Policy and law · Brief

US regulator asks nine companies how personal data sets their prices and pay

The Federal Trade Commission wants to know whether what companies know about you changes what you pay, and what gig workers earn.

31 October 2026 · 1 min read

A long supermarket aisle at night, the electronic price labels along the shelves glowing and each showing a different blank price display

Picture made for ABURA Bureau.

On 28 October 2026 the US Federal Trade Commission sent special orders to nine companies: three airlines, two ride-hailing firms, two food-delivery firms and two large retailers. The orders, a study power the agency uses to gather facts rather than to bring a case, ask each company to explain the inputs, tools and steps it uses to set prices and workers' pay.

The question is whether prices differ from one person to the next because of loyalty schemes or analysis of personal data, and whether pay offers to gig workers depend on data such as how they use their phones or which offers they accepted before. The companies have 45 days to answer.

For anyone who holds customer data, the direction is clear. Using personal data to set an individual price is moving from a quiet practice to one regulators expect to see explained. Data that is collected and used openly, with people's agreement, keeps its value; data used out of sight is turning into a liability.

Find out what your data could be worth

Tell us what kinds of data your company holds. Buyers set the price, and you keep the data.

Start on abura.io

Get the weekly issue

One email a week once the issue starts, only the desks you pick. Leave whenever you like.

Your desks

We use your email only to send the issue. Your rights.

More from Policy and law

An empty courtroom at dusk, a wooden judge's gavel resting on a stack of thin glowing glass data tablets on the benchPolicy and law
Policy and law · Brief

A US appeals court says the market for AI training data is real

The first federal appeals ruling on AI training and fair use treats licensing data for training as a market an owner can lose.

31 October 2026 · 1 min read
A crowd seen from high above as small frosted-glass figures on a dark plaza, a thin horizontal scanning beam of light passing over them, every figure anonymous and blurredPolicy and law
Policy and law · Explainer

Taking personal data out before a sale

AI buyers want what your data shows about the work, not about people. Here is what taking personal data out really means.

19 October 2026 · 2 min read