How wet blue producers are reshaped as AGI capability advances.

Only about 15% of Wet Blue Producers 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: The LENS prior and description for 'Wet Blue Producers' indicate a heavily physical manufacturing operation anchored in the 'Leather and Hide Tanning and Finishing' industry (NAICS 3161). The core value-producing work relies on manual and machine-operated trades, as evidenced by staffed occupations like Shoe and Leather Workers and roles such as Fleshing Machine Operator, Drum Operator, and Hide Trimmer. Because the primary output involves the physical processing and chemical treatment of animal hides, the work cannot be digitized, placing this 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.
Decomposed as an executable program, Wet Blue Producers runs 12 core processes — each a candidate for the Code / Generative / Agentic / Human split, with the agentic and code-shaped steps the first to come off human headcount.
Wet Blue Producers is organized into 8 departments. Read as functions of one executable business, each department is a unit of work whose back-office share is increasingly delivered by earned-autonomy digital labor.
The operating model of Wet Blue Producers resolves to 7 concrete tasks. Sorted into Code / Generative / Agentic / Human, this task ledger is exactly where the automation frontier is drawn.
Wet Blue Producers 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 Wet Blue Producers inherits.
The outcomes here that AI agents now deliver directly, where revenue scales with compute, not headcount.
Wet Blue Producers uses 7 products to deliver its outcomes — the toolchain whose work an autonomous stack absorbs as the service becomes software.
Which of this work becomes digital labor — performed under typed authority, promoted to autonomy on track record.
Wet Blue Producers typically employs 22 occupations — the labor mix whose desk-knowledge share is the most exposed to becoming digital employees first.
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Wet Blue Producers staffs 8 job types — the roles that, decomposed to tasks, are first in line to run as supervised-then-autonomous digital labor.
The software here going agent-consumable — where the API, not the UI, becomes the way the work gets done.
Wet Blue Producers relies on 7 products. The headless dimension of each — whether an agent can call it without a screen — is what decides how much of this work goes hands-free.
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
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