Education · SOC 25-1011
AI accelerates grading and content prep, but the irreplaceable parts of teaching — mentorship, debate, research supervision — stay human.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI grading and adaptive learning tools will reduce routine instructional labor by 2027-2028, but tenured research and mentorship roles remain robust through the 2030s.
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Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Business Teachers, Postsecondary is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Business Teachers, Postsecondary is 42/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
42 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Grading student assignments and papers, Drafting syllabi and course handouts, Advising on standard career and curriculum paths, Planning and revising standard course content. Harder to automate: Delivering engaging live lectures and discussions, Mentoring students through complex career decisions, Conducting original research and publishing, Building industry partnerships for student access.
Lean into AI-assisted course design, Pedagogical innovation, Applied research, Industry network development, Student mentorship. Consider roles such as Corporate Training Director or Business School Department Chair or Executive Education Program Designer.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.