South Korea to spend $1T on more memory chip production and humanoid robots

2026-06-29 · Source: AI - Ars Technica · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Emerging Technologies & Innovation · Depth: Fundamental Awareness, short

Summary

South Korea's government and leading tech companies are investing \$1 trillion into megaprojects aimed at boosting global memory chip supply, establishing new AI data centers, and deploying humanoid robots by 2028. Samsung and SK Hynix are committing \$585 billion to construct new chip fabrication plants, with a goal to double dynamic random-access memory (DRAM) production within five years. Additionally, SK Group, GS Group, and Naver are investing \$357 billion in large-scale AI data centers across various provinces. Hyundai Motor Company is dedicating \$5.8 billion to a robot manufacturing facility, aiming to produce 30,000 Atlas humanoid robots annually by 2028 through its subsidiary, Boston Dynamics, and commercialize them in 10 industries. These initiatives face challenges including the long construction times for fabs, significant electricity and water demands (6.3 gigawatts for chips, 8 gigawatts for data centers), and resistance from labor unions regarding robot deployment and public debates on profit sharing.

Key takeaway

For executives in global tech manufacturing planning supply chain resilience, South Korea's \$1 trillion investment signals a significant future increase in memory chip availability and advanced robotics. You should assess your long-term procurement strategies for DRAM and consider the implications of widespread humanoid robot deployment on labor costs and factory automation. Be aware of potential delays in chip supply relief due to infrastructure build times and local labor resistance to automation.

Key insights

South Korea is making a massive, multi-faceted national investment to dominate key AI infrastructure and robotics.

Principles

• National strategic industry designation accelerates tech development.
• AI infrastructure requires substantial energy and water resources.
• Rapid technological shifts can create labor market tensions.

In practice

• Double DRAM production within five years.
• Commercialize humanoid robots in 10 major industries.
• Train 10,000 AI robotics specialists.

Topics

• Memory Chip Production
• AI Data Centers
• Humanoid Robotics
• South Korea Investment
• Semiconductor Fabs
• Physical AI

Best for: Investor, CTO, VP of Engineering/Data, Policy Maker, Executive, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI - Ars Technica.