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StocksMediumUpdated×2•Originally published 30 March 2026•Updated 1 April 2026•

1 min read

Google's New AI Compression Algorithm Could Dent Memory Chip Demand

Key Facts

1Google developed a new compression algorithm that reduces the memory needed for AI models.

2 months ago

Version History

2 additional sources confirmed this story

Version 22 months ago

What changed: Identified the technology as 'TurboQuant' and added the negative market reaction for Micron (MU) and equipment suppliers due to demand concerns.

Version 12 months ago

What changed: SanDisk shares surged 5% as market sentiment suggests the memory chip supercycle remains resilient, providing a counter-narrative to concerns that Google's AI compression could dampen demand.

Google has officially identified its new compression technology as 'TurboQuant', designed to optimize memory usage for AI models and significantly lower hardware costs for Alphabet Inc. This technology enables faster AI inference with greater context capacity, representing a major leap in software efficiency. While SanDisk (SNDK) shares previously surged 5% to $600, the broader market is now reacting to the potential for reduced hardware requirements. Shares of Micron (MU) and associated memory semiconductor equipment stocks experienced a sharp sell-off as investors weighed the impact of 'TurboQuant' on long-term demand. Despite the sell-off, some analysts argue the memory 'supercycle' remains intact due to the sheer scale of AI infrastructure expansion. Consequently, the semiconductor industry continues to navigate a complex balance between software optimization and the ongoing expansion of hardware needs.