54
/100

SOC 53-7062

Laborers and Freight, Stock, and Material Movers, Hand

ElevatedFrey/Osborne: 85.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

2,982,530

Total workers

Median Wage

๐Ÿ’ฐ

$39K

$31K โ€“ $53K

Projected Growth

๐Ÿ“ˆ

+1.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

18/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Laborers and Freight, Stock, and Material Movers, Hand face a risk score of 54/100 โ€” 10 points above the national average of 44. With only 18/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $39K. The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 54/100, Laborers and Freight, Stock, and Material Movers, Hand faces moderate automation pressure. While tasks like drone delivery displacing last-mile logistics workers are increasingly handled by AI, the role retains significant human elements. The 2,982,530 workers in this occupation should focus on strengthening skills in manual loading of irregular and fragile cargo and navigating complex urban environments with obstacles to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Laborers and Freight, Stock, and Material Movers, Hand?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Drone delivery displacing last-mile logistics workers

2

AI traffic management and fleet coordination

3

Predictive maintenance reducing manual inspection needs

4

AI route optimization reducing dispatcher roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Manual loading of irregular and fragile cargo

โœ“

Navigating complex urban environments with obstacles

โœ“

Emergency situation response and quick decision-making

โœ“

Customer interaction and conflict resolution during delivery

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Maintain equipment storage areas to ensure that inventory is protected.

โ€ข

Read work orders or receive oral instructions to determine work assignments or material or equipment needs.

โ€ข

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.

โ€ข

Sort materials, such as metals, glass, wood, paper or plastics, into appropriate containers for recycling.

โ€ข

Clean recycling yard by sweeping, raking, picking up broken glass and loose paper debris, or moving barrels and bins.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Data base user interface and query software

โ€ข

Video conferencing software

โ€ข

Word processing software

โ€ข

Operating system software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Administration and Management

โ€ข

Public Safety and Security

โ€ข

Customer and Personal Service

๐Ÿ“Š vs National Average

Median Wage$39K
$-7K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure18/100
-20

National avg: 38/100

Projected Growth1.5%
-2.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K73%
Aircraft Cargo Handling Supervisors29$64K80%
Air Transportation Workers31$107K76%