en.Wedoany.com Reported - South Korean President Lee Jae-myung stated on June 29 that the country must accelerate the construction of key areas such as chips, AI data centers, and Physical AI to seize a new round of industrial competitive advantages. The South Korean government will coordinate public and private resources to build a more complete AI ecosystem and expedite the completion of semiconductor production bases already under construction. Focusing on the three major directions of semiconductors, AI data centers, and Physical AI, South Korea plans to integrate chip manufacturing capabilities, computing power infrastructure, industrial data collection, and robot applications into a unified growth strategy, supporting the country's continued competitiveness in the manufacturing and high-end electronics industries in the AI era.
Lee Jae-myung referred to chips, AI data centers, and Physical AI as the key fulcrums for South Korea's next phase of industrial advancement. Semiconductors provide the hardware for computing power, AI data centers handle model training and inference demands, and Physical AI connects algorithms, robots, and industrial sites.
South Korea's semiconductor industry has long been concentrated around the capital region, with large-scale production bases and supply chain clusters formed in Yongin, Pyeongtaek, and other areas. As demand for AI servers, high-bandwidth memory, advanced processes, and packaging increases, the consumption of electricity, water, land, logistics, and talent by existing industrial clusters continues to escalate. Lee Jae-myung pointed out that the power and water supply capacity of the semiconductor clusters in Yongin and Pyeongtaek is nearing its limit, and South Korea needs to explore new investment locations to expand semiconductor production space in advance. The South Korean government aims to alleviate pressure on the capital region through new sites while enabling more areas to join the semiconductor and AI infrastructure construction chain.
The layout of AI data centers will shift from single-point concentration to nationwide expansion. Lee Jae-myung proposed that South Korea needs to expand AI data center construction across the country, allowing different regions to accommodate computing power infrastructure and industrial application demands. AI data centers are not just server rooms; they also involve power access, cooling systems, network interconnection, land resources, security compliance, and long-term operational costs. For a manufacturing-oriented country like South Korea, if computing power facilities are overly concentrated in the capital region, it will continue to heighten resource constraints and weaken the ability of local regions to adopt AI applications.
Physical AI is another key focus of this announcement. It emphasizes AI's transition from the digital space to the physical world, enabling robots, automation equipment, industrial production lines, logistics systems, and sensor networks to possess stronger perception, decision-making, and execution capabilities.
For Physical AI to develop, industrial data is first needed. A vast amount of machine operation data, quality inspection data, equipment status data, logistics scheduling data, and production process data is scattered across factories, parks, and equipment systems. South Korea plans to improve the industrial data collection and utilization system, channeling this data into model training, industrial optimization, and robot control processes. Chips and data centers provide computing power, industrial sites provide data, and Physical AI connects data with execution equipment, ultimately forming an application ecosystem oriented toward manufacturing, logistics, robotics, and automation services.
Regional balanced development is also incorporated into the AI infrastructure planning. Lee Jae-myung emphasized the need to alleviate the problem of excessive resource concentration in the capital region, allowing new semiconductor bases, AI data centers, and the Physical AI ecosystem to drive more areas to form industrial fulcrums. South Korea has historically relied on the capital region and a few large enterprises to build an efficient manufacturing system, but the constraints brought by concentrated electricity, water, land, and talent are becoming apparent. If AI infrastructure investment continues to follow a single-region agglomeration model, it may further exacerbate resource strain; however, if combined with local energy, land, ports, industrial parks, and university resources, it could create new regional growth belts.
For South Korean companies, this policy direction will directly impact Samsung Electronics, SK Hynix, data center operators, robotics companies, power and water resource agencies, engineering and construction firms, and local industrial parks. Semiconductor factories require stable electricity and large-scale water usage, AI data centers need low-cost energy and highly reliable networks, and Physical AI requires factory sites and industrial data. These three types of infrastructure are interdependent and will collectively determine whether South Korea can translate AI model capabilities into manufacturing upgrade capabilities.
By placing chips, AI data centers, and Physical AI within the same strategic framework, South Korea indicates that AI competition has extended beyond competition between individual models and companies to encompass competition in national-level infrastructure, energy resources, industrial data, and regional layout. Going forward, South Korea's new investment locations, power and water supply support, corporate investment scale, local government capacity, and the progress of AI data center deployment will determine whether this strategy can move from policy statements to engineering construction and industrial application stages.
This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com
