Somewhat Resilient
Last Update: 7/31/2026
AI Resilience Score for Agri Sci Teachers, Postsec:
39.2%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forAgricultural Sciences Teachers, Postsecondary
$98,700 median salary•800 annual openings•SOC Code: 25-1041.00
Agricultural Sciences Teachers, Postsecondary are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career lands in "Somewhat Resilient" because AI is already changing a meaningful chunk of the day-to-day work, like drafting lesson plans, writing grant proposals, and handling administrative tasks, but the heart of the job still depends on skills that AI cannot replicate. Things like mentoring students, running hands-on labs, doing field work, and building trust with farmers and communities require human judgment and real relationships.
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This career lands in "Somewhat Resilient" because AI is already changing a meaningful chunk of the day-to-day work, like drafting lesson plans, writing grant proposals, and handling administrative tasks, but the heart of the job still depends on skills that AI cannot replicate. Things like mentoring students, running hands-on labs, doing field work, and building trust with farmers and communities require human judgment and real relationships.
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Agri Sci Teachers, Postsec
Updated Quarterly
How is AI changing Agri Sci Teachers, Postsec jobs?
If you're heading toward a career teaching agriculture in college, here's the honest news: AI is already showing up in a lot of the work, but mostly as a helper — not a replacement. A new analysis covered by NPR found that about 40% of administrators and 30% of instructors use generative AI daily or weekly, up from just 2% and 4% in 2023, with professors using tools like Claude for curriculum development, designing lesson plans, conducting research, writing grant proposals, managing budgets, and grading. In agriculture specifically, a 2026 Journal of Agricultural Education study [1] tested ChatGPT on Extension program-planning questions and found experts rated ChatGPT's responses "partially correct" for 60% of the prompts, concluding the tool has potential as a support tool but still needs expert oversight, responsible use, and a chatbot trained on research-based data.
Grant writing — the highest-automation task on your list — is also being augmented: a Nature news article [2] reports that scientists are increasingly turning to AI for help drafting grant proposals, though preliminary data indicate these tools might be pulling research toward safer, less-innovative ideas. Meanwhile, a 2026 study in Natural Sciences Education [3] on agricultural leadership and communications students confirmed that AI is becoming part of how future ag professionals learn.
Sources
How fast is AI adoption growing for Agri Sci Teachers, Postsec?
Adoption in ag education will likely be steady but uneven. On the "go faster" side, tools like ChatGPT and Claude are cheap or free, and an Anthropic-based analysis [4] showed 57% of professors' AI conversations related to curriculum development like designing lesson plans and assignments, with educators automating tedious administrative tasks while teaching design stayed collaborative. On the "go slower" side, a Frontiers in Education survey [5] found main barriers are external factors — academic dishonesty, confidentiality, and AI hallucinations — revealing a crisis of trust among instructors.
Inside Higher Ed [6] also warns that if AI experiences a major market correction, external pressures for academia to deploy AI could slacken, along with internal demands from faculty and governing boards. The hopeful takeaway: tasks like recruiting students, advising on careers, hands-on labs, field work, and consulting with farmers depend on judgment, mentorship, and trust — exactly the human skills AI struggles to replicate. Building those alongside AI fluency is your best move.
Sources
Will AI replace Agri Sci Teachers, Postsec?
Not entirely. We think AI will take over some tasks, but not the whole job.
Agricultural sciences teachers already work alongside AI tools for things like curriculum design, grant writing, and grading. A study testing ChatGPT on extension program-planning questions found it gave partially correct responses 60% of the time, useful enough to assist but still requiring expert oversight [1]. Separately, professors are using AI for lesson planning and administrative work, with one analysis finding 57% of educators' AI conversations centered on curriculum development [4]. So the automation is real and already happening.
What stays human is the core of the job: advising students, running field labs, consulting with farmers, and building the kind of mentorship relationships that shape early careers. Those depend on judgment, trust, and hands-on experience that AI genuinely cannot replicate. Barriers like concerns over academic dishonesty and AI hallucinations are also slowing adoption [5], which means human oversight stays essential for now.
Our 39.2% AI Resilience Score reflects that this role faces meaningful pressure. Job market growth through 2034 is limited, so competition will likely stay tight. The honest advice: get comfortable using AI tools, but invest just as hard in the field knowledge, mentorship skills, and research credibility that no chatbot can substitute for.
Sources
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Latest AI news for Agri Sci Teachers, Postsec
These articles highlight the growing role of AI in agricultural education, crucial for future Agricultural Sciences Teachers. For example, the pedagogical approach discussed in the first article emphasizes integrating AI with humanities, which can enhance teaching methods in STEM fields. The job postings reveal opportunities to develop courses on AI applications in agriculture, preparing educators to lead in this evolving landscape. Embracing these advancements fosters AI resilience, ensuring that future teachers remain relevant and effective in nurturing the next generation of agricultural professionals.
Asst/Associate Professor Artificial Intelligence in Agriculture
www.higheredjobs.com • 7/20/2026
Develop and teach undergraduate and graduate courses related to AI and its applications in agricultural and environmental sciences, utilizing project-based and ... Read more
Assistant Professor in Artificial Intelligence for Agriculture ...
careers.nationalpostdoc.org • 7/20/2026
5 days ago — We seek a creative and motivated individual working at the interface of AI, data science, computing, and agricultural or environmental systems, ... Read more
Assistant Professor: AI for Agriculture Education | Raleigh
www.jobleads.com • 7/20/2026
North Carolina State University is seeking an Assistant Professor to lead in Digital Technology, Machine Learning, and AI in Agriculture Education. Read more
AI in Agriculture: Education, Research, Extension | PDF
www.scribd.com • 7/20/2026
Jan 7, 2026 — The document discusses the integration of AI in agricultural education, research, and extension, highlighting current applications such as ... Read more
A pedagogical approach: toward leveraging mathematical modeling and AI to support integrating humanities into STEM education
www.frontiersin.org • 11/18/2024
Department of Education and Agricultural Sciences and the Department of Educational Practice and Research, Oregon State University, Corvallis, OR,...
More Career Info
Career: Agricultural Sciences Teachers, Postsecondary
They teach college students about farming, plants, and animals, helping them understand how to improve agriculture and solve related problems.
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Employment & Wage Data
Median Wage
$98,700
Jobs (2024)
10,700
Growth (2024-34)
+4.1%
Annual Openings
800
Education
Doctoral or professional degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Perform administrative duties such as serving as department head.
2
Participate in campus and community events.
3
Provide professional consulting services to government or industry.
4
Compile, administer, and grade examinations, or assign this work to others.
5
Participate in student recruitment, registration, and placement activities.
6
Supervise undergraduate or graduate teaching, internship, and research work.
7
Maintain regularly scheduled office hours to advise and assist students.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
