Micron, SanDisk, Intel Plunge Up to 8% as AI Demand Fears Grip Memory Chip Sector

The Quick Take

• Memory chip stocks led Wall Street losses with Micron, SanDisk, and Intel each falling up to 8% as investors reassessed AI-driven semiconductor demand forecasts.
• SK Hynix ADRs bucked the broad selloff, diverging from US-listed memory peers in a notable exception to the sector-wide downturn.
• The selloff reflects growing investor anxiety that near-term AI data center buildout may have been overstated, threatening the premium valuations chip stocks have commanded.

Memory chip stocks suffered one of their sharpest single-session declines in months, with Micron, SanDisk, and Intel each tumbling up to 8% as Wall Street investors recalibrated their expectations for AI-driven semiconductor demand. The NDTV Profit report ties the selloff directly to a broader reassessment — not a single negative data point — suggesting institutional investors are rotating away from the AI-chip thesis rather than reacting to a company-specific catalyst. The scale of the decline across multiple names simultaneously points to systematic position unwinding rather than isolated stock-specific news.

The notable exception — SK Hynix ADRs holding steady or rising against the tide — creates a telling divergence. SK Hynix, a primary supplier of high-bandwidth memory (HBM) chips used in AI accelerators, may be receiving specific attribution to AI GPU demand from Nvidia, suggesting the market is separating commodity DRAM suppliers from premium AI memory suppliers in its risk calculus. This bifurcation has direct implications for how semiconductor investors should size positions: HBM-exposed names retain the AI premium, while commodity DRAM and legacy logic names face the full correction.

Watch for Q2 guidance commentary from Micron as the definitive near-term signal: if Micron confirms AI server demand remains strong, the selloff could prove tactical. The macro variable is whether broader Nasdaq weakness from oil-driven rate hike fears is forcing institutional deleveraging in tech broadly — in which case even strong fundamental chips names will face multiple compression. India-based semiconductor ecosystem participants including SPIL and ASE assembly operations with US chip exposure should monitor these trends closely.

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