
Only about 10% of Coal Mining is information work today — the rest is physical, and moves slowly. The exposure is concentrated in the back office: the books, the paperwork, the scheduling, the marketing.
Why: Because the child occupations lack pre-computed digital scalars, this score relies on the NAICS industry description and unmapped occupation names. The industry's core activities—'underground mining', 'strip mining', and coal preparation—are driven by 'Mining Machine Operators', 'Earth Drillers', and 'Roof Bolters', indicating pure physical extraction of resources where AI is strictly limited to orchestration.
grounded in the economy graph · digital scalar 0.10 · physical
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Coal Mining sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Coal Mining inherits.
Coal Mining links to 2 entities via `specializes` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
Coal Mining is itself composed of 2 parts that flow up into it — the sub-units whose work, summed, is what AGI capability re-prices here first.
Which of this work becomes digital labor — performed under typed authority, promoted to autonomy on track record.
Coal Mining employs 76 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+64 more via employs
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
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