
About 60% of the work in Real Estate 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 among the listed child occupations, the scalar relies entirely on the NAICS industry lens. The sector focuses on renting, leasing, managing, and selling real estate, as well as REIT administration. Because the core work consists of administrative, legal, and financial transactions paired with physical property showings and on-site management—while explicitly excluding physical construction—it lands firmly in the hybrid band.
grounded in the economy graph · digital scalar 0.60 · hybrid
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Real Estate 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 Real Estate inherits.
Real Estate links to 3 entities via `specializes` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
Real Estate links to 88 entities via `suppliesTo` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
+76 more via suppliesTo
Real Estate is itself composed of 8 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.
Real Estate employs 231 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+219 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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