Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →First-Line Supervisors of Farming, Fishing, and Forestry Workers
Occupation · SOC 45-1011.00
Directly supervise and coordinate the activities of agricultural, forestry, aquacultural, and related workers.
Also called: Farm Supervisor · Harvesting Supervisor · Hatchery Manager · Logging Supervisor · Animal Research Facility Supervisor · Cattle Manager · Fish Hatchery Manager · Logging Crew Foreman · Pest Management Supervisor · Wildlife Manager · Agricultural and Forestry Supervisor · Agriculture Manager
Job family: Farming, Fishing, and Forestry Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-45-1011-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+2.5% by 2034)
- 8,500 openings/yr
- Low AI exposure
- Median pay $59,330/yr
- Work is mostly on-site (not teleworkable)
28th-percentile task overlap — yet about 8,500 openings a year (+2.5% projected, BLS) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Moderate | 36th | -0.5 | |
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 39th | 0.4 | |
| AI assistant applicability (Microsoft) Low | 13th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.3), and including AI-powered software (γ 0.4). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.6 · 49th percentile among occupations · Moderate
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +2.5% by 2034 |
| Projected annual openings | 8,500 |
| Employment 2024 → 2034 | 65,400 → 67,000 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 13 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
First-Line Supervisors of Farming, Fishing, and Forestry Workers sits at the 26th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
18% mean task exposure (2025)
26th percentile of 427 placed occupations
−3 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Aquaculture Workers · 6221 | 22% | Not exposed |
| Apiarists and Sericulturists · 6123 | 22% | Not exposed |
| Animal Producers Not Elsewhere Classified · 6129 | 20% | Not exposed |
| Mixed Crop and Animal Producers · 6130 | 19% | Not exposed |
| Poultry Producers · 6122 | 19% | Not exposed |
| Field Crop and Vegetable Growers · 6111 | 18% | Not exposed |
| Deep-sea Fishery Workers · 6223 | 18% | Not exposed |
| Inland and Coastal Waters Fishery Workers · 6222 | 17% | Not exposed |
| Mixed Crop Growers · 6114 | 17% | Not exposed |
| Tree and Shrub Crop Growers · 6112 | 17% | Not exposed |
| Livestock and Dairy Producers · 6121 | 17% | Not exposed |
| Forestry and Related Workers · 6210 | 12% | Not exposed |
| Hunters and Trappers · 6224 | 9% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Assign tasks such as feeding and treatment of animals, and cleaning and maintenance of animal quarters. Core · importance 4.5
- Record the numbers and types of fish or shellfish reared, harvested, released, sold, and shipped. Core · importance 4.5
- Monitor workers to ensure that safety regulations are followed, warning or disciplining those who violate safety regulations. Core · importance 4.5
- Observe animals for signs of illness, injury, or unusual behavior, notifying veterinarians or managers as warranted. Core · importance 4.4
- Observe fish and beds or ponds to detect diseases, monitor fish growth, determine quality of fish, or determine completeness of harvesting. Core · importance 4.3
- Train workers in tree felling or bucking, operation of tractors or loading machines, yarding or loading techniques, or safety regulations. Core · importance 4.3
- Treat animal illnesses or injuries, following experience or instructions of veterinarians. Core · importance 4.2
- Train workers in spawning, rearing, cultivating, and harvesting methods, and in the use of equipment. Core · importance 4.2
- Train workers in techniques such as planting, harvesting, weeding, or insect identification and in the use of safety measures. Core · importance 4.1
- 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. Core · importance 4.0
- Communicate with forestry personnel regarding forest harvesting or forest management plans, procedures, or schedules. Core · importance 4.0
- Inspect crops, fields, or plant stock to determine conditions and need for cultivating, spraying, weeding, or harvesting. Core · importance 4.0
- Coordinate dismantling, moving, and setting up equipment at new work sites. Core · importance 4.0
- Coordinate the selection and movement of logs from storage areas, according to transportation schedules or production requirements. Core · importance 4.0
- Schedule work crews, equipment, or transportation for several different work locations. Core · importance 3.9
- Drive or operate farm machinery, such as trucks, tractors, or self-propelled harvesters, to transport workers or supplies or to cultivate or harvest fields. Core · importance 3.9
- Perform both supervisory and management functions, such as accounting, marketing, and personnel work. Core · importance 3.8
- Transport or arrange for transport of animals, equipment, food, animal feed, and other supplies to and from work sites. Core · importance 3.8
- Inspect buildings, fences, fields or ranges, supplies, and equipment to determine work to be performed. Core · importance 3.7
- Read inventory records, customer orders, or shipping schedules to determine required activities. Core · importance 3.6
- Inspect facilities to determine maintenance needs. Core · importance 3.6
- Confer with managers to determine production requirements, conditions of equipment and supplies, and work schedules. Core · importance 3.6
- Prepare and maintain time or payroll reports, as well as details of personnel actions, such as performance evaluations, hires, promotions, or disciplinary actions. Core · importance 3.5
- Requisition or purchase supplies, such as insecticides, machine parts or lubricants, or tools. Core · importance 3.5
- Monitor or oversee construction projects, such as horticultural buildings or irrigation systems. Core · importance 3.4
- Issue equipment, such as farm implements, machinery, ladders, or containers to workers, and collect equipment when work is complete. Core · importance 3.4
- Calculate or monitor budgets for maintenance or development of collections, grounds, or infrastructure. Core · importance 3.3
- Direct or assist with the adjustment or repair of equipment or machinery.
