Agricultural Sciences Teachers, Postsecondary
SOC: 25-1041.00 · Job Zone: 5
Key Takeaways
- ●AI Impact Score: 54/100 — Partial Automation Likely. Partial automation is likely for key tasks in this occupation.
- ●9K workers currently employed.
- ●Mean annual wage: $86,350. Higher wages create stronger economic incentive for AI replacement.
- ●4 of 15 key tasks can already be performed by AI tools today.
What Agricultural Sciences Teachers, Postsecondary Do
Teach courses in the agricultural sciences. Includes teachers of agronomy, dairy sciences, fisheries management, horticultural sciences, poultry sciences, range management, and agricultural soil conservation. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
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AI Impact Analysis
Agricultural Sciences Teachers in postsecondary education represent a specialized workforce of 8,700 professionals earning a mean annual wage of $86,350. This Job Zone 5 occupation requires the highest level of education and experience, reflecting the complex blend of scientific expertise, research capabilities, and teaching skills required. With no projected employment change data available, the field appears stable but faces mounting pressure from AI automation across multiple core functions.
AI is rapidly automating several key tasks that comprise significant portions of these educators' workload. Course material preparation, including syllabi, homework assignments, and handouts, is being streamlined through tools like Claude and GPT-4, which can generate comprehensive agricultural science curricula in minutes. Grading and evaluation of student work is increasingly handled by AI-powered platforms like Gradescope and Turnitin, which can assess both objective and subjective components of agricultural science assignments. Research literature review and staying current with developments is being revolutionized by AI tools like Semantic Scholar and Elicit, which can synthesize vast amounts of agricultural research faster than any human. Administrative duties including record-keeping and scheduling are being automated through platforms like UiPath and Zapier.
Critical human-essential tasks center around the interpersonal and experiential aspects of agricultural education. Supervising laboratory sessions and field work requires physical presence, safety oversight, and real-time problem-solving that AI cannot replicate. Student advising on academic and career issues demands emotional intelligence, industry connections, and nuanced understanding of individual student circumstances. Facilitating classroom discussions and collaborative research addresses complex agricultural challenges requires human judgment, critical thinking, and the ability to synthesize diverse perspectives. The mentorship aspect of supervising undergraduate and graduate research work remains fundamentally human.
The automation timeline shows immediate impact in administrative and content creation tasks (1-3 years), followed by more sophisticated research assistance and preliminary grading capabilities (3-5 years). Universities are already implementing AI tutoring systems and automated course management, while research institutions deploy AI for data analysis and literature review. However, the core teaching, mentoring, and field supervision functions will remain human-dominated for the foreseeable future.
Major universities including UC Davis, Iowa State, and Texas A&M are piloting AI-powered course management systems and automated research tools. Agricultural technology companies like John Deere and Cargill are partnering with universities to integrate AI simulation tools into curricula, reducing the need for traditional lecture-based instruction while requiring professors to adapt to more facilitative roles.
Task-by-Task AI Analysis
| Task | AI Status |
|---|---|
Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences. AI can rapidly scan and summarize literature but human networking and conference participation remain essential. | AI Assists Now |
Advise students on academic and vocational curricula and on career issues. Requires emotional intelligence, industry connections, and personalized understanding of student goals. | Human Essential 5+ years |
Supervise undergraduate or graduate teaching, internship, and research work. Mentorship and research guidance require human judgment and expertise. | Human Essential 5+ years |
Supervise laboratory sessions and field work and coordinate laboratory operations. Physical presence, safety oversight, and real-time problem-solving cannot be automated. | Human Essential 5+ years |
Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. AI assists with data analysis and writing but research design and interpretation remain human. | AI Assists Now |
Prepare and deliver lectures to undergraduate or graduate students on topics such as crop production, plant genetics, and soil chemistry. AI can generate content but delivery and student interaction require human presence. | AI Assists 1-2 years |
Collaborate with colleagues to address teaching and research issues. Interpersonal collaboration and complex problem-solving require human communication. | Human Essential 5+ years |
Prepare course materials, such as syllabi, homework assignments, and handouts. AI can generate comprehensive course materials based on learning objectives. | AI Can Do This Now |
Evaluate and grade students' class work, laboratory work, assignments, and papers. AI can assess both objective and subjective components of agricultural science work. | AI Can Do This Now |
Maintain regularly scheduled office hours to advise and assist students. Personal mentoring and complex problem-solving require human interaction. | Human Essential 5+ years |
Initiate, facilitate, and moderate classroom discussions. Dynamic facilitation and reading room dynamics require human emotional intelligence. | Human Essential 5+ years |
Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. AI assists with content creation but curriculum design requires educational expertise. | AI Assists 1-2 years |
Perform administrative duties, such as serving as department head. Administrative tasks can be automated but leadership decisions remain human. | AI Assists 1-2 years |
Compile, administer, and grade examinations, or assign this work to others. AI can create, distribute, and grade examinations efficiently. | AI Can Do This Now |
Maintain student attendance records, grades, and other required records. Record-keeping is easily automated through workflow automation tools. | AI Can Do This Now |
AI Tools Disrupting Agricultural Sciences Teachers, Postsecondary
Key Skills
Key Tasks
- •Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
- •Advise students on academic and vocational curricula and on career issues.
