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AI exposure Transportation and material moving

Will AI replace machine feeders and offbearers?

Machine Feeders and Offbearers. US occupation 53-7063.

0.0%

of the time machine feeders and offbearers spend on their work goes on tasks where AI is already being used to do that work.of machine feeders and offbearers' 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 machine feeders and offbearersWhat machine feeders and offbearers no longer do alone

O*NET lists 13 tasks for machine feeders and offbearers. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

13 of the 13 tasks show no AI use at work in the data.

  • Clean and maintain machinery, equipment, and work areas to ensure proper functioning and safe working conditions.Core task
  • Fasten, package, or stack materials and products, using hand tools and fastening equipment.Core task
  • Identify and mark materials, products, and samples, following instructions.Core task
  • Inspect materials and products for defects, and to ensure conformance to specifications.Core task
  • Load materials and products into machines and equipment, or onto conveyors, using hand tools and moving devices.Core task
  • Push dual control buttons and move controls to start, stop, or adjust machinery and equipment.Core task
Show the other 7
  • Record production and operational data, such as amount of materials processed.Core task
  • Transfer materials and products to and from machinery and equipment, using industrial trucks or hand trucks.Core task
  • Weigh or measure materials or products to ensure conformance to specifications.Core task
  • Add chemicals, solutions, or ingredients to machines or equipment as required by the manufacturing process.
  • Open and close gates of belt and pneumatic conveyors on machines that are fed directly from preceding machines.
  • Remove materials and products from machines and equipment, and place them in boxes, trucks or conveyors, using hand tools and moving devices.
  • Shovel or scoop materials into containers, machines, or equipment for processing, storage, or transport.

How that compares

Among the 44 transportation and material moving occupations, machine feeders and offbearers rank 26. 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. 346Locomotive Engineers 0.0%
  2. 346Log Graders and Scalers 0.0%
  3. 346Logging Equipment Operators 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.