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As If There Was Any Question About Data Centers Being Weak Job Creators, Meta Is Now Deploying Robots to Maintain Them

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Why This Matters

Meta's deployment of robots for data center maintenance signals a significant shift towards automation, potentially reducing human labor costs and transforming the industry’s approach to infrastructure management. This development highlights the increasing role of robotics and AI in operational efficiency, which could impact employment and operational practices across tech companies and data centers worldwide.

Key Takeaways

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Since the start of the data center boom, “job creation” was one of the key promises made to communities weighing whether to host the tech industry’s monstrous computing facilities in their backyards.

That was always a gross over-representation of the facts, as most labor required for data centers comes in the form of temporary construction jobs to build them. Still, the tech tycoons who need data centers to keep the AI revolution chugging along could always fall back on promoting the lonely skeleton crews tasked with manually monitoring, patrolling, and maintaining each facility.

Now, even that could be going away.

According to new reporting by Ars Technica, the AI giant Meta is testing new robots designed to automate the work of data center maintenance, with the aim of keeping the cost of labor even lower.

The initiative is in its very early stages, per Ars, involving trial runs of hardware from a few different robotics firms. These include companies like ABB, Kinova, and Watney Robotics, which supply robot arms being tested for tasks like hot-swapping network cables and cycling power to server racks.

One anonymous Meta staffer told Ars that, if it’s successful, a robotic arm from Kinova could replace up to 80 percent of their the facilities’ workload.

“We thought those of us performing the physical tasks were safe for a while, but not anymore,” the worker lamented. “It’s coming for us all, unfortunately.”

The bulk of data center overhead comes from the hardware itself, particularly the extremely pricey AI chips needed to run high-powered large language models. Even when factoring in construction the human labor cost of data centers is negligible, meaning Meta is going far out of its way to automate maintenance work.

Approached for comment by Ars, a Meta spokesperson declined to comment on the testing of robots for data center work.

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