Public Power Authorities
How public power authorities are reshaped as AGI capability advances.
The bottom line
About 35% of the work in Public Power Authorities 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: The company type inherits from the 'Hydroelectric Power Generation' industry (NAICS 221111). Its key roles blend hands-on physical infrastructure work (Substation Electricians, Hydro Millwrights, Electrical Repairers) with instrumented control, engineering, and coordination (Power Plant Operators, System Dispatchers, Energy Schedulers). This mix of heavy physical plant maintenance and control-room operations drives a physical-leaning hybrid score.
grounded in the economy graph · digital scalar 0.35 · hybrid
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Decomposed as an executable program, Public Power Authorities runs 12 core processes — each a candidate for the Code / Generative / Agentic / Human split, with the agentic and code-shaped steps the first to come off human headcount.
Public Power Authorities is organized into 8 departments. Read as functions of one executable business, each department is a unit of work whose back-office share is increasingly delivered by earned-autonomy digital labor.
The operating model of Public Power Authorities resolves to 8 concrete tasks. Sorted into Code / Generative / Agentic / Human, this task ledger is exactly where the automation frontier is drawn.
Public Power Authorities 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 Public Power Authorities inherits.
Services-as-Software
The outcomes here that AI agents now deliver directly, where revenue scales with compute, not headcount.
Public Power Authorities uses 6 products to deliver its outcomes — the toolchain whose work an autonomous stack absorbs as the service becomes software.
Autonomous Agents as digital employees
Which of this work becomes digital labor — performed under typed authority, promoted to autonomy on track record.
Public Power Authorities typically employs 48 occupations — the labor mix whose desk-knowledge share is the most exposed to becoming digital employees first.
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Public Power Authorities staffs 8 job types — the roles that, decomposed to tasks, are first in line to run as supervised-then-autonomous digital labor.
Headless SaaS for Agents
The software here going agent-consumable — where the API, not the UI, becomes the way the work gets done.
Public Power Authorities relies on 6 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.
The problems this exposes
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
Where Public Power Authorities sits
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