AI Career Risk For Agricultural Sciences Teachers (Postsecondary)

Will AI Replace Agricultural Sciences Teachers (Postsecondary) in 2026?

Also known as: Agronomy Professor, Horticulture Professor, Animal Sciences Professor, Agricultural Economics Professor.

Agricultural sciences postsecondary teachers teach agricultural science at universities under credentialed academic scope. AI absorbs routine prep; the durable work is senior teaching-and-research judgment, the field-and-student partnership, and the named-faculty accountability.

Exposure ScoreLow Exposure
26/ 100
Rank: 42 of 90 in EducationCategory avg: 28/100All roles avg: 39/100
This is the role's AI exposure (0 to 100, lower is safer), not your personal AI Career Index (0 to 1000). Get your own score.
Median pay: $98,700 / yr· BLS OEWS, May 2025 · occupational category
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At a Glance

Agricultural Sciences Teachers (Postsecondary) at a glance

A quick read on Agricultural Sciences Teachers (Postsecondary): the AI risk band, where the role sits inside Education, and the headline numbers worth knowing before reading more.

Exposure Score
26/100
Tasks AI can do
<20%
Median wage
$98,700
AI Adoption
< 0.1%
Category rank
42of 90
Role Overview

How AI is reshaping Agricultural Sciences Teachers (Postsecondary)

Agricultural Sciences Teachers (Postsecondary) teach agronomy, animal science, horticulture, agricultural economics, dairy science, fisheries management, and specialty agricultural disciplines at land-grant universities (top programs at UC Davis, Cornell, Texas A&M, Iowa State, Kansas State, Purdue), community colleges, and specialty agricultural programs. The credentialed faculty work (PhD agricultural sciences in specialty discipline) cannot be automated. AI augments routine grading; the in-classroom teaching, applied-research work with farmers, and credentialed-faculty work remain human. The migration path runs into tenured professor, department chair, dean of agriculture, or specialty research pathways (precision agriculture, animal science, agricultural economics).

The work depends on accountability, licensure, complex judgment, or being physically present in ways AI tools cannot match. AI is absorbing the layers around the role, the coordination, the paperwork, the reporting, and that tends to make the role more valuable, not less.

The reading below covers the specific AI exposure rating for Agricultural Sciences Teachers (Postsecondary), the tasks AI can already do today, the authority band the role typically operates at, and a six-month plan tied to where the role actually sits. Same framework used for every role in the index.

Exposure Profile

AI exposure profile for Agricultural Sciences Teachers (Postsecondary)

How Agricultural Sciences Teachers (Postsecondary) stack up against other roles. How much of the work AI can speed up, how much stays with people, and where the role sits compared to the Education average.

Exposure Score
26OUT OF 100
Ranks 42 of 90 in the Education category, above the category average
How this role compares
Agricultural Sciences Teachers (Postsecondary)26
Category average28
All roles average39
Where AI reaches this role's tasks
AI can do directly33%(halves the time)
AI with tools43%(with software built on AI)
Stays with people24%(no real speed-up)

Share of this occupation's O*NET tasks where AI can cut the time by at least half. Source: Eloundou et al., "GPTs are GPTs", Science (2024).

Exposure trajectory
Rising

Rising: research rates about 54% of this role's work as open to AI speed-up, so pressure grows as tools improve.

Direction from research on AI (Science, 2024) and robots (Anthropic, 2026); 0% of this role's work already shows real AI use (Anthropic Economic Index). The line's shape is illustrative, not a measured year-by-year series.

202420252026 (now)2027
Career Simulator

What moves the score for Agricultural Sciences Teachers (Postsecondary)?

This starts from a typical profile for a low exposure role. Drag any of the five dimensions to see how a structural shift would move the AI Career Index, using the exact weighting behind every reading on the site.

The AI Career Index (0 to 1000) measures your personal structural positioning. It is a different measure from this role's AI exposure score (0 to 100) shown above, which rates the role itself.

Career Simulator

Model the impact of structural shifts

A typical starting profile for agricultural sciences teachers (postsecondary). Move any dimension to model the impact on the AI Career Index.

