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Agriculture, Forestry, Fishing and Hunting

Sector · NAICS 11

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Agriculture, Forestry, Fishing and Hunting is a U.S. industry in the NAICS classification. The Bureau of Labor Statistics estimates about 423,370 workers across 151 detailed occupations in it. A typical worker earns around $41,450 a year (Singulariki estimate, see below).

The Sector as a Whole The Agriculture, Forestry, Fishing and Hunting sector comprises establishments primarily engaged in growing crops, raising animals, harvesting timber, and harvesting fish and other animals from a farm, ranch, or their natural habitats. The establishments in this sector are often described as farms, ranches, dairies, greenhouses, nurseries, orchards, or hatcheries. A farm may consist of a single tract of land or a number of separate tracts which may be held under different tenures. For example, one tract may be owned by the farm operator and another rented. It may be operated by the operator alone or with the assistance of members of the household or hired employees, or it may be operated by a partnership, corporation, or other type of organization. When a landowner has one or more tenants, renters, croppers, or managers, the land operated by each is considered a farm. The sector distinguishes two basic activities: agricultural production and agricultural support activities. Agricultural production includes establishments performing the complete farm or ranch operation, such as farm owner-operators and tenant farm operators. Agricultural support activities include establishments that perform one or more activities associated with farm operation, such as soil preparation, planting, harvesting, and management, on a contract or fee basis. Excluded from the Agriculture, Forestry, Fishing and Hunting sector are establishments primarily engaged in agricultural research (e.g., experimental farms) and government establishments primarily engaged in administering programs for regulating and conserving land, mineral, wildlife, and forest use. These establishments are classified in Industry 54171, Research and Development in the Physical, Engineering, and Life Sciences; and Industry 92412, Administration of Conservation Programs, respectively.

Employment is national May 2024 OEWS. "Typical pay" is Singulariki's own figure — the employment-weighted average of each occupation's national median wage — a rough center of the industry, not an official BLS number.

How exposed this industry is to AI

Weighting every occupation in this industry by its employment and its unified AI-exposure index (the OpenAI "GPTs are GPTs" human-rated task overlap folded with the Felten/Raj/Seamans AIOE index), this industry sits in the Low band — 2nd percentile across all industries.

Exposure measures how much of the work overlaps with what today's AI can do, not a prediction of automation; high-exposure industries are where AI is most likely to reshape tasks. Employment-weighted across 134 occupations that carry an exposure score. Compare every industry on the AI exposure hub.

How AI is actually used in this industry

Among measured Claude.ai (Free and Pro) conversations mapped to O*NET task statements (Anthropic Economic Index, 2026-01-15), these patterns are most associated with the occupations in this industry, weighted by its employment mix. They are shares of observed AI conversations — not of worker time, revenue, or what could be automated — and reflect one AI assistant's consumer sample, not all AI.

Signal coverage 62.0% of employment · 70/143 occupations have AEI task data
Augmentation vs. automation 52.0% working with AI · 41.8% handed to AI
Most common pattern Directive · AI does it; you give the instruction
Typical AI autonomy 3.9 / 5 · higher = AI acts more independently

Tasks driving the signal

The task families that account for the most AI activity across this industry's occupations (employment × observed usage), each attributed to the occupation it comes from.

Task Occupation How Share of signal
Provide information and advice to the public regarding the selection, purchase, and care of products. Farmworkers and Laborers, Crop, Nursery, and Greenhouse Directive 80.6%
Troubleshoot problems involving office equipment, such as computer hardware and software. Office Clerks, General Feedback loop 10.0%
Participate in the inspection, grading, sorting, storage, and post-harvest treatment of crops. Farmworkers and Laborers, Crop, Nursery, and Greenhouse Directive 1.1%
Use computers for various applications, such as database management or word processing. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 0.8%
Conduct searches to find needed information, using such sources as the Internet. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 0.8%
Develop or maintain internal or external company Web sites. Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Directive 0.6%
Process and prepare documents, such as business or government forms and expense reports. Office Clerks, General Directive 0.4%
Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work. First-Line Supervisors of Office and Administrative Support Workers Iteration 0.4%
Complete work schedules, manage calendars, and arrange appointments. Office Clerks, General Directive 0.2%
Answer customers' questions about products, prices, availability, product uses, and credit terms. Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products Learning 0.2%
Classify, record, and summarize numerical and financial data to compile and keep financial records, using journals and ledgers or computers. Bookkeeping, Accounting, and Auditing Clerks Directive 0.2%
Operate office machines, such as photocopiers and scanners, facsimile machines, voice mail systems, and personal computers. Office Clerks, General Learning 0.2%

Occupations behind the signal

The occupations whose AI-touched tasks contribute most to this industry's signal, by employment here.

