AI exposure Production
Will AI replace milling and planing machine setters?
Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic. US occupation 51-4035.
The reading
0.0%
of the time milling and planing machine setters spend on their work goes on tasks where AI is already being used to do that work.of milling and planing 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.
Per cent of working time Square-law scale
Average US job 7.7%
Among the least exposed jobs there are.Still waiting for liberation.
What AI already does for milling and planing machine settersWhat milling and planing machine setters no longer do alone
O*NET lists 15 tasks for milling and planing machine setters. None of them shows meaningful AI use at work yet.
What it does not touch, yetWhat still needs a human
15 of the 15 tasks show no AI use at work in the data.
- Compute dimensions, tolerances, and angles of workpieces or machines according to specifications and knowledge of metal properties and shop mathematics.Core task
- Mount attachments and tools, such as pantographs, engravers, or routers, to perform other operations, such as drilling or boring.Core task
- Move controls to set cutting specifications, to position cutting tools and workpieces in relation to each other, and to start machines.Core task
- Move cutters or material manually or by turning handwheels, or engage automatic feeding mechanisms to mill workpieces to specifications.Core task
- Observe milling or planing machine operation, and adjust controls to ensure conformance with specified tolerances.Core task
- Position and secure workpieces on machines, using holding devices, measuring instruments, hand tools, and hoists.Core task
Show the other 9
- Record production output.Core task
- Remove workpieces from machines, and check to ensure that they conform to specifications, using measuring instruments such as microscopes, gauges, calipers, and micrometers.Core task
- Replace worn tools, using hand tools, and sharpen dull tools, using bench grinders.Core task
- Select and install cutting tools and other accessories according to specifications, using hand tools or power tools.Core task
- Select cutting speeds, feed rates, and depths of cuts, applying knowledge of metal properties and shop mathematics.Core task
- Study blueprints, layouts, sketches, or work orders to assess workpiece specifications and to determine tooling instructions, tools and materials needed, and sequences of operations.Core task
- Turn valves or pull levers to start and regulate the flow of coolant or lubricant to work areas.Core task
- Verify alignment of workpieces on machines, using measuring instruments such as rules, gauges, or calipers.Core task
- Make templates or cutting tools.
How that compares
Among the 98 production occupations, milling and planing machine setters rank 59. 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%.
Level with 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.