How technical and trade schools are reshaped as AGI capability advances.

About 50% of the work in Technical and Trade Schools is information-shaped and increasingly AI-deliverable, with the rest a hybrid of judgment and hands-on work. The automation frontier runs straight through the middle of this role.
Why: No child occupations have known digital values, so I relied on the industry description. Technical and trade schools provide vocational training for fields like truck driving, cosmetology, and nursing. This blends classroom instruction and remote learning (knowledge work) with hands-on, physical demonstrations and equipment operation, mapping to a true hybrid band.
grounded in the economy graph · digital scalar 0.50 · hybrid
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Technical and Trade Schools 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 Technical and Trade Schools inherits.
Technical and Trade Schools 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.
Technical and Trade Schools 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.
Technical and Trade Schools employs 203 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+191 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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