AI Career Index
714/1000
Tier
AI Competitive Professional
Authority band: Strategic
01000
Strategic Clarity· 25%72Advanced
AI Adaptability· 20%70Advanced
Income Leverage· 20%68Transitional
Skill Resilience· 20%74Advanced
Market Alignment· 15%73Advanced
This is a model. Run the real reading to simulate on your own scores.Run my real reading

This simulator applies the same dimension weighting used in your structural reading to estimate directional movement. It does not alter any stored assessment. Actual outcomes depend on implementation quality, sequencing, and market conditions.

Open the full Career Simulator to model all five dimensions from scratch, or see how the score is built in the structural framework.

Key Takeaways

Quick read on Agricultural Sciences Teachers (Postsecondary)

The short version on Agricultural Sciences Teachers (Postsecondary): AI exposure, how much of the role AI can already do, what stays valuable, and the move worth making in the next six months. A quick summary before the deeper read.

Real-world signal

How AI is being used by Agricultural Sciences Teachers (Postsecondary) today

Two figures for Agricultural Sciences Teachers (Postsecondary) that sit outside our scoring framework. The adoption figure shows how much of the day-to-day work done by Agricultural Sciences Teachers (Postsecondary) is already being absorbed by AI tools in the wild. The economic impact figure gives the macro stakes attached to the role at a national level.

AI adoption among Agricultural Sciences Teachers (Postsecondary)
< 0.1%
(None observed)

Share of the work done by Agricultural Sciences Teachers (Postsecondary) already showing real-world AI usage today, sourced from the Anthropic Economic Index (MIT licence). A 0% reading means the dataset observed no measurable usage for this occupation in its sample, not that AI cannot apply to the role.

Economic impact
$880.4M

Total US economic value generated by Agricultural Sciences Teachers (Postsecondary): median annual wage multiplied by total US employment, both from BLS OEWS.

24-Month Trajectory

Where Agricultural Sciences Teachers (Postsecondary) are heading by 2028

Where Agricultural Sciences Teachers (Postsecondary) sit today and where the role is heading over the next two years. We don't predict an exact future score. The direction is what the data already shows. If you're in this role or considering it, this is the direction worth planning around.

Today
26/100
Low Exposure
→ ↑
Appreciating
In 24 months · By 2028
Holds and gains value
AI takes care of routine work around this role. The core skills stay in demand and tend to get more valuable, not less.
Category outlook

Over the next two years, it depends whether the role is mostly delivering content or mostly making teaching decisions. Agricultural Sciences Teachers (Postsecondary) whose work is dominated by content delivery face moderate pressure. Agricultural Sciences Teachers (Postsecondary) who own pedagogical authority, complex classroom work, or learner mentoring stay in demand. The path forward: move from content provider to teaching architect, the person who decides how learners actually learn.

What AI Can Do

What AI can and can't do for Agricultural Sciences Teachers (Postsecondary)

The work AI can take over today versus the work it cannot. Where Agricultural Sciences Teachers (Postsecondary) spend their time on this split largely decides whether the role grows or shrinks over the next two years.

Deprioritise

Stop investing in these

  • Standard explanation production for common topics
  • Lesson plan and curriculum content drafting
  • Personalised practice from existing question banks
  • Routine grading of objective assessments
Stays human

Structurally insulated

  • Strategic curriculum design across programmes
  • Original research and contribution to the field
  • Pastoral and mentoring relationship with learners
  • Trust-bearing student and parent relationships
AI Tools

AI tools currently affecting Agricultural Sciences Teachers (Postsecondary)

The tools actually reshaping Agricultural Sciences Teachers (Postsecondary) work in 2026. Each one takes over a slice of the routine work; staying valuable means owning the work that sits above them.

Khanmigo
Khan Academy's AI tutor for students and teachers.
MagicSchool
Lesson planning, rubric generation, and student feedback.
ChatGPT
Curriculum drafting, differentiation, and writing feedback.
Quizlet AI
Practice generation and personalised study plans.
Diffit
Differentiation tool that adapts texts to grade level and language.
Brisk Teaching
Chrome extension for teacher workflows and student feedback.

Tool list is editorial, not exhaustive. Listing does not imply endorsement. Updated Methodology v3 · 2026.

Structural Reading

Where Agricultural Sciences Teachers (Postsecondary) sit structurally

Where AI is hitting the work, where it cannot reach, where Agricultural Sciences Teachers (Postsecondary) are heading over the next two years, and what stays durable. The cards below address each question; the per-role reading underneath them grounds the answers in this role's actual tasks and knowledge layers.

