On April 22, 2026, Micron Technology shares surged more than 8%, pushing the chipmaker’s market capitalization past $506 billion and capping a staggering 12-month run of nearly 575%. Behind the rally is a single, transformative force: the insatiable appetite of artificial intelligence for memory.
Memory chips have long been treated as commodity components — the unglamorous plumbing of computing. That narrative is being rewritten in real time. As AI workloads scale from experimental to industrial, high-bandwidth memory (HBM) has emerged as a critical bottleneck — and Micron, alongside South Korean rivals SK Hynix and Samsung, sits at the center of what analysts are calling a generational supercycle.
Why AI Is Hungry for Memory
Training and running large AI models is extraordinarily memory-intensive. A single NVIDIA H100 GPU — the workhorse of AI data centers — requires HBM3e chips stacked directly on the processor die, enabling data transfer speeds that traditional DRAM cannot match. An AI server rack can require five to six times more DRAM capacity than a conventional server, and the gap widens with each new model generation.
HBM is manufactured differently from standard DRAM: chips are stacked vertically using through-silicon vias (TSVs) and bonded with microbumps, a process so complex and capital-intensive that only Micron, SK Hynix, and Samsung can produce it at scale. The result is a market with near-oligopolistic structure — and pricing power that is reshaping memory economics.
“Micron is transforming memory from a supporting component into a core driver of AI performance,” one analyst noted in a recent research note, citing improved long-term supply agreements the company has locked in with hyperscale cloud providers including Microsoft, Google, Amazon, and Meta.
The Numbers Behind the Rally
Micron’s financial transformation has been dramatic. In fiscal year 2025 (ending August 2025), the company reported revenue of $37.38 billion — a 48.9% jump from the prior year — while earnings surged an extraordinary 998% to $8.54 billion. Earnings per share on a trailing-twelve-month basis reached $21.21.
Analysts expect the pace to accelerate further. Wall Street consensus projects fiscal year 2026 revenue of $111.65 billion — nearly triple the prior year’s figure — with EPS of $58.96, representing roughly 677% growth. These are not incremental upgrades; they reflect a structural repricing of what memory can earn when supply is tight and AI demand is insatiable.
Of the 31 analysts covering Micron tracked by major research platforms, 11 rate the stock a strong buy, 18 a buy, and just 2 a hold — a consensus that reflects rare unanimity on Wall Street. UBS, which maintains a Buy rating, raised its price target to $535 in April 2026, while the average target across coverage stands at $533.72.
HBM: The New Gold of the Chip Industry
High-bandwidth memory has become the semiconductor industry’s most coveted product. HBM3e — the current generation — delivers roughly 9.8 terabytes per second of bandwidth per package, compared to less than 1 TB/s for conventional DDR5 DRAM. For AI inference and training, where model weights must be loaded and re-loaded millions of times per second, this bandwidth gap is the difference between viable and infeasible compute.
Micron is ramping HBM3e production aggressively, having secured design wins with NVIDIA for the H200 and Blackwell GPU platforms, as well as undisclosed agreements with custom AI chip programs at several hyperscalers. The company’s Boise, Idaho fabs and its facility in Hiroshima, Japan are both being retooled to prioritize HBM capacity.
Crucially, Micron entered the HBM race later than SK Hynix, which captured the first wave of NVIDIA HBM supply. But its HBM3e has passed qualification at multiple customers, and analysts expect it to capture a meaningful share of the growing market through 2026 and 2027.
The Competitive Landscape
The global DRAM market is effectively a triopoly: SK Hynix, Samsung, and Micron control roughly 95% of worldwide capacity. In HBM specifically, SK Hynix has led — its chips are the primary memory in NVIDIA’s H100 and early H200 runs. Samsung has faced qualification delays that opened a window for both rivals.
That competitive dynamic is gradually shifting. Micron’s yields on HBM3e have improved significantly, per multiple analyst channel checks, and the company’s entry into next-generation HBM4 qualification could be among the first alongside SK Hynix. Samsung, meanwhile, is under pressure to resolve yield issues before the HBM4 cycle begins in earnest in late 2026 and 2027.
The broader NAND flash market — where Micron also competes — is recovering from a deep oversupply trough. NAND pricing has stabilized, and Micron’s enterprise SSD business is benefiting from increased AI data center storage requirements.
Bull Case and Key Risks
The bull case is straightforward: AI compute buildout requires memory at a scale the industry has never produced, HBM supply is structurally limited by the complexity of manufacturing, and Micron has secured long-term pricing agreements that reduce the cyclical volatility that has historically haunted the memory sector.
The risks are real but manageable. Memory has a history of boom-bust cycles driven by oversupply — a risk that is mitigated, but not eliminated, by the AI-driven structural demand shift. U.S.-China trade policy remains a wildcard: continued export restrictions could alter the supply-demand balance. A deceleration in hyperscaler AI capex spending — which some analysts flag as a tail risk for late 2026 — would also weigh on near-term demand.
Even after a 575% rally, Micron trades at roughly 8x the consensus fiscal year 2026 EPS estimate of $58.96 — a multiple that looks modest relative to growth peers, but is predicated on revenue estimates that would represent a historic step-change for the company.
What to Watch
Micron’s next fiscal quarter earnings — expected in June 2026 — will be a critical test of whether the revenue ramp is tracking analyst forecasts. Investors will watch for HBM revenue disclosures, margin trajectory (HBM carries significantly higher gross margins than commodity DRAM), and any commentary on 2027 HBM4 timelines.
NVIDIA’s next GPU platform cycle and any acceleration in hyperscaler AI capex guidance will also be direct leading indicators for Micron demand. In a market where AI infrastructure spending has consistently surprised to the upside, the memory market’s structural reset may have more room to run than even the bulls expect.
Disclosure: This article was produced with AI assistance and reviewed before publication. It is for informational purposes only and is not investment advice.