# First-Line Supervisors of Farming, Fishing, and Forestry Workers

> Directly supervise and coordinate the activities of agricultural, forestry, aquacultural, and related workers.

- **SOC code:** 45-1011.00
- **Canonical URL:** https://singulariki.com/roles/role-45-1011-00
- **Also known as:** Farm Supervisor, Harvesting Supervisor, Hatchery Manager, Logging Supervisor, Animal Research Facility Supervisor, Cattle Manager, Fish Hatchery Manager, Logging Crew Foreman
- **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):
- Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters.
- Record the numbers and types of fish or shellfish reared, harvested, released, sold, and shipped.
- Monitor workers to ensure that safety regulations are followed, warning or disciplining those who violate safety regulations.
- Observe animals for signs of illness, injury, or unusual behavior, notifying veterinarians or managers as warranted.
- Observe fish and beds or ponds to detect diseases, monitor fish growth, determine quality of fish, or determine completeness of harvesting.
- Train workers in tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations.
- Treat animal illnesses or injuries, following experience or instructions of veterinarians.
- Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment.
- Train workers in techniques such as planting, harvesting, weeding, or insect identification and in the use of safety measures.
- Confer with managers to evaluate weather or soil conditions, to develop plans or procedures, or to discuss issues such as changes in fertilizers, herbicides, or cultivating techniques.
- Communicate with forestry personnel regarding forest harvesting or forest management plans, procedures, or schedules.
- Inspect crops, fields, or plant stock to determine conditions and need for cultivating, spraying, weeding, or harvesting.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Administration and Management _(knowledge)_
- Oral Comprehension _(ability)_
- Problem Sensitivity _(ability)_
- Critical Thinking _(essential_skill)_
- Coordination _(transferable_skill)_
- Oral Expression _(ability)_
- Production and Processing _(knowledge)_
- Speaking _(essential_skill)_
- Monitoring _(essential_skill)_
- Customer and Personal Service _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Time Management _(transferable_skill)_

**Skills in demand:**
- Critical Thinking _(Common Skill)_
- Time Management _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- English Language _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Instructing _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Active Listening _(Common Skill)_
- Learning Strategies _(Specialized Skill)_

**Tools & technology:**
- Atlassian Confluence _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- BCS Woodlands Software The Logger Tracker
- Cattlesoft CattleMax
- Database software
- Employee scheduling software
- Landmark Sales LOG-istics
- Lion Edge Technologies Ranch Manager

## AI exposure & outlook

- **AI task-overlap index:** 28th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 36th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 39th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 13th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 49th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 2.5% growth (About average); 8.5k annual openings; 65.4k → 67k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $59,330; 29,530 employed.

## 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/
- **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
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **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-45-1011-00_