# 2025–present global memory supply shortage A global shortage of DRAM and NAND flash memory began in 2025, driven by AI demand and manufacturing reallocation, causing price surges and supply constraints across consumer and enterprise markets. The 2025–present global memory supply shortage is an ongoing period of constrained supply and rapid price escalation in the semiconductor memory market, particularly affecting DRAM and NAND flash integrated circuits. The shortage has been referred to in media outlets as "RAMmageddon" or the "RAMpocalypse". Unlike the 2020–2023 global chip shortage, which stemmed primarily from pandemic-related supply chain disruptions, this shortage is driven by the AI boom and involves the reallocation of manufacturing capacity toward products intended for AI data center development, creating scarcity in integrated circuits for consumer and enterprise markets. The shortage emerged after a severe market downturn in 2022–2023, during which major memory manufacturers - Samsung Electronics, SK Hynix, and Micron Technology - implemented strategic production cuts to stabilize pricing. By mid-2024, the rapid expansion of generative AI services triggered unprecedented demand for specialized memory products, particularly high-bandwidth memory (HBM) used in AI accelerators and data center GPUs. According to a 2026 Kearney PERLab analysis, the shortage is expected to last at least until 2030. In June 2026, Micron CEO Sanjay Mehrotra expected the shortage to last through 2027, with supply gradually improving by 2028. In August 2026, Jason Kong of Samsung Electronics expected the shortage to continue through 2028, while Kwak Noh-Jung of SK Hynix expected it to persist until 2030. ## Background Following the 2022–2023 market downturn, memory manufacturers cut production capacity to restore profitability. However, the rise of [generative AI](https://www.wikiprompt.org/wiki/generative-ai) and [large language models](https://www.wikiprompt.org/wiki/large-language-model) drove explosive demand for HBM and enterprise SSDs. Specialized components of semiconductor technology also experienced supply constraints due to high demand in AI applications. For example, glass cloth - a high-performance glass fiber substrate used for power-efficient high-speed data transfer and a crucial component of semiconductor manufacturing - faced a supply crisis. Nitto Boseki, a Japanese firm with a dominant share in its production, could not meet increased demand, making chip-makers such as [Qualcomm](https://www.wikiprompt.org/wiki/qualcomm), [Apple](https://www.wikiprompt.org/wiki/apple), [Nvidia](https://www.wikiprompt.org/wiki/nvidia), and [AMD](https://www.wikiprompt.org/wiki/amd) compete for securing supply. Smaller electronics companies struggled to find suppliers for components such as NAND flash. Memory suppliers adapted to increased demand and market unpredictability by requiring prepayment or shorter payment timeframes, making it more difficult for smaller firms to acquire capital to survive. By 2026, due to steadily increased demand on resources, CPUs also experienced shortage issues due to low fabrication capacity, prioritization of server CPUs, and increased demand, with CPU prices forecast to increase by as much as 15%. The demand on memory also increased strain on other electronic components such as hard disk drives, with reports such as Western Digital's hard disk supply for 2026 being booked for enterprise applications before February 2026. A 2024 McKinsey analysis projected that global demand for AI-ready data center capacity would grow at approximately 33% annually through 2030, with AI workloads consuming roughly 70% of total data center capacity by the decade's end. In addition, according to Kearney's State of Semiconductor 2025 Report, executives were already expecting a shortage in the sub-8 nm feature size, with memory chips being mentioned as an acute source of concern. Multiple companies mentioned being prepared for it through long-term agreements with RAM suppliers or amassing additional inventory. ## Development On March 24, 2026, [Google](https://www.wikiprompt.org/wiki/google) announced TurboQuant, a memory compression technology focused on large language models and vector search engines, which it claimed achieves six times lower memory consumption in tested local LLMs and an eight-fold performance enhancement in tests running on H100 accelerators. The technology is also a drop-in enhancement for existing inference pipelines. Amid speculation about memory demand trends, memory manufacturers such as Sandisk, Micron, Western Digital, and Seagate experienced stock price declines. Prices of memory kits also declined in the following months, although they remained at inflated levels. In August 2026, [Intel](https://www.wikiprompt.org/wiki/intel) hinted it was investigating a new memory architecture. On July 8, 2026, Micron announced it had broken ground on a new $9.3 billion fab for memory production, expected to start production in Q3 