- Monitor operations to identify and solve problems, improve work methods, and ensure compliance with safety, company, and government regulations.
- Plan work schedules according to personnel and equipment availability.
Work activities
- Assign duties or work schedules to employees.
- Record agricultural or forestry inventory data.
- Inspect products or operations to ensure that standards are met.
- Monitor animal behavior or condition.
- Train workers in farming, forestry, or hunting techniques.
- Treat animal injuries or illnesses.
- Confer with managers to make operational decisions.
- Communicate with other workers to coordinate activities.
- Evaluate quality of plants or crops.
- Coordinate forestry or agricultural activities.
- Schedule agricultural or forestry work.
- Operate farming equipment.
- Direct activities of agricultural, forestry, or fishery employees.
- Transport animals, crops, or equipment.
- Inspect equipment or facilities to determine condition or maintenance needs.
- Monitor organizational processes.
- Maintain personnel records.
- Maintain inventories of materials, equipment, or products.
- Monitor financial activities.
- Maintain forestry, hunting, or agricultural equipment.
- Direct technical activities or operations.
- Monitor operational quality or safety.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Administration and Management | 3.9 | |
| Production and Processing | 3.7 | |
| Customer and Personal Service | 3.5 | |
| English Language | 3.4 | |
| Mechanical | 3.4 | |
| Education and Training | 3.3 | |
| Biology | 3.2 | |
| Food Production | 3.0 | |
| Mathematics | 3.0 |
Abilities
| Oral Comprehension | 3.9 | |
| Problem Sensitivity | 3.9 | |
| Oral Expression | 3.8 | |
| Near Vision | 3.5 | |
| Speech Recognition | 3.5 | |
| Speech Clarity | 3.5 | |
| Deductive Reasoning | 3.4 | |
| Inductive Reasoning | 3.4 | |
| Information Ordering | 3.4 | |
| Category Flexibility | 3.4 | |
| Far Vision | 3.4 | |
| Written Comprehension | 3.1 | |
| Written Expression | 3.1 | |
| Arm-Hand Steadiness | 3.1 |
Essential skills
| Critical Thinking | 3.8 | |
| Speaking | 3.6 | |
| Monitoring | 3.6 | |
| Reading Comprehension | 3.5 | |
| Active Listening | 3.4 | |
| Learning Strategies | 3.3 | |
| Writing | 3.1 | |
| Active Learning | 3.0 |
Transferable skills
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 41.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 3 — Job Zone Three: Medium Preparation Needed
- Education
- Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree.
- Typical entry-level education
- High school diploma or equivalent · BLS, the typical path — not a requirement
- Related experience
- Previous work-related skill, knowledge, or experience is required for these occupations. For example, an electrician must have completed three or four years of apprenticeship or several years of vocational training, and often must have passed a licensing exam, in order to perform the job.
- Preparation level
- SVP (6.0 to < 7.0) — total schooling plus on-the-job experience.
