Fish and Game Wardens
Protective ServiceAI exposure
- Data source: BLSPublished: 2026-08
Moderate· relative
LowFour relative bandsVery highGroup-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
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.20
0.09Range of values carried here0.70Group-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.
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 22 hidden tasks| Task | Claude.aiRaw / share % |
|---|---|
Patrol assigned areas by car, boat, airplane, horse, or on foot to enforce game, fish, or boating laws or to manage wildlife programs, lakes, or land.33-3031 | 0.002359.0 |
Provide advice or information to park or reserve visitors.33-3031 | 0.001641.0 |
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.
| Task | βE1 + 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page