Occupation

Human Factors Engineers and Ergonomists

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.

91 AI exposure

34 Human advantage

70 Market demand

65 AI leverage

Is Human Factors Engineers and Ergonomists a safe career from AI?

Human Factors Engineers and Ergonomists scores 91 out of 100 for AI exposure, which is high. A large share of this work is the kind current AI systems are measurably good at. That is not a prediction the job disappears, and the research does not support one. It means more of this role is likely to change than most.

Its human advantage score is 34, which is low. Most of this role can be done through a screen, and that is the half of the labor market AI has reached first. Market demand scores 70 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment growing 12.4% over ten years.

What Human Factors Engineers and Ergonomists pay

The median wage is $101,140 a year. The lower quarter earns under $81,910 and the upper quarter over $127,480. About 350,230 people do this work in the United States.

Where Human Factors Engineers and Ergonomists can go next

Occupations that share most of what this job already requires, ranked by how much carries over.

Computer and Information Systems Managers 88% of the skills carry over $171k median

Database Architects 90% of the skills carry over $136k median

Nurse Midwives 84% of the skills carry over $129k median

Computer Network Architects 86% of the skills carry over $130k median

Thinking about moving out of Human Factors Engineers and Ergonomists?

Answer three questions and see which jobs you could move into, what carries over from your own experience, and who is hiring.

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Where this comes from

Work content and transitions from O*NET, the US Department of Labor's occupational database. Wages and employment projections from the Bureau of Labor Statistics. AI exposure from published research measuring which occupations current AI capabilities overlap with. None of it is a forecast, and none of these numbers are ours: they are public data, put next to each other.

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