Public Policy Think Tanks
How public policy think tanks are reshaped as AGI capability advances.
The bottom line
Roughly 85% of the work in Public Policy Think Tanks 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: The grounding hints indicate this company type is rooted in the 'Research and Development in the Social Sciences and Humanities' industry, heavily employing Sociologists, Industrial-Organizational Psychologists, and Social Science Research Assistants. Supported by key roles like Policy Analyst and Quantitative Researcher, the organization's core value output is information transformation—researching, analyzing data, and drafting policy. This strong reliance on remotely-addressable knowledge work places the focus firmly in the digital band, with minor hybrid elements from in-person convenings and advocacy.
grounded in the economy graph · digital scalar 0.85 · digital
Business-as-Code
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Decomposed as an executable program, Public Policy Think Tanks runs 11 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.
Public Policy Think Tanks 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 Public Policy Think Tanks resolves to 8 concrete tasks. Sorted into Code / Generative / Agentic / Human, this task ledger is exactly where the automation frontier is drawn.
Public Policy Think Tanks 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 Public Policy Think Tanks inherits.
Services-as-Software
The outcomes here that AI agents now deliver directly, where revenue scales with compute, not headcount.
Public Policy Think Tanks uses 6 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.
Public Policy Think Tanks typically employs 152 occupations — the labor mix whose desk-knowledge share is the most exposed to becoming digital employees first.
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Public Policy Think Tanks staffs 8 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.
Public Policy Think Tanks relies on 6 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 Public Policy Think Tanks sits
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