Uber drivers sue in Amsterdam over algorithmic pay system they say cuts earnings

A class action filed at Amsterdam's district court this week marks the first coordinated European legal challenge to the algorithmic management systems that now govern pay and work allocation for hundreds of thousands of platform workers. The claim, brought on behalf of an estimated 241,000 Uber drivers across the European Union and the United Kingdom, alleges that the company's dynamic pricing engine uses personal behavioural data to calculate the lowest fare each driver will accept, a practice the drivers' lawyers say breaches the General Data Protection Regulation's prohibitions on automated decision-making and profiling.

How the algorithm works, according to drivers

The system at the centre of the case sets a personalised rate for every ride request. Drivers describe a feedback loop in which the software learns from each acceptance and rejection, gradually calibrating offers toward an individual's reservation wage. Mohammed Shirwa, a 41-year-old driver in Rotterdam, told the court the algorithm "is learning about you and what you are willing to accept. So the prices go low but you are stuck. It knows you need the job." Kola Oba, 48, driving in Tottenham, north London, said he and another driver were offered the same trip at different prices, £23 for him, £27 for his colleague. Oba had recently accepted several low-paid jobs; he believes the system inferred he would take less.

Uber has previously attributed such discrepancies to GPS variation, surge pricing, promotional incentives and A/B testing. In a statement the company said it "categorically rejects the allegations" and that "a history of accepting or rejecting trips was not used to personalise pay offers." Instead, it argued, dynamic pricing allows it to increase pay on less attractive trips, boosting overall earning potential. The company also said the vast majority of total fares continue to go to drivers and that its take-rate has remained relatively flat.

The legal argument: GDPR and automated decision-making

The lawsuit rests on Article 22 of the GDPR, which gives individuals the right not to be subject to decisions based solely on automated processing that produce legal or similarly significant effects. The drivers' legal team, led by Dutch lawyer Anton Ekker, argues that dynamic pay-setting constitutes exactly such a decision: it determines livelihood, working hours and income without human intervention or meaningful transparency. The claim also alleges unlawful use of driver data to train the very models that suppress their earnings, and seeks both damages and an injunction to halt the practice.

James Farrar, founder of the Worker Info Exchange and the architect of the 2021 UK Supreme Court victory that established Uber drivers as workers rather than independent contractors, said the case goes beyond pay. "The intrusive and underhanded way in which Uber uses its technology to monitor and influence drivers' behaviour is an affront to their dignity as workers and as human beings," he said. The European Trade Union Confederation has described the filing as the first collective legal move of its kind in Europe.

Regulatory pressure already building

The Amsterdam filing does not arrive in a vacuum. Last month the Dutch Data Protection Authority (Autoriteit Persoonsgegevens) fined Uber €825 million for deactivating driver accounts through automated systems without adequate notice or explanation. Uber has said it will appeal. The fine underscores a growing regulatory consensus that algorithmic management must meet transparency and due-process standards. The European Parliament and Council are also finalising the Platform Work Directive, which will create a presumption of employment for platform workers and impose new obligations on algorithmic transparency, legislation that could reshape the legal terrain before this case reaches judgment.

What the evidence shows so far

A 2025 study by academics at the University of Oxford found substantial cuts in driver earnings after the dynamic algorithm was introduced in the UK in 2023. Uber dismissed the study as relying on incomplete and selective data. Drivers involved in the claim estimate their annual incomes have fallen by roughly £5,000 since the system's UK rollout. The Netherlands saw the system introduced this year. The company's own chief executive, Dara Khosrowshahi, said in 2023: "I think that what we can do better is targeting of different trips to different drivers based on their preferences or based on behavioural patterns that they're showing us." That statement now sits at the centre of the plaintiffs' argument.

Broader implications for algorithmic management

The case reaches beyond ride-hailing. Across logistics, food delivery and warehouse work, AI systems increasingly act as what researchers call "synthetic managers", assigning tasks, setting rates and evaluating performance with minimal human oversight. If the Amsterdam court finds that personalised dynamic pricing constitutes prohibited automated decision-making under GDPR, the precedent would affect every platform that uses worker data to calibrate pay individually. Anton Ekker put it bluntly: "A computer algorithm should not independently make decisions that strip individuals of their livelihood. Like so many other online platforms, it should be held accountable for the large-scale exploitation of vulnerabilities of European citizens."

Uber's defence and the road ahead

Uber's defence rests on two pillars: first, that the algorithm does not personalise pay based on individual behavioural history; second, that dynamic pricing benefits drivers by raising fares on unattractive trips. The company also emphasises that drivers see the fare and destination before accepting. But the court will have to decide whether the system's opacity, drivers cannot audit the code or see the data profiles built on them, is itself a GDPR violation. Discovery could force Uber to disclose model architecture, training data and decision logic it has long treated as trade secrets.