How restaurants and other eating places are reshaped as AGI capability advances.

About 35% of the work in Restaurants and Other Eating Places 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: With no child components provided, I relied entirely on the NAICS lens prior and the industry description. The core value-producing work—preparing meals, serving patrons at tables or counters, and delivering specialty snacks—is heavily hands-on and physical. However, orchestration layers like point-of-sale systems, digital ordering, and inventory management introduce some digital coordination, making this a physical-leaning hybrid industry.
grounded in the economy graph · digital scalar 0.35 · hybrid
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Restaurants and Other Eating Places 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 Restaurants and Other Eating Places inherits.
Restaurants and Other Eating Places links to 4 entities via `specializes` — a real edge on the economy graph, surfaced here so the claim stays grounded in data rather than assertion.
Restaurants and Other Eating Places is itself composed of 4 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.
Restaurants and Other Eating Places employs 135 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+123 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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