How social assistance are reshaped as AGI capability advances.

About 40% of the work in Social Assistance 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: With no known digital values for the child occupations, the evaluation relies on the industry lens. The 'Social Assistance' subsector involves providing services 'directly to clients,' which encompasses both hands-on physical assistance (such as childcare, food distribution, and emergency relief) and administrative casework (coordination, charting, and counseling). This blend of in-person service delivery and case management places the industry firmly in the hybrid band.
grounded in the economy graph · digital scalar 0.40 · hybrid
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Social Assistance 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 Social Assistance inherits.
Social Assistance 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.
Social Assistance is itself composed of 7 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.
Social Assistance employs 344 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+332 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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