Will AI Replace

Will AI Replace Agricultural Sciences Teachers (Postsecondary)?

AI will not replace Agricultural Sciences Teachers (Postsecondary) where the work centres on pedagogical authority, complex classroom or learner dynamics, or the pastoral relationship with students. AI is taking over significant chunks of the routine work: content production, basic assessment, standard explanations, and templated practice generation. The career risk is concentrated in Agricultural Sciences Teachers (Postsecondary) whose work was primarily content delivery and standard assessment.

Automation Risk

Automation Risk for Agricultural Sciences Teachers (Postsecondary)

Agricultural Sciences Teachers (Postsecondary) face moderate automation risk concentrated in the content production, routine assessment, and standard tutoring layers of the role. AI-powered learning platforms are absorbing this work at speed. The risk is much lower for Agricultural Sciences Teachers (Postsecondary) who own complex classroom dynamics, pedagogical strategy, or trust-bearing relationships with students.

Career Outlook

AI Career Outlook for Agricultural Sciences Teachers (Postsecondary)

Over the next two years, it depends whether the role is mostly delivering content or mostly making teaching decisions. Agricultural Sciences Teachers (Postsecondary) whose work is dominated by content delivery face moderate pressure. Agricultural Sciences Teachers (Postsecondary) who own pedagogical authority, complex classroom work, or learner mentoring stay in demand. The path forward: move from content provider to teaching architect, the person who decides how learners actually learn.

Stay Relevant

How Agricultural Sciences Teachers (Postsecondary) Stay Relevant

Agricultural Sciences Teachers (Postsecondary) stay relevant by deepening the pedagogical and relational layers of the role. Use AI tooling as a content production multiplier so you spend more time on the high-judgment teaching work AI cannot do. Build pedagogical authority, develop expertise in complex learning contexts, and own the trust-bearing relationships with learners.

Inside the Work

A typical week as an Agricultural Sciences Teacher (Postsecondary)

What the work looks like in practice: meetings, deliverables, tools, and the decisions that get escalated. Useful context for anyone weighing this role against the AI-exposure reading above.

Week-in-the-life
Authored by editorial · Agricultural Sciences Teacher (Postsecondary)
MonTueWedThuFri

A typical week for an agricultural-sciences professor runs at land-grant universities, community colleges, or specialty agricultural programs on academic-calendar schedules with significant applied-research time and farmer-relationship work. Most days involve in-classroom teaching (intro and advanced agricultural courses), applied-research projects (often in partnership with USDA, farmers, or industry), graduate-student supervision, department-service work, and the credentialed-faculty work (PhD agricultural sciences in specialty discipline).

Compression and Durability

Where Agricultural Sciences Teachers (Postsecondary) compress, and where they hold

A role-specific reading grounded in Agricultural Sciences Teachers (Postsecondary)'s actual O*NET tasks and knowledge layers. The paragraph below is the structural reading; the two columns name the specific layers where compression is hitting and where the work holds.

Structural reading

Agricultural Sciences Teachers (Postsecondary) are insulated by structure rather than by skill. biology and the accountability that surrounds it cannot be shifted to AI tooling without breaking the chain. AI accelerates keep abreast of developments in the field by reading current literature and the surrounding mechanics, but the human bearing the decision still has to be present.

Where compression is hitting
  • Keep abreast of developments in the field by reading current literature is the production-layer task AI tools speed up; the durability of the role isn't anchored here, so the speedup is a net gain.
  • Advise students on academic and vocational curricula and on career issues runs through AI assistance now, which compresses the time cost of the task without compressing the role itself.
  • Supervise undergraduate or graduate teaching is augmented rather than absorbed by AI; the work runs faster but the human still has to be in the room.
Where the role holds
  • Biology compounds with experience. AI-assisted agricultural sciences teachers (postsecondary) working at this layer get faster without the role being absorbed.
  • Education and Training is the part of the work that signals authority. Visible, hard to template, and increasingly the only durable position.
  • English Language is the layer where accountability lands. AI augments around it but cannot bear the decision.
Salary & Occupation Data

Salary and occupational data for Agricultural Sciences Teachers (Postsecondary)

Median annual wage, common task statements, and alternate titles drawn from O*NET 30.2 (USDOL/ETA, CC BY 4.0) · Wages: BLS OEWS May 2025. BLS reports median wages at the occupational category level, so agricultural sciences teachers (postsecondary) and related roles that map to the same category share the same source wage. The descriptive occupational data below sits alongside the structural reading; the AI exposure score above is independent of it.

