Geneticists

Life, Physical & Social Sciences

AI exposure

  • Data source: BLSPublished: 2026-08

    Very high· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.245

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.40

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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 35 hidden tasks
TaskClaude.aiRaw / share %
Develop new software applications or customize existing applications to meet specific scientific project needs.

19-1029

0.057515.8
Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.

19-1029

0.048313.3
Develop data models and databases.

19-1029

0.03499.6
Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.

19-1029

0.02928.0
Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.

19-1029

0.02055.6
Create or use statistical models for the analysis of genetic data.

19-1029

0.01764.8
Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.

19-1029

0.01754.8
Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.

19-1029

0.01724.7
Prepare reports, manuscripts, and meeting presentations.

19-1029

0.01093.0
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.

19-1029

0.00932.5

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

Occupation information