Refuse and Recyclable Material Collectors
Transportation & Material MovingAI exposure
- Data source: BLSPublished: 2026-08
Low· 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
0.09
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, 100% 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 |
|---|---|
Fill out defective equipment reports.O*NET Task ID 7172 | 1.0 |
Communicate with dispatchers concerning delays, unsafe sites, accidents, equipment breakdowns, or other maintenance problems.O*NET Task ID 7178 | 1.0 |
Provide quotes for refuse collection contracts.O*NET Task ID 7184 | 1.0 |
Organize schedules for refuse collection.O*NET Task ID 7183 | 0.5 |
Inspect trucks prior to beginning routes to ensure safe operating condition.O*NET Task ID 7170 | 0.0 |
Refuel trucks or add other fluids, such as oil or brake fluid.O*NET Task ID 7171 | 0.0 |
Drive trucks, following established routes, through residential streets or alleys or through business or industrial areas.O*NET Task ID 7174 | 0.0 |
Operate equipment that compresses collected refuse.O*NET Task ID 7175 | 0.0 |
Operate automated or semi-automated hoisting devices that raise refuse bins and dump contents into openings in truck bodies.O*NET Task ID 7176 | 0.0 |
Dismount garbage trucks to collect garbage and remount trucks to ride to the next collection point.O*NET Task ID 7177 | 0.0 |
Check road or weather conditions to determine how routes will be affected.O*NET Task ID 7179 | 0.0 |
Tag garbage or recycling containers to inform customers of problems, such as excess garbage or inclusion of items that are not permitted.O*NET Task ID 7180 | 0.0 |
Clean trucks or compactor bodies after routes have been completed.O*NET Task ID 7181 | 0.0 |
Sort items set out for recycling and throw materials into designated truck compartments.O*NET Task ID 7182 | 0.0 |
Make special pickups of recyclable materials, such as food scraps, used oil, discarded computers, or other electronic items.O*NET Task ID 19932 | 0.0 |
Dump refuse or recyclable materials at disposal sites.O*NET Task ID 20313 | 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