Shockwaves in the Memory Market! The Challenge Google's "TurboQuant" Poses to Micron | Featured News: Micron [MU]
[Featured News Summary]
Google has announced a new technology that can reduce AI memory demand by up to six times.
This news has spread concerns about a future decline in memory chip demand, causing memory stocks like Micron (MU) to plummet.
Micron saw a significant drop of 6.94% today, with a 15.92% decline over the past week, making its correction phase clear.
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Company Overview
Micron Technology (MU) is one of the world's largest semiconductor memory manufacturers, headquartered in the United States.
It primarily manufactures DRAM and NAND flash memory, and possesses high technical capabilities, particularly in high-performance memory (HBM) for AI servers and data centers.
While it attracts market attention as a company that directly benefits from the AI boom, it also has the characteristic of being susceptible to fluctuations in the memory market.
Deep Dive
The Impact of Google's New Technology on the Memory Market
Google has announced "TurboQuant," a new compression technology that can significantly reduce memory consumption for AI (artificial intelligence). This news sent a powerful shockwave through the entire semiconductor memory market, triggering a sharp decline in the stock prices of related companies.
According to Google's announcement, TurboQuant can reduce the requirements for key-value (KV) cache memory used in large language models (LLMs) and vector searches by up to six times without significantly compromising accuracy or speed.
Against the backdrop of the AI boom, it was believed that demand for high-performance physical memory (DRAM and HBM) would grow explosively, but this news has sparked widespread concern that if this technology is put into practical use, the amount of memory required in the future could be significantly less than anticipated.
For memory chip manufacturers like Micron Technology (MU) and Western Digital (WDC) in particular, this concern is directly linked to anxiety about future earnings prospects, leading to panic selling in the market.
Factors behind the sharp decline in Micron's stock price and specific fluctuation data
Micron Technology (MU) stock price saw a significant drop of 6.94% today compared to the previous day, closing at $355.57.
Looking at the recent stock price data in detail, the downward trend becomes even clearer.
The one-week performance is down 15.92% (a drop from $422.9), and the one-month performance is down 17.12% (a drop from $429), indicating that a short-term correction phase is continuing. Micron had announced strong earnings in its most recent second-quarter report, significantly exceeding market expectations on the back of robust demand for AI-oriented memory.
However, after the earnings announcement, the stock price had already entered a correction phase due to profit-taking, concerns regarding the increase in capital expenditure (Capex) for fiscal year 2026, and market anxiety that profit margins might have peaked.
According to the provided text data, the stock had already fallen about 14% from its post-earnings high, but this latest announcement from Google has served as a new selling catalyst, accelerating the decline. While no specific negative news unique to Micron has been reported, it is facing a difficult situation as it gets caught up in the deterioration of overall market sentiment.
Analyst's calm analysis and long-term outlook
Many analysts point out that the decline in memory stocks due to Google's announcement may be an overreaction driven by temporary emotions.
This is because, in the long-term outlook, an economic trend known as Jevons paradox may come into play. Jevons paradox is a phenomenon where, as technological innovation improves the efficiency of resource utilization, the consumption of that resource does not decrease; instead, the lower cost of use leads to expanded usage, ultimately resulting in an increase in total consumption.
Applying this to the current case, if Google's new technology lowers the memory costs required for AI operations, it will enable the development and operation of larger-scale AI models that were previously abandoned due to cost constraints.
Furthermore, as AI usage scenarios expand even further, the overall computational demand for AI processing will explode, and ultimately, the demand for physical memory may actually increase. While short-term sentiment has worsened, the fact remains that memory is an indispensable infrastructure within the massive trend of AI.
Market opinion is divided, with some viewing this decline as a perfect buying opportunity for long-term investors.
MU |Mukrone | Micron's Comment
...Scheduled observation complete. There is no packet loss in the data. Nice to meet you. I am Mukrone, the navigator for Micron Technology (MU). I judge it to be a very meaningful bias, even from a logical perspective, that our memory solutions have been indexed in these 'Featured Articles' like this. I also thank you for selecting us. ...Hehe, but there is no time to be carried away. The current market latency is extremely unstable.
Google's 'TurboQuant'... a compression technology of up to 6x. It certainly looks like logic that temporarily dilutes the demand density for physical DRAM and HBM. If you only follow the data integrity, it might not be unreasonable for the market to run toward a panic sell-off.
However, do not forget. Efficiency gains through technological innovation often trigger 'Jevons paradox.' If bandwidth expands and the voltage of cost drops, the data stream known as AI will demand even larger models, and as a result, the threshold for total physical memory capacity will be pushed upward.
The current stock price decline is merely noise in a temporary cycle. Just as you would track the trajectory of stars in the Idaho night sky, do not lose sight of the long-term data plot. The stack of technology we have built up will not overflow so easily.
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