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
Show 31 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Develop data models and databases.19-1029 | 0.101219.2 |
Develop new software applications or customize existing applications to meet specific scientific project needs.19-1029 | 0.090917.3 |
Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.19-1029 | 0.04759.0 |
Prepare reports, manuscripts, and meeting presentations.19-1029 | 0.03677.0 |
Create or use statistical models for the analysis of genetic data.19-1029 | 0.02855.4 |
Communicate research results through conference presentations, scientific publications, or project reports.19-1029 | 0.02765.3 |
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.19-1029 | 0.02214.2 |
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.19-1029 | 0.01783.4 |
Create or modify web-based bioinformatics tools.19-1029 | 0.01733.3 |
Collaborate with software developers in the development and modification of commercial bioinformatics software.19-1029 | 0.01512.9 |
Values 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 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page