Intel's growth strategy through 2030 rests on three sequentially dependent bets: first, restore manufacturing process leadership; second, convert that leadership into foundry revenue from external customers; third, use the combined scale and profitability of the recovered IDM business and the new foundry business to fund the R&D necessary to compete in AI accelerators. The process technology recovery roadmap is the foundational bet. Intel's Intel 4 node (equivalent to what the industry calls 4nm) entered high-volume production in 2023 with Meteor Lake laptop processors — marking Intel's first use of extreme ultraviolet (EUV) lithography in production. Intel 3 is scheduled for 2024 production, and Intel 18A — Intel's most aggressive process node, targeting performance competitive with TSMC N2 — is scheduled for 2025 production with internal products and external foundry customers simultaneously. The Intel 18A node uses two proprietary technology innovations: RibbonFET (Intel's version of gate-all-around transistor architecture) and PowerVia (backside power delivery), both of which Intel argues provide density and power efficiency advantages over competing approaches. If Intel 18A achieves competitive yield at production volumes, it would represent the first time Intel has held genuine process leadership since approximately 2016. The foundry customer acquisition strategy is necessarily long-cycle. Semiconductor companies do not switch foundry partners for commodity reasons — the design, verification, and qualification process for a new manufacturing node takes 2–4 years and costs tens of millions of dollars. Intel has announced foundry partnerships with Microsoft (for custom chip manufacturing), AWS (for custom silicon), Ericsson (for 5G chips), and Arm Holdings (design ecosystem collaboration). These are strategic commitments rather than revenue-generating production contracts in most cases, but they establish the ecosystem relationships that convert into volume revenue once Intel 18A enters production and yield data becomes available to prospective customers. The AI accelerator growth strategy centers on Gaudi 3, released in 2024, and the follow-on Falcon Shores architecture planned for 2025. Intel's positioning is explicitly price-performance rather than absolute performance: Gaudi 3 is priced at approximately 30–40% below NVIDIA H100 for comparable training throughput on standard transformer workloads, targeting hyperscale cloud customers who are constrained by NVIDIA's supply limitations and seeking credible alternatives. The strategy's success depends on software ecosystem development — specifically, expanding compatibility with PyTorch and other AI frameworks to reduce the switching cost from CUDA-optimized workflows.