Occupation Workers Share How they use AI
Farmworkers and Laborers, Crop, Nursery, and Greenhouse 195,350 46.1% Directive
Heavy and Tractor-Trailer Truck Drivers 13,550 3.2% Directive
Office Clerks, General 7,140 1.7% Feedback loop
General and Operations Managers 5,940 1.4% Iteration
Bookkeeping, Accounting, and Auditing Clerks 4,120 1.0% Directive
Maintenance and Repair Workers, General 3,280 0.8% Learning
Inspectors, Testers, Sorters, Samplers, and Weighers 2,810 0.7% Directive
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 2,700 0.6% Directive
Farmers, Ranchers, and Other Agricultural Managers 2,560 0.6% Learning
Shipping, Receiving, and Inventory Clerks 2,260 0.5% Iteration
Landscaping and Groundskeeping Workers 1,700 0.4% Learning
First-Line Supervisors of Office and Administrative Support Workers 1,680 0.4% Iteration

This rollup is only as complete as the occupation-task matches available for the industry; the coverage figure above is shown so sparse industries do not look falsely precise. AI exposure is not the same as replacement.

Skill & tool metabolism

What this industry's work actually runs on. Each figure is the share of the industry's workers in occupations that significantly rely on a skill, knowledge area, or ability (O*NET importance ≥ 3 of 5), or that use a tool category — its employment reach. This is a measure of how widespread a requirement is across the workforce, not how intensively any one worker uses it. Shares are independent and need not add to 100%.

Based on 98.2% of this industry's employment that maps to a detailed occupation with an O*NET skill profile.

Skills

Skill Employment reach Workers
Operations Monitoring 74.3% 314,400
Speaking 72.8% 308,230
Monitoring 37.3% 157,970
Active Listening 37.2% 157,300
Critical Thinking 27.0% 114,250
Operation and Control 27.0% 114,150
Reading Comprehension 26.8% 113,370
Time Management 23.9% 101,180
Coordination 23.2% 98,050
Judgment and Decision Making 20.7% 87,620
Troubleshooting 19.3% 81,520
Complex Problem Solving 17.2% 72,750

Knowledge areas

Knowledge area Employment reach Workers
English Language 38.4% 162,720
Customer and Personal Service 32.0% 135,280
Production and Processing 29.8% 126,010
Mathematics 21.1% 89,540
Administration and Management 19.7% 83,400
Mechanical 18.3% 77,580
Public Safety and Security 14.5% 61,420
Education and Training 11.1% 46,820
Administrative 10.5% 44,510
Biology 8.7% 36,710
Computers and Electronics 8.2% 34,810
Food Production 7.9% 33,410

Abilities

Abilitie Employment reach Workers
Near Vision 98.2% 415,920
Oral Comprehension 97.1% 411,140
Problem Sensitivity 92.9% 393,350
Oral Expression 89.2% 377,510
Manual Dexterity 86.3% 365,570
Speech Recognition 84.2% 356,460
Deductive Reasoning 79.6% 337,110
Speech Clarity 78.7% 333,260
Arm-Hand Steadiness 78.6% 332,850
Multilimb Coordination 77.7% 328,850
Control Precision 76.1% 322,320
Trunk Strength 76.1% 322,150

Tool categories

Tool category Employment reach Workers
Spreadsheet software 97.7% 413,790
Office suite software 93.9% 397,340
Word processing software 92.9% 393,150
Data base user interface and query software 87.6% 370,980
Electronic mail software 85.1% 360,370
Presentation software 73.7% 312,030
Internet browser software 67.7% 286,650
Mobile location based services software 47.3% 200,170
Enterprise resource planning ERP software 40.1% 169,610
Inventory management software 25.2% 106,760
Operating system software 17.3% 73,430
Computer aided design CAD software 15.1% 64,140
Calendar and scheduling software 15.0% 63,390
Project management software 14.1% 59,690
Accounting software 13.7% 57,980

Reach = share of industry employment in occupations where the requirement is significant; it is not a per-worker usage or proficiency measure. Skill, knowledge, and ability importance is from O*NET; tool use is reported presence of a technology category.

