HUMANPLACE

Occupation

Area, Ethnic, and Cultural Studies Teachers, Postsecondary

Teach courses pertaining to the culture and development of an area, an ethnic group, or any other group, such as Latin American studies, women's studies, or urban affairs. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

95 AI exposure
21 Human advantage
54 Market demand
62 AI leverage

Is Area, Ethnic, and Cultural Studies Teachers, Postsecondary a safe career from AI?

Area, Ethnic, and Cultural Studies Teachers, Postsecondary scores 95 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 21, 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 54 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment roughly flat over ten years.

What Area, Ethnic, and Cultural Studies Teachers, Postsecondary pay

The median wage is $84,290 a year. The lower quarter earns under $64,320 and the upper quarter over $107,810. About 11,430 people do this work in the United States.

Where Area, Ethnic, and Cultural Studies Teachers, Postsecondary can go next

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

Anthropology and Archeology Teachers, Postsecondary 95% of the skills carry over $96k median
English Language and Literature Teachers, Postsecondary 92% of the skills carry over $78k median
Loss Prevention Managers 82% of the skills carry over $137k median
Compliance Managers 83% of the skills carry over $137k median

Thinking about moving out of Area, Ethnic, and Cultural Studies Teachers, Postsecondary?

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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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