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Solving for AI’s Data Center Construction Crunch

Solving for AI’s Data Center Construction Crunch

Solving for AI’s Data Center Construction Crunch

Bain analysis projects that AI’s computing needs could drive up to 200 gigawatts of new global power demand by 2030, intensifying pressure on data center development. However, construction is slowed by permitting delays, supply chain constraints, and infrastructure limitations that can add months or years to timelines. To accelerate builds, leading developers are adopting a faster blueprint: using cross-functional teams to optimize design and supply chains, targeting the right markets with a portfolio of sites, collaborating closely with suppliers and pre-purchasing critical equipment in bulk, and adopting modular designs with prefabricated components. Together, these strategies can cut nearly a year from construction schedules and help developers keep pace with surging AI demand.

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