Meta is actively testing a range of sophisticated robots designed to automate critical tasks within its sprawling data centers, including cable management, server resets, and other essential maintenance operations. This previously undisclosed initiative, confirmed by current and former Meta employees with direct knowledge of the projects, signals a significant strategic pivot for the tech giant. The company aims to leverage robotic automation to manage its rapidly expanding data center footprint with a reduced reliance on human labor. This move is strategically timed to coincide with Meta’s escalating investments in artificial intelligence infrastructure, where operational efficiency and cost containment are paramount.
The deployment of these advanced robotic systems involves hardware from multiple leading vendors, identified by sources familiar with the matter as Watney Robotics, Kinova, and ABB. These same individuals, who requested anonymity due to their unauthorized status to speak with the media, provided details on the specific trials underway. Representatives from Kinova and ABB declined to comment on Meta’s reported activities, while Watney Robotics did not respond to requests for information.
One prominent experiment involves the evaluation of Kinova’s Gen3 robotic arm for the crucial task of power cycling servers—essentially, the controlled interruption and restoration of electrical power. Concurrently, Meta is assessing a separate robotic solution for the automated swapping of networking cables. A Meta data center worker, speaking on condition of anonymity, estimated that if these robotic implementations prove successful, they could potentially automate up to 80 percent of the workload currently performed by some human technicians. "We thought those of us performing the physical tasks were safe for a while, but not anymore," the worker stated. "It’s coming for us all, unfortunately."
In a less complex but equally revealing demonstration of its automation ambitions, Meta has reportedly integrated a simpler robotic device into select facilities. Described as resembling a "finger" or a "pointy stick," this robot is capable of pressing the power button on devices like Mac Minis to initiate restarts, responding to remote human prompts. This subtle integration highlights Meta’s systematic approach to introducing automation across various levels of data center operations.
Meta declined to offer specific comment on the robot testing detailed in this report. However, company spokesperson Francis Brennan issued a statement emphasizing Meta’s significant ongoing investment in training and hiring personnel to construct and manage its data centers. "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 stated, framing the company’s labor strategy within the broader context of national infrastructure development.
A Vision for Automated Data Centers
Despite the company’s public stance on workforce expansion, Meta’s internal discussions and presentations reveal a longer-term vision for extensive robotic integration. At a conference last year, Eric Xu, Senior Manager for Robotics at Meta, articulated the company’s "long-term goals" to deploy robots within data centers. He argued that such automation could significantly enhance incident response times, improve environmental monitoring, and streamline preventative maintenance procedures. "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 remarked, underscoring the proactive approach Meta is taking in this field.
Historically, robots have faced significant challenges in performing the precise and delicate tasks required within data centers. Early iterations were often prohibitively expensive, and initial industry trials were plagued by instances of equipment damage. However, advancements in hardware affordability and the significant evolution of AI models powering robotic systems have dramatically improved their capabilities. A burgeoning ecosystem of startups is now focused on developing commercial robots adept at server assembly, component replacement, and intricate wiring tasks.
Economic and Operational Drivers of Automation
The potential for robots to deliver more consistent performance at a reduced operational cost compared to human labor is a primary driver for their adoption. This is particularly relevant in less densely populated regions where data centers are abundant, but a scarcity of qualified human workers poses a significant challenge. Proponents of this technological shift also champion a pro-worker narrative, suggesting that robots can assume the most repetitive and potentially hazardous duties, thereby freeing human technicians to focus on more complex problem-solving and oversight. Looking further ahead, the complete removal of human presence from data center environments could unlock the feasibility of operating facilities in extreme or inhospitable locations, such as underwater, in space, or in other extraterrestrial settings.
Paul Golding, who oversees "physical intelligence" at chipmaker Analog Devices, noted the increasing demand for such solutions. "More and more of our customers are telling us ‘we want to run our data centers using humanoid [robots]’ because you can run them at higher temperatures, in the dark, and all these things," Golding stated, highlighting the industry’s growing interest in robust automation.
The Unseen Robotic Revolution and Community Impact
The increasing integration of robots into data center operations has largely escaped the attention of activist groups campaigning against the proliferation of these facilities. Tech companies frequently highlight the job creation aspect of data centers as a key justification for securing tax incentives. In Altoona, Iowa, for instance, Meta operates its largest data center campus, employing hundreds of individuals. The facility, established in 2014, benefits from substantial property tax abatements, enabling Meta to realize annual savings in the tens of millions of dollars—a concession local authorities have viewed as a favorable trade-off for the economic boost and enhanced community profile derived from Meta’s presence.
