How college bars are reshaped as AGI capability advances.

Only about 15% of College Bars 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: Based on the company type name 'College Bars' and its described key roles (Bartenders, Barbacks, Bouncers, Porters), the primary value-producing work is overwhelmingly hands-on and location-dependent. Although there are minor administrative functions (Cash Management, Promotions Manager), the core tasks of serving drinks, crowd control, and facility sanitation require direct physical presence, placing this firmly 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.
Decomposed as an executable program, College Bars runs 10 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.
College Bars 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 College Bars resolves to 6 concrete tasks. Sorted into Code / Generative / Agentic / Human, this task ledger is exactly where the automation frontier is drawn.
College Bars 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 College Bars inherits.
The outcomes here that AI agents now deliver directly, where revenue scales with compute, not headcount.
College Bars 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.
College Bars typically employs 110 occupations — the labor mix whose desk-knowledge share is the most exposed to becoming digital employees first.
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College Bars staffs 7 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.
College Bars 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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