What to study: Agriculture, Agriculture Operations, and Related Sciences , Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 32.9% | |
| High School Diploma | 31.5% | |
| Post-Secondary Certificate | 13.7% | |
| Less than a High School Diploma | 9.7% | |
| Some College Courses | 6.1% | |
| Associate's Degree (or other 2-year degree) | 4.1% | |
| Master's Degree | 2.0% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Agriculture | 6.8 | |
| Nature/Outdoors | 5.8 | |
| Management/Administration | 5.5 | |
| Physical/Manual Labor | 4.0 | |
| Transportation/Machine Operation | 3.8 | |
| Human Resources | 3.1 | |
| Animal Service | 2.9 | |
| Life Science | 2.7 | |
| Teaching/Education | 2.5 | |
| Accounting | 2.4 |
Career interests (Holland / RIASEC)
| Enterprising | 6.0 | |
| Realistic | 5.5 | |
| Conventional | 4.7 | |
| Social | 2.9 |
Work styles
| Leadership Orientation | 3.0 | |
| Dependability | 3.0 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $39,610 |
| 25th percentile | $47,660 |
| Median (50th) | $59,330 |
| 75th percentile | $76,640 |
| 90th percentile | $90,840 |
| People employed | 29,530 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Agriculture, Forestry, Fishing and Hunting · Sector | 15,320 | $57,740 |
| Wholesale Trade · Sector | 3,370 | $60,010 |
| Retail Trade · Sector | 1,970 | $50,780 |
| Manufacturing · Sector | 1,910 | $68,030 |
| Educational Services · Sector | 900 | $53,610 |
| Professional, Scientific, and Technical Services · Sector | 810 | $67,870 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 800 | $68,510 |
| Arts, Entertainment, and Recreation · Sector | 730 | $57,920 |
| Landscaping Services · National industry | 510 | $76,350 |
| Other Services (except Public Administration) · Sector | 490 | $61,940 |
| Management of Companies and Enterprises · Sector | 330 | $64,380 |
| Accommodation and Food Services · Sector | 230 | $54,990 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Agriculture, Forestry, Fishing and Hunting · Sector | 188.94× | 15,320 |
| Wholesale Trade · Sector | 2.92× | 3,370 |
| Landscaping Services · National industry | 2.91× | 510 |
| Arts, Entertainment, and Recreation · Sector | 1.44× | 730 |
| Manufacturing · Sector | 0.78× | 1,910 |
| Retail Trade · Sector | 0.66× | 1,970 |
| Management of Companies and Enterprises · Sector | 0.61× | 330 |
| Other Services (except Public Administration) · Sector | 0.58× | 490 |
Related occupations
Part of the Agriculture and Energy & Natural Resources career clusters.
- First-Line Supervisors of Production and Operating Workers · 51-1011.00 Compare →
- First-Line Supervisors of Mechanics, Installers, and Repairers · 49-1011.00 Compare →
- First-Line Supervisors of Construction Trades and Extraction Workers · 47-1011.00 Compare →
- First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers · 37-1012.00 Compare →
- First-Line Supervisors of Material-Moving Machine and Vehicle Operators · 53-1043.00 Compare →
- First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand · 53-1042.00 Compare →
- First-Line Supervisors of Entertainment and Recreation Workers, Except Gambling Services · 39-1014.00 Compare →
- First-Line Supervisors of Food Preparation and Serving Workers · 35-1012.00 Compare →
- First-Line Supervisors of Housekeeping and Janitorial Workers · 37-1011.00 Compare →
- First-Line Supervisors of Passenger Attendants · 53-1044.00 Compare →
- General and Operations Managers · 11-1021.00 Compare →
- First-Line Supervisors of Office and Administrative Support Workers · 43-1011.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for First-Line Supervisors of Farming, Fishing, and Forestry Workers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
- First-Line Supervisors of Production and Operating Workers Compare →
- First-Line Supervisors of Mechanics, Installers, and Repairers Compare →
- First-Line Supervisors of Construction Trades and Extraction Workers Compare →
- First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers Compare →
- First-Line Supervisors of Material-Moving Machine and Vehicle Operators Compare →
Paths in
How people typically prepare for this work.
- High school diploma or equivalent · typical entry level
- Job zone 3 — Job Zone Three: Medium Preparation Needed · preparation tier
- Agriculture, Agriculture Operations, and Related Sciences · field of study
- Natural Resources and Conservation · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 26th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
First-Line Supervisors of Farming, Fishing, and Forestry Workers show 28th-percentile AI task overlap — and about 8,500 annual U.S. openings
- First-Line Supervisors of Farming, Fishing, and Forestry Workers rank in the 28th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 8,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+2.5%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $59,330, across about 29,530 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
First-Line Supervisors of Farming, Fishing, and Forestry Workers show 28th-percentile AI task overlap — and about 8,500 annual U.S. openings • First-Line Supervisors of Farming, Fishing, and Forestry Workers rank in the 28th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 8,500 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+2.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $59,330, across about 29,530 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "First-Line Supervisors of Farming, Fishing, and Forestry Workers". https://singulariki.com/roles/role-45-1011-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "First-Line Supervisors of Farming, Fishing, and Forestry Workers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-45-1011-00
APA
Singulariki. (2026). First-Line Supervisors of Farming, Fishing, and Forestry Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-45-1011-00
BibTeX
@misc{singulariki-role-45-1011-00,
title = {First-Line Supervisors of Farming, Fishing, and Forestry Workers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-45-1011-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.