South Korea, Taiwan top Japan in exports for first time on AI boom
SK hynix is boosting its semiconductor manufacturing capacity to meet the increasing demand for artificial intelligence (AI) memory, committing KRW 54 trillion ($40 billion) to new fabrication plants in Yongin and Cheongju. The company's board approved the investments on Aug. 7, with KRW 35.2 trillion earmarked for the Yongin Y2 fab at the Yongin Semiconductor Cluster and KRW 19.1 trillion for the Cheongju M17 fab.
This strategic move reflects SK hynix's belief that memory is becoming a vital infrastructure component directly impacting AI performance, and it sees the current semiconductor boom as a long-term trend rather than a temporary cycle. Market research firm Omdia predicts that both DRAM and NAND demand will grow at an average annual rate of about 19% from 2025 to 2030, driven by expanding AI data centers and rising computing workloads.
Industry analysts view the investment as a strategic decision to maintain SK hynix's leadership in high-performance AI memory and strengthen its broader semiconductor ecosystem. As demand for AI accelerators and data centers surges, the ability to secure stable supply capacity has become a critical competitive factor alongside technological prowess.
The Y2 facility in Yongin will specialize in advanced DRAM production, including next-generation High Bandwidth Memory (HBM), while the M17 fab in Cheongju will focus on expanding NAND production capacity to meet the growing demand for enterprise SSDs used in AI data centers. SK hynix's investment strategy allows for flexible expansion based on market demand, with the company planning to adjust cleanroom expansion and equipment installation based on actual customer needs.
This move is expected to bolster SK hynix's position in the global AI semiconductor supply chain and support Korea's semiconductor ecosystem by creating opportunities for suppliers, equipment companies, and local economies.
Written by urgent.news from Korea IT Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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