- •Supervise undergraduate or graduate teaching, internship, and research work.
- •Supervise laboratory sessions and field work and coordinate laboratory operations.
- •Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- •Prepare and deliver lectures to undergraduate or graduate students on topics such as crop production, plant genetics, and soil chemistry.
- •Collaborate with colleagues to address teaching and research issues.
- •Prepare course materials, such as syllabi, homework assignments, and handouts.
- •Evaluate and grade students' class work, laboratory work, assignments, and papers.
- •Maintain regularly scheduled office hours to advise and assist students.
- •Initiate, facilitate, and moderate classroom discussions.
- •Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
Technology Skills Used
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Salary Range
Career Transition Guidance
Agricultural Sciences Teachers facing AI disruption have strong transition opportunities to related educational and agricultural roles. The closest transitions include Environmental Science Teachers, Biological Science Teachers, and Forestry and Conservation Science Teachers, where the core skills of instructing, critical thinking, and scientific knowledge transfer directly. These positions maintain similar salary ranges and educational requirements while potentially offering more growth opportunities.
For those seeking to move beyond academia, Farmers, Ranchers, and Agricultural Managers represent a practical transition leveraging field knowledge and problem-solving skills. Soil and Plant Scientists offer research-focused alternatives that build on existing scientific expertise. The transition timeline varies: moving to related teaching positions requires minimal additional training (6-12 months), while transitioning to management or pure research roles may require 1-3 years of additional certification or experience.
Success in any transition requires developing AI literacy to remain competitive. Those who can combine agricultural expertise with AI tools for data analysis, precision farming, or educational technology will find the strongest opportunities. Consider pursuing certifications in agricultural technology, data science, or educational AI to enhance marketability across all potential career paths.
Related Occupations
Frequently Asked Questions
Will AI replace Agricultural Sciences Teachers, Postsecondary?
No, AI will not fully replace the 8,700 Agricultural Sciences Teachers. While AI automates administrative tasks and content creation, the core functions of field supervision, student mentoring, and complex research guidance remain human-essential with our 54/100 moderate impact score.
What AI tools are used in Agricultural Sciences Teachers, Postsecondary roles?
Current tools include Claude and GPT-4 for content creation, Gradescope for automated grading, Semantic Scholar for literature review, UiPath for administrative automation, and existing platforms like Microsoft Office and Blackboard Learn integrated with AI capabilities.
What is the salary outlook for Agricultural Sciences Teachers, Postsecondary with AI?
The current mean annual wage of $86,350 is likely to remain stable or increase for those who adapt to AI-augmented roles. Professionals who embrace AI tools for efficiency while focusing on human-essential tasks like mentoring and field supervision will command premium salaries.
What skills should Agricultural Sciences Teachers, Postsecondary develop for the AI era?
Focus on the top human-essential skills: advanced instructing techniques, complex problem solving, critical thinking, and active listening. Develop AI literacy to leverage tools effectively while strengthening interpersonal skills for student mentoring and collaborative research.
How many Agricultural Sciences Teachers, Postsecondary jobs are there in the US?
There are currently 8,700 Agricultural Sciences Teachers in postsecondary institutions across the US. While no projected change data is available, the specialized nature of agricultural education and growing food security concerns suggest stable demand for qualified professionals.