2028. ## Causes ### HBM production displacement HBM manufacturing requires significantly more wafer capacity per bit than standard DRAM modules. As manufacturers allocated increasing wafer capacity to HBM production to meet contracts with AI infrastructure providers, the supply of conventional DDR4 and DDR5 modules for consumer PCs and smartphones contracted sharply. By September 2025, Samsung Electronics had reportedly expanded its 1c DRAM capacity to target 60,000 wafers per month specifically for HBM4 production, further diverting resources from consumer memory lines. ### Geopolitical and trade barriers The supply chain was further constrained by escalating trade tensions between the United States and China. Throughout 2025, fears of U.S. regulatory backlash and new tariff structures led major manufacturers like Samsung and SK Hynix to halt sales of older semiconductor manufacturing equipment to Chinese entities, effectively capping production capacity in the region. Additionally, proposed tariff policies by the U.S. administration in late 2025 prompted supply chain realignments, with Apple reportedly accelerating plans to source all U.S.-bound iPhones from India to avoid potential levies. ### NAND flash capacity constraints In the NAND flash segment, manufacturers prioritized higher-margin enterprise SSDs for data center applications while phasing out older process nodes more rapidly than anticipated. In November 2025, contract prices for NAND wafers increased by more than 60% month-over-month for certain product categories, with 512 GB TLC experiencing the steepest rise as legacy manufacturing capacity was retired. ## Impact on other industries ### Memory manufacturer responses Samsung expressed concern about the possibility of a demand shortfall by 2028. Chey Tae-won, Chairman of SK Group, estimated the memory shortage would last until 2030. In 2026, Kye-hyun Kyung, advisor to Samsung and former head of Samsung's chip group, suggested memory prices could drop within a year, while Adata chairman Chen Li-bai claimed the DRAM shortage would last for 10 years, arguing that future AI memory demand was underestimated. ### PC manufacturers Major PC manufacturers responded to component cost increases with significant price raises and supply chain strategies. Dell Technologies Chief Operating Officer Jeff Clarke stated during a November 2025 analyst call that the company had "never witnessed costs escalating at the current pace", describing tighter availability across DRAM, hard drives, and NAND flash memory. Analysts at Morgan Stanley noted that consumer PC prices rose by an average of 12% in the fourth quarter of 2025, with further increases expected through 2026 as manufacturers passed on higher component costs. ### AI industry The shortage had a paradoxical effect on the [AI industry](https://www.wikiprompt.org/wiki/ai-boom) itself. While AI data center operators benefited from increased memory allocation for HBM, the [inference](https://www.wikiprompt.org/wiki/inference) costs for some AI models rose due to scarcity of conventional server memory, prompting a shift toward more memory-efficient algorithms and model compression techniques. Some companies began exploring alternative memory technologies, but most remained dependent on the established DRAM and NAND supply chains. ### Consumer electronics Smartphone and laptop manufacturers faced delays in product launches and reduced configurations due to memory shortages. Some mid-range smartphones shipped with less RAM than originally planned, and PC makers reduced base memory configurations to manage costs. Console manufacturers also felt the impact, with reports of potential price increases for next-generation gaming hardware. ## Outlook The shortage is projected to persist through the late 2020s, with varying forecasts. Micron's Sanjay Mehrotra expected supply to gradually improve by 2028, while SK Hynix's Kwak Noh-Jung anticipated continuation until 2030. The resolution depends on several factors: the pace of new fab construction, the rate of HBM adoption, potential shifts in AI infrastructure spending, and whether consumer memory demand recovers as anticipated. As of 2026, memory prices remained elevated, with manufacturers continuing to prioritize high-margin AI-related products over consumer units, suggesting that market equilibrium would not be restored in the near term. ## See also - [DeepSeek R1](https://www.wikiprompt.org/wiki/deepseek-r1-2025) - [OpenAI GPT-5](https://www.wikiprompt.org/wiki/openai-gpt-5-2025) - [U.S. executive order on AI](https://www.wikiprompt.org/wiki/us-executive-order-2025-ai) - [EU AI Act](https://www.wikiprompt.org/wiki/eu-ai-act-2025) ## External links - [Wikipedia: 2025–present global memory supply shortage](https://en.wikipedia.org/wiki/2025–present_global_memory_supply_shortage) --- Source: https://www.wikiprompt.org/wiki/2025-present-global-memory-supply-shortage License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/) Last updated: 2026-11-09T12:23:03.051802+00:00