Laborers and Freight, Stock, and Material Movers

With an automation risk score of 21%, Laborers and Freight, Stock, and Material Movers 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 Laborers and Freight, Stock, and Material Movers is 21% (2025 data). Overall AI exposure is 20%, with 34% theoretical exposure and 11% observed exposure. The risk trend from 2023 to 2025 is +9 points.

The tasks with the highest automation potential for Laborers and Freight, Stock, and Material Movers are: Track shipments and update inventory records (70%), Sort and organize inventory in warehouse (45%), Load and unload freight and materials (30%). 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 +6% employment change for Laborers and Freight, Stock, and Material Movers from 2024 to 2034. Combined with an overall AI exposure of 20%, 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 Laborers and Freight, Stock, and Material Movers 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.