Meta is actively piloting robotic hardware from Watney Robotics, Kinova, and ABB across its major server campuses--experimenting with automated cable-swapping, hardware reseating, and server power-cycling as physical maintenance becomes the next frontier of infrastructure automation.
As tech giants commit hundreds of billions of dollars to build out sprawling computing infrastructure for artificial intelligence, automation is expanding beyond software algorithms into physical server rooms. Reports have revealed that Meta is quietly testing robotic systems capable of performing hands-on IT technician duties inside its operational data centers, which might replace a portion of physical labour in the future. While autonomous machines have previously been used to move server racks or track parts inventory, these active trials push robotics directly into live hardware maintenance--including swapping fiber-optic networking cables, power-cycling unresponsive machines, and reseating server components.
What is Meta testing and who's helping it?
The ongoing trials are concentrated across Meta’s major infrastructure hubs, including its massive campus in Altoona, Iowa, and its newer Prometheus data center in New Albany, Ohio. Meta has partnered with specialized robotics manufacturers to test tailored mechanical arms for specific maintenance workflows:
Watney Robotics: Meta has been testing dual-armed robotic systems on high-density cabling tasks in Altoona, evaluating whether robotic grippers can reliably disconnect and reconnect delicate network cables.
Kinova: The company is utilizing Kinova Gen3 robotic arms to execute server power-cycling and trigger physical power buttons on specialized hardware rigs.
ABB: Four-wheeled automated platforms equipped with six-axis robotic arms are being evaluated at the Ohio facility for component reseating and module alignment.
Meta is testing robots to handle data center maintenance.
— Tech Ultimatum (@TechieUltimatum) August 28, 2026
The robots could:
• Swap server cables
• Power-cycle servers
• Reseat hardware
• Handle other repetitive tasks
One cable-swapping robot could potentially take on up to 80% of certain technician workloads.
AI…
Technical limitations and human supervision
Despite the ambitious scope of the pilots, the robotic systems remain far from fully autonomous and continue to operate under close human supervision. Current prototypes are significantly slower than trained human technicians and frequently face operational hurdles, such as battery-recharging downtime, difficulty navigating crowded data center floors, and grayscale optical sensors that struggle to distinguish red and green hardware status LEDs.
Furthermore, Meta has internally acknowledged that current robotics are not yet equipped to handle the delicate, high-density cabling required by ultra-dense computing clusters like Nvidia GB300 systems. A single mechanical error inside a tightly packed server rack can disrupt expensive enterprise workloads, making human oversight indispensable for the foreseeable future.
Implications for IT staffing and infrastructure scale
The trials highlight Meta’s long-term goal of scaling its server footprint without exponentially increasing on-site technician headcounts. While some workers estimate that perfected cable-swapping bots could eventually automate up to 80% of routine physical workloads, Meta maintains that rapid data center expansion still requires substantial human expertise. To support ongoing growth, the company continues to invest in workforce training programs aimed at certifying thousands of electrical, mechanical, and facilities technicians annually.
Meta is bringing humanoid and specialized robots directly onto the physical floors of its massive data centers.
— AIQUEST (@AiquestAcademy) August 30, 2026
The tech giant is actively testing these machines to handle routine technician tasks that traditionally require human hands. As data infrastructure scales to… pic.twitter.com/BQDK7xcS3c
Meta’s foray into robotic maintenance illustrates a fundamental truth about the AI race: the digital cloud still relies on messy, fragile physical machines. Deploying robotic arms to swap fiber cables and hit reset switches might seem unglamorous compared to generative AI models, but as server farms expand into multi-gigawatt campuses, physical automation becomes an operational necessity. While slow, clumsy grippers won't replace human technicians overnight, teaching machines to physically maintain the very hardware powering artificial intelligence is an inevitable milestone in infrastructure evolution.
(Feature image credits to: Ömer Sercan Karku/Anadolu via Getty Images.)
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