Fish and Game Wardens

O*NET-SOC code: 33-3031.00

Patrol assigned area to prevent fish and game law violations. Investigate reports of damage to crops or property by wildlife. Compile biological data.

Data source: BLSPublished: 2026-08
Moderate· 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: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
Source dataset (CSV download)
Data source: ILOPublished: 2025
0.20
0.09Range of values carried here0.70
Group-level value
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)

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.

Task-level exposure

Show 13 hidden tasks

24 rated tasks · 11 tasks with β ≥ 0.5 (45.8%)

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

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

Task (O*NET 27.2)	βE1 + 0.5 × E2
Address schools, civic groups, sporting clubs, or the media to disseminate information concerning wildlife conservation and regulations. O*NET Task ID 7922	1.0
Issue warnings or citations and file reports as necessary. O*NET Task ID 20584	1.0
Recommend revisions in hunting and trapping regulations or in animal management programs so that wildlife balances or habitats can be maintained. O*NET Task ID 7923	0.5
Collect and report information on populations or conditions of fish and wildlife in their habitats, availability of game food or cover, or suspected pollution. O*NET Task ID 7925	0.5
Survey areas and compile figures of bag counts of hunters to determine the effectiveness of control measures. O*NET Task ID 7926	0.5
Investigate crop, property, or habitat damage or destruction or instances of water pollution to determine causes and to advise property owners of preventive measures. O*NET Task ID 7928	0.5
Design or implement control measures to prevent or counteract damage caused by wildlife or people. O*NET Task ID 7929	0.5
Document the extent of crop, property, or habitat damage and make financial loss estimates or compensation recommendations. O*NET Task ID 7930	0.5
Issue licenses, permits, or other documentation. O*NET Task ID 7932	0.5
Provide advice or information to park or reserve visitors. O*NET Task ID 7933	0.5
Compile and present evidence for court actions. O*NET Task ID 20582	0.5
Show 1 more task ▾Show less ▴

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

All O*NET 31.0 task statements (23)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)	Type
Patrol assigned areas by car, boat, airplane, horse, or on foot to enforce game, fish, or boating laws or to manage wildlife programs, lakes, or land.	Core
Protect and preserve native wildlife, plants, or ecosystems.	Core
Promote or provide hunter or trapper safety training.	Core
Provide assistance to other local law enforcement agencies as required.	Core
Address schools, civic groups, sporting clubs, or the media to disseminate information concerning wildlife conservation and regulations.	Core
Recommend revisions in hunting and trapping regulations or in animal management programs so that wildlife balances or habitats can be maintained.	Core
Issue licenses, permits, or other documentation.	Core
Provide advice or information to park or reserve visitors.	Core
Compile and present evidence for court actions.	Core
Investigate hunting accidents or reports of fish or game law violations.	Core
Issue warnings or citations and file reports as necessary.	Core
Serve warrants and make arrests.	Core
Participate in search-and-rescue operations.	Core
Arrange for disposition of fish or game illegally taken or possessed.	Core
Seize equipment used in fish and game law violations.	Core
Inspect commercial operations relating to fish or wildlife, recreation, or protected areas.	Supplemental
Collect and report information on populations or conditions of fish and wildlife in their habitats, availability of game food or cover, or suspected pollution.	Supplemental
Survey areas and compile figures of bag counts of hunters to determine the effectiveness of control measures.	Supplemental
Investigate crop, property, or habitat damage or destruction or instances of water pollution to determine causes and to advise property owners of preventive measures.	Supplemental
Design or implement control measures to prevent or counteract damage caused by wildlife or people.	Supplemental
Document the extent of crop, property, or habitat damage and make financial loss estimates or compensation recommendations.	Supplemental
Perform facilities maintenance work, such as constructing or repairing structures or controlling weeds or pests.	Supplemental
Participate in firefighting efforts.	Supplemental

Anthropic, "What work can robots do?"2026-09

0.18/ 3· Robot exposure index

0 none3 unstructured settings

Scale, basis and source

Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time

Physical tasks among this occupation's O*NET 29.3 tasks

Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.

