How animal slaughtering and processing are reshaped as AGI capability advances.

Only about 10% of Animal Slaughtering and Processing 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 no child occupations or products are seeded, the score relies entirely on the NAICS industry name and description. The industry is defined by 'slaughtering animals,' 'preparing processed meats,' and 'assembly cutting and packing,' which are intensely manual, hands-on industrial tasks. Since the value-producing output is exclusively physical goods requiring on-site labor and machinery, it falls squarely into the physical band.
grounded in the economy graph · digital scalar 0.10 · physical
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Animal Slaughtering and Processing 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 Animal Slaughtering and Processing inherits.
Animal Slaughtering and Processing 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.
Animal Slaughtering and Processing 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.
Animal Slaughtering and Processing employs 166 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+154 more via employs
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
+4 more problems on the graph
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