Will AI replace Human Factors Engineers and Ergonomists?

Some of your tasks will be automated. People who use AI will have the edge.

Task exposure to today's AI

47/100

Moderate exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Human Factors Engineers and Ergonomists?

Not entirely. Today's AI tools can take on about 47% of the typical work in this occupation, mostly: write, review, or comment on documents, such as proposals, test plans, or procedures. The parts that stay human include: Advocate for end users in collaboration with other professionals, including engineers, designers, managers, or customers.; Design or evaluate human work systems, using human factors engineering and ergonomic principles to optimize usability, cost, quality, safety, or performance.; Collect data through direct observation of work activities or witnessing the conduct of tests..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Write, review, or comment on documents, such as proposals, test plans, or procedures. 78%

Prepare reports or presentations summarizing results or conclusions of human factors engineering or ergonomics activities, such as testing, investigation, or validation. 65%

Assess the user-interface or usability characteristics of products. 50%

Design or evaluate human work systems, using human factors engineering and ergonomic principles to optimize usability, cost, quality, safety, or performance. 47%

Conduct interviews or surveys of users or customers to collect information on topics, such as requirements, needs, fatigue, ergonomics, or interfaces. 47%

Collect data through direct observation of work activities or witnessing the conduct of tests. 33%

+ 20 more tasks (59% of the week) in the full test.

Your human edge

Advocate for end users in collaboration with other professionals, including engineers, designers, managers, or customers.
Design or evaluate human work systems, using human factors engineering and ergonomic principles to optimize usability, cost, quality, safety, or performance.
Collect data through direct observation of work activities or witnessing the conduct of tests.

AI tools to try

ChatGPT / Claude for calculations, specs and reportsAI features in CAD/BIM toolsCopilot for scripts (Python, MATLAB, Dynamo)

Related roles

A 3-phase AI learning plan

Phase 1

AI for documentation

Specifications, reports and change notes drafted with AI.
Standards and regulations searched with AI, checked in the source.
Meeting notes and RFIs summarised.

Project

Draft a full usability test report from your raw session notes with AI, verify every ISO 9241 or ANSI/HFES citation in the source standard, and log hours saved versus your last report.

Phase 2

AI in design work

Scripts and parametric design written with AI help.
Option studies and quick estimates with AI as a sparring partner.
Check AI outputs against calculations and codes.

Project

Use AI to script a workstation reach-and-posture option study comparing 3 layouts, then validate the RULA/NIOSH lifting scores by hand against the published equations.

Phase 3

Engineering + AI

Data from sensors, tests or simulations analysed with AI.
Define where AI is not allowed (safety-critical sign-off).
Share methods and templates with your team.

Project

Analyse one week of anonymised motion or force-sensor test data with AI, write a 1-page team template plus a rule list naming which safety-critical sign-offs stay human-only.

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