Citigroup: AI continuous learning will extend the storage supply shortage until 2031
Citigroup analysts pointed out that leading memory chip manufacturers are expected to benefit from the structural changes in the development of artificial intelligence. The agency anticipates that continuous learning will drive a significant increase in memory demand, leading to a supply shortage in the market that will continue until 2031. Continuous learning strengthens models by training on new tasks and knowledge, which will create a sustained demand for model updates and access to historical data, driving the storage usage of products such as HBM, server DDR5, and eSSD.Citigroup expects HBM bit demand to grow by 62% year-on-year to 75.2 billion gigabits in 2027, and by 69% year-on-year to 127 billion gigabits in 2028. Global DRAM demand is expected to grow by 30% and 35% year-on-year in 2027 and 2028, respectively, while supply is expected to grow by only 19% and 22% during the same period, resulting in supply-demand ratios of -8.7% and -9.7%. In terms of NAND, demand is expected to grow by 29% and 33% year-on-year in 2027 and 2028, respectively, exceeding supply growth of 21% and 25%, with supply-demand ratios of -6.1% and -5.5%.Citigroup's preferred storage targets include Samsung Electronics, SK Hynix, Micron, Sandisk, and Kioxia, corresponding to the logic of storage shortages brought about by continuous learning, demand for HBM and server DDR5, DRAM supply shortages, and tightening supply of high-density eSSD and NAND.