US States Threaten Dynamic Pricing Limitations in Travel

Legislators across more than a dozen US states are introducing new bills designed to limit the way businesses use consumer data when setting prices.

These proposals target a concept often referred to as “surveillance pricing,” where companies might analyze search behavior or other digital signals to estimate a customer’s willingness to pay and adjust prices accordingly. The topic has gained urgency as AI tools become more sophisticated and widely deployed across industries.

States move to regulate pricing algorithms in travel

The Travel Technology Association has raised alarms about what it describes as a rapidly expanding wave of state-level regulation focused on dynamic pricing algorithms. Many of the proposed laws would restrict airlines and hotels from using customer search data to modify prices in real time, which could fundamentally alter how pricing systems currently operate within the travel sector.

Why dynamic pricing matters in travel

Pricing flexibility plays a critical role in travel because the products being sold have limited lifespans. An unsold airline seat or empty hotel room represents lost revenue that cannot be recovered later.

Dynamic pricing systems allow companies to respond to demand changes, seasonal patterns, and booking trends instantly, helping maximize occupancy and keep prices competitive. Limiting access to data could make these systems less effective.

According to the Travel Technology Association, companies might face higher operational costs if they are forced to abandon data-driven pricing strategies. In turn, this could reduce the availability of discounted fares or last-minute deals that consumers currently benefit from.

Airlines defend their pricing practices

Debates about pricing transparency intensified after, last year, Delta Air Lines revealed its collaboration with Fetcherr, an AI-focused company specializing in revenue management. The announcement prompted questions from lawmakers about whether airlines might use personal data to set individualized fares.

In August 2025, Delta responded by clarifying that its AI tools rely on aggregated and anonymized booking data combined with market signals, rather than personal identities or individual browsing behavior. The airline also noted that human pricing experts remain responsible for final decisions, ensuring oversight of automated recommendations.

Airlines for America reinforced this message, stating that US carriers follow all applicable federal pricing regulations and base ticket costs on supply and demand dynamics rather than personal customer information.

Photo by Luke Michael on Unsplash