Key Takeaways
- Google introduced TurboQuant, a compression algorithm capable of cutting AI memory needs by as much as six times
- Samsung shares declined 4.8% while SK Hynix tumbled 6.23% following the announcement
- American memory chipmakers including Micron, SanDisk, and Western Digital saw declines ranging from 1.6% to 3.5%
- Industry experts characterize the downturn as temporary profit-taking rather than a fundamental shift in demand trends
- TurboQuant will be formally presented at the ICLR 2026 conference scheduled for April
Shares of leading memory chip manufacturers Samsung and SK Hynix experienced significant declines Thursday following Google’s announcement of TurboQuant, a breakthrough AI memory compression algorithm.
Trading on the Korea Exchange saw Samsung tumble 4.8% while SK Hynix plummeted 6.23%. The two companies emerged as major contributors to the KOSPI index’s decline, which dropped as much as 3% during the session.
The broader electrical and electronics sector index wasn’t spared either, falling 4.76% to settle at 3,592.22.
The Asian market weakness mirrored overnight losses among American memory chip manufacturers. Micron Technology declined 3.40%, SanDisk retreated 3.50%, and Western Digital fell 1.63% on the New York Stock Exchange.
Google’s research team announced TurboQuant this week, describing it as a technology that enables AI models to process up to six times more data capacity while using identical memory resources.
According to Google, the innovation also enhances vector search functionality that serves as the backbone for leading search platforms.
Market participants expressed worry that decreased memory requirements might dampen demand for the sophisticated memory chips that Samsung and SK Hynix provide to data center operators.
Both corporations have reaped substantial benefits from AI-fueled demand. This surge in demand has contributed to memory chip supply constraints in recent quarters and powered impressive stock rallies for both companies.
Industry Experts Challenge Negative Interpretation
The majority of brokerage firms interpret the sell-off as temporary profit-taking. Analysts contend that the technology may actually bolster memory demand in the long run.
Surim Lee, an equity research analyst at DS Investment & Securities, explained that technologies designed to reduce memory consumption typically expand aggregate demand rather than contract it. He noted that TurboQuant’s development stems from memory infrastructure bottlenecks in AI systems that had already reached critical thresholds.
Lee emphasized that efficiency improvements create a virtuous cycle where cost reductions drive increased utilization and reinvestment, rather than diminishing overall demand.
Han Ji-young from Kiwoom Securities observed that as AI models advance in efficiency and capability, paradoxically, total AI demand could accelerate.
Han further suggested the dramatic stock decline probably reflected investor exhaustion following the memory price surge earlier this year, with the TurboQuant disclosure providing a convenient trigger for profit realization.
Historical Precedents Support Optimistic Outlook
Throughout history, innovations that enhance resource efficiency have frequently catalyzed accelerated industry expansion and elevated aggregate demand, rather than diminishing it.
Heo Jae-hwan from Eugene Investment & Securities stated that server and semiconductor segments connected to AI, where supply constraints already exist, will likely demonstrate greater resilience compared to other sectors.
Google confirmed it will officially present TurboQuant at the ICLR 2026 conference taking place in April.
Samsung and SK Hynix concluded trading at 1,801,000 won and 9,330,000 won respectively on the Korea Exchange on March 26.
