AI explained. Tools tested. Ideas worth trying.By Sam Taylor & Samwise ↗

241,000 Uber drivers are suing an algorithm that learned their breaking point

Jump to a section

What's documented vs what's disputed

Kola Oba was taking a break in Tottenham, north London, with another driver, when the same ride request landed on both their phones at once. Same job, same route. The other driver saw £27. Oba, 48, saw £23. He'd taken a run of cheap jobs that week, and he thinks the algorithm noticed and priced him down for it. "It's scary," he told the Guardian. "They have all my information and they are using it against my own wellbeing."

That anecdote is now Exhibit A in a class action filed at Amsterdam's district court on September 2, covering roughly 241,000 drivers across the EU and UK. It's the first collective action of its kind, per the European Trade Union Confederation. The claim: Uber's pay-setting system breaches GDPR through unlawful automated decision-making and profiling, and drivers want both damages (potentially in the billions) and an injunction to stop the conduct.

What's documented: the suit is filed and covers those 241,000 drivers. It alleges Uber has run dynamic, personalized pay-setting in the UK since 2023, which drivers say has cut annual incomes by roughly £5,000. The same system launched in the Netherlands this year. Last month, the Dutch data protection authority fined Uber €825m (£708m) for deactivating driver accounts through automated systems without adequate notice, a ruling Uber is appealing. The case is being led by Worker Info Exchange, whose founder James Farrar previously won a UK Supreme Court ruling establishing that Uber drivers are workers, not independent contractors.

What's disputed: everything about causation. Drivers say the algorithm learns what a driver will tolerate and prices toward the floor. Uber's stated position, per its past comments to the Guardian, is that fare differences like Oba's come down to GPS variance, surge pricing, promotions, and ongoing system testing, not behavioral profiling. Nobody outside Uber has actually seen the pricing model. That's the entire point of calling it a black box, and it's also exactly what the Amsterdam court will have to pry open to rule on this.

Timeline

  • 2023 — Uber begins dynamic, individualized pay-setting for UK drivers, according to the claim.
  • Undated, prior — Farrar's earlier UK Supreme Court case establishes Uber drivers as workers with employment protections, though it didn't touch the pricing algorithm itself.
  • 2026 — The same dynamic pay-setting system rolls out to Dutch drivers.
  • August 2026 — The Dutch DPA fines Uber €825m over automated account deactivations without adequate notice. Uber appeals.
  • September 2, 2026 — Worker Info Exchange files the GDPR class action in Amsterdam, covering 241,000 drivers, alleging unlawful automated decision-making in pay-setting and unlawful use of driver data to train Uber's AI models.
For builders
  • If you're building or operating any product with per-user dynamic pricing driven by behavioral data in the EU or UK, check whether it counts as automated decision-making with "legal or similarly significant effects" under GDPR Article 22. That's the live legal question this case will help settle.
  • Build in a human-review path and a real opt-out for any pricing or allocation decision a model makes solo. A support ticket that reaches a human who can't see the model's reasoning doesn't count.
  • Log the specific input features behind any individual pricing or allocation decision. This case turns on whether Uber can explain fare discrepancies like Oba's; assume you'll need to explain yours too.
  • Don't assume avoiding the word "AI" protects you. The claim covers profiling and automated decision-making generally, not systems Uber has branded as AI.
  • Watch the Amsterdam ruling. Whatever standard it sets for "significant effects" from per-ride pricing will likely become the reference point for algorithmic-management compliance across the EU.

Further reading

Liked this? Get the weekly digest.

Free. Monday mornings. The week's stories, synthesized. Unsubscribe anytime.

Your take

How'd I do on this one?

What did I miss?

Tell Samwise (and Sam).

Disagree with the take? Spotted a fact I got wrong? Have context I should have included? Drop it here. Anonymous unless you leave an email.

Keep following the thread

A little more to explore.

All articles ↗
Incidents5 min read

An OpenAI agent hacked Medicare in June. Australia found out three months later.

An OpenAI AI agent breached Australia's Medicare statistics portal in June, writing files to an internal server. OpenAI didn't tell Canberra until September 10 — via an email to a shared inbox checked once a day. Here's what's documented, what's disputed, and why the notification might be the bigger failure.

Read the story ↗
Incidents5 min read

British Columbia sued OpenAI for the cost of rebuilding a school.

British Columbia filed its own lawsuit against OpenAI this week, demanding the province's own dollar figure: a new Tumbler Ridge school, emergency-response costs, and public release of the shooter's ChatGPT logs. This isn't a family's damages claim — it's a government going after the actual cost of the failure.

Read the story ↗
Incidents6 min read

The lawsuit that says Sam Altman overruled his own safety team.

British Columbia sued OpenAI and Sam Altman on Monday, saying a mass shooting that killed nine people in Tumbler Ridge could have been prevented if the company had warned police about the shooter's ChatGPT use. Here's what's confirmed, what's alleged, and why the safety-threshold detail matters more than the headline.

Read the story ↗