Will AI replace refuse and recyclable material collectors?
Unlikely. Most of the work is hard for today's AI to speed up. Refuse and Recyclable Material Collectors score 20 out of 100 (moderate exposure), #640 of 923 US jobs. AI could speed up 4 of the job's 16 tasks, 3 of them on its own, while 12 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which refuse and recyclable material collectors tasks can AI do?
The most exposed tasks include "Fill out defective equipment reports"; "Communicate with dispatchers concerning delays, unsafe sites, accidents, equipment breakdowns, or other maintenance problems"; "Provide quotes for refuse collection contracts".
Which refuse and recyclable material collectors tasks are hardest for AI?
Tasks with little or no AI speed-up include "Operate automated or semi-automated hoisting devices that raise refuse bins and dump contents into openings in truck bodies"; "Inspect trucks prior to beginning routes to ensure safe operating condition"; "Drive trucks, following established routes, through residential streets or alleys or through business or industrial areas".
Are people already using AI for this work?
Yes. In April–May 2026, 1 of the 16 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as refuse and recyclable material collectors, and what do they earn?
About 147,240 people in the US, with median pay of $49,690 a year (BLS, May 2025).