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On August 29, Meta is testing robots for the maintenance of its AI system's data centers, with applications including replacing network cables, rebooting servers, transporting cabinets, and conducting equipment inspections. The robots currently being tested by Meta are from Watney Robotics, Kinova, and ABB. These robots still face issues such as slow operation speed, limited battery life, difficulties in visual inspection, and challenges in navigating dense cabling and complex obstacles, requiring human supervision and assistance. However, a Meta employee estimated that if the cable replacement robots become fully operational, up to 80% of the work in some positions could be replaced by machines, although this figure is a personal estimate and not an official prediction from Meta. As AI infrastructure continues to expand, Meta is facing a shortage of technical personnel in data centers while also exploring the use of robots to reduce operational costs. Meta stated that the U.S. is experiencing the largest infrastructure construction boom since World War II, and the company is facing a severe shortage of skilled workers, thus 'needing more workers, not fewer.' However, employees are concerned that robots may reduce the demand for experienced technicians and shift remaining work to lower-paid employees who would execute tasks based on AI-generated instructions. Currently, Meta's robots are still unable to independently perform complex repairs, but their further development could redefine whether the expansion of AI data centers creates more jobs or accelerates the automation of technical positions.

On August 29, Meta is testing robots for the maintenance of data centers that support its artificial intelligence systems. The applications include replacing network cables, rebooting servers, moving cabinets, and conducting equipment inspections. The robots currently being tested by Meta are from Watney Robotics, Kinova, and ABB. These robots still face challenges such as slow operation speeds, limited battery life, difficulties in visual inspections, and struggles with dense cabling and complex obstacles, requiring human supervision and assistance. However, a Meta employee estimates that if cable replacement robots mature, up to 80% of the work in some positions could be replaced by machines; this figure is a personal estimate and not an official prediction from Meta. As AI infrastructure continues to expand, Meta is facing a shortage of technical personnel in data centers while also exploring how robots can reduce operational costs. Meta stated that the U.S. is experiencing the largest infrastructure construction boom since World War II, and the company is facing a severe shortage of technical workers, thus "requiring more workers, not fewer." However, employees are concerned that robots may reduce the demand for experienced technicians and shift the remaining work to lower-paid employees who execute tasks based on AI-generated instructions. Currently, Meta's robots cannot independently perform complex repairs, but their further development could redefine whether the expansion of AI data centers creates more jobs or accelerates the automation of technical positions.

On August 29, Qualcomm announced its plan to initiate a long-term robotics investment program in Japan, centered around the newly established Qualcomm Japan Robotics Center. The initiative aims to collaborate with Japanese robotics, industrial automation, research, and technology companies to create an open physical AI ecosystem. Qualcomm stated that the program is designed to promote technological innovation and industrial upgrades in Japan's robotics, physical AI, and industrial automation sectors, while also addressing the country's needs for labor shortages, enhancing industrial competitiveness, and expanding AI and robotics applications. The Qualcomm Japan Robotics Center will be responsible for application research and development, industrial ecosystem collaboration, talent cultivation, and robotics innovation. Participating organizations include Japanese companies and research institutions such as Fanuc, Kawasaki Heavy Industries, Toyota, Sony, Panasonic, Fujitsu, NEC, NTT DOCOMO, KDDI, and Preferred Networks. This investment plan covers the complete lifecycle of robotics from technology research and development to commercialization and global expansion, focusing on four main pillars: establishing a robotics R&D center, expanding the industrial ecosystem, promoting the global commercialization of Japanese robotics companies, and supporting demonstrative physical AI projects. Qualcomm aims to assist Japanese robotics startups, developers, and research institutions in accelerating innovation by providing chip platforms, technical support, development resources, and access to a global network of customers and partners, facilitating the transition of Japanese robotics solutions from the domestic market to the global stage.