Uber Charges Passengers Up to 42% More for Same Route at Same Instant

Ride-hailing service Uber has completely abandoned its transparent “base fare + mileage + time” formula, shifting to aggressive neural network algorithms to assess customers’ ability to pay. As an investigation by Business Insider revealed, ordering a car simultaneously for an identical route from two different smartphones resulted in a price difference of over 21%.

An even more shocking price gap was documented by the non-profit organization Consumer Reports in a large-scale study on GitHub. After analyzing rides ordered by 174 volunteers across 17 US states, the median difference between the cheapest and most expensive offers for the same route was 42.4%, reaching an anomalous 152% on certain routes in New York.

From Fair Fares to Route-Based Pricing Algorithmic Surveillance

The evolution of the service’s pricing relies on the continuous sophistication of predictive AI models:

• Hidden Upfront Pricing Model: passengers see a fixed price before confirming the ride, while the cost calculation for the customer is kept separate from the payout the algorithm offers to the driver;
• Route-Based Pricing: the system analyzes real-time parameters of a specific route, including historical demand in the area, traffic speed, and the likelihood of the driver quickly finding their next fare;
• Fake Discounts: Consumer Reports experts estimate that about 12.4% of promotional “discounts” within the app were calculated based on an artificially inflated base price.

According to analysts, the average fare for taxi rides in the US has jumped by 83% in recent years, which experts attribute to the transition to deep algorithmic forecasting of a passenger’s willingness to pay.

Uber’s Response and Upcoming FTC Restrictions

In an official statement, Uber categorically denies accusations of “surveillance pricing.” Platform representatives assure that the algorithms do not read smartphone models, battery levels, or demographic data, claiming that second-by-second price fluctuations are caused by the balance of demand and minor GPS inaccuracies.

However, the practices of ride-hailing platforms have already raised alarms among authorities. As reported by Reuters, the US Federal Trade Commission (FTC) is preparing strict new rules: the regulator intends to mandate that digital services explicitly notify users when personalized AI pricing is applied and disclose the factors influencing the final fare.