Допис

Katherine smil
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. #DailyOrbit #FOMCRateWatch #CXMTDebutShockwave

Застереження. Вміст, опублікований на OKX Orbit, надається виключно в інформаційних цілях. Докладніше

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