HUMANPLACE

Occupation

Industrial-Organizational Psychologists

Apply principles of psychology to human resources, administration, management, sales, and marketing problems. Activities may include policy planning; employee testing and selection, training, and development; and organizational development and analysis. May work with management to organize the work setting to improve worker productivity.

97 AI exposure
19 Human advantage
51 Market demand
62 AI leverage

Is Industrial-Organizational Psychologists a safe career from AI?

Industrial-Organizational Psychologists scores 97 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 19, 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 51 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment growing 6.5% over ten years.

What Industrial-Organizational Psychologists pay

The median wage is $109,840 a year. The lower quarter earns under $80,790 and the upper quarter over $198,170. About 1,050 people do this work in the United States.

Where Industrial-Organizational Psychologists can go next

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

Chief Executives 90% of the skills carry over $206k median
Chief Sustainability Officers 90% of the skills carry over $206k median
Nurse Practitioners 86% of the skills carry over $129k median
Natural Sciences Managers 87% of the skills carry over $161k median

Thinking about moving out of Industrial-Organizational Psychologists?

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

Show me where to go

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.

Check a different job