Largest occupations

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 37 occupations in Agriculture, Forestry, Fishing and Hunting. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Landscaping and Groundskeeping Workers Industrial Truck and Tractor Operators Packaging and Filling Machine Operators and Tenders Cleaners of Vehicles and Equipment Fallers Logging Equipment Operators Mobile Heavy Equipment Mechanics, Except Engines Farm Equipment Mechanics and Service Technicians First-Line Supervisors of Farming, Fishing, and Forestry Workers Farmers, Ranchers, and Other Agricultural Managers Inspectors, Testers, Sorters, Samplers, and Weighers Commercial Pilots Animal Caretakers Shipping, Receiving, and Inventory Clerks First-Line Supervisors of Production and Operating Workers General and Operations Managers First-Line Supervisors of Office and Administrative Support Workers Secretaries and Administrative Assistants, Except Legal, Medical, and Executive Bookkeeping, Accounting, and Auditing Clerks Payroll and Timekeeping Clerks Accountants and Auditors AI task-overlap percentile → ↑ Median pay
The largest occupations in this industry with both an AI task-overlap score and a wage, plotted by task-overlap percentile (horizontal) and median-pay percentile (vertical). Overlap measures shared tasks with AI, not automation.

The occupations that employ the most people in this industry, with their share of the industry's workforce and national median pay for the occupation (not industry-specific pay).

Occupation Workers Share National median pay
Farmworkers and Laborers, Crop, Nursery, and Greenhouse 195,350 46.1% $35,540
Packers and Packagers, Hand 22,020 5.2% $34,330
Logging Equipment Operators 17,290 4.1% $50,400
Agricultural Equipment Operators 16,020 3.8% $37,940
First-Line Supervisors of Farming, Fishing, and Forestry Workers 15,320 3.6% $57,740
Heavy and Tractor-Trailer Truck Drivers 13,550 3.2% $48,610
Farmworkers, Farm, Ranch, and Aquacultural Animals 12,680 3.0% $35,990
Graders and Sorters, Agricultural Products 10,710 2.5% $34,840
Laborers and Freight, Stock, and Material Movers, Hand 10,360 2.4% $35,340
Industrial Truck and Tractor Operators 8,260 2.0% $38,480
Office Clerks, General 7,140 1.7% $41,070
Animal Caretakers 6,560 1.5% $34,930
General and Operations Managers 5,940 1.4% $82,920
Packaging and Filling Machine Operators and Tenders 5,560 1.3% $37,770
Bookkeeping, Accounting, and Auditing Clerks 4,120 1.0% $46,910
Maintenance and Repair Workers, General 3,280 0.8% $43,830
Farm Equipment Mechanics and Service Technicians 3,190 0.8% $45,900
Inspectors, Testers, Sorters, Samplers, and Weighers 2,810 0.7% $37,570
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive 2,700 0.6% $43,090
Janitors and Cleaners, Except Maids and Housekeeping Cleaners 2,670 0.6% $35,610
Fallers 2,620 0.6% $56,980
Farmers, Ranchers, and Other Agricultural Managers 2,560 0.6% $94,170
Shipping, Receiving, and Inventory Clerks 2,260 0.5% $39,210
Cleaners of Vehicles and Equipment 2,090 0.5% $37,230
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors 2,020 0.5% $57,220
Logging Workers, All Other 1,780 0.4% $54,770
Landscaping and Groundskeeping Workers 1,700 0.4% $37,690
First-Line Supervisors of Office and Administrative Support Workers 1,680 0.4% $67,780
Animal Trainers 1,660 0.4% $44,150
Payroll and Timekeeping Clerks 1,590 0.4% $48,520
First-Line Supervisors of Production and Operating Workers 1,520 0.4% $61,340
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products 1,430 0.3% $69,990
Mobile Heavy Equipment Mechanics, Except Engines 1,420 0.3% $53,040
Pesticide Handlers, Sprayers, and Applicators, Vegetation 1,270 0.3% $42,680
Accountants and Auditors 1,130 0.3% $80,220
Commercial Pilots 1,110 0.3% $63,730
Agricultural Technicians 1,080 0.3% $40,420
Agricultural Workers, All Other 1,000 0.2% $44,310
Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders 970 0.2% $38,640
Industrial Machinery Mechanics 950 0.2% $51,160

