On March 28, the Financial Times reported that the market value of American memory chip stocks took a significant hit, plummeting by nearly $100 billion within a week, a downturn largely attributed to Google's latest research findings. The study suggested that the anticipated scarcity of AI hardware, which had previously fueled a surge in chipmakers' stock prices, is likely to subside. Amidst a widespread sell-off on Wall Street, Micron's stock price has witnessed a 15% decline since its close last Friday, resulting in a loss of over $70 billion in market value. Similarly, SanDisk, a prominent flash memory device manufacturer, saw its market value diminish by approximately $15 billion, with Western Digital and Seagate Technology also suffering losses in the billions. Analysts commented that while the upswing in memory chip stocks may not have entirely run its course, market expectations had reached lofty heights, making it prudent to take profits at appropriate junctures. Google's TurboQuant algorithm has the capability to compress AI models without sacrificing accuracy, enabling them to operate on computers with reduced memory requirements. This advancement could potentially decrease the infrastructure needed for running AI models and lower the threshold for large-scale AI deployment. Nevertheless, analysts contend that this week's sell-off is unwarranted and anticipate that the impact on the memory and computing sectors will be neutral in the near term, as lower AI costs could stimulate overall demand.