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AI exposure Production

Will AI replace rolling machine setters?

Rolling Machine Setters, Operators, and Tenders, Metal and Plastic. US occupation 51-4023.

The reading

0.0%

of the time rolling machine setters spend on their work goes on tasks where AI is already being used to do that work.of rolling machine setters' 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 rolling machine settersWhat rolling machine setters no longer do alone

O*NET lists 19 tasks for rolling machine setters. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

19 of the 19 tasks show no AI use at work in the data.

  • Activate shears and grinders to trim workpieces.Core task
  • Adjust and correct machine set-ups to reduce thicknesses, reshape products, and eliminate product defects.Core task
  • Calculate draft space and roll speed for each mill stand to plan rolling sequences and specified dimensions and tempers.Core task
  • Direct and train other workers to change rolls, operate mill equipment, remove coils and cobbles, and band and load material.Core task
  • Examine, inspect, and measure raw materials and finished products to verify conformance to specifications.Core task
  • Fill oil cups, adjust valves, and observe gauges to control flow of metal coolants and lubricants onto workpieces.Core task
Show the other 13
  • Install equipment such as guides, guards, gears, cooling equipment, and rolls, using hand tools.Core task
  • Manipulate controls and observe dial indicators to monitor, adjust, and regulate speeds of machine mechanisms.Core task
  • Monitor machine cycles and mill operation to detect jamming and to ensure that products conform to specifications.Core task
  • Position, align, and secure arbors, spindles, coils, mandrels, dies, and slitting knives.Core task
  • Read rolling orders, blueprints, and mill schedules to determine setup specifications, work sequences, product dimensions, and installation procedures.Core task
  • Record mill production on schedule sheets.Core task
  • Set distance points between rolls, guides, meters, and stops, according to specifications.Core task
  • Signal and assist other workers to remove and position equipment, fill hoppers, and feed materials into machines.Core task
  • Start operation of rolling and milling machines to flatten, temper, form, and reduce sheet metal sections and to produce steel strips.Core task
  • Disassemble sizing mills removed from rolling lines, and sort and store parts.
  • Remove scratches and polish roll surfaces, using polishing stones and electric buffers.
  • Select rolls, dies, roll stands, and chucks from data charts to form specified contours and to fabricate products.
  • Thread or feed sheets or rods through rolling mechanisms, or start and control mechanisms that automatically feed steel into rollers.

How that compares

Among the 98 production occupations, rolling machine setters rank 79. The group averages 0.8%, and its most exposed job is Computer Numerically Controlled Tool Programmers at 12.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Respiratory Therapists 0.0%
  2. 346Riggers 0.0%
  3. 346Rock Splitters, Quarry 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.