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 →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
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-45-3031-00/context.md directly.
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.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
10th-percentile task overlap — yet about 2,800 openings a year (-4.6% projected, BLS) . What exposure means →
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.
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.
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.
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.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| 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 |
| 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 |
| Critical Thinking | 3.1 | |
| Speaking | 3.0 | |
| Monitoring | 2.9 |
| Coordination | 3.1 | |
| Judgment and Decision Making | 3.1 | |
| Time Management | 2.9 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
| 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 |
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.
What to study: Natural Resources and Conservation . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
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% |
The interests and personal qualities O*NET associates with people who do this work.
| Realistic | 7.0 | |
| Conventional | 3.3 | |
| Investigative | 2.3 | |
| Enterprising | 2.0 |
| 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 |
| Perseverance | 2.0 | |
| Dependability | 1.8 | |
| Adaptability | 1.5 |
Part of the Agriculture career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
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.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Fishing and Hunting Workers show 10th-percentile AI task overlap — and about 2,800 annual U.S. openings
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.
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.
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
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
@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.