75/100
Very highHow much of this occupation’s work can be materially affected by current AI systems.
59/100
ModerateHow likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
Task-level evidence
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
TaskImportanceAI impactExposure
Study nutritional requirements of animals and nutritive values of animal feed materials.High76
Study effects of management practices, processing methods, feed, or environmental conditions on quality and quantity of animal products, such as eggs and milk.High73
Advise producers about improved products and techniques that could enhance their animal production efforts.High76
Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals.High75
Conduct research concerning animal nutrition, breeding, or management to improve products or processes.High74
Write up or orally communicate research findings to the scientific community, producers, and the public.High74
Research and control animal selection and breeding practices to increase production efficiency and improve animal quality.Medium74
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Study nutritional requirements of animals and nutritive values of animal feed materials.76
- Advise producers about improved products and techniques that could enhance their animal production efforts.76
- Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals.75
- Conduct research concerning animal nutrition, breeding, or management to improve products or processes.74
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Study nutritional requirements of animals and nutritive values of animal feed materials.01
- Study effects of management practices, processing methods, feed, or environmental conditions on quality and quantity of animal products, such as eggs and milk.02
- Advise producers about improved products and techniques that could enhance their animal production efforts.03
- Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals.04
- Conduct research concerning animal nutrition, breeding, or management to improve products or processes.05
Where else this work leads
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
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Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
Methodology & sources
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
Confidence85/100
CalculatedAug 21, 2026
Read methodology →