Zoologists
United States · BLS Employment Projections 2024–34 (figures for SOC 19-1023 occupational group)
AI exposure in published research
Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.
Data provider: OpenAI · "GPTs are GPTs"
Time basis: 2023 baselineex-ante estimate
Scored against GPT-4-generation capability.
- Human rater basis
- 52.4%
- GPT-4 rater basis
- 45.2%
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
14 rated tasks · 10 tasks with β ≥ 0.5 (71.4%)
- Version:
- gh-main-0471612
- License:
- MIT License · Copyright (c) 2024 OpenAI
Data provider: Anthropic Economic Index
Time basis: Published 2026-03-05composite index
- Observed exposure
- 6.1%
Theoretical exposure index weighted by measured Claude usage, per the original report's definition.
12 tasks · usage observed in 1 · mean 8.3%
Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex
AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
- Version:
- hf-lmi-2026-03
- License:
- CC BY 4.0
- Observation period:
- — (not applicable to this release)
- Model:
- — (not stated by the source)
- Definition source:
- https://www.anthropic.com/research/labor-market-impacts
2023 prediction vs observation-based index published 2026-03-05
One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.
Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.
The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.
The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.
These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.
Task Breakdown
- Collect and analyze biological data on animal populations
- Conduct field studies and observe animal behavior in natural habitats
- Write research papers and grant proposals
- Use statistical software to model population dynamics
- Develop conservation plans for endangered species
About This Occupation
If you work as a Zoologist, AI is gradually changing your profession. With an automation risk of 24/100 and overall exposure at 35%, this role faces medium transformation. The highest-impact area is using statistical software to model population dynamics at 62% automation. This is classified as an 'augment' role where AI assists rather than replaces. BLS projects +5% growth through 2034. AI-powered image recognition and tracking tools are enhancing field research capabilities.
ISCO-08 classification
Biologists, Botanists, Zoologists and Related Professionals
Definition
ILO original text (English)
Biologists, botanists, zoologists and related professionals study living organisms and their interactions with each other and with the environment, and apply this knowledge to solve human health and environmental problems. They work in diverse fields such as botany, zoology, ecology, marine biology, genetics, immunology, pharmacology, toxicology, physiology, bacteriology and virology.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET19-1011.00
Animal Scientists
Conduct research in the genetics, nutrition, reproduction, growth, and development of domestic farm animals.
View original - ONET19-1012.00
Food Scientists and Technologists
Use chemistry, microbiology, engineering, and other sciences to study the principles underlying the processing and deterioration of foods; analyze food content to determine levels of vitamins, fat, sugar, and protein; discover new food sources; research ways to make processed foods safe, palatable, and healthful; and apply food science knowledge to determine best ways to process, package, preserve, store, and distribute food.
View original - ONET19-1021.00
Biochemists and Biophysicists
Study the chemical composition or physical principles of living cells and organisms, their electrical and mechanical energy, and related phenomena. May conduct research to further understanding of the complex chemical combinations and reactions involved in metabolism, reproduction, growth, and heredity. May determine the effects of foods, drugs, serums, hormones, and other substances on tissues and vital processes of living organisms.
View original - ONET19-1022.00
Microbiologists
Investigate the growth, structure, development, and other characteristics of microscopic organisms, such as bacteria, algae, or fungi. Includes medical microbiologists who study the relationship between organisms and disease or the effects of antibiotics on microorganisms.
View original - ONET19-1023.00
Zoologists and Wildlife Biologists
Study the origins, behavior, diseases, genetics, and life processes of animals and wildlife. May specialize in wildlife research and management. May collect and analyze biological data to determine the environmental effects of present and potential use of land and water habitats.
View original - ONET19-1029.01
Bioinformatics Scientists
Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.
View original - ONET19-1029.03
Geneticists
Research and study the inheritance of traits at the molecular, organism or population level. May evaluate or treat patients with genetic disorders.
View original - ONET19-1041.00
Epidemiologists
Investigate and describe the determinants and distribution of disease, disability, or health outcomes. May develop the means for prevention and control.
View original - ONET19-1042.00
Medical Scientists, Except Epidemiologists
Conduct research dealing with the understanding of human diseases and the improvement of human health. Engage in clinical investigation, research and development, or other related activities.
View original
Frequently Asked Questions
The Anthropic Economic Index puts observed exposure at 6.1%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 52.4% under human raters. Both figures are reproduced from published research without modification.
They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.
Recent Changes Affecting This Occupation
Mar 2026: Published evergreen blog post analyzing AI impact on zookeepers: 35% exposure, 24% automation risk.
[Source: AI Changing Work Blog]