TLDR
- Micron’s stock has fallen approximately 20% since its Q2 earnings report on March 18, fueled by concerns that Google’s TurboQuant algorithm could reduce memory demand.
- Mizuho analyst Vijay Rakesh maintained an Outperform rating and a $530 price target, viewing the recent decline as a buying opportunity.
- Micron reported significant pricing power in Q2, with DRAM average selling prices (ASPs) increasing in the mid-60% range and NAND ASPs rising in the high-70% range.
- Analysts are divided: some attribute the sell-off to irrational panic, while others highlight risks such as concentration and the sustainability of current pricing.
- Over the past year, Micron’s stock has surged 324%, outperforming major competitors like Nvidia, AMD, TSMC, and Broadcom.
(SeaPRwire) – Micron has experienced a turbulent period recently. Following an exceptional run in the semiconductor sector, where its stock climbed 324% over the last year, the memory chip manufacturer encountered a significant setback. The downturn was triggered by Google’s TurboQuant algorithm, a breakthrough in lossless data compression, which led investors to fear a potential decrease in future demand for DRAM and NAND. The market reacted swiftly.
Micron Technology, Inc., MU

Since Micron’s Q2 earnings announcement on March 18, the company’s stock has dropped by roughly 20%. This represents a substantial decline for a company that was recently a prominent player in the AI investment landscape.
The core of the sell-off stems from a straightforward concern: if Google’s TurboQuant can compress data more efficiently without compromising model accuracy, hyperscalers might require less raw memory for their AI workloads. Reduced demand for DRAM and NAND would consequently diminish Micron’s pricing power. However, this line of reasoning is being challenged by several analysts.
Vijay Rakesh of Mizuho strongly countered this narrative. He reaffirmed Outperform ratings for both Micron and Sandisk (SNDK), setting price targets of $530 and $710, respectively. Rakesh invoked the Jevons paradox, an economic principle suggesting that efficiency gains often lead to increased consumption rather than decreased. He cited the example of DeepSeek’s 2025 launch, which initially rattled GPU stocks but was followed by an acceleration in AI infrastructure spending.
Rakesh further noted that Google’s own TurboQuant research indicates its potential to facilitate larger models and faster inference, which would still necessitate considerable memory. He views the current market sell-off as an overreaction.
What the Numbers Actually Say
Micron’s Q2 financial results presented a robust picture. DRAM bit shipments saw a mid-single-digit sequential increase, while average selling prices (ASPs) surged in the mid-60% range. NAND bit shipments grew by low-single digits, with ASPs climbing in the high-70% range. This indicates a substantial pricing premium, driven by constrained supply rather than booming sales volume.
Seeking Alpha analyst Oliver Rodzianko highlighted this trend. He stated that Micron is currently more constrained by supply than by demand, and that management anticipates tight DRAM and NAND supply-demand conditions to persist beyond 2026. Rodzianko’s primary concern is not the technology itself, but rather the extent to which Micron’s earnings power is reliant on price increases versus being structurally sustainable.
Should pricing normalize, profit margins could contract. Rodzianko also pointed out concentration risk: Micron’s performance is heavily dependent on hyperscaler spending, and any slowdown in that buildout would severely and rapidly impact the stock.
Bulls Point to AI Infrastructure Demand
Analyst Dmytro Lebid adopted a more optimistic perspective. He characterized the sell-off as being driven by “irrational investor behavior” and argued that the market is overestimating the risks of a slowdown. In his assessment, hyperscalers’ demand for HBM3E memory remains strong, and Micron’s supply-constrained position helps maintain healthy margins.
He contended that demand from Nvidia alone is projected to continue growing, thereby establishing a stable floor for Micron’s pricing.
Micron is also expanding capacity at its facilities in Idaho, Tongluo, and Singapore through 2027–2028, a long-term strategic move betting on sustained growth in AI-driven memory demand.
As of early April 2026, Micron’s stock was trading at approximately $366, with a market capitalization of around $413 billion and a 52-week trading range between $61.54 and $471.34.
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