Could Micron History Repeat? Analysts Warn of Potential Crash After Parabolic Surge

Yahoo Finance ·

Micron Technology has captured the attention of retail investors due to its impressive growth and affordable valuation, whereas institutional players remain increasingly skeptical about its future trajectory. Recently, Cathie Wood of Ark Investment Management issued a warning, pointing out that memory cycles can be treacherous and that rising competitive pressure from China might disrupt the sector. Past patterns indicate that Micron shares could face a severe downturn, potentially requiring decades to regain previous levels. Prior to its recent rally, the company reached an all-time peak in the summer of 2000 right before the dot-com bubble burst, fueled by strong DRAM and NAND pricing amid a massive PC and tech upgrade cycle. That boom eventually led to a dramatic collapse and a roughly twenty-year recovery period. With the stock experiencing an even more pronounced surge this year, investors are left questioning whether current market dynamics will defy historical memory cycles.

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Micron (MU) stock has recently seen a steep rise driven by surging AI-related demand, but institutional investors like Cathie Wood are concerned about the severe volatility inherent to the memory semiconductor industry and intensifying competition from China. Caution is growing as historically, it took decades for the stock to recover after breaking all-time highs during the 2000 dot-com bubble. Based on short-term earnings, it is undervalued, but risks from the recurring boom-and-bust cycle must be noted.

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Micron previously recorded all-time highs due to surging DRAM and NAND prices during the Y2K and PC adoption eras, only to see its stock plummet with the burst of the dot-com bubble. This year's steep rise may also be the peak of a memory supercycle similar to the past, and future oversupply or China's entry into the supply chain could directly lead to deteriorating earnings.

In the bullish scenario, structural memory demand centered on AI data centers could mitigate cycle volatility and break all-time high earnings, whereas in the bearish scenario, a massive stock crash could occur following the classic boom-and-bust formula. Trends in average selling prices (ASP) and indicators of capacity expansion by Chinese competitors must be closely monitored.

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