How retire outdated and poor performing city services are reshaped as AGI capability advances.

Roughly 85% of the work in Retire outdated and poor performing city services is information-shaped — already within reach of AI delivery.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 there are no seeded child occupations for this composite, the scalar is derived entirely from the process name and its industry context (Executive, Legislative, and Other General Government Support). The work of evaluating and retiring city services consists of administrative, policy, and analytical tasks—all information-transformation work—rather than physical execution, pointing squarely to a high digital scalar.
grounded in the economy graph · digital scalar 0.85 · digital
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Retire outdated and poor performing city services sits inside a larger value-flow — 1 parent structure it composes into. The hierarchy is grounding, not the story: it tells you which aggregate exposure Retire outdated and poor performing city services inherits.
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Trigger: A performance review, budget analysis, or citizen feedback report flags a city service as obsolete or consistently underperforming.
Outcome: The service is formally decommissioned, affected citizens are transitioned to alternatives, and budget and personnel are reallocated.