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Power and energy for AI

The Index · AI infrastructureThe utilities, generators and on-site power providers signed to supply data centres.
What this measures

The Stack Capacity Index measures how much an entity shapes the world's AI capacity within its layer of the stack. It is built mostly from measured, sourced facts, each scored on the board's own scale; stated estimates of AI exposure, position and momentum, scored on one written rubric, add to them but never outweigh a row's own facts. A figure nobody publishes is left out, never estimated.

AI exposure reads how much of the business serves AI compute demand today. It is a stated estimate.

Scores run 0 to 100. The top 10 companies · updated 21 Oct 2026.

Stack Capacity Index: components and weights
  • Generation capacity12%
  • Data-centre load signed30%
  • Revenue12%
  • AI exposure (estimate)18%
  • Position (estimate)18%
  • Momentum (estimate)9%
The method in full →
10 shownCSV ↓Cite an edition
01Dominion EnergyUtility
71.3
45.0
02AESIndependent power producer
68.7
45.0
03Duke EnergyUtility
65.7
25.0
04PPLUtility
65.0
45.0
05VistraIndependent power producer
57.0
25.0
06FirstEnergyUtility
54.8
30.0
07Constellation EnergyIndependent power producer
54.6
20.0
08NextEra EnergyUtility
53.4
20.0
09NiSourceUtility
49.9
45.0
10AmerenUtility
46.5
30.0

Index scores are model outputs, not predictions. The facts behind each score are sourced, and the estimates are stated with their basis in the full dataset, where figures resting on a secondary source are marked.

Go further. The full table, the full indicator set, history back to the modelled backcast, trajectories and custom peer groups for this table are available to clients. Request a briefing