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Here's Why Intel Stock Is a Buy Before Earnings

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Here's Why Intel Stock Is a Buy Before Earnings

Intel announced a $14.2B buyout of Apollo's 49% stake in Fab 34 (Granite Rapids production), signaling strong confidence in server-CPU output. Management shifted fabs from client to server CPU production causing a Q1 supply hole, but server CPUs began rolling out end of March and Intel raised server-CPU prices 10–15% twice in Q1 due to surging AI inference demand, implying a material Q2 revenue and profit inflection and likely stronger forward guidance.

Analysis

Vertical control of wafer supply materially changes incremental economics: each wafer-retained that previously flowed through a third party converts a mid-single-digit percentage of revenue into gross margin rather than fee-bearing revenue — in a capital-light accounting view this can translate to a 200–500bp swing in reported gross margin as utilization normalizes over 2–4 quarters. That margin delta compounds with ASP leverage on constrained product lines: 5–15% ASP moves on high-volume server SKUs feed directly into operating leverage because R&D and much fixed fab cost amortization are already sunk. The demand profile for inference workloads creates a bifurcated time-series risk. In the next 1–3 quarters, enterprise and hyperscaler procurement is lumpy and front-loaded around proof-of-concept to production transitions, creating order spikes and durable backlog; over 12–36 months, software compression, model offloading to specialized ASICs, or in-house hyperscaler silicon can materially reduce TAM for general-purpose CPUs in certain inference segments. Competitors and suppliers not in the headlines matter: substrate and packaging vendors will see order volatility, while cloud providers with custom interposers/Now‑Gen NICs could reconfigure server BOMs and exert pricing pressure. Strategically, owning incremental wafer capacity not only captures margin but also creates bargaining leverage with large cloud customers — expect more multi-year take-or-pay or revenue-share contracts as customers trade price certainty for capacity. The principal tail risks are execution (yield ramp on advanced nodes), rapid software compression adoption that reduces CPU share of inference, and a demand retrenchment if hyperscalers internalize more silicon design; any one could erase the near-term margin upside within 6–12 months.