Uber has instituted monthly caps on employee use of AI tools and reduced its people division by approximately 23% [1].
These measures signal a shift in how the company manages the high costs associated with generative AI integration and corporate staffing. While the company is aggressively adopting new technology, the financial strain of unplanned spending has forced a sudden correction in operational budgets.
CEO Dara Khosrowshahi said, "The changes are necessary" [1]. The decision to cap AI tool usage follows a period where the company blew through its allocated AI budget in just four months [2]. The new monthly limits apply company-wide across Uber's corporate operations, including its San Francisco headquarters [2].
Simultaneously, Uber fired about 23% of its people division, which encompasses human resources and recruitment [1]. This reduction represents nearly a quarter of the department's workforce. Despite the timing of the AI spending caps, the company said the staffing cuts were not driven by AI automation [1].
The company did not provide specific details on the exact dollar amount of the budget overrun, but the rapid depletion of funds within a four-month window prompted the new restrictions [2]. The move suggests a tightening of fiscal controls as the company balances the promise of AI productivity with the reality of its recurring costs.
“"The changes are necessary."”
Uber's dual action of capping AI spend and cutting HR staff reflects the tension between corporate AI ambition and fiscal discipline. By decoupling the layoffs from AI automation, the company is attempting to avoid the narrative that it is replacing humans with bots, even as it struggles to control the volatile costs of the technology itself.
