Study: Uber dynamic pricing increases passenger fares, lowers driver earnings
Study: Uber dynamic pricing increases passenger fares, lowers driver earnings
Occurred: 2023-
Page published: October 2025
Uber's dynamic pricing algorithm increases fares for passengers, reduces hourly earnings for drivers, and boosts Uber’s revenue share, according to University of Oxford researchers.
Uber introduced its AI-powered dynamic pricing system in the UK in 2023 to set the pay of its drivers and their assign work in real time.
University of Oxford researchers analysed deployed data subject access requests (DSARs) at scale to evaluate the impact of algorithmic pricing on the livelihoods of 258 Uber drivers in the UK, drawing on data from 1.5 million rides from 2016 to 2024.
The researchers discovered that passenger fares increased, but driver earnings per hour dropped from over GBP 22 to just above GBP 19 before operating costs. The study also noted that drivers spend more unpaid time waiting for rides.
Meantime, Uber’s commission rose to 29 percent, sometimes taking over half the fare value. Prior to dynamic pricing, Uber’s commission had been fixed at 25 percent.
The research highlights growing disparity and reduced predictability in driver pay and questions the fairness of Uber's algorithmic management approach
It also notes broader social and environmental harms from excess drivers and congestion.
Uber responded by saying it did "not recognise the figures in this report."
Uber likely introduced its AI dynamic pricing system to increase its revenue and margins in an increasingly competitive marketplace.
The company concealed the mechanics and impacts of the system and refused access to its customers, drivers and third parties.
For drivers, the dynamic pricing system means less autonomy, lower and less predictable income, often below minimum wage after expenses, and increased unpaid waiting time.
For passengers, this pricing strategy results in higher costs per trip.
For society, it raises concerns about gig economy fairness, worker rights, and the environmental impact of excess vehicles on the road, while Uber profits from increased commission rates.
The study highlights the need for greater transparency, accountability, and possibly regulatory oversight in the management of platform labour and algorithm-driven pricing.
Dynamic pricing
Dynamic pricing, also referred to as surge pricing, demand pricing, or time-based pricing, and variable pricing is a revenue management pricing strategy in which businesses set flexible prices for products or services based on current market demands.
Source: Wikipedia 🔗
Developer: Uber
Country: UK
Sector: Transport/logistics
Purpose: Calculate price
Technology: Pricing algorithm; Machine learning
Issue: Accountability; Autonomy/agency; Employment; Environment; Fairness; Transparency
Institute of Employment Rights. New Research Exposes Deepening Exploitation of Uber Drivers by Algorithmic Pay
https://www.bbc.co.uk/news/articles/cy0w8148v25o
https://www.oxfordmail.co.uk/news/25265306.oxford-university-finds-uber-fares-drivers-earn-less/
https://morningstaronline.co.uk/article/ubers-dynamic-pricing-slashes-driver-wages-study-finds
AIAAIC Repository ID: AIAAIC2087