Uber drivers launch European class action over ‘soulless’ and ‘scary’ AI algorithm
Uber drivers from the UK, the Netherlands and other European countries have launched a landmark legal action against Uber, alleging that the AI-powered algorithm the company uses to set pay and allocate jobs breaches data protection law and unfairly depresses their earnings. Drivers describe the system as a "black box" that learns their individual willingness to accept low fares and adjusts prices accordingly, leaving them feeling constantly monitored and unable to escape the arrangement. The case, filed at Amsterdam's district court where Uber has its European headquarters, is the first collective legal challenge of its kind against algorithmic pay-setting, according to the European Trade Union Confederation.
The compensation claim, which could run into billions of dollars, relates to roughly 241,000 drivers across the EU and UK and is being led by campaign group Worker Info Exchange, founded by James Farrar. It alleges Uber has unlawfully used automated decision-making and profiling to set pay dynamically since 2023 in the UK, cutting annual driver incomes by about £5,000, with the same system rolled out in the Netherlands this year; it also claims driver data was unlawfully used to train Uber's AI models, and seeks both damages and an injunction. The action follows a separate €825m fine imposed on Uber last month by the Dutch data protection authority over automated account deactivations, which Uber is appealing, while the company disputes that it adjusts prices based on individual driver behaviour and is separately preparing to roll out driverless cars across European cities.
In short
- Uber drivers sue over AI algorithm they say suppresses pay
- Amsterdam case covers about 241,000 UK and EU drivers
- Follows Uber's recent €825m Dutch data protection fine
Steelman: both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Drivers can argue that opaque automated pay-setting and job allocation leave them unable to understand or challenge decisions that affect their livelihoods. If Uber profiles drivers or uses their data to tailor lower offers without a lawful basis or meaningful transparency, collective action could secure accountability, compensation and safeguards for workers who have little bargaining power individually.
The case against
Uber can argue that dynamic pricing and automated allocation help match drivers with passengers, respond to changing demand and keep the service viable, and that the company disputes tailoring prices to individual drivers’ behaviour. It may also contend that the allegations and claimed losses require evidence in court, and that a large compensation claim or injunction could constrain a system that benefits drivers and riders when used lawfully.
Explained simply
Uber uses software to connect passengers with drivers, assign trips and calculate fares and driver pay. The system draws on data about journeys, demand and drivers’ activity, and can make decisions automatically, with limited human involvement.
The drivers are represented by Worker Info Exchange, a campaign group founded by James Farrar. The group says Uber’s use of personal data and automated decisions raises questions about drivers’ privacy and how their earnings are set; Uber disputes that it changes prices based on individual drivers’ behaviour.
The case is part of wider debate about how companies manage workers through algorithms and what protections data laws provide. Its outcome could affect how such systems are used and challenged across the UK and Europe.
AI Business Companies Cybersecurity Economy Entertainment Europe Horror Markets Technology World