Source dataset

The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.

Tier of each physical task

Robot environment tiers (E0–E3)

E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site

Only tasks classified as physical are listed; other tasks have no tier in the source.

Task (O*NET 29.3)	Robot environment tier
Patrol assigned areas by car, boat, airplane, horse, or on foot to enforce game, fish, or boating laws or to manage wildlife programs, lakes, or land.	E0 none
Protect and preserve native wildlife, plants, or ecosystems.	E0 none
Provide assistance to other local law enforcement agencies as required.	E0 none
Inspect commercial operations relating to fish or wildlife, recreation, or protected areas.	E0 none
Collect and report information on populations or conditions of fish and wildlife in their habitats, availability of game food or cover, or suspected pollution.	E3 unstructured settings
Survey areas and compile figures of bag counts of hunters to determine the effectiveness of control measures.	E1 purpose-built robot settings
Investigate crop, property, or habitat damage or destruction or instances of water pollution to determine causes and to advise property owners of preventive measures.	E0 none
Design or implement control measures to prevent or counteract damage caused by wildlife or people.	E0 none
Investigate hunting accidents or reports of fish or game law violations.	E0 none
Serve warrants and make arrests.	E0 none
Participate in search-and-rescue operations.	E0 none
Arrange for disposition of fish or game illegally taken or possessed.	E1 purpose-built robot settings
Seize equipment used in fish and game law violations.	E0 none
Document the extent of crop, property, or habitat damage and make financial loss estimates or compensation recommendations.	E3 unstructured settings
Perform facilities maintenance work, such as constructing or repairing structures or controlling weeds or pests.	E1 purpose-built robot settings
Participate in firefighting efforts.	E0 none

Employment outlook (BLS)

Employment, 2025: 6K
Projected employment, 2035: 6K
Change (2025–35): -5.7%
Median annual wage, 2025: $74,060
Typical education needed for entry: Bachelor's degree

lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO code	KSCO title	Relation	Status
41111	해양 경찰관 및 수사관	Related, not a match	confirmed
99991	환경 감시원	Related, not a match	confirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

ISCO-08 5419Protective Services Workers Not Elsewhere Classified

The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.

This unit group covers protective services workers not classified elsewhere in Minor Group 541: Protective Services Workers. For instance, the unit group includes lifeguards, crossing guards and animal control officers.

Tasks

(a) patrolling beaches and swimming pools to prevent accidents and to rescue bathers from drowning;
(b) monitoring traffic flow to locate safe gaps through which pedestrians can cross streets;
(c) responding to citizen complaints concerning stray domestic animals, livestock and wildlife, issuing warnings and citations to owners and impounding lost, homeless and dangerous animals;
(d) patrolling an assigned area to enforce parking regulations;
(e) directing traffic.

Example occupations

Animal control officer · Beach patrolman/woman · Crossing guard · Game warden · Lifeguard · Traffic warden

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

game keeperESCO 5164.7This occupation is narrower
Game keepers manage the habitat and wild game population in a defined area.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME code	ROME title (French)	Relation
A1204	Garde nature	This occupation is narrowerprovisional
A1215	Agent / Agente d'aires marines protégées	Related, not a match
A1217	Responsable de gardes nature	Related, not a matchprovisional

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 code	CNO-11 title (Spanish)	Relation
5993	Agentes forestales y medioambientales	This occupation is narrowerprovisional

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB code	KldB title (German)	Relation
11732	Berufe in der Jagdwirtschaft und Wildhege - fachlich ausgerichtete Tätigkeiten	Overlapping, not the same
11493	Aufsichtskräfte - Fischwirtschaft	Related, not a match
11723	Berufe in der Natur- und Landschaftspflege - komplexe Spezialistentätigkeiten	Related, not a match

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO code	JSCO title (Japanese)	Relation
249	他に分類されない専門的職業従事者	Related, not a match
449	その他の司法警察職員	Related, not a match
489	その他の漁業従事者	Related, not a matchprovisional

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources