Memory chip manufacturers Micron and Sandisk experienced sharp declines last week following Google’s publication of technical details regarding TurboQuant, an innovative compression technology that reduces AI model memory requirements by a minimum factor of six. The algorithm simultaneously delivers inference performance improvements of up to eight times while maintaining model accuracy levels.
Investors interpreted the development negatively for semiconductor memory producers. The prospect of reduced memory consumption per artificial intelligence model raised concerns about weakening chip demand for industry players including Micron and Sandisk.
Both equities have retreated at least 15% from all-time peak valuations reached in late last month. Trading activity on Thursday showed Sandisk declining 5.9% to $652, with Micron falling 5.5% to reach $347.78.
Sandisk Corporation, SNDK
Market sentiment took an additional hit when President Trump’s Wednesday evening remarks failed to provide clarity on the Iran conflict resolution timeline, creating uncertainty that carried into Thursday’s trading.
Google researchers initially explored TurboQuant concepts in 2025, with updated findings on AI inference capabilities published in subsequent research papers.
Vijay Rakesh, an analyst with Mizuho Securities, countered the prevailing market sentiment in his client communications. He maintained Outperform ratings for both Micron and Sandisk while preserving price objectives of $530 and $710 respectively.
His central thesis suggests that artificial intelligence efficiency enhancements have consistently resulted in increased expenditure rather than reduced spending. This economic principle, recognized as Jevons’ Paradox, describes how improved efficiency or reduced cost of a resource typically stimulates higher overall consumption.
Rakesh referenced three historical precedents. Virtual machine technology was anticipated to decrease server requirements but generated the opposite outcome. The DeepSeek introduction in 2025 triggered GPU demand concerns, yet AI infrastructure investment continued expanding. The transition from copper to optical networking infrastructure, despite offering 10x bandwidth improvements, drove higher AI server capital investment rather than cost reductions.
Rakesh observed that NAND memory integration in AI server architectures has doubled during the preceding twelve-month period. Spot market valuations have maintained upward momentum throughout consecutive quarters.
With concurrent price appreciation and robust fundamental demand dynamics, Mizuho anticipates Micron and Sandisk could surpass already elevated earnings projections in upcoming periods.
Sandisk currently trades near $652, positioned below Mizuho’s $710 valuation target. Micron hovers around $347, compared to the firm’s $530 price objective.
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