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    Home»News»Stocks»Why Wall Street Remains Bullish on Micron (MU) Stock Despite Google’s TurboQuant Shock
    Stocks

    Why Wall Street Remains Bullish on Micron (MU) Stock Despite Google’s TurboQuant Shock

    Oli DaleBy Oli DaleMarch 31, 2026No Comments3 Mins Read
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    TLDR

    • Micron (MU) shares declined approximately 20% across five trading days following Google’s introduction of TurboQuant, an AI memory compression technology
    • The algorithm claims potential to slash AI memory requirements by as much as 6x, triggering concern among memory chip investors
    • Competitor SanDisk (SNDK) experienced an 11% decline on the identical announcement
    • Morgan Stanley’s Joseph Moore maintained his Buy rating despite the downturn, characterizing it as a “healthy pricing in of durability concerns”
    • Consensus on Wall Street points to Strong Buy with a mean price objective of $536.55, suggesting approximately 51% potential appreciation

    Micron delivered what may have been its most impressive quarterly performance in years. The company posted record-breaking revenue figures, unprecedented margin expansion, and peak earnings per share. Then Alphabet stepped onto the stage and muddied the narrative.


    MU Stock Card
    Micron Technology, Inc., MU

    The search giant introduced TurboQuant, a compression technology claiming the capability to slash memory demands for operating large language models by as much as six-fold. Investors didn’t pause to analyze the implications. Micron’s valuation contracted roughly 20% within five consecutive trading days. SanDisk (SNDK) witnessed an 11% retreat following the same disclosure.

    The market’s response was swift and severe to a lone corporate announcement, prompting an important consideration: does TurboQuant fundamentally undermine the investment case for Micron?

    According to analysts who’ve consulted with industry insiders, the answer appears to be no—certainly not from a fundamental perspective.

    TurboQuant addresses memory consumption in one particular segment of large language model architecture, not the entire ecosystem. When memory bottlenecks ease in that specific domain, AI engineers may simply intensify development in alternative areas, sustaining robust overall demand.

    Morgan Stanley Challenges the Market’s Reaction

    Following the downturn, Morgan Stanley’s Joseph Moore—a top-rated five-star analyst—reaffirmed his Buy recommendation on Micron. He characterized the market response as a “healthy pricing in of durability concerns” rather than evidence of fundamental business deterioration.

    After consulting with industry sources, Moore informed investors that TurboQuant represents an “evolutionary development, with basically no surprises for memory.” He observes supply conditions tightening rather than loosening, with customers already committing to advance payments for substantial memory orders, anticipating persistent supply constraints.

    Based on present earnings capacity, Moore calculates that Micron and SanDisk could generate annual free cash flow equivalent to 15%-25% of their respective market capitalizations—a threshold he anticipates will drive stock prices “materially higher” going forward.

    The consensus across Wall Street echoes Moore’s perspective. Among 28 tracked analyst ratings, 26 recommend Buy positions. Only two suggest Hold. The collective price target stands at $536.55, representing roughly 51% appreciation potential from present trading levels.

    Micron confronts a highly specific supply constraint that TurboQuant fails to address: the corporation can currently satisfy only between 50% and 67% of existing HBM demand. Additional manufacturing capacity isn’t anticipated to come online until 2027. This supply-demand imbalance shows no signs of rapid resolution.

    Revenue Momentum That Speaks for Itself

    The top-line progression tells a straightforward story. Micron delivered $13.6 billion in quarterly revenue two quarters ago, $23.9 billion in the most recent quarter, and projects $33.5 billion for the upcoming quarter.

    This doesn’t resemble a business losing customers.

    Industry projections estimate the total HBM market expanding from $35 billion in 2025 to $100 billion by 2028. The emerging phase of artificial intelligence expansion increasingly focuses on inference—the mechanism through which AI models process problems in real time—demanding persistent, uninterrupted memory utilization. This represents Micron’s core competitive advantage.

    The 52-week trading range extends from $61.54 to $471.34. Shares currently trade at $355.62, considerably below recent peaks but more than quintuple the 52-week floor.

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    Oli Dale
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