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AI exposure Production

Will AI replace sawing machine setters?

Sawing Machine Setters, Operators, and Tenders, Wood. US occupation 51-7041.

0.0%

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

O*NET lists 22 tasks for sawing machine setters. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

22 of the 22 tasks show no AI use at work in the data.

  • Adjust saw blades, using wrenches and rulers, or by turning handwheels or pressing pedals, levers, or panel buttons.Core task
  • Clear machine jams, using hand tools.Core task
  • Guide workpieces against saws, saw over workpieces by hand, or operate automatic feeding devices to guide cuts.Core task
  • Inspect and measure workpieces to mark for cuts and to verify the accuracy of cuts, using rulers, squares, or caliper rules.Core task
  • Inspect stock for imperfections or to estimate grades or qualities of stock or workpieces.Core task
  • Lubricate or clean machines, using wrenches, grease guns, or solvents.Core task
Show the other 16
  • Monitor sawing machines, adjusting speed and tension and clearing jams to ensure proper operation.Core task
  • Mount and bolt sawing blades or attachments to machine shafts.Core task
  • Set up, operate, or tend saws or machines that cut or trim wood to specified dimensions, such as circular saws, band saws, multiple-blade sawing machines, scroll saws, ripsaws, or crozer machines.Core task
  • Sharpen blades, or replace defective or worn blades or bands, using hand tools.Core task
  • Adjust bolts, clamps, stops, guides, or table angles or heights, using hand tools.
  • Count, sort, or stack finished workpieces.
  • Cut grooves, bevels, or miters, saw curved or irregular designs, and sever or shape metals, according to specifications or work orders.
  • Dispose of waste material after completing work assignments.
  • Examine blueprints, drawings, work orders, or patterns to determine equipment set-up or selection details, procedures to be used, or dimensions of final products.
  • Examine logs or lumber to plan the best cuts.
  • Measure and mark stock for cuts.
  • Operate panelboards of saw or conveyor systems to move stock through processes or to cut stock to specified dimensions.
  • Position and clamp stock on tables, conveyors, or carriages, using hoists, guides, stops, dogs, wedges, or wrenches.
  • Select saw blades, types or grades of stock, or cutting procedures to be used, according to work orders or supervisors' instructions.
  • Trim lumber to straighten rough edges or remove defects, using circular saws.
  • Unclamp and remove finished workpieces from tables.

How that compares

Among the 98 production occupations, sawing machine setters rank 80. 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. 346Rotary Drill Operators, Oil and Gas 0.0%
  2. 346Roustabouts, Oil and Gas 0.0%
  3. 346Sailors and Marine Oilers 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.