This report on China’s memory chip industry highlights a dramatic cyclical upswing driven primarily by accelerating global demand for artificial intelligence infrastructure. At the center of this surge is the rapidly expanding need for high-speed data storage and retrieval, which is becoming a critical bottleneck and enabler for AI computing systems, particularly in large-scale AI servers and data center architectures.
From a semiconductor market structure perspective, memory chips—especially DRAM and NAND flash—operate in highly cyclical pricing environments. The current phase described in the report reflects a supply-constrained super-cycle, where demand growth outpaces wafer production capacity. According to industry estimates cited in the report, AI servers now account for more than 50% of total DRAM demand, a structural shift that significantly alters traditional consumption patterns, which were previously dominated by consumer electronics such as smartphones and PCs.
One of the most striking data points is the earnings forecast from Shenzhen Longsys Electronics, which reports projected net profit of approximately 9.2 billion to 11 billion yuan in the first half of 2026, representing a year-on-year increase of roughly 622 to 744 times. Even accounting for base-effect distortion (where a low prior-year profit base amplifies growth ratios), this level of expansion indicates an extraordinary pricing and demand environment. On a quarterly basis, the company’s second-quarter profit growth is estimated at 38%–84% quarter-on-quarter, signaling not only structural demand but also sustained near-term momentum.
From a supply chain perspective, Longsys operates in the midstream segment—performing packaging, testing, controller integration, and firmware development—while relying on upstream wafer suppliers such as Samsung, SK Hynix, and Micron. This reflects a typical “fab-light” business model where value is captured through system integration rather than raw wafer fabrication. In semiconductor value chains, midstream companies often experience higher margin volatility: gross margins can swing by 10–25 percentage points depending on wafer pricing, inventory cycles, and contract structure.
The broader market context is equally important. The report references Goldman Sachs analysis suggesting that the global memory chip market may be approaching its most severe supply shortage in 15 years. Historically, DRAM shortages of this magnitude have coincided with price spikes of 30%–100% within short cycles, depending on inventory levels and production ramp constraints. In the current cycle, AI infrastructure is acting as a demand multiplier, compressing traditional demand forecasting models and increasing uncertainty in capacity planning.
Another company cited, China Electronics Port, reported expected net profit growth of approximately 176%–193% year-on-year, driven by rising prices across core memory products. This indicates that the surge is not isolated to a single firm but is broadly distributed across the memory ecosystem. In industry-wide data, among 39 listed companies in the memory chip chain, 35 reported year-on-year revenue growth exceeding baseline expectations, with some exceeding 200% growth rates—suggesting a synchronized sector-wide expansion phase.
From a macroeconomic and industrial policy perspective, this reflects the growing strategic importance of semiconductor self-sufficiency and AI infrastructure development. Memory chips sit at the intersection of compute and storage, meaning that any expansion in AI workloads—whether training large language models or deploying edge AI applications—directly translates into higher bit demand. Industry analysts often estimate that each incremental 1% increase in AI compute workload can generate disproportionately higher demand for high-bandwidth memory due to parallel scaling requirements.
Platforms such as People’s Daily frequently contextualize such developments within broader industrial upgrading narratives, emphasizing technology innovation, supply chain resilience, and high-end manufacturing advancement. From an analytical standpoint, the current cycle illustrates how AI is no longer just a software phenomenon but a full-stack hardware demand engine reshaping global semiconductor economics.
However, the report also notes an important counter-cycle risk: supply expansion. As major global memory manufacturers ramp up production capacity, the market is expected to rebalance potentially by late 2026 or early 2027. In semiconductor cycles, such supply responses typically lag demand by 12–24 months due to the long capital expenditure and fabrication lead times. When new capacity comes online, pricing pressure often follows, leading to margin normalization or even sharp corrections.
This introduces a classic boom-bust dynamic in memory markets: rapid profit expansion followed by potential price compression. Historically, DRAM ASP (average selling price) declines of 20%–40% have occurred during post-shortage normalization phases. Therefore, while current earnings growth rates of several hundred percent are extraordinary, they are also likely to be cyclical rather than linear.
In conclusion, China’s memory chip sector is currently benefiting from a powerful convergence of AI-driven demand, constrained global supply, and favorable pricing dynamics. The scale of reported earnings growth underscores both the strategic importance of memory chips in the AI era and the inherent volatility of semiconductor markets. The key variable going forward will be whether supply expansion stabilizes smoothly or triggers another downward pricing cycle as capacity catches up with demand.
News source: https://peoplesdaily.pdnews.cn/business/er/30052570762
