Comprehensive AI automation risk analysis and career outlook for Engineering Teachers, Postsecondary professionals
AI will partially impact Engineering Teachers, Postsecondary roles. With a 50% automation risk, some tasks may be automated, but human skills in creativity, problem-solving, and interpersonal communication remain crucial.
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.
Based on human expert analysis
This occupation has a moderate risk of AI automation. Some tasks may be automated, but human skills remain important.
Risk assessment based on the "GPTs are GPTs" research by OpenAI, analyzing task-level automation potential.
Latest data from Bureau of Labor Statistics
Detailed breakdown of how AI might impact specific tasks in this role