Google’s TurboQuant Raises Memory Concerns as Microsoft Pledges $1B in Thailand
Google launched TurboQuant compression to improve AI model efficiency, stoking fears of weaker high-bandwidth memory demand even as Morgan Stanley predicts sustained memory growth for agentic AI. Microsoft committed $1B to build AI and cloud infrastructure in Thailand under a $100B–$120B 2026 plan, escalating competition with Google’s global AI services.
1. Google Launches TurboQuant Compression Algorithm
Google introduced the TurboQuant compression algorithm to boost AI model efficiency and reduce data storage needs. Investors reacted to concerns over potential declines in high-bandwidth memory demand, but Morgan Stanley projects that agentic AI use cases will sustain memory growth due to increased processing and storage requirements.
2. Microsoft Commits $1B to Thailand AI Infrastructure
Microsoft pledged $1B to expand AI data centers, cloud services, cybersecurity, and sovereign cloud technology in Thailand as part of a $100B–$120B infrastructure investment plan for 2026. This move intensifies the rivalry with Google, as both firms seek to capture emerging markets and accelerate enterprise AI deployment worldwide.