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US data center policy clouds AI capacity outlook, MetaAge says
What happened
MetaAge general manager Jason Shih said global AI data center construction continues to drive demand for GPUs, memory, and other critical hardware, but tight computing capacity, rising material costs, and longer lead times are complicating large-scale AI project delivery. He stated that even as enterprise AI investment continues and demand is expected to grow through 2027, the imbalance between global AI hardware supply and demand will be difficult to resolve in the short term; US data center policy is clouding the AI capacity outlook.
Impact and signal
Medium impactImpact score: 30/100
Affected components and suppliers
GPUsmemory
MetaAgeAI data centersupply-demand imbalancelead timesmaterial costs
Source and time
Source: DigiTimes Asia · 11/11/2026 · View original source
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