Education · SOC 25-1041
Field-based agricultural research and lab supervision are highly human; only routine academic admin is meaningfully AI-exposed.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI will streamline literature review and data analysis within 3 years, but the hands-on nature of agricultural field research keeps faculty roles stable well into the 2030s.
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$100,830 median pay
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Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Agricultural Sciences 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 Agricultural Sciences Teachers, Postsecondary is 38/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
38 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: Drafting syllabi, course handouts, and assignments, Grading student lab and class work, Advising on standard curricula and career paths, Planning and revising standard course content. Harder to automate: Supervising field experiments and lab operations, Delivering applied agricultural lectures, Mentoring students through fieldwork, Conducting original agronomic research.
Lean into Precision agriculture technologies, Research grant writing, Field experiment design, AI tools for plant genomics analysis. Consider roles such as Agricultural Research Scientist or Extension Service Specialist or Food Systems Policy Advisor.
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.