Meta is conducting trials of robotic systems within its data centers to automate tasks traditionally performed by human technicians, according to current and former workers. The company is evaluating equipment from vendors including Watney Robotics, Kinova, and ABB for various applications. In particular, Meta is assessing whether a Kinova robotic arm could handle power cycling servers and testing another robot designed to swap networking cables. One worker estimated such automation could replace as much as 80 percent of certain job functions if deployed successfully.
The experimentation reflects a broader industry shift enabled by technological advances. Until recently, robots lacked the precision and affordability needed for delicate data center operations and often damaged equipment during trials. However, recent improvements in hardware costs and artificial intelligence capabilities have made such systems increasingly viable. Industry observers note that robots could provide consistent output at lower costs than human workers, particularly in regions where qualified technicians are scarce relative to data center locations.
Proponents of automation argue it could benefit workers by eliminating repetitive and dangerous tasks while allowing technicians to focus on more complex maintenance and problem-solving. Longer-term applications could include operating data centers in extreme environments such as underwater or space facilities. Meta spokesperson Francis Brennan stated the company remains committed to hiring and training workers, noting a shortage of skilled workers across the nation’s infrastructure expansion. The company has launched a training program offering free instruction in electrical, mechanical, and plumbing work, with employment guarantees in several states.
However, data center workers express concern about job displacement. Worker discussions in Altoona, Iowa, where Meta operates its largest facility, reflect anxiety about automation timelines. Some workers also report that Meta is developing AI systems to enable hiring of lower-skilled workers and centralizing certain roles in more financially advantageous locations. While local officials have not prioritized automation concerns in discussions about tax incentives for data centers, communities are increasingly reconsidering such agreements as they evaluate broader impacts on employment and local economies.
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