Micron Technology generates its revenue through the design, fabrication, and sale of semiconductor memory and storage products, operating an Integrated Device Manufacturing (IDM) business model that requires billions of dollars in annual capital expenditure to maintain technological parity in the DRAM and NAND markets. The total revenue of $25.11 billion for fiscal year 2024 is divided into two primary technological segments: Compute and Networking Business Unit (CNBU), which encompasses data center DRAM, NAND, and HBM, accounting for approximately 60% of total revenue, and the Mobile and Consumer Business Units, which encompass smartphone DRAM, NAND, and client PC memory, accounting for the remaining 40%. The unit economics of Micron's business are governed by the extreme physics of silicon fabrication; producing a single wafer of leading-edge 1-beta DRAM requires over 1,200 distinct manufacturing steps, utilizes extreme ultraviolet (EUV) lithography machines that cost $200 million each, and takes upwards of four months to complete from raw silicon to finished die. Because the cost of building and equipping a single advanced memory fab exceeds $15 billion, Micron must operate these facilities at near 100% utilization and achieve high yield rates to amortize the massive depreciation expenses over the useful life of the equipment, which typically spans five to seven years. The pricing architecture for Micron's products is bifurcated between highly commoditized, spot-market pricing for legacy consumer memory, and negotiated, contract-based pricing for advanced-node enterprise and AI memory. In the commodity DRAM and NAND markets, pricing is dictated by global supply and demand dynamics, where a mere 2% oversupply in global wafer starts can trigger a 40% collapse in average selling prices (ASP), a phenomenon that drove Micron to a $1.5 billion net loss in FY2023. However, in the advanced-node segment—specifically High Bandwidth Memory (HBM3E) and high-capacity data center SSDs—Micron operates in a tight oligopoly with Samsung and SK Hynix, allowing the company to command significant premium pricing based on performance, power efficiency, and yield reliability. The core economic driver of Micron's current business model is the HBM3E product line, which utilizes advanced through-silicon via (TSV) technology to stack eight or twelve layers of DRAM die vertically, creating a single package that delivers over 1 terabyte per second of memory bandwidth to AI accelerators like the Nvidia H200. Because HBM requires significantly more wafer area per gigabyte than standard planar DRAM, and involves complex advanced packaging processes that yield lower output per wafer, the effective supply of HBM is constrained, allowing Micron to negotiate multi-year, fixed-price allocation agreements with hyperscalers that guarantee high gross margins regardless of broader memory market fluctuations. The capital allocation strategy under CEO Sanjay Mehrotra has deliberately shifted away from pursuing maximum market share in low-margin consumer electronics, focusing instead on capturing the highest-value segments of the data center and AI markets. This strategy requires Micron to invest approximately $8 billion annually in research and development and capital expenditures, a figure that is expected to rise to over $10 billion as the company constructs new leading-edge facilities in New York and Idaho. The financial efficiency of this model is highly leveraged to the memory pricing cycle; during an upcycle, the operating leverage of the fixed-cost fab infrastructure results in explosive free cash flow generation and margin expansion, as seen in Q4 FY2024 when gross margins exceeded 30%. Conversely, during a downcycle, the fixed depreciation and interest expenses rapidly consume cash reserves, forcing the company to slash capital expenditures and reduce wafer starts to stabilize pricing. The customer acquisition cost for Micron's enterprise and AI products is exceptionally low in terms of marketing spend, but exceptionally high in terms of engineering resources; securing a design win for Nvidia's next-generation AI accelerator requires Micron to embed dozens of engineers directly into the customer's architecture team years before the product ships, co-developing the custom PHY interfaces and thermal management solutions required for HBM integration. This deep technical integration creates immense switching costs; once an AI chip architecture is designed around Micron's HBM3E timing and power profiles, migrating to a competitor's memory solution would require a complete redesign of the accelerator's interposer and thermal infrastructure, a risk that AI chip designers are unwilling to take. The land-and-expand strategy within the data center is driven by the exponential growth of AI model parameters; as large language models scale from hundreds of billions to trillions of parameters, the memory bandwidth required to prevent the GPU from idling increases proportionally, ensuring that Micron's content-per-server metrics continue to scale even if the total number of servers shipped remains flat. The company's international expansion strategy is heavily constrained by geopolitical realities; while Micron operates major assembly and test facilities in Singapore and Malaysia, and a leading-edge DRAM fab in Hiroshima, Japan, the construction of new manufacturing capacity is increasingly driven by national security subsidies rather than pure economic optimization. The $6.2 billion in direct funding and loans secured under the CHIPS and Science Act is specifically earmarked for the construction of advanced memory facilities in the United States, fundamentally altering the company's cost structure by introducing higher labor and construction costs in exchange for supply chain resilience and tariff protection. The overall business model is a masterclass in extreme industrial engineering: acquire the technological capability to print the smallest possible transistor and stack the highest possible number of 3D layers, expand revenue by capturing the most demanding AI and data center workloads, retain the customer through deep architectural integration and multi-year allocation agreements, and defend the margin through relentless yield optimization and government-subsidized capacity expansion.