AI-Driven Memory Shortage Upends IT Budgets

As AI infrastructure expands rapidly, demand for advanced memory has surged, leading to a structural shortage of DRAM and NAND flash components. This crisis has destabilized enterprise budgets while d... Read original →

The AI infrastructure boom is triggering a structural realignment across the memory stack: surging demand for HBM and DDR5 is cannibalizing DDR4/LPDDR4 capacity, pushing server BOM costs up over 125%. TSMC in Taiwan, China is expanding CoWoS packaging, but EUV tool delays bottleneck HBM3E ramp. Samsung and SK Hynix are reallocating NAND output to high-margin enterprise SSDs, worsening consumer-grade shortages. U.S.-led export controls on lithography tools impair Kioxia and Micron’s yield ramp, elevating supply chain fragility. Over the next 12–24 months, volatile pricing will become the norm; cloud providers passing hardware costs to customers will force SaaS repricing, while mid-tier enterprises adopt hybrid memory architectures to defer upgrades. This isn’t a cyclical shortage—it’s a paradigm shift driven by AI compute demands, with dislocation persisting well into 2027.