New York, New York
— March 31, 2026
Why Micron Stock Has Fallen Nearly 30 Percent Since Earnings
Markets have been rough lately, but Micron’s pullback has stood out.
Since earnings, the stock has fallen almost 30%, and while the stock is still on a major tear there has been one big development worth addressing.
Google recently introduced a new compression method called TurboQuant. At a high level, TurboQuant is designed to let AI models use far less memory without sacrificing performance. That matters because a major part of Micron’s growth story has been tied to the massive demand for memory chips needed to run large language models and support AI infrastructure.
The basic concern is straightforward. If AI systems can do more with less memory, then in theory they may not need as many memory chips as before. That creates a new question for investors: could improvements in model efficiency reduce demand for one of the hardware categories that has benefited the most from the AI boom?
That does not automatically mean Micron’s story is broken. In fact, demand for advanced memory remains extremely strong, and supply is still tight. Even if technologies like TurboQuant reduce memory needs at the margin, the broader AI buildout may still be large enough to keep Micron in a strong position. In other words, lower demand growth is not the same thing as weak demand.
There is also the market setup to consider. Micron had already been on a major run before this decline, which made the stock more exposed to a pullback once sentiment cooled. High-flying names often do not need a perfect storm to fall hard. Sometimes they just need investors to become less willing to pay peak multiples.
Then there is the broader macro backdrop. Rising geopolitical tension, pressure in the energy market, and a wider risk-off tone have weighed on equities over the last month. In that kind of environment, a stock like Micron, especially one trading near highs and closely tied to the AI trade, can get pulled lower even if the long-term thesis is still intact.
So what does all of this mean?
Micron’s recent drop looks less like one single issue and more like three forces hitting at once: a new technical development that could reduce future memory intensity, a stock that had already run hard, and a macro environment that has turned more fragile.
That combination has been enough to knock the stock back sharply. The bigger question now is whether this is a healthy reset in a still-powerful AI cycle or an early signal that the market is starting to reassess how much memory demand AI will really require over time.