Refuse and Recyclable Material Collectors

With an automation risk score of 5%, Refuse and Recyclable Material Collectors has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Refuse and Recyclable Material Collectors is 5% (2025 data). Overall AI exposure is 8%, with 16% theoretical exposure and 4% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Refuse and Recyclable Material Collectors are: Sort recyclable materials (12%), Operate collection trucks and equipment (5%), Collect waste from residential and commercial areas (3%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +1% employment change for Refuse and Recyclable Material Collectors from 2024 to 2034. Combined with an overall AI exposure of 8%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Refuse and Recyclable Material Collectors should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.