# Fish and Game Wardens

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

- **SOC code:** 33-3031.00
- **Canonical URL:** https://singulariki.com/roles/role-33-3031-00
- **Also known as:** Game Warden, Natural Resource Officer, State Game Warden, Wildlife Officer, Fisheries Enforcement Officer, State Wildlife Officer, Wildlife Conservation Officer, Community Resource Officer
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- 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.
- Compile and present evidence for court actions.
- Investigate hunting accidents or reports of fish or game law violations.
- Protect and preserve native wildlife, plants, or ecosystems.
- Issue warnings or citations and file reports as necessary.
- Serve warrants and make arrests.
- Provide assistance to other local law enforcement agencies as required.
- Promote or provide hunter or trapper safety training.
- Participate in search-and-rescue operations.
- Arrange for disposition of fish or game illegally taken or possessed.
- Seize equipment used in fish and game law violations.
- Address schools, civic groups, sporting clubs, or the media to disseminate information concerning wildlife conservation and regulations.

**Emerging tasks** (O*NET):
- Operate drones for surveillance of large areas and tracking of wildlife.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Law and Government _(knowledge)_
- Public Safety and Security _(knowledge)_
- Biology _(knowledge)_
- English Language _(knowledge)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Inductive Reasoning _(ability)_
- Customer and Personal Service _(knowledge)_
- Problem Sensitivity _(ability)_
- Active Listening _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Speech Recognition _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Biology _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Psychology _(Specialized Skill)_
- Deductive Reasoning _(Common Skill)_
- Geography _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Social Perceptiveness _(Common Skill)_
- Complex Problem Solving _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Puppet _(hot technology)_
- Swift _(hot technology)_
- Database software
- Global positioning system GPS software
- Mapping software
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 38th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 36th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 42nd percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 41st percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 26th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** -6.0% growth (Declining); 0.5k annual openings; 7k → 6.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $68,180; 6,420 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-33-3031-00_