Animal Welfare Inspectors
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
Exposed tasks onlyValues 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 |
|---|---|
Prepare for prosecutions related to animal treatment, and give evidence in court.O*NET Task ID 7965 | 1.0 |
Contact animal owners to inform them that their pets are at animal holding facilities.O*NET Task ID 7967 | 1.0 |
Write reports of activities, and maintain files of impoundments and dispositions of animals.O*NET Task ID 7968 | 1.0 |
Answer inquiries from the public concerning animal control operations.O*NET Task ID 7970 | 1.0 |
Investigate reports of animal attacks or animal cruelty, interviewing witnesses, collecting evidence, and writing reports.O*NET Task ID 7958 | 0.5 |
Educate the public about animal welfare, and animal control laws and regulations.O*NET Task ID 7966 | 0.5 |
Organize the adoption of unclaimed animals.O*NET Task ID 7972 | 0.5 |
Capture and remove stray, uncontrolled, or abused animals from undesirable conditions, using nets, nooses, or tranquilizer darts as necessary.O*NET Task ID 7959 | 0.0 |
Examine animals for injuries or malnutrition, and arrange for any necessary medical treatment.O*NET Task ID 7960 | 0.0 |
Remove captured animals from animal-control service vehicles and place animals in shelter cages or other enclosures.O*NET Task ID 7961 | 0.0 |
Euthanize rabid, unclaimed, or severely injured animals.O*NET Task ID 7962 | 0.0 |
Supply animals with food, water, and personal care.O*NET Task ID 7963 | 0.0 |
Clean facilities and equipment such as dog pens and animal control trucks.O*NET Task ID 7964 | 0.0 |
Issue warnings or citations in connection with animal-related offenses, or contact police to report violations and request arrests.O*NET Task ID 7969 | 0.0 |
Examine animal licenses, and inspect establishments housing animals for compliance with laws.O*NET Task ID 7971 | 0.0 |
Train police officers in dog handling and training techniques for tracking, crowd control, and narcotics and bomb detection.O*NET Task ID 7973 | 0.0 |
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