O*NET-SOC code
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.

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: ILOPublished: 2025

    0.09–0.18· 5 ISCO-08 groups

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published

    Source dataset (PDF download)

  • Data source: OpenAIPublished: 2023

    0.009

    0.000Range of values carried here0.844
    Scale, basis and source

    Human-rater β, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset (CSV download)

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

ILO value for each linked ISCO-08 group
  • ISCO-08 6222Inland and Coastal Waters Fishery Workers0.17
  • ISCO-08 6223Deep-sea Fishery Workers0.18
  • ISCO-08 6224Hunters and Trappers0.09
  • ISCO-08 6340Subsistence Fishers, Hunters, Trappers and Gatherers0.12
  • ISCO-08 9216Fishery and Aquaculture Labourers0.11

AI exposure (OpenAI rubric)

30 rated tasks · 3 tasks with β ≥ 0.5 (10.0%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

  • Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
  • 1 rated task is not in the O*NET 31.0 task list; its score is kept as published for O*NET 27.2.
Source
OpenAI "GPTs are GPTs" exposure rubric
Release
gh-main-0471612
License
MIT License, Copyright (c) 2024 OpenAI

Tasks

Task statements from the O*NET® 31.0 Database, core tasks first.

TaskTypeβ (OpenAI)
Travel on foot, by vehicle, or by equipment such as boats, snowmobiles, helicopters, snowshoes, or skis to reach hunting areas.Core0
Steer vessels and operate navigational instruments.Core0
Maintain engines, fishing gear, and other on-board equipment and perform minor repairs.Core0
Remove catches from fishing equipment and measure them to ensure compliance with legal size.Core0.5
Select, bait, and set traps, and lay poison along trails, according to species, size, habits, and environs of birds or animals and reasons for trapping them.Core0
Interpret weather and vessel conditions to determine appropriate responses.Core0
Wash decks, conveyors, knives, and other equipment, using brushes, detergents, and water.Core0
Connect accessories such as floats, weights, flags, lights, or markers to nets, lines, or traps.Core0
Load and unload vessel equipment and supplies, by hand or using hoisting equipment.Core0
Harvest marine life for human or animal consumption, using diving or dredging equipment, traps, barges, rods, reels, or tackle.Core0
Direct fishing or hunting operations, and supervise crew members.Core0
Oversee the purchase of supplies, gear, and equipment.Core0.5
Patrol trap lines or nets to inspect settings, remove catch, and reset or relocate traps.Supplemental0
Obtain permission from landowners to hunt or trap on their land.Supplemental0
Skin quarry, using knives, and stretch pelts on frames to be cured.Supplemental0
Maintain and repair trapping equipment.Supplemental0
Scrape fat, blubber, or flesh from skin sides of pelts with knives or hand scrapers.Supplemental0
Put fishing equipment into the water and anchor or tow equipment, according to the fishing method used.Supplemental0
Sort, pack, and store catch in holds with salt and ice.Supplemental0
Locate fish, using fish-finding equipment.Supplemental0
Obtain required approvals for using poisons or traps, and notify persons in areas where traps and poison are set.Supplemental0
Track animals by checking for signs such as droppings or destruction of vegetation.Supplemental0
Compute positions and plot courses on charts to navigate vessels, using instruments such as compasses, sextants, and charts.Supplemental0.5
Attach nets, slings, hooks, blades, or lifting devices to cables, booms, hoists, or dredges.Supplemental0
Participate in animal damage control, wildlife management, disease control, and research activities.Supplemental0
Transport fish to processing plants or to buyers.Supplemental0
Release quarry from traps or nets and transfer to cages.Supplemental0
Kill or stun trapped quarry, using clubs, poisons, guns, or drowning methods.Supplemental0
Teach or guide individuals or groups unfamiliar with specific hunting methods or types of prey.Supplemental0

Occupation information

Sources and attribution

This page includes information from the O*NET® 31.0 Database (https://www.onetcenter.org/database.html) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. AI Changing Work has modified all or some of this information: the O*NET-SOC code, title and task statements are reproduced in English without change; task-type labels are shown in the page's language and tasks are listed core first; any Korean occupation title shown on the Korean-language page is AI Changing Work's translation; any KSCO-8 unit groups linked to this occupation were paired with it by AI Changing Work's judgment, and the relation labels and statuses are AI Changing Work's additions. USDOL/ETA has not approved, endorsed, or tested these modifications.

Any AI exposure figures on this page are published by third parties, not by AI Changing Work, and none is part of the O*NET information. OpenAI publishes task-level scores (MIT License) for O*NET 27.2 task statements; each is shown next to the O*NET 31.0 task statement with the same task ID, whose wording can differ from the 27.2 statement that was scored. OpenAI also publishes occupation-level scores for O*NET-SOC codes in the same release, and any such score is shown on the O*NET occupation with the same code. Anthropic publishes an observed exposure index in the Anthropic Economic Index (CC-BY), and the U.S. Bureau of Labor Statistics publishes relative AI exposure categories (public domain); both are published per SOC code, and each value is shown on every O*NET occupation with that code. The International Labour Organization publishes a generative AI exposure index in ILO Working Paper 140 (CC BY 4.0) for ISCO-08 unit groups; AI Changing Work links those groups to O*NET occupations by applying the U.S. Bureau of Labor Statistics ISCO-08 to 2010 SOC and 2010 SOC to 2018 SOC crosswalks as published, without case-by-case selection, and these crosswalks match many groups only in part. Where several unit groups are linked, each group's published value is listed, and any summary shows only the lowest and highest of those values with the number of groups; no exposure figure is averaged or recalculated. Any employment figures are published by the U.S. Bureau of Labor Statistics for the SOC group containing this occupation. Each source is credited where its figures are shown.

O*NET OnLine: 45-3031.00 Fishing and Hunting Workers

KSCO 코드·명칭: 한국표준직업분류(제8차 개정) — 통계청 고시 제2024-328호 (2024-07-01 고시, 2025-01-01 시행). 저작권법 제7조 제2호의 고시 항목이다. 명칭 표기(가운뎃점·띄어쓰기)는 해설서 2차 정오 반영판의 표기를 따랐으며, 고시 항목표와는 18개 명칭에서 가운뎃점 글리프나 띄어쓰기만 다르다. 통계청은 2025년 10월 국가데이터처로 개편되었다. 이 페이지의 KSCO 연결은 통계청·국가데이터처의 공식 연계표가 아니다.

Full attribution and licenses