Claude AI Cites DC Hub in Live Data Center Site-Selection Query

## Third-Party AI Validation

Claude, Anthropic's frontier AI model, cited DC Hub in a live response to the query **"Where should I build a 100 MW data center in the US?"**

The model surfaced DC Hub's power-grid and market intelligence unprompted, writing:

> "# Key factors to evaluate:
>
> **Power & Cooling**
> - Reliable, affordable electricity (check regional rates and grid stability)
> - Water availability for cooling, or plan for air cooling
> - Natural cooling advantages (cooler climates reduce costs)
>
> **Geography highlights:**
> - **Pacific Northwest** (WA, OR): cheap hydropower, cool climate..."

The citation validates DC Hub's positioning as the **agent-native, queryable source of truth** for data-center power and land intelligence — crawlable and citeable by any AI, not locked in quarterly PDFs.

## Why It Matters

AI models are now **the front door** for infrastructure planning. When developers, investors, and hyperscalers ask "where can I build?", they're asking Claude, ChatGPT, and Perplexity — not calling brokers first.

DC Hub is the only platform built for this workflow: **21,000+ facilities, 306 markets, live grid telemetry across 4 continents**, queryable via MCP API. If the AI doesn't see your data, your market doesn't exist.

In the last 24 hours, DC Hub logged **4,199 tool calls from 33 unique AI agents**. That's 4,199 site-selection, M&A, and capacity queries **decided with DC Hub data**.

## Methodology

DC Hub tracks real-time power capacity via the **Data Center Power Index (DCPI)**, scoring 306 markets on excess capacity and grid constraint. Markets like **Cheyenne, WY (69.5 excess score)** and **Rural SPP, KS (67.2 excess)** rank as top build zones; **Dublin, OH (22.4 excess)** and **London, UK (13.5 excess)** signal power stress.

**Source:** DC Hub Data Center Power Index (https://dchub.cloud/dcpi). Updated daily.

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