SK Hynix says memory shortages to persist until 2030
First reported by The Register ·
Memory chip prices are set to rise further for the remainder of the decade.
SK Hynix has projected a persistent global shortage of memory chips that will extend through 2030. The company attributes this to a rapidly accelerating demand driven by AI infrastructure investments, autonomous vehicles, and robotics, outpacing its ability to increase production. SK Hynix reported record quarterly revenue of ₩104.6 trillion ($78.1 billion) and an operating profit of ₩87.68 trillion ($62.8 billion), significantly higher year-over-year, bolstered by long-term supply agreements that ensure stable profitability. Despite efforts to expand manufacturing capacity, the company anticipates that technical complexities and lengthy build times for new facilities will prevent supply from meeting demand for the foreseeable future. This scarcity is expected to reduce shipment volumes for PCs and mobile devices due to increased memory costs.
The extended memory shortage, predicted by SK Hynix to last until 2030, signals a prolonged period of high demand for AI-specific hardware, including high-bandwidth memory (HBM). This continued scarcity will likely keep prices elevated, directly impacting the cost of AI infrastructure development and deployment for enterprises and cloud providers. Companies relying on these components may need to re-evaluate their long-term procurement strategies and potentially accelerate investment in alternative or more efficient memory solutions.
SK Hynix's forecast also suggests a strategic shift in the semiconductor market, where AI-driven demand is now a dominant, long-term factor that eclipses traditional consumer electronics markets like PCs and smartphones. The company's focus on HBM4 and advanced DDR5/LPDDR5 for AI servers, along with NAND optimization for AI services, indicates a prioritization of high-margin, performance-critical components. This focus may lead to further supply constraints and price increases for these specialized memory types, influencing R&D and product roadmaps across the tech industry.
AI-written summary. May contain errors.