Environmental Engineers

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

    0.036

    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

    0.38

    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, 48% 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 1 hidden task

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.

TaskβE1 + 0.5 × E2
Provide administrative support for projects by collecting data, providing project documentation, training staff, or performing other general administrative duties.

O*NET Task ID 1372

1.0
Prepare hazardous waste manifests or land disposal restriction notifications.

O*NET Task ID 1383

1.0
Write reports or articles for Web sites or newsletters related to environmental engineering issues.

O*NET Task ID 19626

1.0
Prepare, maintain, or revise quality assurance documentation or procedures.

O*NET Task ID 20197

1.0
Prepare, review, or update environmental investigation or recommendation reports.

O*NET Task ID 1366

0.5
Obtain, update, or maintain plans, permits, or standard operating procedures.

O*NET Task ID 1368

0.5
Provide technical support for environmental remediation or litigation projects, including remediation system design or determination of regulatory applicability.

O*NET Task ID 1369

0.5
Monitor progress of environmental improvement programs.

O*NET Task ID 1370

0.5
Inspect industrial or municipal facilities or programs to evaluate operational effectiveness or ensure compliance with environmental regulations.

O*NET Task ID 1371

0.5
Develop proposed project objectives and targets and report to management on progress in attaining them.

O*NET Task ID 1373

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information