Micron Technology has found itself in a volatile position despite being a primary engine behind the artificial intelligence boom. As one of the few global players capable of producing the memory chips essential for large language models, the company initially saw profits skyrocket while tech giants paid premiums to secure necessary hardware. However, a broader market selloff starting in late June, fueled by anxiety over AI returns and shifting macroeconomic trends, has dragged the stock down roughly 39 percent from its peak. For some investors, this sharp correction looks less like a warning sign and more like a strategic entry point.
The fundamental driver remains a massive supply shortage that Micron leadership believes will persist until at least 2028. While hyperscalers continue to pour hundreds of billions into infrastructure, Micron is aggressively expanding its own footprint with new facilities in Virginia, Idaho, and New York. Yet this expansion is not happening in a vacuum. Competitors like Samsung and SK Hynix are committing trillions toward production capacity, and China’s CXMT is ramping up after a significant IPO. This wave of new supply suggests that the era of rapid price hikes will eventually end, potentially leading to an earnings peak around 2028 followed by a typical industry downturn.
Predicting where the stock goes from here requires looking at historical valuation patterns. Micron typically trades at relatively low multiples of its earnings because investors anticipate these cyclical crashes. If we assume a moderate valuation multiple of five or six times earnings—which accounts for both the current AI surge and the inevitable cooling period—the stock could reach approximately 1,000 dollars by mid-2028. Based on recent trading prices around 740 dollars per share, a modest investment of 5,000 dollars today could grow to roughly 6,750 dollars in about two years.
Of course, this projection isn’t without risk. There is always the possibility that AI spending slows faster than expected or that an oversupply of chips triggers a deeper crash in profitability. Some cautious observers prefer waiting for an even lower price to ensure a better margin of safety given these uncertainties. Nevertheless, for those who believe the AI cycle has more room to run or that long term customer agreements will soften the eventual blow, current levels may represent an attractive window to buy into one of the most critical pieces of the modern computing puzzle.
