A class-action lawsuit filed in California accuses a group of major fuel retailers — including 7-Eleven, Circle K, BP, Marathon Petroleum, Walmart and Albertsons — of using artificial-intelligence pricing software to illegally inflate gasoline prices. The complaint, brought by several California residents, alleges that the retailers relied on a shared algorithmic tool from pricing specialist Kalibrate to coordinate what they charged at the pump rather than competing independently. For more on how algorithms are reshaping markets, follow our latest AI news.

The case turns a spotlight on a question that regulators and courts are only beginning to confront: when multiple competitors adopt the same AI system to set prices, does the software become a vehicle for collusion? California's lawmakers have already answered that question for their state, and the plaintiffs say the retailers' conduct directly violates the law.

How the Algorithmic Pricing Worked

At the center of the dispute is Kalibrate's fuel-pricing technology. According to the lawsuit, the system evaluates pricing at each gas station and recommends "optimal" price points designed to balance profit margin against sales volume. Kalibrate's software can then automatically push those recommended changes to the pumps and to the retailers' roadside price signs.

The problem, the plaintiffs argue, is structural. When several competing chains in the same region all feed their data into the same algorithm and then act on the same recommendations, the result is coordinated pricing without any executive ever picking up the phone. The complaint contends that this lets direct competitors align their prices through a third party rather than through open competition — conduct the plaintiffs describe as price-fixing by software.

The Alleged Impact on Drivers

The lawsuit quantifies the harm it says California drivers have suffered. In areas where fuel retailers use Kalibrate's technology, the mean gasoline price is roughly six cents higher per gallon, according to the complaint. In regions where a high percentage of stations rely on the system, prices have risen by as much as 30 cents per gallon, the plaintiffs allege.

Across roughly 1,700 affected stations, those fractions add up to a substantial sum paid by consumers, the suit claims. California already posts some of the highest fuel prices in the United States, a fact that has long drawn political scrutiny and that gives the allegations particular resonance with state regulators and lawmakers.

A Direct Violation of California Law

The complaint is grounded in a specific state statute: Assembly Bill 325, which prohibits businesses from using shared pricing algorithms to coordinate prices with competitors. Passed to close what legislators saw as an emerging loophole in antitrust enforcement, the law treats algorithmic coordination as the legal equivalent of a back-room agreement among rivals.

By invoking AB 325, the plaintiffs are testing one of the first major applications of legislation written explicitly for the age of AI-driven pricing. Legal analysts have noted that the outcome could set an important precedent for how courts interpret algorithmic collusion, an area where traditional antitrust doctrine — built around evidence of explicit communication between competitors — has struggled to keep pace with technology.

The Defendants and Their Responses

The roster of defendants extends well beyond convenience-store chains. Besides 7-Eleven, Circle K, EG America (which now operates under the Cumberland Farms banner) and BP, the complaint names Marathon Petroleum, Walmart and Albertsons, along with ten additional unidentified fuel retailers operating in California. Although many of the sued companies operate through franchised locations, the lawsuit asserts that the parent corporations maintain "pervasive direct and indirect control" over store-level pricing decisions.

Responses from the defendants have so far been limited. A Walmart spokesperson said the company was "reviewing the complaint and will respond appropriately to the Court." Cumberland Farms declined to comment. The other named retailers had not publicly responded by the time the first reports were published.

The Broader Crackdown on Algorithmic Pricing

The California case is part of a wider wave of legal and regulatory action aimed at algorithmic pricing. US antitrust enforcers and state attorneys general have increasingly scrutinized software that aggregates competitors' data to generate pricing recommendations, arguing that such tools can produce the same anti-competitive outcomes as overt collusion — while being far harder to detect.

Real-estate rental platforms and hotel booking services have faced similar allegations in recent years, and regulators have signaled that fuel retailers are unlikely to be the last industry examined. The Kalibrate lawsuit illustrates a core tension in the debate: retailers argue that data-driven pricing simply helps them run efficient, responsive businesses, while critics contend that when everyone uses the same black box, the competitive pressure that keeps prices in check disappears.

For the fuel industry specifically, the technology is widely deployed. Kalibrate and similar providers pitch their tools as a way to optimize margins in a low-profit, high-volume business, and adoption has been substantial across North America. The lawsuit's claim that roughly 1,700 California stations rely on the system underscores how concentrated the market for pricing software has become.

What Comes Next

The case now moves into its early procedural stages, where the defendants are expected to challenge the plaintiffs' standing and the legal theory behind the AB 325 claim. A central question will be whether the court accepts the argument that using a common algorithm amounts to an agreement among competitors — or whether it treats each retailer's pricing decisions as independent, even when informed by the same software.

Whatever the outcome, the lawsuit has already amplified a debate that extends well beyond California's gas pumps. As AI systems take on more decisions once made by humans — from what to charge to whom to hire to how much to lend — the legal system is being forced to define where efficiency ends and collusion begins.

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