Pest Control Workers
Food Preparation & 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
0.046
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.13
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, 97% 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 |
|---|---|
Record work activities performed.O*NET Task ID 7974 | 1.0 |
Measure area dimensions requiring treatment, calculate fumigant requirements, and estimate cost for service.O*NET Task ID 20760 | 1.0 |
Study preliminary reports or diagrams of infested area and determine treatment type required to eliminate and prevent recurrence of infestation.O*NET Task ID 7983 | 0.5 |
Recommend treatment and prevention methods for pest problems to clients.O*NET Task ID 20759 | 0.5 |
Inspect premises to identify infestation source and extent of damage to property, wall, or roof porosity and access to infested locations.O*NET Task ID 7975 | 0.0 |
Spray or dust chemical solutions, powders, or gases into rooms, onto clothing, furnishings, or wood, or over marshlands, ditches, or catch basins.O*NET Task ID 7976 | 0.0 |
Clean work site after completion of job.O*NET Task ID 7977 | 0.0 |
Direct, or assist other workers in, treatment or extermination processes to eliminate or control rodents, insects, or weeds.O*NET Task ID 7978 | 0.0 |
Drive truck equipped with power spraying equipment.O*NET Task ID 7979 | 0.0 |
Post warning signs and lock building doors to secure area to be fumigated.O*NET Task ID 7981 | 0.0 |
Cut or bore openings in building or surrounding concrete, access infested areas, insert nozzle, and inject pesticide to impregnate ground.O*NET Task ID 7982 | 0.0 |
Dig up and burn weeds, or spray them with herbicides.O*NET Task ID 7984 | 0.0 |
Set mechanical traps, or place poisonous paste or bait in sewers, burrows, or ditches.O*NET Task ID 7985 | 0.0 |
Clean and remove blockages from infested areas to facilitate spraying procedures and provide drainage, using brooms, mops, shovels, or rakes.O*NET Task ID 7986 | 0.0 |
Position and fasten edges of tarpaulins over building, and tape vents to ensure air-tight environment and to check for leaks.O*NET Task ID 7987 | 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