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Transport & Logistics · Updated Aug 2026

Aircraft Cargo Handling Supervisors

Supervise and coordinate the activities of ground crew in the loading, unloading, securing, and staging of aircraft cargo or baggage. May determine the quantity and orientation of cargo and compute aircraft center of gravity. May accompany aircraft as member of flight crew and monitor and handle cargo in flight, and assist and brief passengers on safety and emergency procedures. Includes loadmasters.

JVS 2.0.0-phase4b
AI Exposure
62/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
41/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence80/100
Task coverage81%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Calculate load weights for different aircraft compartments, using charts and computers.High
67
Direct ground crews in the loading, unloading, securing, or staging of aircraft cargo or baggage.High
69
Determine the quantity and orientation of cargo, and compute an aircraft's center of gravity.High
68
Train new employees in areas such as safety procedures or equipment operation.High
66
Accompany aircraft as a member of the flight crew to monitor and handle cargo in flight.High
20
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Direct ground crews in the loading, unloading, securing, or staging of aircraft cargo or baggage.69
  2. Determine the quantity and orientation of cargo, and compute an aircraft's center of gravity.68
  3. Calculate load weights for different aircraft compartments, using charts and computers.67
  4. Train new employees in areas such as safety procedures or equipment operation.66
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Accompany aircraft as a member of the flight crew to monitor and handle cargo in flight.01
  2. Calculate load weights for different aircraft compartments, using charts and computers.02
  3. Direct ground crews in the loading, unloading, securing, or staging of aircraft cargo or baggage.03
  4. Determine the quantity and orientation of cargo, and compute an aircraft's center of gravity.04
  5. Train new employees in areas such as safety procedures or equipment operation.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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AI risk 42

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AI risk 50

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency87
Physical dependency72
Adoption pressure57
Labour-market resilience74
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence80/100
CalculatedAug 21, 2026
Read methodology →