AI is helping gas stations collude to raise California fuel prices, lawsuit says

· Source: Welcome to the Artificial Intelligence Incident Database · Field: Legal & Regulatory — Litigation & Dispute Resolution, Compliance & Risk Management, Regulatory Affairs & Government Relations · Depth: Fundamental Awareness, quick

Summary

A federal class action lawsuit, filed Monday, accuses major gas station operators in California, including Marathon and Circle K, of illegally colluding to inflate fuel prices using Kalibrate, an AI-powered pricing software. The lawsuit alleges Kalibrate acts as a "central nervous system" for a conspiracy, coordinating high prices and discouraging competitive pricing among its users globally across 70 countries. It claims the software facilitates cartel-like behavior, enabling stations to raise prices contemporaneously, with research suggesting average increases of 6 cents per gallon, potentially up to 30 cents in high-adoption markets. This alleged price fixing, impacting over 1,700 gas stations operated by defendants like BP, Speedway, Walmart, and Albertsons, could cost California drivers \$134 million annually for every one-cent increase. The suit seeks to represent California drivers who purchased gas from Kalibrate-using stations since June 2022, following similar antitrust actions against RealPage and Agri Stats.

Key takeaway

For legal professionals advising businesses on pricing strategies, this lawsuit highlights the increasing scrutiny on AI-powered pricing algorithms. You should review your clients' use of such software to ensure compliance with antitrust laws, especially regarding features that coordinate pricing or discourage competition. The precedent set by this and similar cases against RealPage and Agri Stats indicates a growing legal risk for companies relying on algorithms that could be perceived as facilitating collusion.

Key insights

AI-powered pricing software is being legally challenged for facilitating alleged price collusion among competitors.

Principles

Method

Kalibrate's method involves collecting competitively sensitive data, then coordinating high prices and discouraging competitive reductions among gas stations. It includes a "restoration" tool for synchronized price hikes.

In practice

Topics

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Editorial summary, takeaway, and curation by AIssential. Original article published by Welcome to the Artificial Intelligence Incident Database.