53-7081.00
Refuse and Recyclable Material Collectors
Collect and dump refuse or recyclable materials from containers into truck. May drive truck.
The bots have your desk already — start pivoting
Top 9% most at-risk 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.
Refuse and recyclable material collectors drive collection vehicles and physically handle waste containers in residential and commercial settings where automated side-loader trucks have already reduced crew sizes significantly. Bulk item pickup, contamination sorting, and navigation of urban route complexity retain human operators. The 2025-2027 outlook is modestly negative; route optimization AI and automated truck technology continue, though fully autonomous waste collection in urban environments remains a future-decade prospect.
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 Refuse and Recyclable Material Collectors, consider pivoting toward these lower-risk roles:
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Refuse and Recyclable Material Collectors
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I just checked if I'm cooked as a Refuse and Recyclable Material Collectors 🤖 AI risk score: 9.0/10 — High Risk "Your job is so automatable, AI finished this analysis before you loaded the page." Check yours 👇 https://amicooked-five.vercel.app/results/53-7081.00 #AmICooked #AI #FutureOfWork
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You're more at risk than a Medical Scientists, Except Epidemiologists (score: 1.5). 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 →