Prepare and sort materials or products for recycling. Identify and remove hazardous substances. Dismantle components of products such as appliances.
U.S. Workers
277,060
Median Salary
$38,820
10-Year Growth
+0.5%
Annual Openings
31,600
Typical entry: High school diploma or equivalent
18 of 18 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Operate shredders to reclaim steel from discarded appliances.
AI: Fully automatable - Operating industrial shredders is a routine, safety-monitored machine-control task that can be fully automated with sensors, PLCs, and remote control systems by 2025.
Deposit recoverable materials into chutes or place materials on conveyor belts.
AI: Fully automatable - Depositing materials into chutes or onto conveyor belts is a simple repetitive mechanical task that is readily fully automated with feeders and conveyors.
Operate balers to compress recyclable materials into bundles or bales.
AI: Fully automatable - Baler operation is a controlled industrial process (compress/compact cycles, sensors, interlocks) that can be fully automated and monitored by machines.
Sort metals to separate high-grade metals, such as copper, brass, and aluminum, for recycling.
AI: Fully automatable - Sensor-based sorters (eddy current, spectroscopy, vision) and robotic pickers can accurately separate high-grade metals like copper, brass, and aluminum at scale in modern recycling plants.
Record logs of recycled materials or waste chemicals removed from products.
AI: Fully automatable - Recording logs of materials and removed chemicals is an information task that can be fully automated using sensors, RFID/barcode systems, and integrated software.
Operate processing equipment, such as fiber-sorters and grinders, to sort, crush, or grind recyclable materials.
AI: Fully automatable - Operating processing equipment like fiber-sorters and grinders is a predictable, instrumented machinery operation that can be fully automated and controlled by AI and PLCs.
Collect and sort recyclable construction materials, such as concrete, drywall, plastics, or wood, into containers.
AI: Partial - Collecting and sorting varied construction materials requires robust perception and dexterous handling in unstructured environments, so AI/robots can partially automate it but not fully in most settings as of 2025.
Sort materials, such as metals, glass, wood, paper or plastics, into appropriate containers for recycling.
AI: Partial - Optical sorters, AI vision, and sensor systems can sort many recyclables but variability, contamination, and small-scale or mixed streams still require human intervention.
Extract chemicals from discarded appliances, such as air conditioners or refrigerators, using specialized machinery, such as refrigerant recovery equipment.
AI: Partial - Refrigerant and chemical extraction uses specialized recovery equipment that can be partly automated, but regulatory, safety, and variable connection/condition issues still require human technicians.
Clean recycling yard by sweeping, raking, picking up broken glass and loose paper debris, or moving barrels and bins.
AI: Partial - Some autonomous sweepers and robotic handlers exist, but outdoor yard cleanup, irregular debris pickup, and hazardous glass handling still need human flexibility and supervision.
Clean materials, such as metals, according to recycling requirements.
AI: Partial - Cleaning materials to meet recycling requirements can be automated for standard, high-throughput processes, but variable contamination and inspection needs mean only partial automation in many contexts.
Operate forklifts, pallet jacks, power lifts, or front-end loaders to load bales, bundles, or other heavy items onto trucks for shipping to smelters or other recycled materials processing facilities.
AI: Partial - Autonomous forklifts and material-handling robots can load standardized pallets and bales in controlled facilities, but complex outdoor loading, variable loads, and dynamic traffic often still require human operators.
Dismantle wrecked vehicles by removing parts and labeling and sorting parts into containers.
AI: Partial - Dismantling wrecked vehicles involves complex, variable disassembly and labeling that current AI-driven robotics can assist with but cannot fully replace across typical salvage scenarios by 2025.
Clean, inspect, or lubricate recyclable collection equipment or perform routine maintenance or minor repairs on recycling equipment, such as star gears, finger sorters, destoners, belts, and grinders.
AI: Partial - Condition monitoring, vision inspection, and automated lubrication can handle many routine tasks, but routine maintenance and minor repairs on varied equipment generally still require human dexterity and troubleshooting.
Cut discarded products, such as appliances and automobiles, into small pieces using saws, blow torches, or other hand or power tools.
AI: Partial - Cutting diverse discarded products with hand or power tools involves unpredictable geometries and hazardous conditions, so AI systems can partially automate it but not fully in most environments yet.
Collect recyclable materials from curbside for delivery to designated facilities.
AI: Partial - Autonomous collection systems and robotic arms can handle many curbside pickups in controlled contexts, but varied environments, access issues, and edge cases prevent full automation by 2025.
Operate automated refuse or manual recycling collection vehicles.
AI: Partial - AI can operate and assist automated refuse vehicles and provide operator aids for manual vehicles, but fully replacing human operators in all real-world conditions remains limited.
Remove copper from circuit boards.
AI: Partial - Industrial e‑waste processes and robotic sorting can extract copper at scale, yet fine manual separation or nonstandard boards still require human intervention in many settings.