How life, physical, and social science occupations are reshaped as AGI capability advances.

About 50% of the work in Life, Physical, and Social Science Occupations 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: Because the grounding block is empty of specific tools, activities, or context metrics for this major group, the scalar is anchored on the occupation name. 'Life, Physical, and Social Science Occupations' inherently mix digital knowledge work (research, data analysis) with hands-on tasks (laboratory experiments, fieldwork), placing it squarely in the hybrid band.
grounded in the economy graph · digital scalar 0.50 · hybrid
Which of this work becomes digital labor — performed under typed authority, promoted to autonomy on track record.
Life, Physical, and Social Science Occupations is typically employed by 567 company types — the demand side that decides which of this role's tasks get handed to agents, and on what authority.
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The software here going agent-consumable — where the API, not the UI, becomes the way the work gets done.
Life, Physical, and Social Science Occupations relies on 7 products. The headless dimension of each — whether an agent can call it without a screen — is what decides how much of this work goes hands-free.
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
+19 more problems on the graph
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