Laborers and Freight, Stock, and Material Movers, Hand
SOC: 53-7062.00 · Job Zone: 2
Key Takeaways
- ●AI Impact Score: 49/100 — Partial Automation Likely. Partial automation is likely for key tasks in this occupation.
- ●3.0M workers currently employed.
- ●Mean annual wage: $38,940.
- ●4 of 13 key tasks can already be performed by AI tools today.
What Laborers and Freight, Stock, and Material Movers, Hand Do
Manually move freight, stock, luggage, or other materials, or perform other general labor. Includes all manual laborers not elsewhere classified.
Also known as
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AI Impact Analysis
The State of Material Moving Labor
With 2.98 million workers earning a mean annual wage of $38,940, Laborers and Freight, Stock, and Material Movers represent one of America's largest blue-collar workforces. This Job Zone 2 occupation requires minimal formal education but demands physical coordination, active listening, and operational monitoring skills. The manual nature of moving freight, stock, and materials has historically insulated these roles from technological disruption.
AI Automation of Core Tasks
AI is systematically automating the cognitive and planning aspects of material moving work. Reading work orders and determining assignments now leverages GPT-4 and Claude for natural language processing of complex instructions. Recording units handled and tracking inventory utilizes UiPath RPA bots that integrate with SAP and Oracle databases automatically. Sorting cargo before loading employs computer vision systems like Amazon's Rekognition to classify items faster than human workers. Attaching identifying tags and marking containers uses automated labeling systems powered by machine learning algorithms that optimize placement and readability.
Human-Essential Physical Tasks
The physical manipulation tasks remain firmly in human hands due to technological limitations. Installing protective devices like bracing and strapping requires tactile feedback and spatial reasoning that current robotics cannot match reliably. Moving freight by hand to awkward spaces demands human flexibility and problem-solving. Adjusting controls to guide cranes and equipment needs real-time decision-making in unpredictable environments. Assembling containers using hand tools requires dexterity and adaptability that exceeds current robotic capabilities.
Timeline and Trajectory
In the next 1-3 years, expect widespread deployment of AI-powered inventory management and work order systems, reducing administrative overhead by 40-60%. The 3-5 year horizon brings advanced warehouse robotics that handle routine material movement, while humans focus on exception handling and complex manual tasks. Our 49/100 AI Impact Score reflects this partial automation reality—significant productivity gains through AI augmentation without wholesale job replacement.
Corporate Automation Initiatives
Amazon has deployed 520,000 robotic units across fulfillment centers, with AI systems directing both robots and human workers through optimized workflows. Walmart uses AI-powered inventory robots that work alongside human material movers, scanning shelves and updating stock levels in real-time. FedEx and UPS leverage machine learning algorithms to optimize package sorting and routing, reducing the cognitive load on human workers while maintaining their essential physical roles.
Task-by-Task AI Analysis
| Task | AI Status |
|---|---|
Install protective devices, such as bracing, padding, or strapping, to prevent shifting or damage to items being transported. Requires tactile feedback, spatial reasoning, and adaptability to unique cargo shapes that current robotics cannot reliably handle. | Human Essential 5+ years |
Maintain equipment storage areas to ensure that inventory is protected. AI monitors environmental conditions and alerts humans to issues, but physical maintenance requires human intervention. | AI Assists Now |
Sort cargo before loading and unloading. Computer vision systems can classify and direct sorting of standardized cargo faster than humans. | AI Can Do This 1-2 years |
Attach identifying tags to containers or mark them with identifying information. Robotic systems with ML optimization can place labels more consistently and efficiently than manual processes. | AI Can Do This Now |
Read work orders or receive oral instructions to determine work assignments or material or equipment needs. Natural language processing can interpret complex instructions and generate optimized work assignments. | AI Can Do This Now |
Move freight, stock, or other materials to and from storage or production areas, loading docks, delivery vehicles, ships, or containers, by hand or using trucks, tractors, or other equipment. AI optimizes routes and coordinates with robots, but human flexibility needed for complex moves and exceptions. | AI Assists 1-2 years |
Record numbers of units handled or moved, using daily production sheets or work tickets. Robotic process automation can automatically capture and record movement data without human input. | AI Can Do This Now |
Attach slings, hooks, or other devices to lift cargo and guide loads. Requires precise manual dexterity and real-time safety assessment that exceeds current robotic capabilities. | Human Essential 5+ years |
Carry needed tools or supplies from storage or trucks and return them after use. Robots can handle routine tool transport, but humans needed for tool selection and complex retrieval. | AI Assists 1-2 years |
Pack containers and re-pack damaged containers. Damage assessment and adaptive packing strategies require human judgment and manual dexterity. | Human Essential 3-5 years |
Assemble product containers or crates, using hand tools and precut lumber. Complex assembly with hand tools requires dexterity and problem-solving beyond current robotic capabilities. | Human Essential 5+ years |
Adjust controls to guide, position, or move equipment, such as cranes, booms, or cameras. AI can provide guidance and optimization, but human oversight essential for safety-critical equipment operation. | AI Assists 1-2 years |
Connect electrical equipment to power sources so that it can be tested before use. Electrical connections require safety awareness and manual precision that current automation cannot reliably provide. | Human Essential 5+ years |
AI Tools Disrupting Laborers and Freight, Stock, and Material Movers, Hand
Key Skills
Key Tasks
- •Install protective devices, such as bracing, padding, or strapping, to prevent shifting or damage to items being transported.
