Strategic materials — analytical framework

Synthesised from 9 materials covered in the Atlas (Li, Nd, Cu, Co, Si, Ge+Ga, Ni, U, Graphite). Written 2026-04-24. This is the reusable lens: when a new material gets added to the atlas or a new policy event breaks, run the material through this framework first.

Core thesis

Strategic-material price dynamics are explained by the interaction of three variables, not by any single one:

1. Demand trajectory — is structural demand rising, flat, or falling? Driven by secular forces (electrification, AI, decarbonisation, defence, demographic structure). 2. Supply concentration — how many countries, companies, and facilities control global output? Mining, refining, and end-use-grade processing are usually distinct concentrations. 3. Discipline / policy lever — is the dominant supplier rationing output (consciously or structurally) or competitively over-producing? This is the single most under-appreciated variable and the one that distinguishes bull from bear narratives.

The key insight: concentrated supply is not automatically bullish. It becomes bullish when paired with demand growth AND discipline; it becomes bearish when the dominant suppliers compete into oversupply.

The 2×2 from the atlas

Observed regimes in the atlas:

• Cell (1,1) Structural bull — Li, Cu, Ni, U, Graphite:

demand growing (EV, electrification, AI, nuclear), supply concentrated, discipline holding (via cost curves, nation- state quotas, or project lead times). Prices rallying.

• Cell (1,2) Asymmetric tail-risk — Cobalt: demand

shrinking per-unit (LFP displacement), supply still concentrated (DRC >50%). Skewed distribution: modest downward drift + big upside tails from supply shocks.

• Cell (2,1) Bear — Polysilicon: same Chinese supply

concentration as Nd or Graphite, but Chinese producers competed into oversupply instead of rationing. Same concentration, opposite outcome.

• **Cell (3,1) Policy-premium bull — Nd/Pr, Ge, Ga, Graphite

post-Dec-2024**: supply rationed by explicit state policy (China export controls) rather than cost curve. Prices reflect permanent pricing power.

The discipline question (most important diagnostic)

When a new material comes up, the critical question is not "is supply concentrated?" but "who controls the discipline lever?":

• Cost-curve discipline (marginal producer economics):

copper is the canonical example. Cost curves are steep because grade decline + project lead times = natural rationing. Very durable.

• Nation-state policy discipline (quota, licensing):

Indonesia on nickel, OPEC on oil. Works only as long as the dominant state keeps the discipline; fragile if political economy changes.

• Oligopolistic coordination: rarely observed in raw

materials (unlike in industries like chemicals, pharma). Usually breaks down in commodity contexts.

• Explicit state control (export controls, sanctions):

China on Ge/Ga (Aug 2023), heavy REEs (Apr 2025), graphite (Dec 2024). Creates permanent pricing power but can be relaxed / reversed.

• NO discipline: producers compete into oversupply.

Polysilicon is the textbook case. Explains why prices can stay below cost for years.

Structural features that determine each material's regime

For any material, check these before making a call:

Demand factors

• Is there an electrification story? (Li, Cu, Ni, Graphite, Ga-GaN)
• Is there an AI / data-centre capex story? (Cu, U, Ga, Si-wafer)
• Is there a defence / strategic story? (Nd, Ge, U, W, Ga)
• Is there a chemistry-substitution risk? (Co→LFP is the

canonical example; silicon-anode eventually vs graphite is the future watch)

Supply factors

• Mine-production concentration (top-3 country share)
• Refining concentration (usually more concentrated than mining)
• End-use-grade processing concentration (e.g., SPG for

graphite, HALEU for uranium, battery-grade for Li/Co/Ni). Often the tightest chokepoint.

• Byproduct vs primary (Ge, Ga, Co are byproducts → low

supply elasticity)

• Project lead time to new supply (10-15 years for tier-1

copper; ~3-5 years for HPAL nickel in Indonesia)

Discipline factors

• Is a dominant state rationing? (Indonesia-nickel,

China-REE-exports)

• Is cost curve rationing the market? (Cu grade decline)
• Are producers coordinated or competing? (Polysilicon ≠

lithium)

• Are sanctions / export controls in play? (U-Russia,

Ge/Ga/Graphite-China)

Policy factors

• Is the material on strategic / critical lists? (USGS,

DoD, EU CRMA)

• Is there US IRA FEOC exposure? (Co, Graphite, Ni)
• Is there an active export-control regime? (Ge/Ga,

Nd/Pr-rumored, Graphite, Dy/Tb)

What distinguishes the atlas materials

How to use this framework for a new material

Step 1: Identify the demand trajectory — rising, flat, or falling? What's the drivers bundle?

Step 2: Map the supply concentration at each stage of the value chain (mining → refining → end-use-grade). Note where it's tightest.

Step 3: Diagnose the discipline regime — cost-curve, state, policy, or competitive. This determines whether "concentrated" becomes bullish or bearish.

Step 4: Place in the 2×2 and sanity-check against the atlas materials in that cell. Is the new material closer to Li, Cu, Polysilicon, or Cobalt?

Step 5: Identify scenarios from the cell's archetypal playbook:

• Structural bulls: what breaks the discipline? What new

supply is in the pipeline?

• Policy-premium bulls: what's the license-flow trajectory?

What de-escalation reverses it?

• Asymmetric risk: what triggers the upside tail?
• Competitive bear: what forces consolidation?

What this framework does NOT do

• Does not predict timing of regime shifts (polysilicon has

been bear for 3+ years with no imminent consolidation; cobalt asymmetric tail can be quiet for years)

• Does not tell you whether the current price is right; just

what the structural regime is

• Does not forecast individual mine/refinery operational events
• Does not capture macro overlay (Fed, dollar, recession) —

that's layered on top via the country-ETF work

Next materials worth testing in the framework

• Tungsten — China ~85% mining, defence-critical, export

controls rumored. Expected cell: policy-premium bull.

• Palladium + Platinum — Russia + South Africa dominant,

auto-catalyst demand declining with EV transition. Expected cell: asymmetric risk.

• Silver — industrial + monetary dual-use, solar demand

growing. Expected cell: structural bull (cost-curve).

• Tin — Indonesia + Myanmar politically unstable,

electronics solder demand steady. Expected cell: structural bull.

• Indium — byproduct of zinc, ITO for touch screens,

China dominant. Expected cell: asymmetric / policy-premium.

• Lead — mature, recycling-dominated, batteries + defence.

Expected cell: structural flat / regional.

Cross-references

• Monthly cross-cutting overview:

docs/minerals/reports/YYYY-MM-overview.md

• Per-material dossiers: docs/minerals/materials/<slug>.md
• Atlas product plan: docs/minerals/PLAN.md