South Korea Reverts to Nuclear Energy to Fuel Massive AI and Chip Fabs

South Korea urgently pivots back to nuclear energy to power massive semiconductor clusters and AI data centers, facing a 24.7 GW deficit and water supply bottlenecks that threaten its tech ambitions.

By Inside AI Editorial Team July 13, 2026
Editorial Process
AI neural network visualization

July 13, 2026, (Inside AI) — South Korea is making an abrupt U-turn on energy policy, reviving nuclear power to fuel a colossal expansion of semiconductor fabrication plants and AI data centers. The government has concluded that renewables alone cannot meet the relentless 24/7 baseload demand of these mega-projects, abandoning its post-Fukushima nuclear phase-out.

The pivot is driven by sheer necessity. A new southwestern semiconductor cluster for Samsung Electronics and SK hynix, coupled with massive AI data centers, will require an additional 24.7 gigawatts (GW) of generation capacity. This comes on top of a national grid already straining toward a projected peak demand of 129.3 GW by 2038. A separate chip cluster in Yongin demands another 15 GW.

Time is the immediate enemy. The first southwestern fabs are slated to open by 2030, but new nuclear reactors take at least seven to ten years to build. The initial four fabs alone will draw 6.3 GW, forcing planners to lean on the existing Hanbit Nuclear Power Plant, solar power, and energy storage systems as a stopgap.

Industry leaders are pressing for more. Samsung Electronics Vice Chairman Jun Young-hyun recently urged the government to expand nuclear power and liquefied natural gas (LNG) cogeneration without fail. Climate, Energy and Environment Minister Kim Sung-whan echoed this, confirming that new reactors are highly likely if the southwest cluster scales up to match the Yongin project.

Officials are discussing adding four new reactors to the Hanbit and Saeul sites, leveraging existing infrastructure to bypass lengthy permitting. State-run Korea Hydro & Nuclear Power recently selected Yeongdeok for two large-scale 2.8 GW reactors and pinpointed Busan's Gijang County for a 700-megawatt small modular reactor (SMR).

But electricity is only half the story. The southwestern cluster also needs 650,000 tons of water daily for cooling and operations, risking environmental damage and conflicts with agriculture. The government plans to upgrade existing infrastructure rather than build new dams, raising the Dongbok Dam to secure 300,000 tons per day and tapping the Juam and Jangheung dams for the rest.

South Korea's nuclear reversal mirrors a global trend. Nations from Japan to France are extending reactor lifespans or building new ones to meet AI-driven energy demands. The International Energy Agency projects data center electricity consumption could double by 2030, reaching 1,000 terawatt-hours. In the U.S., tech giants are striking direct deals with nuclear operators, while small modular reactors attract billions in investment.

Yet critics warn of nuclear's long lead times and cost overruns. South Korea's own experience with the Shin Hanul reactors saw delays and budget blowouts. The government's bet on SMRs remains unproven at scale, with no commercial SMR operating globally. The water crunch adds another layer of complexity, as climate change intensifies droughts in the region.

Ultimately, South Korea's computing expansion is no longer just a tech investment story. It is a high-stakes energy infrastructure problem. If power and water delivery arrive late, billions of dollars in digital infrastructure will sit completely useless.

More from Inside AI

  • Uncategorized

    New York Nurses Replaced by AI at Montefiore Hospital Spark Contract Dispute

    July 13, 2026
  • Uncategorized

    China Launches AI Safety Benchmark to Regulate Large Models

    July 13, 2026
  • Uncategorized

    How Retail Debt Crashed South Korea’s AI-Led Stock Market

    July 13, 2026
  • Uncategorized

    US University of Chicago Law School Bans Laptops to Combat AI in Classrooms

    July 13, 2026
  • Uncategorized

    China’s Dongfang Suanxin Reveals AI Chip Road Map to Challenge Nvidia

    July 13, 2026
  • Uncategorized

    How AI Adoption Is Challenging Modular Business Structures

    July 13, 2026
  • Uncategorized

    Japan’s AI Adoption Lags the U.S. in Numbers but Leads in Depth

    July 13, 2026
  • Agentic AI

    Ghostcommit Attack Uses Images to Turn AI Coding Assistants Into Secret Thieves

    July 13, 2026

Never Miss a Breakthrough

Join 50,000+ readers who get our daily AI intelligence briefing. No fluff, just what matters.

Inside AI is an independent publication covering artificial intelligence news, machine learning research, and the tools shaping the future of technology. No hype. Just what's happening in the AI world.

Topics

  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • Agentic AI
  • Vibe Coding
  • Prompt Engineering
  • AI Tools & Reviews (Coming soon)

Company

  • Editorial Standards
  • Privacy Policy
  • Terms of Service
  • Contact
  • About Us

Others

  • Press Releases

© 2026 Inside AI. All rights reserved.

Designed by Blue Flare Digital