How Uber and Lyft Use Artificial Intelligence to Price Rides
How Uber and Lyft Use Artificial Intelligence to Price Rides
Publish Date: 2026-06-16 06:00:00
Source Domain: www.consumerreports.org
Lyft challenged CR’s findings, citing an “observer effect,” meaning that by having dozens of people checking prices for the same route at the same time, CR may have artificially inflated demand for that ride and influenced the final prices our volunteers saw. Uber said that because its ride prices change “nearly every second,” it was “impossible” for us to ensure that trip requests happened at exactly the same time.
In short, Uber and Lyft argue that no two trips on their platforms—no matter how seemingly close in time and location they are to each other—can ever truly be the same.
“In an open, dynamic marketplace like ours, with nearly 1.7 million mobility and delivery trips per hour, a trip is defined just as much by when it is requested and what’s happening nearby as where it is going,” Uber said in a statement to CR.
But several experts we shared our findings with dispute that argument. On nearly every route we tested, they noted, we found that at least some of our volunteers converged on the same price for the same ride at almost the same time. And it would be difficult for CR’s tests alone to create artificial spikes in demand, given the relatively small number of volunteers we used and the mostly large and densely populated places we chose for our test rides, experts said.
“You’re saying that a few dozen people caused such a dramatic effect? Maybe if it was the heat of rush hour, from the airport to downtown, a truly hot surge area, but that doesn’t apply here,” says Christo Wilson, a computer science professor and associate dean at Northeastern University in Boston who previously audited Uber and Lyft’s pricing models for the city of San Francisco.
So what explains the different prices our volunteers saw, according to the companies? Uber and Lyft said that a wide variety of factors—rider demand, the supply of available drivers, location, time, estimated trip time and distance, weather,…
