
Publier
Katherine smil
HBM supply/demand is flashing 3 signals. AI compute might be the biggest beta trade from 2024-2026.
1. Training → Inference shift. Training growth is slowing. Inference demand is exploding. That’s the pivot.
2. HBM revenue +60% YoY. This is the cleanest proxy for AI compute. Micron GM at 35% confirms the cycle has flipped from losses to profit.
But don’t YOLO. Discipline > predictions. Scale in tranches.
How to track it:
- Is HBM capacity actually shipping?
- Are margins sustainable?
- Is client capex rotating from training to inference?
Strong demand ≠ automatic FCF for every supplier.
My 3-layer check:
1. Order backlog + utilization
2. Pricing, yields, and capex alignment
3. Cross-check with peers, equipment makers, and cloud buyers
If price runs but fundamentals lag, treat it as a trade, not an investment.
Risks: AI narratives price the future early. Supply ramps or delayed spend = violent swings. Not financial advice.
Execution: Wait for 2 quarters of confirmed earnings before adding size. Use limits. Don’t let hype override valuation or exit rules.
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