Biologists, Botanists, Zoologists and Related Professionals

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 8 task statements that define Biologists, Botanists, Zoologists and Related Professionals (ISCO-08 2131) score an average of 0.40 on a 0–1 exposure scale — more exposed than about 77% of the 427 placed occupations. Roughly 100% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Gradient 2 band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 8 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Writing scientific papers and reports detailing research and any new findings which are then made available to the scientific community in scientific journals or at conferences for scrutiny and further debate;”

Scores 0.52 on the 2025 scale. Writing scientific papers and reports detailing research for the scientific community involves both automated and human-intensive elements. Generative AI excels in drafting and structuring documents, summarizing research findings, and organizing data, similar to its role in preparing technical and scientific documentation (e.g., scores ranging from 0.45 to 0.5 for preparing reports and publications). However, the task also requires critical thinking, nuanced interpretation, and originality that AI cannot fully replicate. The human component is essential for ensuring accuracy, providing unique insights, interpreting complex data, and adhering to ethical standards. Given the context of a high-income country like Poland, where technological infrastructure supports the use of AI tools, there is a moderate potential for AI assistance. The score of 0.48 reflects the combination of AI's capabilities in automating the more routine aspects of report writing and the irreplaceable role of human expertise in delivering contextually accurate and insightful scientific documents. This balanced score takes into account the high creative and analytical requirements of the task, aligning it with semantically similar tasks and acknowledging the need for human oversight and expertise.

Moving fastest, 2023 → 2025

“Designing and conducting experiments and tests;”

Model capability on this task changed by +0.27 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 2131, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• Medical Scientists, Except Epidemiologists
• Biological Scientists, All Other
• Bioinformatics Scientists
• Molecular and Cellular Biologists
• Geneticists
• Biologists
• Biochemists and Biophysicists
• Microbiologists

In context

Part of the 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Biologists, Botanists, Zoologists and Related Professionals sit at the 77th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Biologists, Botanists, Zoologists and Related Professionals rank in the 77th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 100% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.05 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Writing scientific papers and reports detailing research and any new findings which are then made available to the scientific community in scientific journals or at conferences for scrutiny and further debate;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Biologists, Botanists, Zoologists and Related Professionals". https://singulariki.com/gradient/2131-biologists-botanists-zoologists-and-related-professionals.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.