The Task Exposure Indexv2026.Q3
Occupation · SOC 51-9161.00 · Job Zone 2

AI exposure: Computer Numerically Controlled Tool Operators

Operate computer-controlled tools, machines, or robots to machine or process parts, tools, or other work pieces made of metal, plastic, wood, stone, or other materials. May also set up and maintain equipment.

Reading this score

computed

At 22.9% of weighted task load, Computer Numerically Controlled Tool Operators sits at the 42th percentile, below the point where a job's centre of gravity has moved. 63.7% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.

What holds the line here is embodiment. Across this occupation's 27 tasks it averages 2.18 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.

The most exposed thing this job does is Calculate machine speed and feed ratios and the size and position of cuts, at 55.0%. The least is Lay out and mark areas of parts to be shot peened and fill hoppers with shot, at 0.0%. A gap of 55.0% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within production occupations, this one is more exposed than most. The median across the 107 roles in the group is 16.1%, and only 13 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.

What would move this score. Of 27 tasks, 14 are currently banded exposed, 1 assisted and 12 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability1.450-4
Embodiment2.180-3
Presence0.330-3
Accountability0.770-3
Context1.150-3
Verification cost1.140-3

Task by task

27 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Calculate machine speed and feed ratios and the size and position of cuts.55.0%20.0%25.0%4.54exposed
Transfer commands from servers to computer numerical control (CNC) modules, using computer network links.55.0%20.0%25.0%4.53exposed
Insert control instructions into machine control units to start operation.55.0%20.0%25.0%4.36exposed
Input initial part dimensions into machine control panels.55.0%20.0%25.0%4.15exposed
Enter commands or load control media, such as tapes, cards, or disks, into machine controllers to retrieve programmed instructions.55.0%20.0%25.0%4.16exposed
Implement changes to machine programs, and enter new specifications, using computers.39.6%22.9%37.5%4.55exposed
Control coolant systems.33.3%16.7%50.0%3.91exposed
Review program specifications or blueprints to determine and set machine operations and sequencing, finished workpiece dimensions, or numerical control sequences.30.0%20.0%50.0%4.61exposed
Monitor machine operation and control panel displays, and compare readings to specifications to detect malfunctions.30.0%20.0%50.0%4.40exposed
Set up and operate computer-controlled machines or robots to perform one or more machine functions on metal or plastic workpieces.26.7%23.3%50.0%4.68exposed
Listen to machines during operation to detect sounds such as those made by dull cutting tools or excessive vibration, and adjust machines to compensate for problems.26.7%23.3%50.0%4.55exposed
Modify cutting programs to account for problems encountered during operation, and save modified programs.26.7%23.3%50.0%4.28exposed
Write simple programs for computer-controlled machine tools.26.7%23.3%50.0%4.21exposed
Set up future jobs while machines are operating.26.7%23.3%50.0%4.09exposed
Confer with supervisors or programmers to resolve machine malfunctions or production errors or to obtain approval to continue production.23.3%26.7%50.0%4.00assisted
Adjust machine feed and speed, change cutting tools, or adjust machine controls when automatic programming is faulty or if machines malfunction.21.5%11.8%66.7%4.41untouched
Check to ensure that workpieces are properly lubricated and cooled during machine operation.15.0%10.0%75.0%4.45untouched
Examine electronic components for defects or completeness of laser-beam trimming, using microscopes.10.0%15.0%75.0%3.02untouched
Maintain machines and remove and replace broken or worn machine tools, using hand tools.5.2%3.1%91.7%4.37untouched
Measure dimensions of finished workpieces to ensure conformance to specifications, using precision measuring instruments, templates, and fixtures.0.0%0.0%100.0%4.76untouched
Mount, install, align, and secure tools, attachments, fixtures, and workpieces on machines, using hand tools and precision measuring instruments.0.0%0.0%100.0%4.63untouched
Stop machines to remove finished workpieces or to change tooling, setup, or workpiece placement, according to required machining sequences.0.0%0.0%100.0%4.56untouched
Remove and replace dull cutting tools.0.0%0.0%100.0%4.47untouched
Lift workpieces to machines manually or with hoists or cranes.0.0%0.0%100.0%4.19untouched
Stack or load finished items, or place items on conveyor systems.0.0%0.0%100.0%3.92untouched
Clean machines, tooling, or parts, using solvents or solutions and rags.0.0%0.0%100.0%3.82untouched
Lay out and mark areas of parts to be shot peened and fill hoppers with shot.0.0%0.0%100.0%3.48untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.

What this means in practice

Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.