- •Maintain equipment storage areas to ensure that inventory is protected.
- •Sort cargo before loading and unloading.
- •Attach identifying tags to containers or mark them with identifying information.
- •Read work orders or receive oral instructions to determine work assignments or material or equipment needs.
- •Move freight, stock, or other materials to and from storage or production areas, loading docks, delivery vehicles, ships, or containers, by hand or using trucks, tractors, or other equipment.
- •Record numbers of units handled or moved, using daily production sheets or work tickets.
- •Attach slings, hooks, or other devices to lift cargo and guide loads.
- •Carry needed tools or supplies from storage or trucks and return them after use.
- •Pack containers and re-pack damaged containers.
- •Assemble product containers or crates, using hand tools and precut lumber.
- •Adjust controls to guide, position, or move equipment, such as cranes, booms, or cameras.
Technology Skills Used
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Salary Range
Career Transition Guidance
Strategic Career Transitions
Workers in material moving roles have strong transferable skills for advancing to Industrial Truck and Tractor Operators or Machine Feeders and Offbearers, which leverage existing coordination and operational monitoring abilities. The physical stamina and equipment familiarity translate well to Conveyor Operators and Tenders or Hoist and Winch Operators, roles that offer higher complexity and wages while remaining in familiar industrial environments.
Skill Development and Timeline
Transitioning to Packaging and Filling Machine Operators and Tenders requires 6-12 months of technical training but builds on existing operational control skills (importance: 2.62/5). Moving into supervisory roles like Helpers--Production Workers leverages the training and teaching abilities (importance: 3.66/5) already developed. Workers should focus on developing critical thinking and judgment skills while pursuing certifications in equipment operation, safety protocols, or logistics management to position themselves for roles that complement rather than compete with AI automation.
Related Occupations
Frequently Asked Questions
Will AI replace Laborers and Freight, Stock, and Material Movers, Hand?
AI will not fully replace this occupation but will significantly transform it. With an AI Impact Score of 49/100, approximately half of current tasks face automation within 5-10 years, while physical manipulation and safety-critical tasks remain human-essential. The 2.98 million workers in this field will see their roles evolve toward more complex problem-solving and exception handling.
What AI tools are used in Laborers and Freight, Stock, and Material Movers, Hand roles?
Current AI tools include GPT-4 for work order interpretation, UiPath RPA for inventory recording, Amazon Rekognition for cargo sorting, and IoT sensors with AI analytics for equipment monitoring. Workers also use Microsoft Excel, SAP software, and Oracle databases enhanced with AI capabilities for tracking and coordination.
What is the salary outlook for Laborers and Freight, Stock, and Material Movers, Hand with AI?
The current mean annual wage of $38,940 may see upward pressure as AI eliminates routine tasks and workers focus on higher-value activities requiring human judgment. However, overall employment growth projections are not available, suggesting potential workforce consolidation as productivity increases through AI augmentation.
What skills should Laborers and Freight, Stock, and Material Movers, Hand develop for the AI era?
Focus on developing coordination (importance: 3/5), critical thinking (2.5/5), and social perceptiveness (2.38/5) skills that AI cannot replicate. Equipment operation, safety protocols, and problem-solving abilities will become increasingly valuable as AI handles routine cognitive tasks.
How many Laborers and Freight, Stock, and Material Movers, Hand jobs are there in the US?
There are currently 2,982,530 workers in this occupation, making it one of the largest blue-collar job categories in America. While specific projected change data is not available, the large workforce size suggests significant impact from AI automation across the logistics and warehousing sectors.