Somewhat Resilient
Last Update: 6/19/2026
AI Resilience Score for Agri Sci Teachers, Postsec:
42.6%
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
$86,350 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 6 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.
Learn more about how you can thrive in this position
This role is somewhat resilient
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.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
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.
Our scorecard gives this career a 42.6% AI Resilience Score, which means real change is coming, just not a full replacement. AI is already handling a lot of the routine work. About 57% of professors' AI conversations involve curriculum design like building lesson plans and assignments [4], and tools like ChatGPT are being used for grant writing, research, and grading. A study on Extension program planning found ChatGPT rated "partially correct" on 60% of prompts, useful as a support tool but still requiring expert oversight [1].
What stays human is the core of the job: mentoring students through hands-on labs and field work, advising on careers, building trust with farming communities, and making judgment calls that require real-world agricultural experience. Those things are genuinely hard to automate.
The trickier part is job market demand, which our data rates as low through 2034. That means this career faces pressure not just from AI but from slower hiring overall. The upside is that teachers who get comfortable using AI tools while deepening their practical expertise will be in the strongest position. Barriers like concerns about academic dishonesty and AI hallucinations are slowing full adoption [5], which gives you time to adapt.
Sources

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Latest AI news for Agri Sci Teachers, Postsec
These articles highlight the evolving role of AI in agricultural education, emphasizing the need for Agricultural Sciences Teachers to adapt and integrate technology into their curricula. For instance, simulators for livestock training enhance hands-on learning, making classes more effective. Additionally, understanding AI's impact on teaching roles, as discussed in the automation risk assessment, helps educators prepare for future challenges. Engaging with these developments fosters resilience in a career increasingly influenced by technological advancements, ensuring that educators remain relevant and impactful in shaping the next generation of agricultural professionals.
Will AI Replace Agricultural Sciences Teachers, Postsecondary?
www.aiexposure.org • 6/20/2026
Agricultural Sciences Teachers, Postsecondary have an AI automation risk score of 51/100. Learn about risk factors, safe tasks, transition paths, ...
PhD Position - Precision Ag and AI in Tree Fruit Production ...
ashscareers.careerwebsite.com • 6/20/2026
May 19, 2026 — Precision tools powered by artificial intelligence (AI) are essential for adapting the tree fruit industry to a rapidly changing climate because ... Read more
Assistant Professor - AI for Agriculture and Natural Resources
umd.wd1.myworkdayjobs.com • 6/20/2026
The College of Agriculture and Natural Resources at the University of Maryland seeks candidates with expertise in utilizing AI and machine learning to improve ... Read more
Artificial Intelligence in Agriculture: Opportunities, Challenges ...
www.youtube.com • 6/20/2026
Artificial intelligence is rapidly transforming agriculture —from research and production to extension and supply chains.

High schools using simulators for livestock training
www.farmprogress.com • 11/19/2019
From proper ear tag attachment to artificial insemination, there are tools that add value to class time.
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
$86,350
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.
