The Federal Trade Commission said on 28 October 2026 that it has “ordered nine major airlines, ride-sharing companies and food-delivery firms to provide detailed information that will allow the agency to study the use of personal data to set prices and compensation”. The orders went to Delta, United, JetBlue, Lyft, Uber, DoorDash, Instacart, Target and Walmart under Section 6(b) of the FTC Act.
Reuters also reported the demands on 28 October, citing a senior FTC official. The Commission voted 2-0 to issue the orders, and the companies have 45 days from receiving them to respond.
A vertical news Short narrated from this piece’s headline and opening line.
Business Pill · Consent
A short explainer on consent: you can only agree to what you know. It teaches the general idea only and says nothing about the FTC or any company in this story.
The key insight: By the FTC’s own account, its new study goes to nine companies that set prices for consumers, after a 2024 study of eight pricing intermediaries that, the agency now says, taught it nothing about actual pricing decisions; four of the nine are also asked how they set worker pay, by our count.
Each company must hand over information that lets the agency assess whether the price of “a ticket, ride share, food delivery or other product or service varies from one person to the next based on factors such as participation in loyalty programs or analysis of personal data by superintelligence algorithms”, the FTC said. If a company does not comply, “the Commission has the power to compel compliance in federal court”.
The orders also cover pay. The FTC says ride-sharing and food-delivery companies “may engage in personalized compensation based on their drivers’ personal data, such as their phone usage or acceptance history for past offers”, and the orders ask them “to document the inputs, tools and procedures used to adjust or set compensation and pricing”. By our count, four of the nine recipients, Lyft, Uber, DoorDash and Instacart, fall in that group.
Reuters reported that the demands cover whether and how the companies use consumers’ personal data “such as location, browsing history and income to set individual prices, wages and job offers”, according to the senior FTC official.
Companies receiving FTC 6(b) orders on personalized pricing: eight firms offering surveillance-pricing products and services in July 2024, nine airlines, ride and delivery apps and retailers in October 2026. The 2026 sector grouping is ours. Source: FTC press releases, 23 Jul 2024 and 28 Oct 2026.
What Chairman Ferguson Said
FTC Chairman Andrew N. Ferguson said: “We intend to scrutinize the opaque methodology that some companies in these industries may be using to determine how much consumers pay or how much gig workers are paid for the same product or service”. He added: “Consumers deserve to know whether companies use their web surfing habits or other personal data to estimate the highest price they can charge each consumer”.
Reuters reported that Ferguson has said personalizing pricing could violate consumer protection laws where consumers do not expect it, and that companies should expect enforcement. In August the Commission sought public comment on a proposed enforcement policy statement on how “the undisclosed use of personal information to set a price unique to a consumer could violate the FTC Act”, the FTC says.
FTC 6(b) studies of personalized pricing: eight companies ordered in July 2024 by a 5-0 vote, nine in October 2026 by a 2-0 vote. Source: FTC press releases, 23 Jul 2024 and 28 Oct 2026.
From Middlemen to Price-Setters
The 2024 study went to a different group. On 23 July 2024 the FTC, by a 5-0 vote, sent 6(b) orders to eight companies offering surveillance pricing products and services: Mastercard, Revionics, Bloomreach, JPMorgan Chase, Task Software, PROS, Accenture and McKinsey & Co. The new release says that study “examined only middlemen consultancies rather than the businesses that actually set prices” and that “This study corrects the Commission’s mistaken 2024 approach”.
By our arithmetic, the agency has gone from eight intermediaries to nine companies that set prices for consumers, about 27 months later. If the orders were received on 28 October, the 45-day window would run to about 12 December; the FTC counts it from each company’s date of receipt.
The Structural Read
As we read the release, the study asks a factual question, whether prices or pay vary from one person to the next, and the FTC says a 6(b) study has no specific law enforcement purpose.
As we read the August request for comment, the FTC is separately weighing how the undisclosed use of personal information to set a unique price could violate the FTC Act, which is the enforcement track.
By our arithmetic, the gap between the two studies is about 27 months, and the 45-day window runs to about 12 December if the orders were received on 28 October.
FTC Chairman Andrew N. Ferguson, 28 October 2026
“Workers also deserve to know if their compensation is affected by how companies use their personal data”
Three Implications
FOR THE NINE COMPANIES The FTC says each must turn over information on whether prices vary by person, and that it can compel compliance in federal court.
FOR GIG PLATFORMS The FTC says ride-sharing and food-delivery companies may pay shifting compensation offers based on opaque formulas, and asks them to document the inputs, tools and procedures used.
FOR PRICING TECHNOLOGY Reuters reported that the FTC has said it lacks the authority for a blanket ban, and that hundreds of commenters urged an outright ban.
The framework says that what changes between AI paradigms is “where intelligence accumulates and who can capture it”.
As we read it, personal data used to set a price or a pay offer is one place such intelligence could sit, and the FTC’s orders ask the companies to document it. The framework was published by The Business Engineer, is about data pipelines in general, and does not discuss the FTC or these companies.
The FTC release describes a study, not a finding: it says companies “may be using” such methods, and that 6(b) studies “do not have a specific law enforcement purpose”. Reuters reported that hundreds of commenters urged an outright ban and that the FTC has said it lacks the authority for a blanket prohibition. We read the FTC releases and Reuters’ report; we did not read the orders’ full text or contact the companies. Counts and dates marked as ours are our arithmetic.
This Week In The AI Supercycle
Execution Fault Lines, Concentrated Demand, and Geopolitical Firewalls
This week’s issue: the AI build is not short of demand for its parts. It is short of cheap money, and its end revenue rests on a narrow base of large, often venture-funded buyers.
The FTC has ordered nine airlines, ride and delivery apps and retailers to explain whether personal data shapes the prices they charge and, for four of them, the pay they offer. The FTC says it corrects a 2024 study of eight pricing intermediaries, and the companies have 45 days from receipt to answer.
A note on sourcing. Facts come from the FTC’s press releases of 28 October 2026, 19 August 2026 and 23 July 2024, and from Reuters’ exclusive report of 28 October, all read on 29 October. We did not read the full text of the orders or contact the nine companies. Counts and dates marked as ours are our arithmetic.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
