How food and beverage retailers are reshaped as AGI capability advances.

Only about 15% of Food and Beverage Retailers 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: I weighed the LENS description, which emphasizes physical handling (operating freezers, processing food products, maintaining sanitary conditions), alongside the named child occupations (Bakers, Butchers and Meat Cutters, Food Batchmakers, Pharmacy Aides). These signals point entirely to hands-on, site-bound physical labor and customer service, capping the digital scalar at a firm 0.15 since the core value step requires human physical presence.
grounded in the economy graph · digital scalar 0.15 · physical
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Food and Beverage Retailers 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 Food and Beverage Retailers inherits.
Food and Beverage Retailers links to 3 entities via `specializes` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
Food and Beverage Retailers is itself composed of 7 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.
Food and Beverage Retailers employs 157 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+145 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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