Geneticists
Life, Physical & Social SciencesAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.245
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.40
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 39% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Exposed tasks onlyValues in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Write grants and papers or attend fundraising events to seek research funds.O*NET Task ID 16817 | 1.0 |
Design and maintain genetics computer databases.O*NET Task ID 16824 | 1.0 |
Confer with information technology specialists to develop computer applications for genetic data analysis.O*NET Task ID 16825 | 1.0 |
Maintain laboratory notebooks that record research methods, procedures, and results.O*NET Task ID 16832 | 1.0 |
Create or use statistical models for the analysis of genetic data.O*NET Task ID 16837 | 1.0 |
Plan curatorial programs for species collections that include acquisition, distribution, maintenance, or regeneration.O*NET Task ID 16819 | 0.5 |
Participate in the development of endangered species breeding programs or species survival plans.O*NET Task ID 16820 | 0.5 |
Instruct medical students, graduate students, or others in methods or procedures for diagnosis and management of genetic disorders.O*NET Task ID 16822 | 0.5 |
Evaluate, diagnose, or treat genetic diseases.O*NET Task ID 16823 | 0.5 |
Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses.O*NET Task ID 16826 | 0.5 |
Verify that cytogenetic, molecular genetic, and related equipment and instrumentation is maintained in working condition to ensure accuracy and quality of experimental results.O*NET Task ID 16818 | 0.0 |
Maintain laboratory safety programs and train personnel in laboratory safety techniques.O*NET Task ID 16821 | 0.0 |
Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis.O*NET Task ID 16833 | 0.0 |
Design sampling plans or coordinate the field collection of samples such as tissue specimens.O*NET Task ID 16836 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page