How drinking places (alcoholic beverages) are reshaped as AGI capability advances.
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Only about 15% of Drinking Places (Alcoholic Beverages) 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: Weighed the NAICS lens prior for 'Drinking Places (Alcoholic Beverages)' alongside its child occupations. While the listed children (Bartenders, Dishwashers, Chefs, Dancers) lack pre-computed scalars, their names describe fundamentally hands-on, in-person hospitality and food/beverage preparation work, placing this industry's value creation 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.
Drinking Places (Alcoholic Beverages) 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 Drinking Places (Alcoholic Beverages) inherits.
Drinking Places (Alcoholic Beverages) is itself composed of 10 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.
Drinking Places (Alcoholic Beverages) employs 86 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+74 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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