Beta The Briev beta is out. Free on iPhone via TestFlight — install it in under a minute.

Join the beta ↗
Briev
Live
Business

Uber’s algorithmic pricing pushes fares up amid driver shortage claims

Uber’s shift to dynamic, algorithm-driven pricing has led to an 83% rise in average U.S. fares from 2018 to 2022, prompting criticism that the company exploits AI to maximize rider costs while minimizing driver earnings.

Uber replaced its earlier predictable fare structure with an upfront pricing system that uses algorithms and a host of live variables to determine what riders pay and what drivers earn. This change coincided with a sharp increase in costs: average U.S. fares climbed 83% from 2018 to 2022, nearly quadrupling the rate of inflation. Independent checks, including one outlet experiment and a broader Consumer Reports study, revealed that identical UberX rides could differ by as much as 21% in price.

Opponents claim the company leverages AI to squeeze the most money from consumers while keeping driver compensation low. Uber rejects the accusation, saying the surge reflects higher operating expenses and a shortage of drivers after the pandemic. The debate centers on whether algorithmic pricing is a legitimate market response or a profit-maximizing tactic that harms riders and drivers alike.

Why it matters

Riders face higher costs and drivers earn less as Uber’s pricing algorithm reshapes the gig-economy landscape.

In this story

dynamic pricingalgorithmic faresride-hailingdriver shortageinflationconsumer costAI pricing
Get the beta ↗