29
/100

SOC 53-1041

Aircraft Cargo Handling Supervisors

ModerateFrey/Osborne: 6.6%

Risk Score

โš ๏ธ

29/100

Moderate

US Employment

๐Ÿ‘ฅ

10,160

Total workers

Median Wage

๐Ÿ’ฐ

$64K

$38K โ€“ $96K

Projected Growth

๐Ÿ“ˆ

+5.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Aircraft Cargo Handling Supervisors face a risk score of 29/100 โ€” 15 points below the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $64K ($18K above the national median). The 3 recommended career transitions offer lower AI risk while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of just 29/100, Aircraft Cargo Handling Supervisors is well-positioned against AI automation. Core responsibilities like manual loading of irregular and fragile cargo and emergency situation response and quick decision-making rely heavily on human judgment and interpersonal skills that AI cannot easily replicate. The 10,160 Americans in this role can expect continued demand, though they should still stay informed about AI tools that can enhance their productivity.

Will AI Replace Aircraft Cargo Handling Supervisors?

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

โš ๏ธ Top Risk Factors

1

Autonomous vehicle and self-driving truck technology

2

Predictive maintenance reducing manual inspection needs

3

Automated warehouse sorting and loading systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Manual loading of irregular and fragile cargo

โœ“

Emergency situation response and quick decision-making

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Navigating complex urban environments with obstacles

โœ“

Navigating unpredictable road and weather conditions

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

Determine the quantity and orientation of cargo, and compute an aircraft's center of gravity.

โ€ข

Direct ground crews in the loading, unloading, securing, or staging of aircraft cargo or baggage.

โ€ข

Train new employees in areas such as safety procedures or equipment operation.

โ€ข

Distribute cargo to maximize use of space.

โ€ข

Calculate load weights for different aircraft compartments, using charts and computers.

๐Ÿ’ป Technology Skills

โ€ข

Inventory management software

โ€ข

Office suite software

โ€ข

Web page creation and editing software

โ€ข

Spreadsheet software

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Public Safety and Security

โ€ข

Transportation

โ€ข

English Language

โ€ข

Administration and Management

๐Ÿ“Š vs National Average

Median Wage$64K
+$18K

National avg: $46K

Risk Score29/100
-15

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth5.2%
+1.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K73%
Electrical Power-Line Installers and Repairers28$93K67%
Ambulance Drivers and Attendants, Except Emergency Medical Technicians28$34K72%