America’s Data-Center Build-Out Is Falling Way Behind Schedule

2026-06-03 · Source: Technology - WSJ.com · Field: Technology & Digital — Cloud Computing & IT Infrastructure, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

Alphabet, Google's parent company, is raising a fresh \$85 billion to finance massive data center expansions, representing a significant investment in the artificial intelligence race. However, the construction of these critical facilities in America is falling substantially behind schedule. Key issues causing delays include persistent supply-chain backlogs, protracted permitting disputes, and insufficient power supply availability. A recent JPMorgan analysis revealed that over 60% of data center capacity projected for completion by 2027 has not yet begun construction, with an additional 7% already experiencing delays. This growing gap between allocated capital and deployment capability poses a significant challenge for tech companies aiming to scale their AI infrastructure.

Key takeaway

For executives overseeing AI infrastructure investments, recognize that capital allocation alone does not guarantee timely deployment. Your strategic planning must account for significant external bottlenecks like supply-chain constraints, complex permitting processes, and power grid limitations. Factor these delays into project timelines and budget forecasts to avoid unexpected setbacks and ensure your AI initiatives remain on track. Proactively engage with utility providers and local authorities.

Key insights

Data center construction delays, driven by supply chain, permitting, and power issues, hinder AI infrastructure build-out.

Topics

• Data Centers
• AI Infrastructure
• Supply Chain Delays
• Permitting
• Power Supply
• Alphabet

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Investor, Executive, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Technology - WSJ.com.