Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Agri Sci Teachers, Postsec:

42.6%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient agricultural sciences teaching at the postsecondary level is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For agricultural sciences teachers, six of seven sources had data (Anthropic had none), and exposure signals were mixed: Microsoft rated AI exposure High while Will Robots Take My Job rated it Low, pulling confidence down to medium. A Low employer demand outlook from the BLS Opportunity Score weighed on the final score, landing this career at "Somewhat Resilient."

AI Resilience Report forAgricultural Sciences Teachers, Postsecondary

$86,350 median salary800 annual openingsSOC 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.

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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.

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Analysis of Current AI Resilience

Agri Sci Teachers, Postsec

Updated Quarterly

Analysis
Suggested Actions
State of Automation

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.

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AI Adoption

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.

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Will AI replace Agri Sci Teachers, Postsec?

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.

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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.

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.

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

96% ResilienceSupplemental

Perform administrative duties such as serving as department head.

2

95% ResilienceSupplemental

Participate in campus and community events.

3

94% ResilienceCore Task

Provide professional consulting services to government or industry.

4

92% ResilienceCore Task

Compile, administer, and grade examinations, or assign this work to others.

5

92% ResilienceCore Task

Participate in student recruitment, registration, and placement activities.

6

90% ResilienceCore Task

Supervise undergraduate or graduate teaching, internship, and research work.

7

90% ResilienceCore Task

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.

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