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Farmers, Ranchers, and Other Agricultural Managers

Occupation · SOC 11-9013.00

Plan, direct, or coordinate the management or operation of farms, ranches, greenhouses, aquacultural operations, nurseries, timber tracts, or other agricultural establishments. May hire, train, and supervise farm workers or contract for services to carry out the day-to-day activities of the managed operation. May engage in or supervise planting, cultivating, harvesting, and financial and marketing activities.

Also called: Aquaculture Director · Farm Manager · Greenhouse Manager · Ranch Manager · Farm Operations Technical Director · Fish Hatchery Manager · Harvesting Manager · Hatchery Manager · Hatchery Supervisor · Nursery Manager · Accredited Farm Manager (AFM) · Activation Manager

Job family: Management Occupations

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Download .md

A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-11-9013-00/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.

38th-percentile task overlap — yet about 85,500 openings a year (-1.3% 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 45th -0.1
LLM task exposure, γ (OpenAI / Eloundou) Moderate 55th 0.7
AI assistant applicability (Microsoft) Low 21st 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.4), and including AI-powered software (γ 0.7). 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 0.0 · 23rd percentile among occupations · Low

How AI is actually used in this job

Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.

Prepare reports required by state and federal laws. 0.3%
Provide information to customers on the care of trees, shrubs, flowers, plants, and lawns. 0.3%
Determine plant growing conditions, such as greenhouses, hydroponics, or natural settings, and set planting and care schedules. 0.2%

Job outlook

Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.

Outlook Declining · -1.3% by 2034
Projected annual openings 85,500
Employment 2024 → 2034 836,100 → 825,000

“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 2 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.

24% mean task exposure (2025)
44th percentile of 427 placed occupations
−6 pts shift 2023 → 2025
International occupation (ISCO-08) Task exposure (2025) Most tasks fall in
Agricultural and Forestry Production Managers · 1311 27% Minimal
Aquaculture and Fisheries Production Managers · 1312 22% 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.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Administration and Management 4.1
Production and Processing 3.9
Biology 3.8
Mathematics 3.6
Personnel and Human Resources 3.4
English Language 3.4
Food Production 3.4
Economics and Accounting 3.3
Sales and Marketing 3.3
Mechanical 3.3

Essential skills

Active Listening 3.9
Critical Thinking 3.9
Reading Comprehension 3.8
Speaking 3.6
Active Learning 3.4
Monitoring 3.4
Writing 3.3

Abilities

Oral Comprehension 3.9
Oral Expression 3.9
Problem Sensitivity 3.9
Deductive Reasoning 3.9
Inductive Reasoning 3.9
Written Comprehension 3.8
Category Flexibility 3.8
Speech Clarity 3.8
Written Expression 3.6
Information Ordering 3.6
Speech Recognition 3.6
Fluency of Ideas 3.4
Perceptual Speed 3.4
Near Vision 3.4
Far Vision 3.4
Originality 3.3
Flexibility of Closure 3.3

Transferable skills

Complex Problem Solving 3.6
Management of Personnel Resources 3.6
Coordination 3.5
Judgment and Decision Making 3.5
Social Perceptiveness 3.4
Time Management 3.4

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 45.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Adobe Photoshop Graphics or photo imaging software Hot technology
Atlassian Confluence Cloud-based data access and sharing software Hot technology
Facebook Web page creation and editing software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft Outlook Electronic mail software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Visio Process mapping and design software Hot technology
Microsoft Word Word processing software Hot technology
SAP software Enterprise resource planning ERP software Hot technology
Accutech Systems Corporation AccuFarm-MGR Enterprise resource planning ERP software
Advanced Veterinary Services Ranch Vision Enterprise resource planning ERP software
Ag Connections Land.db Data base user interface and query software
Ag Leader Technology SMS Advanced Data base user interface and query software
AGCO Advanced Technology Solutions Fieldstar Industrial control software
AgData Blue Skies Accounting Accounting software
Agevo Farm Manager Enterprise resource planning ERP software
AgriSoft/CMC AgriSoft/ERP Enterprise resource planning ERP software
AgTerra Technologies AgTrac Data base user interface and query software
Alua Software Paddock Pro Data base user interface and query software
AquaSoft Farm Manager Project management software
Argos Software ABECAS Insight Enterprise resource planning ERP software
Brihzon Solutions SMART Dairy Resource Planning Enterprise resource planning ERP software
Cattlesoft CattleMax Data base user interface and query software
CattleWorks Enterprise resource planning ERP software
CDA International Manifold System Map creation software
Countryside Data Ag Payroll Time accounting software
Custom Software Group CSG AgroSys Enterprise resource planning ERP software
Datatech The Farmer's Office Accounting software
Delta Data Systems AGIS Geographic information system
DIVA-GIS Geographic information system
Email software Electronic mail software
ESRI ArcPad Geographic information system
EZ-Ranch Enterprise resource planning ERP software
Farm Business Software Systems Smart Feeder Data base user interface and query software
Farm Files Crops Data base user interface and query software
Farm Files Livestock Data base user interface and query software
Fish stocking databases Data base user interface and query software
Geographic information system GIS systems Geographic information system

Showing the top 40 of 76.

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.

