Artificial intelligence is changing how businesses set prices.
But a new lawsuit against McDonald’s raises an important legal question: Can companies use AI to recommend prices without violating antitrust laws?
On October 2, 2026, McDonald’s was sued in federal court in Illinois over allegations that its AI-powered pricing system illegally coordinates menu prices across independently owned restaurants.
The plaintiffs claim that McDonald’s uses nonpublic sales data to recommend prices to franchisees, potentially reducing competition and increasing costs for consumers.
McDonald’s denies the allegations, maintaining that franchisees make their own pricing decisions.
The case could have significant consequences for businesses using AI-powered pricing tools.
What Happened?
McDonald’s operates nearly 14,000 U.S. restaurants. Approximately 95% of these are independently owned by franchisees.
Although these locations share the same brand, franchisees generally set their own menu prices.
According to the lawsuit, McDonald’s uses an AI-powered system that analyzes transaction data and recommends prices to individual restaurants.
The plaintiffs argue that this allows competing franchisees to rely on shared, nonpublic information rather than making independent decisions. They also say that McDonald’s pressures restaurants to follow its recommendations.
McDonald’s disputes those claims, arguing that its technology merely provides suggestion rather than mandatory pricing.
The lawsuit seeks damages on behalf of consumers who allegedly paid higher prices because of this AI assisted guidance.
When Does AI Pricing Become Price-Fixing?
Using AI to recommend prices is not inherently illegal.
Businesses routinely use technology to analyze demand, evaluate market conditions and improve efficiency.
The concern arises when independently owned competitors use shared technology to coordinate prices.
Under federal antitrust law, agreements between competitors to fix prices can violate Section 1 of the Sherman Act.
Traditionally, price-fixing involves independent businesses directly agreeing on prices. AI introduces another possibility: competitors relying on the same private algorithm and confidential information to make pricing decisions.
However, using shared software does not automatically establish an unlawful agreement.
Courts must examine how the system operates, what information is exchanged and whether competitors are coordinating their decisions.
Why Does The Franchise Model Matter?
Franchise systems require coordination to maintain consistent branding, products and operations.
But independently owned franchisees may also compete with one another.
That distinction is central to the McDonald’s lawsuit.
The plaintiffs argue that the company’s pricing recommendations limit competition between restaurants that should operate independently. McDonald’s maintains that franchisees retain control over their prices.
For franchise businesses, the case raises questions about how much pricing guidance a franchisor can provide without creating antitrust concerns.
Similar lawsuits involving hotels and apartment rental companies have also challenged the use of shared pricing algorithms.
These disputes demonstrate that the legal boundaries surrounding AI pricing remain unsettled.
What Businesses Should Consider
AI pricing tools can improve efficiency, but companies should understand how those systems collect data and generate recommendations.
Businesses should consider whether competitors’ confidential information is shared, whether pricing decisions remain independent and whether vendor agreements create potential antitrust exposure.
A tool marketed as providing recommendations may still raise legal concerns if it facilitates unlawful coordination.
Romano Law advises businesses on franchising, regulatory compliance, and business disputes.
Companies using AI pricing technology should review their vendor agreements, evaluate antitrust risks, and establish appropriate compliance safeguards before implementation.
What Comes Next?
The allegations against McDonald’s have not been proven. However, the lawsuit highlights challenges for businesses adopting AI.
Technology may change how companies make pricing decisions. Yet it does not eliminate a business’s obligations under antitrust law.
As algorithmic pricing becomes more common, courts will continue examining when recommendations cross the line into unlawful coordination.
For businesses, understanding the implications of how their pricing technology operations may be just as important as the prices it recommends.
Contributions to this blog by Kennedy McKinney.
