AI Demand Fuels Memory-Chip Stock Rally, Analysts Warn of Boom-Bust Risk

The boom in AI accelerators has turned high-bandwidth memory into the memory industry's priority product. Samsung Electronics, SK hynix and Micron are steering constrained wafer capacity toward HBM, which consumes more manufacturing capacity per bit than conventional DRAM. That shift leaves fewer chips for PCs, smartphones and general-purpose servers, making the price surge more than a cyclical rebound and raising the risk that expensive memory will weigh on device demand and data-center budgets.

On Aug. 26, South Korea's Trade Statistics Promotion Institute said the DRAM export unit price for Aug. 1-20 reached $92,183 per kilogram, up 401% from a year earlier and 12.5 times the January 2023 trough of about $7,400. One kilogram was worth the equivalent of 620 grams of gold. TrendForce expects HBM to absorb 30% of the top three suppliers' DRAM wafer input by end-2027, while Goldman Sachs forecasts the DRAM supply deficit will widen to 5.9% in 2027 from 5.0% in 2026.

The expansion of artificial-intelligence data centers has made high-bandwidth memory, or HBM, a key growth engine for the memory-chip industry. Ouroboros Capital argues that rising AI infrastructure demand and long-term supply agreements could improve cash-flow visibility for producers. Over time, that shift may prompt investors to value memory shares less as volatile cyclical trades and more as businesses capable of generating durable free cash flow.

Ouroboros Capital warned that the recent selloff may not be over, attributing the pressure largely to crowded investor positioning and results that failed to meet elevated expectations. With positions not yet fully unwound, memory shares could extend their decline and test new lows in the near term. The fund remains constructive on the longer-term outlook for HBM and AI-related demand. As of Aug. 12, 2026, the cited report provided no specific decline, monetary figure or timetable for a market bottom.

Demand for high-bandwidth memory and advanced chips surged with the expansion of AI training, but a recent pullback in memory shares raised concerns that the industry cycle may be weakening. Morgan Stanley argues the retreat is a temporary disruption within an AI supercycle, as the rise of agentic AI and inference workloads makes memory an increasingly critical bottleneck for computing capacity.

Morgan Stanley’s semiconductor analyst has turned bullish on the memory sector after adopting a bearish view in July, saying the positioning correction is nearing an end. In the latest report, the analyst estimated that both Samsung Electronics and SK Hynix offer potential share-price upside of more than 60%, supported by growing memory requirements from agentic AI systems and inference workloads.

Demand for AI computing from Nvidia, Microsoft and other cloud giants has propelled high-bandwidth memory, or HBM, into a supercycle. Producing HBM requires 3 to 4 times as much wafer capacity as conventional DRAM, severely crowding out capacity and creating a global supply imbalance. South Korea's Samsung and SK hynix command more than 80% of the market and dominate global pricing, while Taiwan has secured positions in the middle and downstream segments through advanced packaging and specialty chips. The supply chain has consequently become a focal point of global technology competition.

BlockTempo reported on July 14, 2026, that IBM warned customer stockpiling of memory was crowding out its orders, sending its shares down 24%. Barclays, meanwhile, assigned an “Overweight” rating to SK hynix's U.S.-listed ADR, with a $330 price target. The South Korean government also announced an investment plan to help Samsung and SK hynix double their DRAM production capacity by 2030.

The expansion of AI server capacity has fueled demand for HBM and DRAM, making memory stocks a focus for investors as supply-demand conditions improve and prices recover. Morgan Stanley said industry fundamentals remain solid, but crowded positioning and the long-term risk of chip price deflation could cause share-price momentum to cool before earnings growth does.

Morgan Stanley warned in its latest report that the explosive rally in memory stocks is nearing an end and that they could follow Nvidia's pattern of strong fundamentals but prolonged sideways trading. The related coverage did not disclose the report's publication date, price targets or monetary figures, shifting the focus to stock selection and the need for investors to assess HBM competitiveness and the durability of earnings.

The memory industry is highly exposed to supply-and-demand cycles, and declines in DRAM prices and related stocks are often seen as signals of a downturn. Samsung Securities analyst Lee Jong-wook views the latest selloff as a correction within the cycle. He says infrastructure demand from AI companies such as OpenAI and Anthropic is a better gauge of the memory market’s direction than short-term price swings.

Lee recently said falling DRAM prices and the sharp drop in memory stocks did not mean the cycle had peaked. Investment in AI infrastructure is still accelerating, leaving room for further demand growth. He recommended continuing to track OpenAI’s and Anthropic’s business performance and capital-spending plans. As of July 20, 2026, available information did not disclose any investment amount or the report’s exact publication date.