Occupation Snapshot · Agricultural Sciences Teachers (Postsecondary)
O*NET-SOC 25-1041.00
Median annual wage
$98,700
BLS OEWS · May 2025
Junior
$66,410
Senior
$126,850
Common task statements (O*NET)
  • 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.
Knowledge domains (O*NET importance, 1–5)
  • Biology4.3
  • Education and Training4.1
  • English Language4.0
  • Administration and Management3.9
  • Customer and Personal Service3.6
Work context (importance, 1–5)
  • E-Mail5.0
  • Determine Tasks, Priorities and Goals5.0
  • Face-to-Face Discussions with Individuals and Within Teams4.9
  • Indoors, Environmentally Controlled4.7
  • Freedom to Make Decisions4.7
Preparation level
Job Zone 5· Extensive preparation
Tools and equipment (O*NET)
Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersComputer projectorsConference telephonesDesktop computers
Source: O*NET 30.2 (USDOL/ETA, CC BY 4.0) · Wages: BLS OEWS May 2025 · Descriptive occupational data; the AI exposure reading is independent.
Reviewed by AI Career Index Research · Methodology v3 · 2026 ·Read the methodology →
Common Feeders

Roles commonly transitioning into Agricultural Sciences Teachers (Postsecondary).

These education roles are under more pressure than Agricultural Sciences Teachers (Postsecondary), and people often path out of them into a seat like yours. If you work in one of these today, Agricultural Sciences Teachers (Postsecondary) is the kind of role most worth moving toward.

70/100 · High risk
Adjunct Professors
Course content, grading, and routine office hours are increasingly AI-augmented or AI-led.
Read AI risk for Adjunct Professors
67/100 · High risk
Historians
Source aggregation, archive search, and standard summaries are well-handled by AI now.
Read AI risk for Historians
74/100 · High risk
Library Assistants
Cataloguing, routine reference questions, and circulation work are absorbed by AI library tooling.
Read AI risk for Library Assistants
6-Month Action Plan

Six concrete moves for Agricultural Sciences Teachers (Postsecondary) over the next six months

Agricultural Sciences Teachers (Postsecondary) are structurally insulated within education, but the coordination layer around the role is being absorbed by AI tooling. The six moves below help you reclaim hours from that layer and reinvest them in the licensed and judgment-heavy work that compounds. Each move is one month, with a week-by-week sprint inside. The downloadable PDF adds end-of-month reflection prompts in a print-friendly format.

Go deeper

Take the plan with you

The downloadable PDF gives you the full plan in a print-friendly format you can keep at your desk and check against month by month. Take the AI Career Assessment to get a plan tailored to your specific situation.

FAQ

Common questions about Agricultural Sciences Teachers (Postsecondary) and AI

The reading above answers the headline question. These FAQs cover the follow-up questions Agricultural Sciences Teachers (Postsecondary) typically ask: wage benchmarks, the tasks most at risk, the skills that stay valuable, and the six-month plan for this role.

Further Reading

Articles relevant to Agricultural Sciences Teachers (Postsecondary)

Hand-picked AI Career Index articles on the shifts affecting Agricultural Sciences Teachers (Postsecondary) and nearby roles. Useful next reads for the broader context behind the reading on this page.

Testimonials

What Professionals Are Saying

All testimonials →

"I work in a field that AI is squeezing hard. The report did not pretend otherwise. What it did was show me which part of my role is safe and how to move more of my work into it over the next six months. That honesty is what I needed."

Hannah Kowalski
Creative Director · Warsaw, Poland

"I had my whole team of twelve take it. The group results flagged two roles that were quietly falling behind and at risk of losing ground to competitors. We fixed both before it showed up in their numbers. At forty-nine dollars a person, it is the best-value spend I have made all year."

Michael Anderson
Managing Partner · Chicago, USA

"The report talks about the middle layer of jobs thinning out, and I realised that was exactly where I sat. The way out that it suggested felt obvious once I saw it, but I had been blind to it. I acted on it the next quarter."

Elena Ricci
Senior Account Director · Milan, Italy

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