Service Hotline
Structural Supply Reallocation in the AI Full-Stack Era
Executive Summary
Since the second half of 2025, the global memory market has entered an unprecedented price surge.
Unlike previous cycles driven by consumer electronics demand, this round of price inflation is fundamentally driven by AI data center expansion, particularly the rapid growth of High Bandwidth Memory (HBM).
At its core, this is not a short-term supply–demand imbalance, but a structural reallocation of semiconductor manufacturing resources driven by the rise of AI full-stack strategies.
1. HBM Is Reshaping the Memory Supply Structure
The current price surge is not the result of broad demand growth across end markets. Instead, it originates from a fundamental shift on the supply side.
1. The Capacity “Crowding-Out” Effect of HBM
Industry consensus indicates that:
Producing 1 GB of HBM consumes roughly three times the wafer capacity required for conventional DDR5 DRAM.
HBM manufacturing involves TSV (Through-Silicon Via) technology, multi-layer vertical stacking, and heavy reliance on advanced packaging lines. These processes impose significantly higher requirements in terms of manufacturing time, yield management, and equipment availability than standard DRAM.
Given the physical limits on global wafer output, rapid HBM capacity expansion directly reduces the supply available for general-purpose DRAM.
2. Strategic Allocation of Resources Toward AI
Faced with long-term, high-margin orders from AI server customers, leading memory manufacturers such as Samsung Electronics, SK hynix, and Micron have prioritized:
Advanced process nodes
Incremental wafer capacity
Advanced packaging resources
for HBM and server-grade DRAM.
While commercially rational, this decision has led to an intentional contraction in the supply of commodity DRAM and NAND, pushing prices higher across the market.
2. Why This Price Cycle Is Likely to Last Longer
Multiple market institutions project that the current memory upcycle could extend through 2027, with meaningful supply relief unlikely before 2028. This view is grounded in three structural constraints.
1. Memory Makers’ Allocation Strategy Remains Unchanged
According to TrendForce and other industry observers, through at least early 2026, most newly added capacity and advanced manufacturing resources will continue to be allocated toward AI-related products.
Given the significantly higher profitability of HBM and server DRAM, manufacturers have limited incentive to rapidly expand supply for lower-margin commodity memory.
2. Cloud Service Providers Are Locking in Future Supply
Major North American cloud service providers (CSPs) are securing memory capacity through long-term, volume-locked contracts, often at elevated prices.
This behavior effectively pulls future supply forward and reinforces a seller-dominated market structure, further sustaining upward price pressure.
3. Physical Limits of Semiconductor Expansion
Even when expansion decisions are made, the path from equipment orders to meaningful output—including delivery, installation, cleanroom preparation, and yield ramp-up—typically requires 9–12 months or longer.
As a result, near-term capacity expansion is unlikely to materially alleviate supply constraints.
3. AI-Driven Profit Redistribution Across the Supply Chain
A defining feature of this cycle is the concentration of profits at the memory manufacturer level.
Market estimates suggest that rising memory prices may push operating margins at leading memory suppliers to historic highs—potentially surpassing those of leading foundries during peak periods.
In contrast, downstream manufacturers face increasing cost pressure:
Memory’s share of smartphone bill-of-materials has risen from 10–15% to over 20%
Mid- and low-end devices are particularly exposed
PC, automotive, and consumer electronics manufacturers are responding through price increases, configuration adjustments, or shipment reductions
Although AI does not directly serve all end markets, its demand for foundational computing resources is transmitting cost pressure throughout the entire electronics ecosystem.
4. From Commodity Component to AI Infrastructure
The role of memory is fundamentally changing.
Samsung SDS’s AI full-stack strategy illustrates this shift clearly. Rather than focusing on individual products, the strategy emphasizes long-term infrastructure capabilities across:
Data centers
Enterprise AI
Industry-specific intelligence
Within this framework, memory is no longer a fungible commodity, but a strategic infrastructure asset essential to AI systems.
This helps explain why memory suppliers are incentivized to maintain a tight supply balance rather than aggressively expanding output to normalize prices.
5. Conclusion: A Structural Transformation, Not a Cyclical Anomaly
In summary, the current rise in memory prices is not a temporary market fluctuation, but the result of:
A fundamental reordering of semiconductor resource allocation driven by AI.
As long as AI investment and compute infrastructure expansion continue, HBM will keep absorbing wafer and packaging capacity, and memory pricing will remain structurally elevated.
This is not a repetition of past memory cycles—it represents a shift in industry structure and value distribution.
