Fish and Game Wardens

Protective Service

AI exposure

  • Data source: BLSPublished: 2026-08

    Moderate· 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

    0.000

    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

    0.20

    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, 86% 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 13 hidden tasks

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
Address schools, civic groups, sporting clubs, or the media to disseminate information concerning wildlife conservation and regulations.

O*NET Task ID 7922

1.0
Issue warnings or citations and file reports as necessary.

O*NET Task ID 20584

1.0
Recommend revisions in hunting and trapping regulations or in animal management programs so that wildlife balances or habitats can be maintained.

O*NET Task ID 7923

0.5
Collect and report information on populations or conditions of fish and wildlife in their habitats, availability of game food or cover, or suspected pollution.

O*NET Task ID 7925

0.5
Survey areas and compile figures of bag counts of hunters to determine the effectiveness of control measures.

O*NET Task ID 7926

0.5
Investigate crop, property, or habitat damage or destruction or instances of water pollution to determine causes and to advise property owners of preventive measures.

O*NET Task ID 7928

0.5
Design or implement control measures to prevent or counteract damage caused by wildlife or people.

O*NET Task ID 7929

0.5
Document the extent of crop, property, or habitat damage and make financial loss estimates or compensation recommendations.

O*NET Task ID 7930

0.5
Issue licenses, permits, or other documentation.

O*NET Task ID 7932

0.5
Provide advice or information to park or reserve visitors.

O*NET Task ID 7933

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