If you've been wondering why high-end GPUs and AI servers are so expensive, here's your answer. The RAM shortage isn't going away anytime soon, and it could seriously impact AI development timelines.
According to Nikkei Asia, memory manufacturers will only meet about 60 percent of demand by the end of 2027, even as they scramble to build new production facilities. SK Group's chairman went further, suggesting shortages could persist until 2030.
The big three memory makers (Samsung, SK Hynix, and Micron) are all adding fabrication capacity, but almost none of it comes online before 2027 or 2028. SK Hynix opened one new fab in Cheongju in February, but that's the only production increase among the three for all of 2026.
To actually meet demand, production would need to grow 12 percent annually in both 2026 and 2027. That's not happening with current expansion plans.
For anyone building AI products or running inference workloads, this means continued high costs for memory and compute. It also means the hardware bottleneck will likely constrain how quickly new AI capabilities can scale, regardless of algorithmic improvements.
The shortage is driven by explosive demand for high-bandwidth memory (HBM) used in AI accelerators. Every new model, every scaling experiment, every production deployment needs more RAM than the last generation.
