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Singulariki

Fishing and Hunting Workers

Occupation · SOC 45-3031.00

Hunt, trap, catch, or gather wild animals or aquatic animals and plants. May use nets, traps, or other equipment. May haul catch onto ship or other vessel.

Also called: Deckhand · Lobster Fisherman · Nuisance Trapper · Trapper · Commercial Fisherman · Commercial Fishing Vessel Operator · Fisherman · Fur Trapper · Hunter · Wildlife Control Operator · Abalone Fisherman · Albacore Fishing Boat Crewman

Job family: Farming, Fishing, and Forestry Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-45-3031-00/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.

10th-percentile task overlap — yet about 2,800 openings a year (-4.6% 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
LLM task exposure, γ (OpenAI / Eloundou) Low 13th 0.1
AI assistant applicability (Microsoft) Low 16th 0.1

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.

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 · -4.6% by 2034
Projected annual openings 2,800
Employment 2024 → 2034 21,900 → 20,900

“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.

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.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Operate and maintain drone technology for aerial surveillance of hunting and fishing areas.

Work activities

Knowledge, skills & abilities

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

Abilities

Spatial Orientation 4.3
Far Vision 3.8
Static Strength 3.6
Flexibility of Closure 3.5
Trunk Strength 3.5
Near Vision 3.5
Problem Sensitivity 3.4
Inductive Reasoning 3.4
Arm-Hand Steadiness 3.4
Oral Comprehension 3.3
Oral Expression 3.3
Deductive Reasoning 3.3
Manual Dexterity 3.3
Control Precision 3.3
Multilimb Coordination 3.3
Depth Perception 3.3
Reaction Time 3.1
Dynamic Strength 3.1
Extent Flexibility 3.1
Category Flexibility 3.0
Visual Color Discrimination 3.0
Hearing Sensitivity 3.0
Speech Clarity 3.0

Knowledge

Geography 3.5
Mechanical 3.4
Customer and Personal Service 3.3
Law and Government 3.3
Biology 3.3
Sales and Marketing 3.0
English Language 3.0
Education and Training 3.0
Computers and Electronics 3.0
Public Safety and Security 3.0
Transportation 3.0

Essential skills

Critical Thinking 3.1
Speaking 3.0
Monitoring 2.9

Transferable skills

Coordination 3.1
Judgment and Decision Making 3.1
Time Management 2.9

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology
Microsoft Office software Office suite software Hot technology
Catchlog Trading Catchlog Data base user interface and query software
DeerDays Analytical or scientific software
Inventory management systems Inventory management software
MaxSea Time Zero Navigator NOAA Route navigation software
MaxSea TIMEZERO Map creation software
OLRAC Electronic Logbook Software Solution Data base user interface and query software
P-Sea WindPlot Map creation software
Signet Nobeltec Catch Map creation software
Strat-Tech Deer Hunting Expert Analytical or scientific software
Trimble MyTopo Terrain Navigator Pro Map creation software
Winchester Ammunition Ballistics Calculator Analytical or scientific software

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.

Outdoors, Exposed to All Weather Conditions 4.9
Face-to-Face Discussions with Individuals and Within Teams 4.4
Freedom to Make Decisions 4.4
Contact With Others 4.1
Exposed to Extremely Bright or Inadequate Lighting Conditions 4.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 4.0
Spend Time Standing 4.0
Telephone Conversations 4.0
Exposed to Very Hot or Cold Temperatures 4.0
Level of Competition 4.0
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 3.9
Determine Tasks, Priorities and Goals 3.8
Exposed to Minor Burns, Cuts, Bites, or Stings 3.8
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.6
Physical Proximity 3.6
Indoors, Not Environmentally Controlled 3.6
Spend Time Making Repetitive Motions 3.6
E-Mail 3.5
Impact of Decisions on Co-workers or Company Results 3.5
In an Open Vehicle or Operating Equipment 3.4
Spend Time Keeping or Regaining Balance 3.4
Health and Safety of Other Workers 3.4
Frequency of Decision Making 3.3
Spend Time Bending or Twisting Your Body 3.3
Consequence of Error 3.3
Work With or Contribute to a Work Group or Team 3.3
Importance of Being Exact or Accurate 3.2
Deal With External Customers or the Public in General 3.2
Coordinate or Lead Others in Accomplishing Work Activities 3.1
Work Outcomes and Results of Other Workers 3.1
Outdoors, Under Cover 3.0
Spend Time Walking or Running 3.0
Time Pressure 3.0
In an Enclosed Vehicle or Operate Enclosed Equipment 2.9
Exposed to Contaminants 2.8
Conflict Situations 2.7
Exposed to Hazardous Equipment 2.6
Exposed to Cramped Work Space, Awkward Positions 2.5
Written Letters and Memos 2.5
Importance of Repeating Same Tasks 2.5

How to get in

Job zone
Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
Education
Usually requires a high school diploma or GED, though some occupations may not.
Typical entry-level education
No formal educational credential · BLS, the typical path — not a requirement
Related experience
Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
Preparation level
SVP (Below 6.0) — total schooling plus on-the-job experience.

What to study: 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.

Less than a High School Diploma 45.0%
High School Diploma 30.0%
Some College Courses 15.0%
Post-Secondary Certificate 5.0%
Bachelor's Degree 5.0%

Interests & work styles

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

Career interests (Holland / RIASEC)

Realistic 7.0
Conventional 3.3
Investigative 2.3
Enterprising 2.0

Interest areas

Physical/Manual Labor 6.2
Nature/Outdoors 5.5
Transportation/Machine Operation 5.2
Mechanics/Electronics 3.0
Management/Administration 2.1
Agriculture 1.8
Life Science 1.8
Engineering 1.6
Animal Service 1.6

Work styles

Perseverance 2.0
Dependability 1.8
Adaptability 1.5

Part of the Agriculture career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical) for 12 occupations adjacent to Fishing and Hunting Workers. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Laborers and Freight, Stock, and Material Movers, Hand Motorboat Operators Sailors and Marine Oilers Agricultural Equipment Operators Farmworkers and Laborers, Crop, Nursery, and Greenhouse Commercial Divers Captains, Mates, and Pilots of Water Vessels Fish and Game Wardens 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 Fishing and Hunting Workers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.

Write a report on thisheadline · factoids · citation

Fishing and Hunting Workers show 10th-percentile AI task overlap — and about 2,800 annual U.S. openings

  • Fishing and Hunting Workers rank in the 10th 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 2,800 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 (-4.6%) from 2024 to 2034.BLS Employment Projections 2024–34
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Fishing and Hunting Workers show 10th-percentile AI task overlap — and about 2,800 annual U.S. openings

• Fishing and Hunting Workers rank in the 10th 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 2,800 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 (-4.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)

Source: Singulariki — "Fishing and Hunting Workers". https://singulariki.com/roles/role-45-3031-00
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. "Fishing and Hunting Workers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-45-3031-00

APA

Singulariki. (2026). Fishing and Hunting Workers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-45-3031-00

BibTeX
@misc{singulariki-role-45-3031-00,
  title  = {Fishing and Hunting Workers},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/roles/role-45-3031-00}
}

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

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