Methodology Registry · DCP v1.0
Data Center Pipeline™
Tracks verified hyperscale and colocation data-center construction as a leading indicator of electrical and mechanical labor demand.
Version: v1.0Maturity: BetaValidation: Beta — curated universe; non-exhaustive by design.
Purpose
Read data-center build-out concentration as a front-loaded claim on narrow construction labor pools.
Research question
Where is AI data-center construction concentrating, and what labor pools does it pull forward?
Variables used
- Verified project count
- Planned load (MW)
- Disclosed capex
- Construction phase distribution
- Geographic concentration
- Workforce exposure band
Data sources
- AlphaHire data-center activity tracker
- EIA-860M planned generation cross-reference
- Grid-readiness composite
Weighting methodology
Project-level verification with exposure-band overlay from WEI.
Version history
| Version | Date | Notes |
|---|---|---|
| v1.0 | 2026-Q2 | Initial 49-project verified universe |
Related publications
Intelligence ReportNew
Where AI Data-Center Construction Is Concentrating
49 verified projects · ~6.8 GW · ~$31.3B — a front-loaded leading indicator of electrical and mechanical labor demand.
Read reportSpecial Report
AI Infrastructure Expansion and the Workforce Pressure Cascade
Concurrent AI compute, data-center, and grid build-out — structural workforce dynamics standard analytics undertrack.
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AI Infrastructure and the Construction Workforce Disruption
Hyperscale data-center construction concentrating pressure in electrical, mechanical, and project-leadership pools.
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