However, within worker communication channels in Altoona, a palpable sense of unease has emerged. "Saying we’re all going to be gone in a few years anyway because of the robots," a source familiar with these discussions reported. Even if the pace of robotic adoption proves slower than anticipated, concerns linger about a potential decline in the quality and skill level of available jobs. Some workers believe Meta is developing AI software and related technologies that will enable the hiring of less-skilled and therefore lower-paid personnel. Furthermore, there is a perceived trend towards centralizing certain roles in more cost-effective locations, such as Denver, Colorado.
"They no longer want people who can think independently, come up with creative solutions, or perform complex troubleshooting," one Meta data center worker lamented. "They want ‘smart hands,’ people who are just capable enough to follow AI instructions and not mess anything up."
Meta maintains that its demand for skilled labor remains robust. This year, the company launched a comprehensive training program, "America’s Workforce Academy," designed to equip thousands of individuals annually with skills in electrical, mechanical, and plumbing trades at no personal cost. Meta has committed to offering employment in states like Louisiana, Ohio, Indiana, and Texas to program graduates and has also partnered with trade unions to support apprenticeship initiatives.
Nevertheless, as communities re-evaluate data center tax abatements and consider new regulatory frameworks for the industry, the potential for job displacement due to automation warrants serious consideration. Altoona Mayor Dean O’Connor acknowledged that while he hasn’t extensively contemplated robots replacing jobs at Meta’s data center, he views automation as an inevitable development. "We will deal with it as it comes," he stated.
Navigating the Complexities of Data Center Automation
Early Adoptions and Emerging Challenges
Meta has been an early adopter of robotics within its data center environment, showcasing its use of a self-driving tugger robot for transporting heavy server racks and an in-house developed, barcode-reading robot for inventory tracking in a 2023 video. This initiative is part of a broader industry trend, with Microsoft and Google announcing similar investments in data center robotics in subsequent years, and Amazon exploring robotic applications for electronic component recycling.
Ashley Llorens, a managing director at Microsoft’s research accelerator, confirmed the company’s active pursuit of robotics for "economically valuable tasks," such as "replacing a faulty server rack," indicating a shared strategic direction across major tech players.
The tugger and inventory robots are reportedly operational in several Meta data centers, including those in Iowa and Virginia. While generally performing well, these systems exhibit limitations. The inventory bot, for instance, struggles to differentiate between status indicator lights on equipment due to its grayscale camera, necessitating continued human oversight for certain diagnostic checks. Its navigation is also hampered by obstacles like data center corners and the ubiquitous network cables, requiring human intervention for relocation between buildings and door operations. Furthermore, the inventory bot has been described as too slow, leading Meta to explore—and ultimately, reportedly abandon—the use of drones as a potentially faster alternative.
Prototyping and Development Hubs
Meta frequently utilizes its Altoona data center campus as a proving ground for new technologies. Mayor O’Connor noted, "What they do here in Altoona, they take to their other sites and put that in place there," underscoring the site’s strategic importance in Meta’s innovation pipeline.
Since June of the previous year, Meta has been trialing a pair of dual-armed Watney robots for cabling tasks within an Altoona facility. These robots operate under human supervision and, while not yet matching human speeds, demonstrate significant promise. Watney, a startup founded in 2023, initially showcased a laundry-folding robot before pivoting to data center automation early last year, according to archived website information.
Further robotic testing is underway at Meta’s newest data center campus, codenamed Prometheus, in New Albany, Ohio. Here, four-wheeled robots equipped with scissor-lift risers and six-axis arms, manufactured by ABB, are being employed for reseating server components. A source familiar with the project indicated that these robots are expected to take on additional tasks with progressively less human oversight.
However, the complete displacement of human workers by robots is far from a foregone conclusion. Helen Oleynikova, CEO of Exclaim Robotics, a company developing robotic solutions for data center component replacement and cable resets, stated, "There’s been a lot of pilots and demos, but no provable working solution."
Workers within Meta’s data centers have raised concerns about the considerable downtime required for robot battery recharging. Internally, Meta has also acknowledged that current robotic capabilities are insufficient for certain demanding tasks, such as the intricate cabling required for high-performance computing systems like NVIDIA GB300 supercomputers. "Things have been designed for human hands forever to make everything a five-minute repair," observed a former Meta employee. "Redesigning everything will take time." Yet, the persistent development and testing suggest a determined push toward preparing these robotic systems for broader deployment.
