How sound recording industries are reshaped as AGI capability advances.

About 65% of the work in Sound Recording Industries 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: Because the child occupations lack pre-computed digital values, this score relies on the NAICS industry description and the named roles. The industry blends physical performance and acoustic equipment setup (Musicians, Singers, Audio and Video Technicians) with purely digital post-production, distribution, and publishing tasks (Editors, Sound Engineering Technicians, Music Directors). This combination of hands-on acoustic capture and software-based information processing places the sector firmly in the upper hybrid band.
grounded in the economy graph · digital scalar 0.65 · hybrid
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Sound Recording Industries 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 Sound Recording Industries inherits.
Sound Recording Industries 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.
Sound Recording Industries 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.
Sound Recording Industries employs 64 occupations — the workforce whose routine, information-shaped tasks an autonomous stack can take under typed authority.
+52 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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