Uber cuts 23% of HR staff amid AI automation push

Uber dismissed an unspecified number of HR division employees, representing less than 1% of its 34,000-person global workforce.
Teams operating at a distance from the business they were meant to support
The company's explanation for why its HR division needed to be cut and restructured.

Em um momento em que a automação redefine silenciosamente o trabalho humano, a Uber anunciou o corte de 23% dos cargos em sua divisão de recursos humanos — uma fração pequena de seus 34.000 funcionários globais, mas um sinal eloquente de uma transformação mais profunda. O CEO Dara Khosrowshahi enquadrou a medida não como crise, mas como recalibração deliberada: uma divisão que cresceu fragmentada e sobrecarregada de responsabilidades sobrepostas precisava ser redesenhada para uma era de ferramentas de inteligência artificial capazes de agir com autonomia. A empresa não atribuiu explicitamente os cortes à automação, mas o contexto fala por si — e o padrão se repete em toda a indústria de tecnologia.

  • A Uber eliminou 23% dos cargos em sua divisão de RH, citando fragmentação estrutural e ineficiências operacionais acumuladas ao longo do tempo.
  • A tensão subjacente é clara: a empresa confirmou alocações orçamentárias para ferramentas de IA agêntica justamente na semana dos cortes, sugerindo que a automação está substituindo funções antes desempenhadas por pessoas.
  • A nova presidente da empresa comunicou pessoalmente os desligamentos, descrevendo a meta de construir uma organização 'mais conectada, moderna e operacionalmente excelente' — linguagem que mascara o custo humano concreto.
  • Por ora, os cortes foram cirúrgicos e limitados ao RH, mas a lógica que os sustenta — eficiência via automação — pode pressionar outras divisões se o experimento for bem-sucedido.
  • A Uber se distingue de concorrentes pela contenção: sem congelamento de contratações, sem onda ampla de demissões — apenas um ajuste direcionado a um problema organizacional específico, por enquanto.

Na quarta-feira, a Uber anunciou a reestruturação de sua divisão de recursos humanos, eliminando 23% dos cargos do departamento. A empresa, com cerca de 34.000 funcionários no mundo, não revelou o número exato de afetados, mas caracterizou a redução como inferior a 1% do quadro global.

O anúncio chegou por memorando interno do CEO Dara Khosrowshahi, que descreveu os cortes como necessários para "maximizar a eficácia da equipe de pessoas e o enorme potencial à frente" — uma linguagem de recalibração estratégica, não de resposta a uma crise. A nova presidente da companhia reforçou a mensagem em comunicado separado aos funcionários desligados, apontando o problema central: a divisão havia crescido de forma desordenada, com responsabilidades sobrepostas, propriedade de funções pouco definida e equipes distantes das unidades de negócio que deveriam apoiar.

Embora a Uber não tenha atribuído explicitamente os cortes à inteligência artificial, o contexto é revelador. Na mesma semana, a empresa confirmou alocações orçamentárias para ferramentas de IA agêntica — sistemas capazes de executar tarefas com mínima intervenção humana. O padrão é familiar em todo o setor de tecnologia: à medida que a automação absorve processos internos como agendamentos, administração de benefícios e consultas rotineiras, as equipes que antes realizavam essas funções manualmente se tornam redundantes.

A abordagem da Uber se distingue pela contenção — sem congelamento de contratações, sem demissões em massa. Os cortes foram cirúrgicos, limitados a uma divisão com ineficiências estruturais identificadas. Mas a lógica subjacente é a mesma que move o restante da indústria: a automação reduz a necessidade de trabalho humano em determinadas funções, e as empresas avançam rapidamente para capturar essa eficiência. Se o experimento no RH for bem-sucedido, a pressão para replicar o modelo em outros departamentos pode ser difícil de resistir.

On Wednesday, Uber announced a significant restructuring of its human resources division, eliminating 23 percent of positions within that department. The company, which employs roughly 34,000 people worldwide, did not disclose the exact number of workers affected, though a spokesperson characterized the reduction as representing less than one percent of the global workforce.

