53-1042.01
Recycling Coordinators
Supervise curbside and drop-off recycling programs for municipal governments or private firms.
This role faces substantial AI disruption
More at risk than 68% of occupations we track
Disruption Vector
Physical Robots
Physical robotics, autonomous machines, and automated equipment are the main threat to the physical tasks in this occupation.
Recycling coordinators develop and manage recycling programs for municipalities and organizations — a coordination and community education role requiring policy knowledge, vendor relationship management, and public engagement that AI tools can assist with but not replace. AI-assisted data analysis can track diversion rates and identify program gaps, while route optimization tools improve collection efficiency. Through 2027, growing recycling program complexity from EPR legislation and materials market changes keeps this role relevant, with AI functioning as an analytical support tool.
Salary & Job Outlook
AI Risk Timeline
Projection model: Based on current AI capability growth rates. High-risk occupations are projected to see compounding automation pressure, while human-centric roles show slower risk accumulation. These are statistical projections, not guarantees.
Skills Analysis — AI Vulnerability
Career Pivot Paths
If you're a Recycling Coordinators, consider pivoting toward these lower-risk roles:
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Recycling Coordinators
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I just checked if I'm cooked as a Recycling Coordinators 🤖 AI risk score: 7.0/10 — High Risk "You're not cooked yet, but someone's preheating the oven." Check yours 👇 https://amicooked-five.vercel.app/results/53-1042.01 #AmICooked #AI #FutureOfWork
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You're more at risk than a Security Management Specialists (score: 3.4). Maybe it's time to rethink.
This analysis is for informational purposes only and is based on statistical models and academic research. It does not constitute career advice and is not a guarantee of future employment outcomes. AI impact varies significantly by employer, region, and individual circumstances. Learn about our methodology →