How sawmills and wood preservation are reshaped as AGI capability advances.

Only about 15% of Sawmills and Wood Preservation 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 LENS prior and NAICS description detail highly physical manufacturing processes, specifically sawing dimension lumber and treating wood with chemical preservatives. While the roll-up summary lacks known digital scalars, the listed occupations (Woodworkers, Crane and Tower Operators, Millwrights, Machine Feeders) are entirely hands-on, heavy industrial roles. Because the core value-producing work is machinery operation and material handling, with AI relegated strictly to orchestration and scheduling, the scalar is solidly in the physical band.
grounded in the economy graph · digital scalar 0.15 · physical
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Sawmills and Wood Preservation 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 Sawmills and Wood Preservation inherits.
Sawmills and Wood Preservation 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.
Sawmills and Wood Preservation 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.
Sawmills and Wood Preservation employs 95 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+83 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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