A group of California drivers has filed a proposed class-action lawsuit accusing several major gas station operators of allegedly using artificial intelligence technology to raise fuel prices and reduce competition at the pump.
The lawsuit, filed in federal court in Sacramento, names companies including BP, Circle K, Marathon, 7-Eleven, Walmart and Albertsons, along with pricing technology firm Kalibrate. The drivers claim the companies relied on an AI-based pricing tool that allegedly used data from competing gas stations to help coordinate higher gasoline prices across parts of California.
According to the complaint, the alleged conduct violated California’s Cartwright Act, the state’s main antitrust law. The lawsuit also cites Assembly Bill 325, a California law that took effect on January 1 and was designed to address concerns over algorithmic price fixing.
The drivers allege that the use of AI pricing technology allowed competing gas stations to make pricing decisions in ways that reduced true market competition. The complaint argues that instead of stations independently setting prices based on their own costs, customer demand and local conditions, the operators allegedly participated in a system that helped keep prices artificially high.
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The lawsuit claims gasoline prices rose by as much as 30 cents per gallon in areas where a high percentage of stations used the AI pricing tool. The complaint further argues that even a one-cent increase in gasoline prices can cost California drivers roughly $134 million per year, making small price changes highly significant for consumers across the state.
California already has some of the highest fuel prices in the United States, and the lawsuit points to regular gasoline prices that have, at times, reached levels far above the national average. The drivers argue that the alleged pricing system worsened that burden for families, workers and commuters who depend on their vehicles daily.
The complaint frames the issue as part of a broader concern about how artificial intelligence and algorithmic tools may affect consumer prices. While businesses often use data software to track market trends, the lawsuit claims the technology in this case allegedly crossed the line by helping competitors align prices rather than compete against one another.
The gas station operators named in the lawsuit collectively run more than 1,700 stations in California, according to the complaint. Kalibrate, the company behind the pricing tool, is also named as a defendant.
The lawsuit seeks unspecified damages on behalf of drivers who allegedly paid more for gasoline because of the pricing system. The defendants have either declined to comment or did not immediately respond to requests for comment, according to the report.
The case could become an important test of how courts interpret AI-driven pricing tools under antitrust laws. As more companies use automated systems to make pricing decisions, regulators and consumers are increasingly questioning whether those tools can create unfair results even when companies do not directly communicate with one another.
For now, the claims remain allegations. The companies have not been found liable, and the lawsuit will need to move through the legal process before any court determines whether the pricing practices violated state or federal law.
Why It Matters
The case highlights growing concerns over the role of artificial intelligence in everyday pricing decisions. Gasoline is a basic expense for millions of drivers, and even small increases can have a large impact on household budgets. If the lawsuit succeeds, it could encourage more scrutiny of AI pricing tools used in other industries, including groceries, housing, travel and retail.
What Comes Next
The lawsuit will proceed through federal court, where the defendants are expected to respond to the allegations. The court will also need to decide whether the case can move forward as a class action. If it does, the outcome could shape how California and other states regulate algorithmic pricing systems in the future.
