Three Tech Giants Secure 85% of AI's Scarcest Asset, Says Morgan Stanley
Yahoo Finance ·
According to Morgan Stanley, high bandwidth memory, which serves as a major bottleneck in artificial intelligence infrastructure, has seen 85% of its upcoming production locked down in advance by three major corporations: Nvidia, Alphabet, and Advanced Micro Devices. HBM is a specialized DRAM variant frequently paired with AI accelerators to minimize latency and maximize operational efficiency. As the primary focus of AI workloads transitions from model training to inference, requirements for HBM have surged significantly. Concurrently, HBM manufacturing capacity stays restricted due to several key elements. First, top memory producers like SK Hynix, Samsung, and Micron require scarce extreme ultraviolet lithography machines from ASML, whose output grows at roughly 30% annually. Furthermore, building an HBM chip demands over three times the wafer capacity utilized for standard DRAM production. Finally, establishing new manufacturing clean rooms typically requires a timeframe of a couple of years.
AI 시장 분석
According to Morgan Stanley, three big tech companies including NVDA, GOOGL, and AMD have pre-empted 85% of next year's HBM production, deepening supply bottlenecks. While HBM demand is surging due to the shift toward inference-centric AI workloads, supply constraints persist due to EUV equipment shortages and triple the wafer consumption. Investors must closely monitor the pricing power of memory semiconductor suppliers and the supply-demand trends of large tech stocks.
상승 영향
- Semiconductors — Due to surging HBM demand and 85% pre-emption, the pricing power and profitability of memory manufacturers such as SK Hynix, Samsung Electronics, and Micron will significantly improve.
- AI — The top three big tech companies including NVDA, GOOGL, and AMD have secured HBM volume, solidifying their competitive advantage in the next-generation AI infrastructure market.
하락 영향
- Consumer Goods — Semiconductor supply bottlenecks and high infrastructure setup costs may cause cost increases across IT, acting as margin pressure for the final consumer goods sector.
DYAX 전담 분석
As HBM demand—crucial for optimizing AI accelerator performance—significantly outpaces supply, pressure for earnings improvement among related semiconductor companies is mounting. In particular, due to EUV equipment limitations and long cleanroom construction periods, the supply shortage exhibits structural characteristics that are difficult to resolve in the short term.
In the bullish scenario, memory manufacturers with HBM production monopolies and big tech companies that secured preempted volume will enjoy a premium and drive stock price gains. Conversely, in the bearish scenario, overall IT investment sentiment could contract as AI infrastructure expansion is delayed due to supply chain bottlenecks, making it necessary to watch ASML's equipment delivery speed and memory makers' yield improvement indicators.
AI가 생성한 분석으로 투자 자문이 아닙니다.
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