Will AI replace Animal Scientists?

Many of your tasks are within reach of AI. The role will change, so it pays to act now.

Task exposure to today's AI

60/100

High exposure

This is the occupation's typical task mix. Your own score can be up to 30 points higher or lower depending on how you work: routine share, people contact, judgment and how much you already use AI.

Get your personal score

Will AI replace Animal Scientists?

Not entirely. Today's AI tools can take on about 60% of the typical work in this occupation, mostly: write up or orally communicate research findings to the scientific community, producers, and the public. The parts that stay human include: Conduct research concerning animal nutrition, breeding, or management to improve products or processes.; Study nutritional requirements of animals and nutritive values of animal feed materials.; Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals..

People who learn to use AI for the automatable parts keep the edge. The 3-phase plan below shows where to start.

Which tasks AI can take on

The largest tasks in this occupation, their share of the working week, and how much of each today's AI tools can do.

TaskAutomatable

Write up or orally communicate research findings to the scientific community, producers, and the public. 75%

Study nutritional requirements of animals and nutritive values of animal feed materials. 65%

Advise producers about improved products and techniques that could enhance their animal production efforts. 62%

Study effects of management practices, processing methods, feed, or environmental conditions on quality and quantity of animal products, such as eggs and milk. 60%

Conduct research concerning animal nutrition, breeding, or management to improve products or processes. 57%

Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals. 47%

+ 3 more tasks (15% of the week) in the full test.

Your human edge

Conduct research concerning animal nutrition, breeding, or management to improve products or processes.
Study nutritional requirements of animals and nutritive values of animal feed materials.
Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals.

AI tools to try

ChatGPT / Claude for literature and writingAI research tools (e.g. Elicit, Consensus, Semantic Scholar)Copilot for data analysis code (Python, R)

Related roles

A 3-phase AI learning plan

Phase 1

Faster literature and writing

Literature search and summaries with AI, always checked against the papers.
Drafts of methods, reports and grant text.
Reference management and formatting.

Project

Use AI to screen 40 papers on a feed additive's effect on milk yield, verify every claim against the PDFs, and draft a 5-page producer-facing review in half your usual time.

Phase 2

AI for data analysis

Analysis code in Python or R written with AI help.
Visualisation and statistics explained step by step.
Reproducibility: version code and prompts.

Project

Rebuild one past feeding-trial analysis as an AI-assisted R or Python script with mixed models and publication-ready plots, version it in a repo with your prompts, and confirm it reproduces the original results.

Phase 3

AI as a research method

Classification, extraction or modelling with AI on your data.
Validate against human labels or ground truth.
Ethics, data protection and disclosure of AI use.

Project

Train or prompt an AI model to extract body-condition scores or ration data from 200 of your own farm records, validate against 50 hand-scored samples, and report accuracy plus an AI-use disclosure.

Take the free 11-question test