AI in Business

The HBM Memory Supercycle

SK Hynix · Semiconductors / memory · 2023–2026 Intermediate

For decades, memory chips were a brutal commodity business: cyclical, margin-crushing, mostly ignored. Then AI accelerators turned high-bandwidth memory into the hottest product in tech. Nvidia's Blackwell B200 packed roughly 192 gigabytes of HBM per card, more than double its predecessor, and multiplied across hundreds of thousands of GPUs, demand became staggering. SK Hynix, the South Korean maker that moved early and hard, held over half the market by early 2026 and had sold out its capacity for the year, while Micron and Samsung scrambled to catch up.

For founders and operators, this case sharpens how you spot a sleepy, undifferentiated input that a single shift in demand can suddenly make strategic. It trains you to look at the parts of your own supply chain everyone treats as interchangeable and ask who is positioned to capture the value when one of them becomes the bottleneck. Why SK Hynix's early bet paid the way it did is the part to uncover.

Topics
  • HBM
  • SK Hynix
  • high-bandwidth memory
  • Nvidia Blackwell
  • Micron
  • Samsung
  • DRAM
  • AI chips
  • commodity to strategic
  • supply bottleneck

Frequently asked questions

What is the HBM memory supercycle?

High-bandwidth memory (HBM) went from a sleepy commodity to the hottest product in tech because AI accelerators need it. Memory chips were long a brutal, cyclical, margin-crushing business, but AI turned HBM strategic. SK Hynix moved early and hard to capture it.

How much of the HBM market did SK Hynix hold?

SK Hynix held over half the HBM market by early 2026 and had sold out its capacity for the year, while Micron and Samsung scrambled to catch up. Nvidia's Blackwell B200 packed roughly 192 gigabytes of HBM per card, more than double its predecessor, multiplying demand across hundreds of thousands of GPUs. SK Hynix's early bet paid off.

Why did HBM go from commodity to strategic?

Because a single shift in demand, AI accelerators, turned an undifferentiated input into the critical bottleneck for the whole AI buildout. Memory that was once ignored became the product everyone needed and could not get. The shift made early movers like SK Hynix dominant.

What can founders learn from the HBM supercycle?

Look at the parts of your supply chain everyone treats as interchangeable and ask who is positioned to capture the value when one of them suddenly becomes the bottleneck. A sleepy input can turn strategic overnight. CaseBook turns this into a move you apply to your own company, with an AI coach that reads your answer.

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