How Intel Corporation Makes Money

Intel's revenue story is really two stories stitched together by a shared fab network. The first story is straightforward: Intel designs and sells processors. The Client Computing Group (CCG) — laptops, desktops, workstations — generated $32.2 billion in FY2025, making it the company's largest segment by far. The new Core Ultra Series 3 (Panther Lake) chips, built on Intel's own 18A node, include integrated neural processing units for Microsoft's Copilot+ AI PC requirements. This is still the bread-and-butter business, the one that pays most of the bills. The Data Center and AI Group (DCAI) brought in $16.9 billion, up 22% in Q1 2026 as AI inference demand pulled Xeon server processors back into growth. Gaudi 3 accelerators compete for AI training workloads against NVIDIA's H100/H200, though 'compete' is generous — NVIDIA's CUDA ecosystem makes switching painful for most customers. The Network and Edge Group (NEX) sells chips for telecom infrastructure, industrial automation, and IoT devices. It's smaller, steadier, less exciting. Then there's the second story — the one investors are actually pricing. Intel Foundry is the company's attempt to become a contract chip manufacturer for outside customers, competing directly with TSMC. This segment lost over $10 billion in FY2025 because Intel is building capacity years ahead of revenue. The bet is enormous: fabs in Oregon, Arizona, New Mexico, Ireland, Israel, with a massive Ohio complex under construction. Each leading-edge fab costs $20-30 billion to build and equip. What makes Intel structurally unusual is the IDM model — Integrated Device Manufacturer. Intel designs chips, manufactures them in its own fabs, packages them using proprietary technologies like Foveros 3D stacking and EMIB interconnects, and sells them to end customers. AMD doesn't do this. NVIDIA doesn't do this. Apple doesn't do this. They all send their designs to TSMC. Intel's model was once its greatest advantage because tight coordination between design and manufacturing produced better chips faster. Then the 10nm delay in 2018 proved the model could also be a trap — when your factory falls behind, your products fall behind too, and you can't just switch to a competitor's fab overnight. Under Lip-Bu Tan, the workforce has been cut from 108,900 to roughly 75,000. The Altera FPGA business was sold to Silver Lake for $8.75 billion. The goal is a leaner company that can execute the dual mandate: make great products AND run a world-class foundry. Q1 2026 showed early signs it might work — revenue of $13.6 billion beat guidance by $1.4 billion, AI businesses reached 60% of the mix, and non-GAAP gross margins recovered to 41%. The financial structure is still stressed, but the trajectory has shifted from decline to cautious recovery.

Lip-Bu Tan's turnaround has one thesis at its core: manufacturing leadership is the strategy. Everything else is supporting evidence. The 18A process node — RibbonFET gate-all-around transistors plus PowerVia backside power delivery — entered volume production in 2025 with Panther Lake laptop processors. The enhanced 18A-P variant promises 9% more performance and 50% better thermal conductivity. The 14A node is already in development for external foundry customers. If Intel can sustain this cadence, it restores something the company hasn't had since 2015: a credible manufacturing roadmap that customers can plan around. The second priority is winning external foundry business. Reports that Apple is evaluating Intel Foundry would be transformative validation — the customer that left Intel for its own silicon potentially returning as a manufacturing client. The U.S. Government's ~10% equity stake and CHIPS Act funding provide both capital and political cover for this ambition. The third lever is AI product revenue. Gaudi 3 accelerators, Xeon processors optimized for inference, and Core Ultra chips with integrated NPUs collectively pushed AI-driven businesses to 60% of Q1 2026 revenue. That's not NVIDIA-level dominance, but it's meaningful participation in the industry's fastest-growing spending category. Everything else — the workforce cut to 75,000, the Altera divestiture for $8.75 billion, the organizational flattening — is about removing friction from these three bets. Tan isn't trying to do twelve things. He's trying to do three things without the bureaucratic drag that made Intel slow for a decade.