Conventional DRAM and NAND supply (HBM crowding-out)
constraint a named mechanism, not a conclusion
HBM and enterprise allocation consume the wafer capacity that would otherwise make conventional DRAM and NAND, so AI demand reaches non-AI companies as a cost shock. Conventional DRAM contract prices rose 90-95% QoQ in 1Q26 and a further 58-63% in 2Q26; memory is going from ~20% to over 30% of device bill-of-materials. This is the channel by which the AI buildout binds companies that have nothing to do with AI.
The path
| node | effect |
|---|---|
| Consumer Electronics Demand (Smartphone + PC) | -1.00 |
| Apple Inc. | -0.55 |
| Hyperscaler | -0.25 |
| Samsung Electronics | +0.80 |
| SK Hynix | +0.80 |
| Micron Technology | +0.80 |
coverage
Scored on 6 subjects: 3 bound by it, 3 own the scarce thing and are made more valuable by it. Severity is graded by hand against a stated scale, not computed — the sign here is a judgement, and the magnitude is that grade.
Arguments about this mechanism
None yet. No thesis names this mechanism’s subject, which is a gap in the bank rather than a fact about the mechanism.
Arguments that run through it
These name a node on the path rather than the subject, so they pass through this mechanism without being about it. Shown separately and never graded as claims about it — hubs above the graph’s own 90th-percentile degree are excluded, or every argument touching NVIDIA would attach to every mechanism NVIDIA touches.