AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Human Factors Engineers and Ergonomists

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Plan prototype evaluation methods and stats

    Use an agent to turn your prototype study notes into a draft research plan, including the method, measures, timing, and resource needs.

  2. 2

    Design and test a cognitive aid

    Use an agent to draft a procedural aid, decision support sheet, or storyboard from your notes, then collect user feedback from test runs and summarize what caused confusion or errors.

  3. 3

    Define human performance requirements

    Use an agent to organize your observation notes, survey results, task measurements, and user comments into a draft set of human performance and interface requirements.

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O*NET-SOC 17-2112.01 · #239 of 923

Result context

How to read this result

Design objects, facilities, and environments to optimize human well-being and overall system performance, applying theory, principles, and data regarding the relationship between humans and respective technology. Investigate and analyze characteristics of human behavior and performance as it relates to the use of technology.

National position
#239 of 923 occupations
Top 26% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Strong · 75/100
Meaningful work covered
69%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Plan prototype evaluation methods and stats

How you could use an agent

Use an agent to turn your prototype study notes into a draft research plan, including the method, measures, timing, and resource needs. It can compare the plan against the prototype scope and flag missing pieces so you can decide whether the study is practical before testing starts.

Where you stay involved

You review the plan, adjust the methods, and decide whether the study can move ahead. You handle any ethics, staffing, budget, or schedule changes that come up.

Review level: Medium

2

Design and test a cognitive aid

How you could use an agent

Use an agent to draft a procedural aid, decision support sheet, or storyboard from your notes, then collect user feedback from test runs and summarize what caused confusion or errors. It can compare the revised draft with the original procedure so you can see what needs another round of editing.

Where you stay involved

You judge whether the aid is clear, useful, and safe for the task, and you approve any wording that goes into production. You keep out anything that conflicts with rules or creates risk in a critical step.

Review level: High

3

Define human performance requirements

How you could use an agent

Use an agent to organize your observation notes, survey results, task measurements, and user comments into a draft set of human performance and interface requirements. It can compare those needs with the current equipment or workflow so you can spot where the design does not fit the job.

Where you stay involved

You decide which requirements are valid, refine the language, and approve anything that changes the system design or training plan. You also handle the discussions with engineers, managers, or users.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

70 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency72
AI capability81
Digital actionability77
End-to-end leverage73
Safety & reversibility69
Meaningful-work coverage
69%
Physical-work modifier
Limited
Safety modifier
Limited
Qualitative judgment
No material constraint
O*NET task evidence
26 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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