-driven price discrimination. Before the bill was enacted, Consumer Reports researchers had warned lawmakers about the bill's weaknesses, arguing that it lacks a clear baseline price standard against which discriminatory pricing could be measured. Policy analysts have suggested that this omission creates a situation where nearly any fluctuating price could be viewed as a promotional discount instead of a targeted surcharge. Additionally, criticism has focused on the law's narrow restrictions against individualized pricing while allowing hyper-segmented pricing models to segment consumers into highly specific groups based on demographics or behavioral characteristics. There has been a growing consensus among consumer advocates that pricing strategies that target narrowly defined groups of consumers such as elderly individuals living alone in restricted retail markets - can result in similar outcomes to direct targeting of individual consumers.  The broad exemptions granted to loyalty programs, membership pricing structures, subscription-based purchases, and recurring service models are also being criticized as providing retailers with alternative mechanisms for deploying surveillance-based pricing systems that would not technically violate the law.  Maryland's legislation has sparked widespread national interest as at least a dozen states are considering similar restrictions on algorithmic price personalization practices, including New York, New Jersey and Illinois. According to consumer rights advocates, the Maryland experience is an early example of a regulatory stress test that may provide guidance for how future state legislatures will address the intersection of artificial intelligence, behavioral analytics, and retail pricing governance in the future.  Some critics of the current framework, such as consumer advocate Oyefeso, contend that it risk legitimizing more extensive surveillance-based pricing practices by implying to retailers that some forms of algorithmic personalization remain legal. Supporters of stronger reforms, however, believe the legislation may be revisited in subsequent sessions as lawmakers grapple with the practical realities of enforcing transparency and accountability in increasingly opaque AI-driven pricing environments.  Regulating surveillance pricing in Maryland marks a significant shift in the broader debate about how artificial intelligence, consumer data, and algorithmic commerce should be regulated in essential retail markets. It is argued that the law's exemptions, cure periods, and enforcement limitations may reduce the law's effectiveness immediately; however, the legislation has already set a national standard by requiring policymakers, retailers, and technology companies to consider the ethical and regulatory implications of data-driven price personalization.  Maryland's framework may serve as both a cautionary example and a basis for future policies relating to the protection of consumers from algorithmic pricing as more states consider similar measures and consumer scrutiny over algorithmic pricing increases.  A growing number of grocery retailers and delivery platforms have become aware that pricing systems that use behavioral analytics and artificial intelligence will no longer be exempt from regulatory oversight, particularly when affordability, transparency, and public trust are at stake.

New law prohibits landlords from using algorithms for price coordination in rental housing

Edith Pritchett cartoon on grocery shopping and dynamic pricing.

The subcommittee considered SB 585 (rental‑market algorithmic pricing transparency) and its substitute, which would require landlords using algorithmic pricing devices to disclose that fact and allow human review; due to definitional concerns and cross-cutting housing issues, the committee voted to pass by indefinitely and send the bill to the Housing Commission for further work.