Robotics Engineers

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

    0.066

    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

    0.30

    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, 67% 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 181 hidden tasks
TaskClaude.aiRaw / share %
Analyze system performance or operational requirements.

17-2199

0.360534.9
Analyze, interpret, or create graphical representations of energy data, using engineering software.

17-2199

0.10239.9
Write reports or research proposals.

17-2199

0.04774.6
Create, populate, or maintain databases for tracking validation activities, test results, or validated systems.

17-2199

0.03183.1
Investigate characteristics such as cost, performance, or process capability of potential microelectromechanical systems (MEMS) device designs, using simulation or modeling software.

17-2199

0.03103.0
Conduct experimental or virtual studies to investigate characteristics and processing principles of potential microelectromechanical systems (MEMS) technology.

17-2199

0.02292.2
Write proposals to secure external funding or to partner with other companies.

17-2199

0.02102.0
Document design processes including objectives, issues, and outcomes.

17-2199

0.02022.0
Debug robotics programs.

17-2199

0.01721.7
Prepare technical reports, data summary documents, or research articles for scientific publication, regulatory submissions, or patent applications.

17-2199

0.01681.6

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

Occupation information