SK Hynix to Double Memory-Chip Wafer Production to Tackle AI Memory Shortage by 2030

June 2, 2026
SK Hynix to Double Memory-Chip Wafer Production to Tackle AI Memory Shortage by 2030
  • SK Hynix will double its memory-chip wafer production capacity over the next five years to address a persistent AI memory shortage expected to last through 2030, announced by chairman Chey Tae-won at Computex in Taipei.

  • The expansion coincides with SK Hynix surpassing $1 trillion in market value and positions the company to lead the AI-driven memory cycle, maintaining a strong HBM market share amid competition from Samsung and Micron.

  • Chey emphasized that success depends on meeting customer demand and sustaining high-level collaboration with TSMC, while downplaying direct pros/cons comparisons between TSMC’s model and Samsung’s integrated memory-foundry approach.

  • The cost of the buildout was not disclosed, with prices for land, equipment, and electricity cited as variables that make the total uncertain.

  • HBM4E roadmap will be guided by customer demand, with Nvidia currently the only confirmed customer for HBM4E.

  • Hynix aims to be a major supplier for Nvidia’s Vera Rubin AI platform and broader future Nvidia AI processors, highlighting ongoing collaboration with Nvidia and TSMC.

  • A standard industry disclaimer notes Meyka AI provides information for research purposes and is not financial advice.

  • Chey spoke at Computex in Taipei urging more partnerships in Taiwan beyond TSMC and cautioning that sustainable price growth is essential to protect the broader AI ecosystem.

  • He also called for expanding Taiwan partnerships and stressed that price increases must be sustainable to avoid harming AI deployment.

  • Q1 2026 results show revenue of about KRW 12.43 trillion and operating profit of KRW 5.29 trillion, with the stock around KRW 2.36 million and a small daily move.

  • Chey noted that bottlenecks in AI go beyond GPUs and memory to supply-chain constraints like power, water, equipment, and land that could become scarce.

  • Industry trends supporting expansion include rising AI infrastructure spending, demand for HBM4/HBM4E, ongoing memory shortages through 2027, higher server memory content per system, and growing advanced packaging needs.

Summary based on 8 sources


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