Will AI replace Recycling Coordinators?
AI reaches a large part of this job’s work.
46/100
High exposure
More exposed to AI than 73% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 63% of the work
What the job involves
Supervise curbside and drop-off recycling programs for municipal governments or private firms.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(15)
- Maintain logs of recycling materials received or shipped to processing companies.
- Review customer requests for service to determine service needs and deploy appropriate resources to provide service.
- Create or manage recycling operations budgets.
- Assign truck drivers or recycling technicians to routes.
- Identify or investigate new opportunities for materials to be collected and recycled.
and 10 more
Out of reach(8)
- 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.
- Oversee recycling pick-up or drop-off programs to ensure compliance with community ordinances.
- Inspect physical condition of recycling or hazardous waste facility for compliance with safety, quality, and service standards.
- Oversee campaigns to promote recycling or waste reduction programs in communities or private companies.
and 3 more
Also called
Recycling Coordinator · Recycling Program Manager · Recycling Manager · Recycling Center Operator · Heavy Equipment Supervisor · Recycle Coordinator · Recycling Specialist · Route Supervisor
Related jobs
- First-Line Supervisors of Material-Moving Machine and Vehicle Operators31/100
- First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand35/100
- First-Line Supervisors of Mechanics, Installers, and Repairers29/100
- Recycling and Reclamation Workers2/100
- Refuse and Recyclable Material Collectors20/100
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics