How transit and ground passenger transportation are reshaped as AGI capability advances.

Only about 15% of Transit and Ground Passenger Transportation 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 the child occupations have no known digital values, the scalar relies entirely on the NAICS lens prior and industry description. The sector is defined by physical passenger transportation activities, such as operating urban transit systems, school buses, and taxis. Since the core value delivery requires hands-on vehicle operation and AI is limited to orchestration tasks like dispatch and scheduling, the industry sits squarely in the physical band.
grounded in the economy graph · digital scalar 0.15 · physical
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Transit and Ground Passenger Transportation 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 Transit and Ground Passenger Transportation inherits.
Transit and Ground Passenger Transportation links to 6 entities via `specializes` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
Transit and Ground Passenger Transportation links to 76 entities via `suppliesTo` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
+64 more via suppliesTo
Transit and Ground Passenger Transportation is itself composed of 10 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.
Transit and Ground Passenger Transportation employs 119 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+107 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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