# Agricultural Sciences Teachers, Postsecondary

> 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.

- **SOC code:** 25-1041.00
- **Canonical URL:** https://singulariki.com/roles/role-25-1041-00
- **Also known as:** Agriculture Professor, Associate Professor, Instructor, Professor, Agriculture Instructor, Agronomy Professor, Animal Science Professor, Horticulture Instructor
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (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.
- Prepare and deliver lectures to undergraduate or graduate students on topics such as crop production, plant genetics, and soil chemistry.
- Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- 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.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Oral Expression _(ability)_
- Instructing _(transferable_skill)_
- Biology _(knowledge)_
- Education and Training _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Speaking _(essential_skill)_
- Learning Strategies _(essential_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_
- Speech Clarity _(ability)_
- Active Listening _(essential_skill)_
- Writing _(essential_skill)_

**Skills in demand:**
- Instructing _(Specialized Skill)_
- Biology _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Learning Strategies _(Specialized Skill)_
- Writing _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Active Learning _(Common Skill)_
- English Language _(Common Skill)_
- Speech Recognition _(Specialized Skill)_

**Tools & technology:**
- Epic Systems _(hot technology)_
- Google Docs _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Blackboard Learn
- Collaborative editing software
- Course management system software
- Data management software
- Database software

## AI exposure & outlook

- **AI task-overlap index:** 76th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 66th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 63rd percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 95th percentile (High) — source: microsoft_applicability.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.1% growth (About average); 0.8k annual openings; 10.7k → 11.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $86,350; 8,700 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 31% automation, 65% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Advise students on academic and vocational curricula and on career issues. _(23.7% of measured AI use; task iteration)_
- Conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media. _(13.9% of measured AI use; learning)_
- Provide professional consulting services to government or industry. _(12.8% of measured AI use; task iteration)_
- Compile, administer, and grade examinations, or assign this work to others. _(10.6% of measured AI use; directive)_
- Prepare course materials such as syllabi, homework assignments, and handouts. _(3.8% of measured AI use; directive)_
- Compile bibliographies of specialized materials for outside reading assignments. _(2.9% of measured AI use; directive)_
- Initiate, facilitate, and moderate classroom discussions. _(2.6% of measured AI use; learning)_
- Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction. _(2.2% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me advise students on academic and vocational curricula and on career issues.
- Help me conduct research in a particular field of knowledge and publish findings in professional journals, books, or electronic media.
- Help me provide professional consulting services to government or industry.
- Help me compile, administer, and grade examinations, or assign this work to others.
- Help me prepare course materials such as syllabi, homework assignments, and handouts.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-25-1041-00_