2 Sources
[1]
SK Hynix plans to double wafer capacity in next five years, group chairman says
TAIPEI, June 2 (Reuters) - The chairman of South Korea's SK Group said on Tuesday its memory chip unit SK Hynix (000660.KS), opens new tab aims to double wafer capacity over the next five years. Chey Tae-won was speaking at the Computex conference in Taipei, where executives from some of the world's top technology companies, including Nvidia (NVDA.O), opens new tab, are gathering. Chey, who warned in March that a global chip wafer shortage was likely to persist until 2030, also said the company needs more partnerships in Taiwan, not just with TSMC (2330.TW), opens new tab, the world's largest contract chipmaker. He added that he hopes his company can be a major high-bandwidth memory (HBM) supplier for Nvidia's Vera Rubin system. Last week, SK Hynix topped $1 trillion in market value for the first time, joining rivals Samsung Electronics (005930.KS), opens new tab and Micron Technology (MU.O), opens new tab in reaching the milestone on an AI-driven rally. SK Hynix, Nvidia's leading supplier of HBM chips, held a 58% share in the global HBM market in the first quarter, followed by Samsung and Micron, each with a 21% share, according to Counterpoint Research. Chey's comments come as some analysts say the AI boom is reshaping the traditionally cyclical memory industry. Goldman Sachs raised its 2028 operating profit forecasts for SK Hynix and Samsung Electronics by 24% and 23.3%, respectively, to 454 trillion won ($299.62 billion) and 610 trillion won, citing sustained AI-driven demand. Reporting By Wen-Yee Lee and Heekyong Yang; Editing by Anne Marie Roantree and Muralikumar Anantharaman Our Standards: The Thomson Reuters Trust Principles., opens new tab
[2]
SK Hynix plans to double wafer capacity over next five years By Investing.com
Investing.com -- SK Hynix aims to double its wafer capacity over the next five years, according to an announcement made Tuesday by Chey Tae-won, chairman of parent company SK Group. The expansion comes as artificial intelligence-driven demand positions the South Korean memory-chip maker within an industry boom. Chey spoke at the Computex conference in Taipei, where executives from major technology companies are gathering. "We are going to double the whole capacity over the next five years ... there are a lot of obstacles and hurdles, but we will get over them and expand," Chey told reporters, according to Reuters. The SK Group chief repeated his view that memory supply bottlenecks could continue through 2030, a forecast he first made in March. Chey said that Nvidia's upcoming AI personal computer architecture would require substantial amounts of memory, supporting long-term demand growth. He added that he hopes SK Hynix can become a major HBM supplier for Nvidia's Vera Rubin system. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
Share
Copy Link
SK Hynix announced plans to double its wafer capacity over the next five years, driven by surging demand for high-bandwidth memory chips used in AI systems. Chairman Chey Tae-won warned that memory supply bottlenecks could persist through 2030, while expressing hopes to become a major HBM supplier for Nvidia's upcoming Vera Rubin system.
SK Hynix aims to double wafer capacity over the next five years, a bold expansion plan announced by Chey Tae-won, chairman of parent company SK Group, at the Computex conference in Taipei
1
. The South Korean memory chip unit is positioning itself to capture growing demand for high-bandwidth memory (HBM) chips, which have become critical components in artificial intelligence systems. "We are going to double the whole capacity over the next five years ... there are a lot of obstacles and hurdles, but we will get over them and expand," Chey told reporters2
.
Source: Reuters
Chey Tae-won reiterated warnings he first issued in March about persistent chip wafer shortage conditions, stating that memory supply bottlenecks are likely to continue through 2030
1
. This forecast underscores the structural shifts occurring in the memory industry as AI applications consume unprecedented amounts of memory resources. The SK Group chairman emphasized that Nvidia's upcoming AI personal computer architecture would require substantial amounts of memory, supporting long-term demand growth2
. Chey also noted the company needs more partnerships in Taiwan, not just with TSMC, the world's largest contract chipmaker1
.SK Hynix has emerged as Nvidia's leading supplier of HBM chips, commanding a 58% share in the global HBM market in the first quarter, followed by Samsung and Micron, each with a 21% share, according to Counterpoint Research
1
. Chey expressed hopes that his company can become a major high-bandwidth memory supplier for the Nvidia Vera Rubin system, the next generation of AI computing platforms1
. Last week, SK Hynix topped $1 trillion in market value for the first time, joining rivals Samsung Electronics and Micron Technology in reaching the milestone on an AI-driven rally1
.The AI boom is fundamentally transforming the traditionally cyclical memory industry, with analysts projecting sustained growth rather than the boom-bust patterns that have historically characterized the sector
1
. Goldman Sachs raised its 2028 operating profit forecasts for SK Hynix and Samsung Electronics by 24% and 23.3%, respectively, to 454 trillion won ($299.62 billion) and 610 trillion won, citing sustained AI-driven demand1
. This shift signals that memory manufacturers may need to maintain aggressive capacity expansion plans to meet the voracious appetite of AI workloads, which require far more memory bandwidth than traditional computing applications.🟡 untrained_text_content=🟡### SK Hynix Plans Massive Expansion Amid AI-Driven DemandSK Hynix aims to double wafer capacity over the next five years, a bold expansion plan announced by Chey Tae-won, chairman of parent company SK Group, at the Computex conference in Taipei
1
. The South Korean memory chip unit is positioning itself to capture growing demand for high-bandwidth memory (HBM) chips, which have become critical components in artificial intelligence systems. "We are going to double the whole capacity over the next five years ... there are a lot of obstacles and hurdles, but we will get over them and expand," Chey told reporters2
.
Source: Reuters
Chey Tae-won reiterated warnings he first issued in March about persistent chip wafer shortage conditions, stating that memory supply bottlenecks are likely to continue through 2030
1
. This forecast underscores the structural shifts occurring in the memory industry as AI applications consume unprecedented amounts of memory resources. The SK Group chairman emphasized that Nvidia's upcoming AI personal computer architecture would require substantial amounts of memory, supporting long-term demand growth2
. Chey also noted the company needs more partnerships in Taiwan, not just with TSMC, the world's largest contract chipmaker1
.Related Stories
SK Hynix has emerged as Nvidia's leading supplier of HBM chips, commanding a 58% share in the global HBM market in the first quarter, followed by Samsung and Micron, each with a 21% share, according to Counterpoint Research
1
. Chey expressed hopes that his company can become a major high-bandwidth memory supplier for the Nvidia Vera Rubin system, the next generation of AI computing platforms1
. Last week, SK Hynix topped $1 trillion in market value for the first time, joining rivals Samsung Electronics and Micron Technology in reaching the milestone on an AI-driven rally1
.The AI boom is fundamentally transforming the traditionally cyclical memory industry, with analysts projecting sustained growth rather than the boom-bust patterns that have historically characterized the sector
1
. Goldman Sachs raised its 2028 operating profit forecasts for SK Hynix and Samsung Electronics by 24% and 23.3%, respectively, to 454 trillion won ($299.62 billion) and 610 trillion won, citing sustained AI-driven demand1
. This shift signals that memory manufacturers may need to maintain aggressive capacity expansion plans to meet the voracious appetite of AI workloads, which require far more memory bandwidth than traditional computing applications.Summarized by
Navi
13 Jan 2026•Business and Economy

Yesterday•Business and Economy

24 Jul 2025•Business and Economy

1
Technology

2
Business and Economy

3
Health
