Google's TurboQuant AI memory compression technology has caused a sharp decline in the U.S. storage chip sector, with stocks like SanDisk, Micron, Western Digital, and Seagate experiencing intraday drops. While interpreted as a bearish signal for storage demand due to its potential to reduce memory footprint and speed up AI inference, the technology primarily targets inference, not high-bandwidth memory crucial for training. This suggests AI infrastructure demand remains robust. Efficiency gains could lower AI commercialization costs, potentially expanding application scenarios and increasing overall computing power demand. The current pullback reflects a re-pricing in a high-valuation environment, with AI demand diffusion continuing, potentially evolving into a demand restructuring.
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