The announcement came via internal memo from CEO Dara Khosrowshahi, who framed the cuts as necessary to "maximize the effectiveness of the people team and the enormous potential ahead." The language suggested not a crisis response but a deliberate organizational recalibration—a reshaping of how the company manages its human capital infrastructure.

Uber's newly appointed president reinforced this message in a separate communication to departing employees. She described the goal as building "a more connected, modern, and operationally excellent organization." Her memo identified the core problem: the HR division had grown unwieldy. Responsibilities overlapped. Ownership of specific functions remained unclear. Teams operated at a distance from the business units and partner networks they were meant to support. In her view, the division had become fragmented and unnecessarily complex.

While Uber did not explicitly attribute the layoffs to artificial intelligence, the timing and context suggest automation played a role. This week, the company confirmed it had established budget allocations for agentic AI tools—software systems capable of performing tasks with minimal human intervention—for its workforce. The move follows a pattern visible across the technology sector: as companies deploy AI to automate internal processes, they simultaneously reduce the teams that once performed those functions manually.

The restructuring reflects a broader industry shift. Other major tech firms have similarly reorganized their internal support divisions as they implement AI-driven automation. What was once handled by a larger HR team—scheduling, benefits administration, routine employee inquiries, data processing—can now be managed by algorithmic systems. The efficiency gains are real, though the human cost is equally concrete: people lose their jobs, often with limited notice.

Uber's approach differs from some competitors in its restraint. The company characterized the reduction as modest relative to its total headcount, and it did not announce a company-wide hiring freeze or broader layoff wave. The cuts were surgical, targeted at a single division deemed to have structural inefficiencies. Yet the underlying logic is the same as elsewhere in tech: automation reduces the need for human labor in certain roles, and companies are moving quickly to capture those savings.

What remains unclear is whether this restructuring will extend beyond HR. If the experiment succeeds—if the division operates more efficiently with fewer people and more AI support—pressure may mount to apply the same logic to other departments. For now, Uber has signaled that this is a one-time adjustment to a specific organizational problem. Whether that holds depends on how the market responds and how the technology performs in practice.

Changes are necessary to maximize the effectiveness of the people team and the enormous potential ahead
— CEO Dara Khosrowshahi
The HR division had become complex and fragmented, with overlapping responsibilities and teams operating too far from the business units they support
— Uber's newly appointed president
A Conversa do Hearth Outra perspectiva sobre a história
Inventor

Why did Uber wait until now to restructure HR? Was there a specific trigger?

Model

The company didn't say there was a crisis. It framed this as proactive—recognizing that the division had become bloated and fragmented over time. But the timing matters. They're doing this as AI tools become capable enough to handle routine HR tasks. The technology made the restructuring possible.

Inventor

Did they fire people because of AI, or did they use AI as cover for cuts they wanted to make anyway?

Model

Probably both. The division genuinely had overlapping responsibilities and unclear ownership. That's a real organizational problem. But they wouldn't have been able to eliminate 23 percent of those jobs without AI tools to absorb the work. The technology enabled the decision.

Inventor

How many people actually lost their jobs?

Model

Uber won't say exactly. They said it's less than one percent of 34,000 employees globally, so fewer than 340 people. But that's still hundreds of people without work. The vagueness is telling—it lets them minimize the human impact in public messaging.

Inventor

Is this the start of something bigger at Uber?

Model

That's the real question. If this works—if HR runs smoothly with fewer people and more automation—then yes, other departments will face the same pressure. Uber is essentially running an experiment in AI-driven workforce reduction.

Inventor

What did the CEO actually say about why this was necessary?

Model

He used the language of optimization and potential. "Maximize effectiveness." "Enormous potential ahead." He didn't mention AI directly. He talked about the division being complex and fragmented, teams operating too far from the business. It's the kind of language that makes restructuring sound inevitable and rational, not like a choice driven by technology.

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