Meta 正在其资料中心积极测试和导入多种机器人，以执行插拔线缆、重启伺服器、运输机架及追踪库存等日常维运工作。这项长期计划旨在控制随著人工智慧基础设施支出激增而上升的人力成本，并逐步扩展在爱荷华州和俄亥俄州等地的自动化测试范围。

引进机器人引发了现场技术人员对工作被取代和薪资技能贬值的广泛焦虑，尽管 Meta 官方强调对技术劳工的需求依然强劲，并推出相关技能培训计划。此外，科技公司以往常以创造就业机会来换取地方税收减免，未来随著自动化普及，这一承诺可能面临政策与法规的重新检视。

目前资料中心机器人仍面临许多技术限制，例如充电停机时间长、移动速度较慢、难以辨识特定讯号灯颜色，以及无法胜任复杂的硬体布线任务。由于现有设备大多专为人类双手设计，完全实现自动化运作仍需要时间对基础设施进行重新设计与适应。

Meta is actively testing and deploying various robots across its data centers to handle routine operational tasks such as swapping cables, power-cycling servers, moving heavy racks, and tracking inventory. This long-term initiative aims to keep labor costs in check amid soaring AI infrastructure spending, with pilot tests expanding in locations like Iowa and Ohio.

The rollout of robotics has sparked anxiety among technicians over potential job displacement and the de-skilling of their roles, even as Meta insists that demand for skilled labor remains robust and invests in workforce training programs. Furthermore, the prospect of reduced human staffing could challenge the traditional justification of job creation used to secure local tax breaks.

Despite promising trials, data center robots currently face significant technical limitations, including frequent charging downtime, slow movement speeds, difficulty distinguishing certain indicator lights, and challenges with intricate cabling. Because hardware has historically been designed for human hands, achieving full operational automation will require substantial redesign and adaptation over time.