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AI Demand Soars: $5 Trillion Infrastructure Gap Looms

11/13/2025

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Summary

Story summary

Access Partnership warns AI infrastructure will fall short of compute demand by 2030, projecting 18.7 QFLOPs.
The report advocates a hybrid approach combining cloud, edge, and on-device computing.
Demand is expected to rise 125-fold.
Shifting inference to devices could reduce power use by 90% and water efficiency by 96%.
JPMorgan projects more than $5 trillion will be spent on AI infrastructure in the next five years and cites a $1.4 trillion funding gap.

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Story summary

Access Partnership warns AI infrastructure will fall short of compute demand by 2030, projecting 18.7 QFLOPs.
The report advocates a hybrid approach combining cloud, edge, and on-device computing.
Demand is expected to rise 125-fold.
Shifting inference to devices could reduce power use by 90% and water efficiency by 96%.
JPMorgan projects more than $5 trillion will be spent on AI infrastructure in the next five years and cites a $1.4 trillion funding gap.