How community weeklies are reshaped as AGI capability advances.

Roughly 80% of the work in Community Weeklies 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: Weighed the company type's description and parent industry alongside its core employed roles. The vast majority of the highlighted staff are knowledge workers engaged in information transformation, including Reporters (35%), Desktop Publishers (25%), and Editors (19%). However, the presence of physical operations like production, prepress, and route drivers pulls the scalar down from pure digital, landing it in the lower end of the digital band.
grounded in the economy graph · digital scalar 0.80 · digital
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Decomposed as an executable program, Community Weeklies runs 11 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.
Community Weeklies is organized into 7 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 Community Weeklies resolves to 7 concrete tasks. Sorted into Code / Generative / Agentic / Human, this task ledger is exactly where the automation frontier is drawn.
Community Weeklies 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 Community Weeklies inherits.
The outcomes here that AI agents now deliver directly, where revenue scales with compute, not headcount.
Community Weeklies uses 7 products to deliver its outcomes — the toolchain whose work an autonomous stack absorbs as the service becomes software.
Which of this work becomes digital labor — performed under typed authority, promoted to autonomy on track record.
Community Weeklies typically employs 135 occupations — the labor mix whose desk-knowledge share is the most exposed to becoming digital employees first.
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Community Weeklies staffs 8 job types — the roles that, decomposed to tasks, are first in line to run as supervised-then-autonomous digital labor.
The software here going agent-consumable — where the API, not the UI, becomes the way the work gets done.
Community Weeklies relies on 7 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.
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
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