Gas stations are using AI to inflate prices, new lawsuit alleges

2026-03-02 · Source: Welcome to the Artificial Intelligence Incident Database · Field: Legal & Regulatory — Compliance & Risk Management, Regulatory Affairs & Government Relations · Depth: Novice, short

Summary

A new federal class action lawsuit alleges that over 1,700 gas stations in California, including those owned by Marathon Petroleum, 7-Eleven, Walmart, and Circle K, are engaged in an illegal price-fixing conspiracy using Kalibrate Fuel Pricing, an AI-powered platform. The lawsuit claims Kalibrate's software, which connects directly to gas station signs and pumps, enables stations to coordinate price hikes and avoid competition, leading to consumers paying 6 cents to 30 cents more per gallon. This translates to a \$134 million annual drain from California drivers' wallets for every single cent increase. Kalibrate's marketing materials reportedly encourage "restorations" – market-wide price increases – and warn against "a race to the bottom," promising "complete visibility on your competitors" and increased profits, even with a 2.2% sales volume decrease. The lawsuit is based on California's AB 325, effective January 1, 2026, which prohibits using common pricing algorithms that influence prices using competitor data, a law enacted partly in response to similar allegations against RealPage in the rental housing market.

Key takeaway

For legal professionals and policymakers evaluating antitrust risks in AI-driven markets, this lawsuit highlights the critical need to scrutinize algorithmic pricing tools. Your organization should assess whether its use of AI for pricing could be interpreted as facilitating illegal collusion, especially if it relies on competitor data or encourages coordinated price "restorations." Proactively review compliance with evolving antitrust laws like California's AB 325 to mitigate significant legal and reputational exposure.

Key insights

AI pricing algorithms can facilitate illegal price coordination, challenging traditional antitrust enforcement by automating anti-competitive practices.

Principles

• Algorithmic pricing can mimic illegal collusion.
• Antitrust laws are adapting to AI-driven markets.
• Competitor data sharing can enable price fixing.

Method

Kalibrate Fuel Pricing connects to gas station signs and pumps, using competitor data to recommend and set prices. It enables coordinated market-wide price "restorations" to avoid competition and increase profits.

In practice

• AI can increase profits despite lower sales volume.
• Software can automate competitor price monitoring.
• Algorithms can initiate market-wide price hikes.

Topics

• Algorithmic Pricing
• Antitrust Law
• Price Fixing
• AI Software
• California AB 325
• Kalibrate Fuel Pricing

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