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AI exposure Transportation and material moving

Will AI replace aircraft cargo handling supervisors?

Aircraft Cargo Handling Supervisors. US occupation 53-1041.

0.0%

of the time aircraft cargo handling supervisors spend on their work goes on tasks where AI is already being used to do that work.of aircraft cargo handling supervisors' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for aircraft cargo handling supervisorsWhat aircraft cargo handling supervisors no longer do alone

O*NET lists 6 tasks for aircraft cargo handling supervisors. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

6 of the 6 tasks show no AI use at work in the data.

  • Determine the quantity and orientation of cargo, and compute an aircraft's center of gravity.Core task
  • Direct ground crews in the loading, unloading, securing, or staging of aircraft cargo or baggage.Core task
  • Distribute cargo to maximize use of space.Core task
  • Train new employees in areas such as safety procedures or equipment operation.Core task
  • Accompany aircraft as a member of the flight crew to monitor and handle cargo in flight.
  • Calculate load weights for different aircraft compartments, using charts and computers.

How that compares

Among the 44 transportation and material moving occupations, aircraft cargo handling supervisors rank 6. The group averages 0.6%, and its most exposed job is Passenger Attendants at 11.7%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Agricultural Inspectors 0.0%
  2. 346Agricultural Sciences Teachers, Postsecondary 0.0%
  3. 346Air Traffic Controllers 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.