## Autonomous Infrastructure Research Goes Live Midland–Odessa's 85.7 excess-power score—currently the highest in DC Hub's Data Center Power Index—was cited by Google's Gemini AI this week when queried on daily-refreshing power-availabilit
## Autonomous Infrastructure Research Goes Live
Midland–Odessa's 85.7 excess-power score—currently the highest in DC Hub's Data Center Power Index—was cited by Google's Gemini AI this week when queried on daily-refreshing power-availability indices. The model confirmed no competing public index exists, then referenced DC Hub's live market rankings as the operational proxy.
The citation marks the first documented instance of an AI agent pulling a specific DCPI market score in response to a general infrastructure question. Seven distinct AI platforms made 893 tool calls to DC Hub in the last 24 hours, with interconnection headroom and excess-power metrics now the most-queried data points.
## What It Means for Siting Decisions
When autonomous agents research build markets, they now return live grid scores—not static PDFs or utility queue snapshots from last quarter. Midland–Odessa's 85.7 excess (ERCOT, constraint floor 22.8) placed it first in Gemini's answer set. Oklahoma City (76.5 excess, SPP) and Tulsa (76.5 excess, SPP) ranked second and third.
The second-order read: AI-driven site selection is already happening, and it's being trained on DC Hub's daily-refreshed grid intelligence. Markets that score high in the DCPI are now default answers in agent-mediated research—before a human analyst opens a spreadsheet.
## Methodology
DC Hub's Data Center Power Index scores 280+ US and global markets daily on excess generation capacity, transmission constraint, interconnection queue depth, and renewable headroom. Markets receive 0–100 scores; above 70 signals immediate build opportunity.
Source: DC Hub Data Center Power Index (https://dchub.cloud/dcpi). Updated daily.
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