How funds, trusts, and other financial vehicles are reshaped as AGI capability advances.

Roughly 90% of the work in Funds, Trusts, and Other Financial Vehicles is information-shaped — already within reach of AI delivery. The question here is not whether it shifts, but which tasks go first and who staffs the residual.
Why: Because the listed child occupations carry unknown digital values, the scalar relies entirely on the NAICS lens prior and description. The subsector is defined as legal entities that 'pool securities or other assets' to manage portfolios for 'risk, rate of return, and price volatility.' As the output consists entirely of abstract financial vehicles, legal trusts, and ledger-based investment income, the underlying value is purely informational and heavily digital.
grounded in the economy graph · digital scalar 0.90 · digital
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Funds, Trusts, and Other Financial Vehicles 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 Funds, Trusts, and Other Financial Vehicles inherits.
Funds, Trusts, and Other Financial Vehicles links to 2 entities via `specializes` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
Funds, Trusts, and Other Financial Vehicles links to 1 entity via `suppliesTo` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
Funds, Trusts, and Other Financial Vehicles 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.
Funds, Trusts, and Other Financial Vehicles employs 85 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+73 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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