Uber has laid off approximately 10% of its customer service workforce as part of a restructuring of its support division and an accelerated push toward artificial intelligence-powered custome
Uber has laid off approximately 10% of its customer service workforce as part of a restructuring of its support division and an accelerated push toward artificial intelligence-powered customer service tools.
The cuts, confirmed on Thursday, follow a broader pattern across the global technology and ride-hailing industry where companies are using AI to handle functions that previously required large teams of human agents.
The ride-hailing company has not specified the exact number of employees affected, but a 10% reduction in a customer service division of a company operating in over 70 countries represents a significant headcount reduction.
The move comes as Uber has been investing heavily in AI tools to handle routine customer queries, things like trip disputes, refund requests, lost items, and account issues. These are high-volume, repetitive interactions that AI systems can process faster and at a fraction of the cost of a human agent. For a company like Uber, which processes millions of trips daily and fields an enormous volume of support requests, the financial case for automation is straightforward.
Dara Khosrowshahi, CEO of Uber Uber is not alone in this direction. Earlier this year, Klarna, the Swedish buy-now-pay-later company, said its AI assistant was doing the work of 700 customer service agents. Duolingo cut contractor roles citing AI earlier in the year.
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Salesforce announced it would not hire new software engineers because AI was absorbing that work. The pattern is consistent: companies are identifying the parts of their workforce that handle structured, repeatable tasks and replacing them with AI systems that do not take breaks, do not need training on new products, and do not require benefits.
What this move by Uber means and whether AI can actually replace a human on a bad dayThe reaction online has been swift and largely sceptical, and not without reason.
“Customer support just became customer prompt,” one user wrote on X. Another said flatly: “Now there is no scope for customer service. Most of the things are already automated with AI.” A third offered what is probably the most honest concern: “Hope the AI can actually handle the chaos that comes with Uber rides. Still feels like a band-aid on a bigger issue.“
That last comment is worth sitting with. Because here is the thing about customer service in ride-hailing specifically: a significant portion of the interactions are not routine. They are messy, emotional, and contextual in ways that current AI systems genuinely struggle with.
Think about the most frustrating Uber experiences people actually complain about. Your driver drove to the wrong location and cancelled the trip anyway, charging you a cancellation fee. You left something valuable in a car, and the driver is not responding. You were charged surge pricing for a trip that felt normal. Your account was flagged for fraud after you logged in from a new device while travelling.
These are not simple ticket categories with clean resolutions. They require judgment, discretion, the ability to read between the lines of what a frustrated person is actually saying, and sometimes the authority to make an exception.
AI handles the average case well. It handles the edge cases poorly. And in customer service, the edge cases are often the ones that determine whether a customer stays or leaves.
That does not mean AI has no place in customer support, it clearly does, and it is clearly better than a human for answering “where is my driver” or “how do I update my payment method.” The efficiency gains are real. But companies that fully automate support and remove the human escalation path tend to discover, sometimes painfully, that the customers who could not get a satisfying answer from the bot do not quietly accept it.
They dispute the charge with their bank, leave a damaging public review, or simply switch to a competitor.
For workers, the implications are more immediate and less nuanced. Ten per cent of a customer service workforce losing their jobs because of AI is not an abstract debate about the future of work, it is people losing income today. And unlike the disruptions of previous technological waves, which eventually created new job categories to absorb displaced workers, AI is moving fast enough that the new roles it creates may not materialise at the same pace or in the same places as the ones it eliminates.
“AI is changing customer service rapidly,” one account noted online, “but companies still need to balance efficiency with a high-quality customer experience.” That balance is the real test, and for Uber’s riders who have ever needed a human being to fix something that went wrong, the next few months will show whether the company has found it.
Also read: 20,000 drivers sue Uber for allegedly failing to grant blocked drivers appeal in California