Showing the top 40 of 151 occupations by employment.

Most distinctive occupations

The occupations most unusually concentrated in this industry compared with the economy as a whole. The location quotient is how many times more common an occupation is here versus its economy-wide share (a value of 5 means five times as concentrated).

For a sector this broad, the location quotient has a ceiling set by the sector's own share of national employment, so the top values tend to cluster near that limit.

Occupation Concentration Workers
Farm Labor Contractors 319.77× 360
Logging Workers, All Other 300.12× 1,780
Logging Equipment Operators 279.61× 17,290
Farmworkers and Laborers, Crop, Nursery, and Greenhouse 271.86× 195,350
Fallers 232.16× 2,620
First-Line Supervisors of Farming, Fishing, and Forestry Workers 188.94× 15,320
Agricultural Equipment Operators 188.57× 16,020
Animal Breeders 170.52× 810
Farmers, Ranchers, and Other Agricultural Managers 157.75× 2,560
Graders and Sorters, Agricultural Products 145.16× 10,710
Farmworkers, Farm, Ranch, and Aquacultural Animals 130.38× 12,680
Agricultural Workers, All Other 73.13× 1,000
Animal Scientists 42.76× 290
Farm Equipment Mechanics and Service Technicians 31.5× 3,190
Animal Trainers 30.06× 1,660
Agricultural Technicians 27.43× 1,080
Foresters 23.78× 630
Pesticide Handlers, Sprayers, and Applicators, Vegetation 18.35× 1,270
Soil and Plant Scientists 17.11× 780
Agricultural Inspectors 15.06× 500
Write a report on thisheadline · factoids · citation

The Agriculture, Forestry, Fishing and Hunting workforce sits at the 2nd percentile of AI task overlap — 423,370 U.S. workers

  • Weighting every occupation by its real share of Agriculture, Forestry, Fishing and Hunting employment, the industry's workforce ranks in the 2nd percentile (Low band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk.Eloundou et al. + Felten AIOE, weighted by BLS OEWS
  • The industry employs about 423,370 U.S. workers across 151 occupations.BLS OEWS (May 2024)
  • Employment-weighted typical annual pay is about $41,450.BLS OEWS (May 2024)
  • Of AI use observed across this industry's occupations, 52% looks like augmentation rather than automation — from a Claude.ai sample, not a census.Anthropic Economic Index
Copy the whole kit
The Agriculture, Forestry, Fishing and Hunting workforce sits at the 2nd percentile of AI task overlap — 423,370 U.S. workers

• Weighting every occupation by its real share of Agriculture, Forestry, Fishing and Hunting employment, the industry's workforce ranks in the 2nd percentile (Low band) for AI task overlap — overlap with what AI can attempt, not a measure of jobs at risk. (Eloundou et al. + Felten AIOE, weighted by BLS OEWS)
• The industry employs about 423,370 U.S. workers across 151 occupations. (BLS OEWS (May 2024))
• Employment-weighted typical annual pay is about $41,450. (BLS OEWS (May 2024))
• Of AI use observed across this industry's occupations, 52% looks like augmentation rather than automation — from a Claude.ai sample, not a census. (Anthropic Economic Index)

Source: Singulariki — "Agriculture, Forestry, Fishing and Hunting". https://singulariki.com/industries/11
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 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "Agriculture, Forestry, Fishing and Hunting." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/industries/11

APA

Singulariki. (2026). Agriculture, Forestry, Fishing and Hunting. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/industries/11

BibTeX 
@misc{singulariki-11,
  title  = {Agriculture, Forestry, Fishing and Hunting},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/industries/11}
}

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