Meta Tests Robots to Automate Data Center Server Maintenance and Cable Swapping
Inside Meta’s Push to Put Robots to Work in Data Centers
Meta is testing autonomous robots and specialized hardware inside its data centers to handle physical tasks like plugging in cables and resetting servers, according to current and former workers familiar with the projects. The ongoing initiative aims to offset soaring artificial intelligence infrastructure spending by operating rapidly expanding data center footprints with fewer human technicians.
The Tech TL;DR:
- Deployment Scope: Meta is actively testing hardware from multiple robotics vendors—including Watney Robotics, Kinova, and ABB—inside its data center facilities.
- Hardware Tasks: Experiments include evaluating a Kinova Gen3 robotic arm for power cycling servers and utilizing specialized devices to swap networking cables and push physical power buttons.
- Labor Impact: Internal estimates suggest successful automation could replace up to 80 percent of specific technician workloads, sparking workforce reduction concerns as capital expenditure on AI surges.
Hardware Benchmarks and Vendor Integration
The push toward automation relies on hardware from several robotics firms. According to workers familiar with the initiatives who spoke on the condition of anonymity, Meta has integrated products from Kinova, ABB, and Watney Robotics into experimental testing environments. Kinova and ABB declined to comment on the deployments, while Watney did not respond to inquiries.
In one specific evaluation documented by workers, engineers tested whether a Kinova Gen3 robotic arm could reliably execute power cycling, or cutting off and restoring electricity to servers. Other tests involve distinct robotic units engineered to swap networking cables autonomously. At select facilities, the company has also deployed simpler mechanical solutions, including a device resembling a finger or pointer stick designed to physically press the power button on Mac Mini units and other hardware to initiate remote reboots.
These trials represent a significant evolution in physical data center operations. Historically, data center robotics faced severe limitations due to high costs and mechanical imprecision. Early industry trials frequently resulted in crushed servers during rudimentary manipulation tasks, according to individuals briefed on past experiments. However, falling hardware costs and substantial advancements in foundation AI models powering robotic kinematics have made automated component handling viable.
Labor Implications and Corporate Strategy
One Meta data center worker estimated that successful automation could eliminate up to 80 percent of routine physical workloads for certain teams. “We thought those of us performing the physical tasks were safe for a while, but not anymore,” said a worker familiar with the testing. “It’s coming for us all, unfortunately.”
Meta declined to comment directly on the ongoing testing. However, company spokesperson Francis Brennan provided a statement emphasizing the company’s broader hiring investments. “America is in the middle of its biggest infrastructure boom since World War II, and there’s a major shortage of skilled workers to fill the roles; we need more workers, not fewer,” Brennan said.
The long-term roadmap aligns with statements made by Eric Xu, senior manager for robotics at Meta, during a conference last year. Xu outlined the company’s objective to integrate robots into data center operations to accelerate incident response times, execute continuous environmental monitoring, and handle preventative maintenance. “We believe more collaboration and research will be needed, but we have to start, otherwise we don’t have a chance to do this,” Xu stated.
Implementation and Future Scaling Challenges
Proponents of data center automation argue that robots provide consistent operational output at lower long-term costs, particularly in remote regions where data centers are densely clustered but qualified technical labor is scarce. Similar to how AI agents assist software engineers with repetitive code refactoring, supporters suggest robots absorb dangerous and repetitive maintenance tasks, allowing human technicians to focus on complex architectural troubleshooting. Longer-term projections suggest that eliminating human operators entirely could enable data center deployment in extreme environments, such as underwater or in space.