# Animal Breeders

> Select and breed animals according to their genealogy, characteristics, and offspring. May require knowledge of artificial insemination techniques and equipment use. May involve keeping records on heats, birth intervals, or pedigree.

- **SOC code:** 45-2021.00
- **Canonical URL:** https://singulariki.com/roles/role-45-2021-00
- **Also known as:** Animal Technician, Artificial Insemination Technician (AI Technician), Breeder, Dog Breeder, Artificial Inseminator, Large Herd Specialist, Animal Breeder, Animal Husbandman
- **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):
- Feed and water animals, and clean and disinfect pens, cages, yards, and hutches.
- Observe animals in heat to detect approach of estrus and exercise animals to induce or hasten estrus, if necessary.
- Place vaccines in drinking water, inject vaccines, or dust air with vaccine powder to protect animals from diseases.
- Treat minor injuries and ailments and contact veterinarians to obtain treatment for animals with serious illnesses or injuries.
- Arrange for sale of animals and eggs to hospitals, research centers, pet shops, and food processing plants.
- Purchase and stock supplies of feed and medicines.
- Bathe and groom animals.
- Select animals to be bred, and semen specimens to be used, according to knowledge of animals, genealogies, traits, and desired offspring characteristics.
- Examine animals to detect symptoms of illness or injury.
- Exercise animals to keep them in healthy condition.
- Adjust controls to maintain specific building temperatures required for animals' health and safety.
- Build hutches, pens, and fenced yards.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Sales and Marketing _(knowledge)_
- Administration and Management _(knowledge)_
- Near Vision _(ability)_
- Biology _(knowledge)_
- Critical Thinking _(essential_skill)_
- Mathematics _(knowledge)_
- Administrative _(knowledge)_
- Problem Sensitivity _(ability)_
- Deductive Reasoning _(ability)_
- Category Flexibility _(ability)_
- Active Listening _(essential_skill)_

**Skills in demand:**
- Biology _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Mathematics _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Word _(Common Skill)_
- Microsoft Windows _(Common Skill)_
- Microsoft SharePoint _(Specialized Skill)_
- Microsoft Outlook _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Microsoft Access _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_

**Tools & technology:**
- Adobe Acrobat _(hot technology)_
- Adobe Creative Cloud software _(hot technology)_
- Adobe Illustrator _(hot technology)_
- Adobe InDesign _(hot technology)_
- Adobe Photoshop _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft SharePoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 32nd percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 16th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 28th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 58th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 89th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 2.4% growth (About average); 1.2k annual openings; 7.9k → 8.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $52,000; 1,730 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-45-2021-00_