Trump AI Push Could Ease Travel Tech Rules but Pricing Fights are Still Growing

The Trump administration’s AI policy could make things easier for travel companies in one area: building and expanding AI tools across the US.

That could help airlines, hotel groups, OTAs, and travel software companies use AI more widely in areas such as customer service, trip planning, marketing, and internal operations.

The push has been building since January 2025, when President Trump signed an executive order aimed at removing barriers to American AI leadership, and it became more specific in July 2025 with the White House AI Action Plan. The latest step came on March, 2026, when the White House released legislative recommendations for a national AI framework.

A federal AI framework could make rollout easier for travel firms

What the policy actually does is push AI regulation closer to one federal standard. Instead of letting states build very different AI rulebooks, the White House wants Congress to create a national framework and override state laws that place heavy burdens on AI companies. For travel firms, that could make it easier to launch the same AI product across multiple markets without constant legal and operational changes.

Travel companies often operate across many states at once. If AI rules begin to vary widely from one market to another, businesses may have to adjust product features, internal review processes, or customer disclosures depending on where travelers are located. A more unified system would make national rollout simpler and easier to manage.

But even if AI development becomes easier in one area, travel companies are still facing growing scrutiny over pricing, especially when algorithms or personal data are involved.

Pricing is still the bigger risk

The bigger regulatory problem for travel is pricing. Dynamic pricing is not new in this industry. Airlines, hotels, and travel platforms have adjusted prices based on demand, timing, and inventory for years.

What is changing is the level of concern around how algorithms shape those prices and whether personal data is being used in ways consumers do not fully understand.

The focus is shifting away from AI as a general concept and toward pricing as a consumer protection issue. Regulators are asking whether software is simply reacting to market conditions or helping companies charge different customers different prices in hidden or unfair ways.

States are moving faster on this issue

Much of the momentum is coming from the states. 24 states introduced 51 algorithmic pricing bills in early 2025. Travel Technology has also warned that lawmakers in states such as Connecticut, Maryland, Ohio, and Tennessee are considering bills that could affect how travel companies use pricing tools and discounts.

California and New York show how these rules are developing. California’s SB 295 targets algorithmic collusion, while New York requires businesses to disclose when a personalized price was set by an algorithm using personal data. For travel companies, that means the pricing debate is no longer theoretical. It is becoming a direct compliance issue.

Federal scrutiny is rising too

The federal government is also tightening pressure in this area. The FTC’s junk fees rule took effect in May 2025 and requires clearer total pricing for short-term lodging and live-event tickets. That already gave regulators more power over how some travel prices and fees are shown to consumers.

Congress is now paying closer attention as well. In March 2026, House Oversight Committee Chairman James Comer said he was investigating surveillance pricing and sent letters to companies including Booking Holdings and Expedia Group. That shows pricing is becoming a larger political issue tied to affordability and public concern over opaque digital pricing systems.

Attention is shifting from AI hype to pricing transparency

Recent debate around dynamic pricing shows that regulators are paying less attention to the technology label itself and more to what pricing systems actually do in practice. A similar pattern is now emerging across travel, where the debate is shifting away from AI as a label and toward a more practical question: whether algorithm-driven pricing is transparent, fair, and easy for travelers to understand.

Photo by Ana Lanza on Unsplash