How human factors research labs are reshaped as AGI capability advances.

Roughly 75% of the work in Human Factors Research Labs 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 company type 'Human Factors Research Labs' and its parent industry (Social Sciences R&D) are anchored by high-digital knowledge work, primarily employing I-O Psychologists, Sociologists, and Biostatisticians for data analytics and experimental design. While roles like Prototyping Engineers and Simulation Technicians managing physical ergonomics introduce hands-on hybrid elements, the core value output relies heavily on information transformation and software-based modeling, placing it in the lower end of the digital band.
grounded in the economy graph · digital scalar 0.75 · digital
Read as an executable program — the work decomposed into Code, Generative, Agentic, and Human.
Decomposed as an executable program, Human Factors Research Labs 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.
Human Factors Research Labs 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 Human Factors Research Labs resolves to 8 concrete tasks. Sorted into Code / Generative / Agentic / Human, this task ledger is exactly where the automation frontier is drawn.
Human Factors Research Labs 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 Human Factors Research Labs inherits.
The outcomes here that AI agents now deliver directly, where revenue scales with compute, not headcount.
Human Factors Research Labs uses 8 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.
Human Factors Research Labs typically employs 152 occupations — the labor mix whose desk-knowledge share is the most exposed to becoming digital employees first.
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Human Factors Research Labs 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.
Human Factors Research Labs relies on 8 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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