Will AI replace recycling coordinators?
Unlikely. Most of the work is hard for today's AI to speed up. Recycling Coordinators score 38 out of 100 (moderate exposure), #443 of 923 US jobs. AI could speed up 15 of the job's 23 tasks, 3 of them on its own, while 8 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which recycling coordinators tasks can AI do?
The most exposed tasks include "Maintain logs of recycling materials received or shipped to processing companies"; "Prepare bills of lading, statements of shipping records, or customer receipts related to recycling or hazardous material services"; "Prepare grant applications to fund recycling programs or program enhancements".
Which recycling coordinators tasks are hardest for AI?
Tasks with little or no AI speed-up include "Oversee recycling pick-up or drop-off programs to ensure compliance with community ordinances"; "Supervise recycling technicians, community service workers, or other recycling operations employees or volunteers"; "Provide training to recycling technicians or community service workers on topics such as safety, solid waste processing, or general recycling operations".
Are people already using AI for this work?
Yes. In April–May 2026, 2 of the 23 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as recycling coordinators, and what do they earn?
About 633,400 people in the US (figure for First-Line Supervisors of Transportation and Material Moving Workers), with median pay of $62,840 a year (BLS, May 2025).