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Occupation

Engineering Teachers, Postsecondary

Teach courses pertaining to the application of physical laws and principles of engineering for the development of machines, materials, instruments, processes, and services. Includes teachers of subjects such as chemical, civil, electrical, industrial, mechanical, mineral, and petroleum engineering. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.

96 AI exposure
22 Human advantage
61 Market demand
63 AI leverage

Is Engineering Teachers, Postsecondary a safe career from AI?

Engineering Teachers, Postsecondary scores 96 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 22, 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 61 out of 100, combining how many of these jobs exist with where that number is heading. The Bureau of Labor Statistics projects employment growing 7.8% over ten years.

What Engineering Teachers, Postsecondary pay

The median wage is $106,120 a year. The lower quarter earns under $80,060 and the upper quarter over $136,400. About 39,910 people do this work in the United States.

Where Engineering Teachers, Postsecondary can go next

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

Biofuels/Biodiesel Technology and Product Development Managers 88% of the skills carry over $168k median
Water Resource Specialists 89% of the skills carry over $161k median
Architectural and Engineering Managers 86% of the skills carry over $168k median
Telecommunications Engineering Specialists 83% of the skills carry over $130k median

Thinking about moving out of Engineering 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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