Uber lays off 10% of customer service staff, cites AI efficiency gains

On Thursday, Uber announced it is laying off approximately 10% of its community operations team (the customer service function) and requiring remote workers in that team to relocate to a city with an Uber office, where they will work three days per week. The restructuring is explicitly framed as an AI-driven efficiency measure.

Megha Yethadka, Uber's vice president of global community operations, outlined the rationale in a memo to the team on Wednesday. She wrote that AI presents "a massive opportunity for us to accelerate output, improve quality, and scale customer solutions at pace." However, she noted that to unlock this potential, "we need an effective organization to layer AI on" and that "we cannot scale frontier technology on top of fragmented processes." An Uber spokesperson reiterated in a statement that the company is making "structural changes to simplify operations, strengthen in-person collaboration, and continue to embrace AI."

Uber is not alone in this strategy. Block, IBM, and Snap have all announced job cuts explicitly tied to AI investment this year. For context, the layoffs affect less than 1% of Uber's 34,000-person global workforce. Last month, Uber had already cut a quarter of its human resources and recruitment staff, though the company said that reduction was unrelated to AI. CEO Dara Khosrowshahi has stated publicly that Uber is slowing its overall hiring pace as it commits more resources to AI development and deployment.

Uber's decision to lay off 10% of its customer operations staff and mandate office attendance reflects a broader shift across major tech and business companies toward using AI to reduce headcount in customer-facing roles. The company's framing—that AI enables faster, higher-quality customer solutions but requires organizational simplification—suggests a strategic pivot toward automation of routine inquiries and support tasks. Megha Yethadka's memo explicitly states that Uber cannot "scale frontier technology on top of fragmented processes," implying that the layoffs are tied not only to AI's capability to handle work, but also to a perceived need to streamline organizational structure itself.

This announcement follows Uber's earlier cut of a quarter of its HR and recruitment staff last month, which the company said was unrelated to AI. Together, these moves align with CEO Dara Khosrowshahi's public statement that Uber is slowing hiring in order to invest more heavily in AI. The timing and pattern—customer operations today, HR yesterday—suggest a deliberate phase of restructuring tied to automation priorities rather than a one-time cost reduction.

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