AI Automation Index

Will AI Replace Refuse and Recyclable Material Collectors?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Refuse and Recyclable Material Collectors. Run the upskilling simulator.

E-E-A-T Verified
• Developed & audited by Gini Loh

AI Vulnerability

46% risk score

Median Salary

$49,690 / year

Growth Demand

High

Constituent Task Mix

We parsed O*NET's 14 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 93%
Low Automation Risk (Strategy/Leadership) 7%

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constituent Tasks

Inspect trucks prior to beginning routes to ensure safe operating condition.

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Drive trucks, following established routes, through residential streets or alleys or through business or industrial areas.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Refuel trucks or add other fluids, such as oil or brake fluid.

Semi-structured task combining routine and non-routine responsibilities.

Dump refuse or recyclable materials at disposal sites.

Semi-structured task combining routine and non-routine responsibilities.

Fill out defective equipment reports.

Semi-structured task combining routine and non-routine responsibilities.

Operate automated or semi-automated hoisting devices that raise refuse bins and dump contents into openings in truck bodies.

Semi-structured task combining routine and non-routine responsibilities.

Dismount garbage trucks to collect garbage and remount trucks to ride to the next collection point.

Semi-structured task combining routine and non-routine responsibilities.

Operate equipment that compresses collected refuse.

Semi-structured task combining routine and non-routine responsibilities.

Communicate with dispatchers concerning delays, unsafe sites, accidents, equipment breakdowns, or other maintenance problems.

Semi-structured task combining routine and non-routine responsibilities.

Check road or weather conditions to determine how routes will be affected.

Semi-structured task combining routine and non-routine responsibilities.

Clean trucks or compactor bodies after routes have been completed.

Semi-structured task combining routine and non-routine responsibilities.

Tag garbage or recycling containers to inform customers of problems, such as excess garbage or inclusion of items that are not permitted.

Semi-structured task combining routine and non-routine responsibilities.

Make special pickups of recyclable materials, such as food scraps, used oil, discarded computers, or other electronic items.

Semi-structured task combining routine and non-routine responsibilities.

Organize schedules for refuse collection.

Semi-structured task combining routine and non-routine responsibilities.

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Community Sentiment

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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