How language schools are reshaped as AGI capability advances.

Roughly 75% of the work in Language Schools 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: Because no child occupations or products are seeded, the scalar is derived from the NAICS industry description ('offering foreign language instruction'). The core value-producing work is pure information transfer and cognitive skill building (conversational practice, grammar, sign language), which is remotely doable and highly addressable by digital tools and AI tutors, placing it firmly in the digital band despite the legacy of physical classrooms.
grounded in the economy graph · digital scalar 0.75 · digital
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Language Schools 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 Language Schools inherits.
Language Schools 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.
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
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