Operations Research Analysts

Computer & Mathematical

AI exposure

  • Data source: BLSPublished: '26.08

    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: '26.03

    0.429

    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: '25

    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 9 hidden tasks
TaskClaude.aiRaw / share %APIRaw / share %
Observe the current system in operation, and gather and analyze information about each of the component problems, using a variety of sources.

15-2031

0.090026.50.330033.0
Study and analyze information about alternative courses of action to determine which plan will offer the best outcomes.

15-2031

0.090026.50.160016.0
Formulate mathematical or simulation models of problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.

15-2031

0.050014.70.04004.0
Analyze information obtained from management to conceptualize and define operational problems.

15-2031

0.040011.80.200020.0
Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.

15-2031

0.040011.80.05005.0
Define data requirements, and gather and validate information, applying judgment and statistical tests.

15-2031

0.01002.90.200020.0
Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.

15-2031

0.01002.90.01001.0
Specify manipulative or computational methods to be applied to models.

15-2031

0.01002.90.01001.0

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

Occupation information

Recent Changes Affecting This Occupation

Mar 2026: New blog post analyzing AI impact on operations research analyst careers with 50% exposure and 32% automation risk.

[Source: AI Changing Work Blog]