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Sign up free →Amazon, Microsoft, and Google are encountering physical infrastructure constraints beyond chip availability and capital investment
Water and power availability are emerging as critical limiting factors for scaling AI data centers
Multiple hyperscalers have already cancelled or delayed billion-dollar U.S. data center projects due to local resistance
Physical footprint and real-world resources are becoming the primary bottleneck in the AI race rather than technology or funding
China is exploring alternative solutions by looking to expand AI infrastructure toward maritime locations
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