Face-to-Face Discussions with Individuals and Within Teams 4.8
Outdoors, Exposed to All Weather Conditions 4.8
Freedom to Make Decisions 4.5
Determine Tasks, Priorities and Goals 4.5
Work With or Contribute to a Work Group or Team 4.5
Contact With Others 4.3
Health and Safety of Other Workers 4.2
Indoors, Not Environmentally Controlled 4.2
Telephone Conversations 4.1
Impact of Decisions on Co-workers or Company Results 4.1
Coordinate or Lead Others in Accomplishing Work Activities 4.0
Outdoors, Under Cover 4.0
Work Outcomes and Results of Other Workers 4.0
In an Open Vehicle or Operating Equipment 3.9
In an Enclosed Vehicle or Operate Enclosed Equipment 3.9
Exposed to Very Hot or Cold Temperatures 3.8
Frequency of Decision Making 3.5
Indoors, Environmentally Controlled 3.5
Importance of Being Exact or Accurate 3.5
Time Pressure 3.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.4
Spend Time Standing 3.4
E-Mail 3.4
Exposed to Minor Burns, Cuts, Bites, or Stings 3.3
Deal With External Customers or the Public in General 3.3
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.3
Physical Proximity 3.2
Exposed to Contaminants 3.2
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.1
Level of Competition 3.1
Importance of Repeating Same Tasks 3.1
Consequence of Error 3.0
Spend Time Walking or Running 2.9
Written Letters and Memos 2.8
Exposed to Hazardous Conditions 2.7
Exposed to Hazardous Equipment 2.7
Conflict Situations 2.6
Spend Time Making Repetitive Motions 2.6
Spend Time Bending or Twisting Your Body 2.4
Exposed to Extremely Bright or Inadequate Lighting Conditions 2.4

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
High school diploma or equivalent · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Agriculture, Agriculture Operations, and Related Sciences , Multi/Interdisciplinary Studies . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Interest areas

Agriculture 7.0
Management/Administration 6.1
Nature/Outdoors 5.5
Business Initiatives 4.0
Physical/Manual Labor 3.8
Life Science 3.3
Transportation/Machine Operation 3.3
Animal Service 3.2
Accounting 3.1
Sales 2.8

Career interests (Holland / RIASEC)

Enterprising 5.5
Realistic 5.2
Conventional 4.5

Work styles

Dependability 5.0
Attention to Detail 4.0
Achievement Orientation 3.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$52k10th$68k25th$88kMedian$115k75th$157k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
836k2024825k2034 (proj.)-1.3% · Declining
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $51,700
25th percentile $67,970
Median (50th) $87,980
75th percentile $115,200
90th percentile $156,530
People employed 5,910

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 2,560 $94,170
Wholesale Trade · Sector 520 $100,480
Manufacturing · Sector 420 $97,970
Administrative and Support and Waste Management and Remediation Services · Sector 360
Management of Companies and Enterprises · Sector 350 $137,910
Educational Services · Sector 330 $76,010
Professional, Scientific, and Technical Services · Sector 240 $85,600
Retail Trade · Sector 170 $80,970
Other Services (except Public Administration) · Sector 160 $77,540
Real Estate and Rental and Leasing · Sector 100 $72,680
Arts, Entertainment, and Recreation · Sector 90 $84,190
Health Care and Social Assistance · Sector 60 $62,600

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 157.75× 2,560
Management of Companies and Enterprises · Sector 3.25× 350
Wholesale Trade · Sector 2.25× 520
Real Estate and Rental and Leasing · Sector 1.1× 100
Administrative and Support and Waste Management and Remediation Services · Sector 1.04× 360
Other Services (except Public Administration) · Sector 0.94× 160
Manufacturing · Sector 0.86× 420
Educational Services · Sector 0.63× 330

Part of the Agriculture career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Farmers, Ranchers, and Other Agricultural Managers sits at the 38th percentile of AI task-overlap and the 76th percentile of median pay, placed here against 11 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Farmers, Ranchers, and Other Agricultural Managers Farmworkers and Laborers, Crop, Nursery, and Greenhouse First-Line Supervisors of Farming, Fishing, and Forestry Workers Agricultural Technicians Biofuels Production Managers Range Managers Food Scientists and Technologists AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Farmers, Ranchers, and Other Agricultural Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Farmers, Ranchers, and Other Agricultural Managers show 38th-percentile AI task overlap — and about 85,500 annual U.S. openings

  • Farmers, Ranchers, and Other Agricultural Managers rank in the 38th percentile (Moderate 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 85,500 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 declining (-1.3%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $87,980, across about 5,910 U.S. workers.BLS OEWS (May 2024)
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Farmers, Ranchers, and Other Agricultural Managers show 38th-percentile AI task overlap — and about 85,500 annual U.S. openings

• Farmers, Ranchers, and Other Agricultural Managers rank in the 38th percentile (Moderate 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 85,500 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 declining (-1.3%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $87,980, across about 5,910 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Farmers, Ranchers, and Other Agricultural Managers". https://singulariki.com/roles/role-11-9013-00
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.

Data compiled June 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Farmers, Ranchers, and Other Agricultural Managers." 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; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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-11-9013-00

APA

Singulariki. (2026). Farmers, Ranchers, and Other Agricultural Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-9013-00

BibTeX
@misc{singulariki-role-11-9013-00,
  title  = {Farmers, Ranchers, and Other Agricultural Managers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); 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-11-9013-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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