Two U.S. Congressmen are pressing JetBlue Airways for clarity on whether it uses customer data and AI to influence its flight pricing, raising broader concerns around transparency, trust, and perceived fairness in digital commerce.
In a letter dated April 21, Democratic Representative Greg Casar and Democratic Senator Ruben Gallego asked JetBlue CEO Joanna Geraghty to explain the airline’s approach to so-called surveillance-based pricing, the practice of using personal or behavioral data to tailor prices to individual consumers.
The inquiry follows an exchange on the X social media platform in which a JetBlue customer reported that a fare increased by $230 within a day while attempting to book travel for a funeral.
In a now-deleted post, the airline’s official account suggested the customer “[t]ry clearing your cache and cookies or booking with an incognito window,” adding “We’re sorry for your loss.” That prompted questions from the lawmakers about whether browsing behavior could influence pricing outcomes.
A statement on Rep. Casar’s website said the incident was “a clear suggestion that the company is using surveillance pricing.”
AI-Driven Pricing Practices Challenge Customer Trust
The issue indicates a familiar tension in modern customer experience strategies, as brands weigh the commercial upside of personalization against the reputational risk if customers perceive pricing as opaque or discriminatory.
Casar and Gallego stated in the letter:
“While JetBlue claimed in the wake of this post that fares are not ‘determined’ by cached data or other personal information, this exchange still raises questions about how JetBlue sets prices—specifically, how JetBlue is defining personal data and whether personal data is used in any capacity to inform prices.”
They noted particular concern that customers could face different prices based on inferred urgency to travel on specific dates or their willingness to pay.
The lawmakers are seeking detailed disclosures on several fronts, including:
- Whether customers’ browser data, cookies, or search behavior affects pricing
- The role of third-party vendors in using individuals’ data to recommend fares
- The extent to which JetBlue or third-party vendors use AI systems to set pricing
- What customer data is collected, stored, or purchased
- Whether personalized or differential pricing is currently deployed
The lawmakers also asked JetBlue to clarify how it defines “personal data,” particularly in relation to behavioral signals such as browsing and purchasing patterns.
Surveillance Pricing Sparks Concerns Over Data and Fairness
The term “surveillance pricing” has gained traction as companies expand their use of AI and data analytics to optimize revenue. While dynamic pricing is not new in industries like aviation, the integration of granular customer data introduces new ethical and regulatory considerations.
From a customer perspective, the distinction between dynamic pricing based on market conditions and pricing influenced by individual user profiles is critical. Customers may accept price fluctuations driven by demand but could react negatively if they believe their personal data is being used against them.
This concern aligns with broader shifts in consumer expectations around data usage. Transparency, explainability, and perceived fairness are increasingly central to brand trust, particularly in high-stakes purchases such as travel.
The attention from Casar and Gallego indicates growing political concern about how AI is applied in customer-facing decisions. The letter requires JetBlue to respond to the lawmakers’ questions by April 30.
The questions reflect a wider regulatory interest in algorithmic accountability and data governance. Both Casar and Gallego have introduced bills to Congress to crack down on surveillance pricing.
Casar, joined by Democratic Representative Rashida Tlaib, introduced the Stop AI Price Gouging and Wage Fixing Act in July last year to the House of Representatives to prohibit companies from using AI to set prices or wages based on Americans’ personal data. Gallego introduced the One Fair Price Act to the Senate in December to prevent companies from being able to use customers’ personal data to set individualized prices.
The scrutiny highlights how quickly operational practices, or even ambiguous messaging, can escalate into public and regulatory scrutiny. It also reinforces the need for companies to provide clear and consistent communication around personalization, especially when it potentially affects pricing.
As AI-driven decision-making becomes more embedded in customer journeys, companies may need to go beyond compliance and actively demonstrate fairness to maintain trust.
