As of June 2026, Aircraft Cargo Handling Supervisors has an AI-exposure score of 65/100 (High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Aircraft Cargo Handling Supervisors

65/100
High exposure
LowModerateElevatedHighVery High

More exposed than 82% of the roles we track. Median pay ~US$58,170. About 1,100 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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Data sources, not endorsements: O*NET task data, BLS employment/pay/demand, and Anthropic Economic Index signals.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

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.

Common titles
Cargo SupervisorLine Service Supervisor (LSS)LoadmasterRamp SupervisorGround Operations SupervisorRamp and Cargo Supervisor
Typical preparation
Some Preparation Needed: These occupations usually require a high school diploma. Some previous work-related skill, knowledge, or experience is usually needed. For example, a teller would benefit from experience working directly with the public.
Skills and knowledge
Critical ThinkingManagement of Personnel ResourcesMonitoringSpeakingTime ManagementCoordination
Tools and technology
FacebookMicrosoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft WordCargo tracking system software
Work context
Email useTelephoneFace-to-face discussionsFrequent contact with othersDecision latitude

Source: O*NET 29.1 exact occupation - Aircraft Cargo Handling Supervisors, SOC 53-1041.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Aircraft Cargo Handling Supervisors tasks, by AI exposure

Automatable
  • Determine the quantity and orientation of cargo, and compute an aircraft's center of gravity.
  • Calculate load weights for different aircraft compartments, using charts and computers.
  • Train new employees in areas such as safety procedures or equipment operation.
1 more automatable task locked in the report.
Augmentable
  • Direct ground crews in the loading, unloading, securing, or staging of aircraft cargo or baggage.
  • Distribute cargo to maximize use of space.
Action steps for this augmentable task locked in the report.
Durable

No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (67%).

We analyzed all 6 Aircraft Cargo Handling Supervisors tasks — 4 automatable and 2 augmentable. The full task map — every task with exactly what to do about each — is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Safer role shortlist

5-10 adjacent roles with salary, demand, and reachability.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET + the Anthropic Economic Index + BLS — not generic ChatGPT advice.

Safer adjacent roles

7 more safer roles with salary, demand & a reachability map — in your Career Report.
AI-augmentation kit (prompt preview) You are my AI copilot for "Determine the quantity and orientation of cargo, and compute an aircraft's center of gravity.". I'll paste the inputs; draft the first version and flag exactly what needs my judgment, then iterate until…
The full, copy-paste-ready prompt — one per exposed task — is in your Career Report.

Your AI-Safe Career Report

Every task scored with what to do about it · 5–10 safer roles with salary, demand & reachability · skill-gap map · a 30/60/90-day roadmap · plus a résumé & LinkedIn rewrite · PDF.
Grounded in O*NET + the Anthropic Economic Index + BLS — personalized to your role.

AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.