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Critical minerals and materials

The Index · AI infrastructureThe miners and materials makers that chips and power depend on.
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
  • Revenue10%
  • Share of world supply41%
  • AI exposure (estimate)20%
  • Position (estimate)20%
  • Momentum (estimate)10%
The method in full →
10 shownCSV ↓Cite an edition
01AjinomotoSubstrates & films
77.2
15.0
02China Northern Rare EarthRare earths & magnets
50.6
12.0
03SUMCOSilicon, quartz & wafers
41.2
50.0
04Tokyo Ohka KogyoProcess chemicals & gases
35.6
45.0
05SK SiltronSilicon, quartz & wafers
32.9
50.0
06China Rare Earth GroupRare earths & magnets
31.3
12.0
07Zijin MiningCopper
29.0
10.0
08BHPCopper
28.9
10.0
09Freeport-McMoRanCopper
27.7
12.0
10MP MaterialsRare earths & magnets
27.6
15.0

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