Will AI take my job

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Will AI replace Paper Goods Machine Setters, Operators, and Tenders?

AI reaches little of this job’s work.

3/100

Low exposure

More exposed to AI than 9% of US workers.

AI already used in
0% of the work
As AI tools mature: up to
6% of the work

What the job involves

Set up, operate, or tend paper goods machines that perform a variety of functions, such as converting, sawing, corrugating, banding, wrapping, boxing, stitching, forming, or sealing paper or paperboard sheets into products.

Where AI reaches the work

The job’s main tasks, heaviest first, by how far AI reaches them.

Within reach(1)

  • Stamp products with information such as dates, using hand stamps or automatic stamping devices.

Out of reach(13)

  • Examine completed work to detect defects and verify conformance to work orders, and adjust machinery as necessary to correct production problems.
  • Observe operation of various machines to detect and correct machine malfunctions such as improper forming, glue flow, or pasteboard tension.
  • Start machines and move controls to regulate tension on pressure rolls, to synchronize speed of machine components, and to adjust temperatures of glue or paraffin.
  • Install attachments to machines for gluing, folding, printing, or cutting.
  • Disassemble machines to maintain, repair, or replace broken or worn parts, using hand or power tools.

and 8 more

Also called

Corrugator Operator · Folder Machine Operator · Paper Machine Operator · Bag Machine Operator · Box Machine Operator · Napkin Machine Operator · Paper Machine Tender · Rewinder Operator

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What these numbers mean

The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.

“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.

The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.

Sources

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