How waste treatment and disposal are reshaped as AGI capability advances.

Only about 15% of Waste Treatment and Disposal 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: The NAICS lens and description explicitly anchor this industry in physical work, such as operating waste facilities, hauling waste materials, and managing landfills. While the child occupations lack known digital scalars, their names (Refuse Collectors, Hazardous Materials Removal Workers, Crane Operators, Construction Laborers) overwhelmingly point to hands-on, physical labor.
grounded in the economy graph · digital scalar 0.15 · physical
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Waste Treatment and Disposal 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 Waste Treatment and Disposal inherits.
Waste Treatment and Disposal links to 4 entities via `specializes` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
Waste Treatment and Disposal is itself composed of 4 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.
Waste Treatment and Disposal employs 114 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+102 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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