Pure-Play Wildcatters
How pure-play wildcatters are reshaped as AGI capability advances.
The bottom line
Only about 25% of Pure-Play Wildcatters 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: With no seeded child JobTypes, the score relies on the company description and parent industry. While Pure-Play Wildcatters employ numerous knowledge roles (Geophysicists, A&D Analysts, Landmen) for prospect generation and reservoir evaluation, the firm operates within the 'Crude Petroleum Extraction' parent industry (which functions as a < 0.3 physical prior). The ultimate value-producing output is the physical drilling and extraction of oil at the wellsite, keeping the composite firmly in the physical band despite heavy digital orchestration.
grounded in the economy graph · digital scalar 0.25 · physical
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Decomposed as an executable program, Pure-Play Wildcatters runs 10 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.
Pure-Play Wildcatters is organized into 7 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 Pure-Play Wildcatters resolves to 8 concrete tasks. Sorted into Code / Generative / Agentic / Human, this task ledger is exactly where the automation frontier is drawn.
Pure-Play Wildcatters 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 Pure-Play Wildcatters inherits.
Services-as-Software
The outcomes here that AI agents now deliver directly, where revenue scales with compute, not headcount.
Pure-Play Wildcatters uses 7 products to deliver its outcomes — the toolchain whose work an autonomous stack absorbs as the service becomes software.
Autonomous Agents as digital employees
Which of this work becomes digital labor — performed under typed authority, promoted to autonomy on track record.
Pure-Play Wildcatters staffs 7 job types — the roles that, decomposed to tasks, are first in line to run as supervised-then-autonomous digital labor.
Headless SaaS for Agents
The software here going agent-consumable — where the API, not the UI, becomes the way the work gets done.
Pure-Play Wildcatters 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.
The problems this exposes
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
Where Pure-Play Wildcatters sits
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