CGS-NDI Policy Brief: Zhang Jun, Yang Xiao: The New Frontier of Compute Competition in the AI Era—Data Center Energy Constraints and a Comparison of US-China Systemic Capabilities
Summary
This article explores the new frontier of compute competition in the AI era—data center energy constraints—and compares the systemic capabilities of the US and China in addressing this challenge. It points out that energy supply has become a key factor limiting the expansion of AI compute, and that differences between the two countries in energy policy, grid infrastructure, and renewable energy utilization will affect their long-term competitiveness in AI.
Bubble analysis
This news focuses on the impact of data center energy constraints on AI compute expansion, which is a discussion at the AI infrastructure level, but it does not provide specific investment or valuation figures, so its direct relevance to the bubble is weak. However, energy constraints could affect the sustainability of AI capital expenditure, indirectly influencing the bubble assessment.
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