Mathematicians

Computer & Mathematical

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

    0.424

    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

    0.56

    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, 8% 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 6 hidden tasks
TaskClaude.aiRaw / share %APIRaw / share %
Apply mathematical theories and techniques to the solution of practical problems in business, engineering, the sciences, or other fields.

15-2021

0.760077.60.330082.5
Mentor others on mathematical techniques.

15-2021

0.150015.3—0
Assemble sets of assumptions, and explore the consequences of each set.

15-2021

0.04004.10.040010.0
Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.

15-2021

0.01001.00.01002.5
Perform computations and apply methods of numerical analysis to data.

15-2021

0.01001.00.01002.5
Address the relationships of quantities, magnitudes, and forms through the use of numbers and symbols.

15-2021

0.01001.00.01002.5

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

Occupation information