Share and intensity of work current AI systems can materially affect.
SOC 51-9161
Computer Numerically Controlled Tool Operators AI displacement risk
CNC operators work alongside the automation itself: loading workpieces, monitoring runs, listening for tool wear, and adjusting feeds. Lights-out machining absorbs pure button-pushing, while setup judgment, quality checks, and malfunction response stay human.
Likely potential for exposed tasks to move to software after workflow integration.
Unlike setup machinists who program and prove out jobs, operators tend running machines — the more standardized that work is, the more cells run unattended. Operators who learn setup and programming move up and out of the exposed tier.
Distribution
Where Computer Numerically Controlled Tool Operators sits across 620 tracked roles
Displacement pressure 48 — higher than 78% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
27 O*NET task statements matched to SOC 51-9161. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $50,690 (May 2025, US national). The latest BLS row matched SOC 51-9161.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Computer Numerically Controlled Tool Operators
SOC 51-9161 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 48/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Computer Numerically Controlled Tool Operators
The current evidence import matched 27 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks27
SOC51-9161
- Core task / ID 11932
Measure dimensions of finished workpieces to ensure conformance to specifications, using precision measuring instruments, templates, and fixtures.
- Core task / ID 11944
Set up and operate computer-controlled machines or robots to perform one or more machine functions on metal or plastic workpieces.
- Core task / ID 11934
Mount, install, align, and secure tools, attachments, fixtures, and workpieces on machines, using hand tools and precision measuring instruments.
- Core task / ID 11946
Review program specifications or blueprints to determine and set machine operations and sequencing, finished workpiece dimensions, or numerical control sequences.
- Core task / ID 11937
Stop machines to remove finished workpieces or to change tooling, setup, or workpiece placement, according to required machining sequences.
- Core task / ID 11935
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.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Set up and operate CNC machines
Exposure 48, automation 36%, augmentation 32%.
O*NET evidence: Set up and operate computer-controlled machines or robots to perform one or more machin... (ID 11944)
Monitor machine operation and displays
Exposure 62, automation 48%, augmentation 34%.
O*NET evidence: Monitor machine operation and control panel displays, and compare readings to specifica... (ID 11947)
Measure finished workpieces
Exposure 54, automation 36%, augmentation 44%.
O*NET evidence: Measure dimensions of finished workpieces to ensure conformance to specifications, usin... (ID 11932)
Adjust programs and tooling
Exposure 44, automation 26%, augmentation 52%.
O*NET evidence: Listen to machines during operation to detect sounds such as those made by dull cutting... (ID 11935)
TaskExposureAutomationAugmentation
Set up and operate CNC machines4836%32%
Monitor machine operation and displays6248%34%
Measure finished workpieces5436%44%
Adjust programs and tooling4426%52%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
ModerateCNC Setup Machinist
Training horizon: 6-12 months. Skill overlap 74. Wage preservation signal 114.
- Learn job setup and prove-out
- Study blueprint tolerancing
- Practice first-article inspection
adjacent role
ModerateCNC Programmer
Training horizon: 6-12 months. Skill overlap 60. Wage preservation signal 130.
- Learn CAM programming
- Optimize tool paths
- Document machining strategies
Comparison guides
Compare the next move before you commit
6-12 months
Computer Numerically Controlled Tool Operators to CNC Setup Machinist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Computer Numerically Controlled Tool Operators into CNC Setup Machinist.
6-12 months
Computer Numerically Controlled Tool Operators to CNC Programmer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Computer Numerically Controlled Tool Operators into CNC Programmer.
What the AI risk score means for Computer Numerically Controlled Tool Operators
The displacement pressure score for Computer Numerically Controlled Tool Operators is 48. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Monitor machine operation and displays carries 48% automation pressure, while Adjust programs and tooling carries 52% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $50,690 (May 2025, US national). Employment context: Machine-tending role inside automated manufacturing. Typical education: High school diploma plus on-the-job training.
Wage vulnerability is 52, while transition feasibility is 66. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate displacement pressure
- Lights-out cells absorb pure tending
- Setup skills open the machinist path
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Computer Numerically Controlled Tool Operators, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Machine setup
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Precision measurement
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Program adjustment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Tool wear judgment
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to CNC Setup Machinist, such as learn job setup and prove-out.
- By 90 days, compare internal openings and external postings for CNC Setup Machinist or CNC Programmer and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Computer Numerically Controlled Tool Operators
Will AI replace Computer Numerically Controlled Tool Operators?
CNC operators work alongside the automation itself: loading workpieces, monitoring runs, listening for tool wear, and adjusting feeds. Lights-out machining absorbs pure button-pushing, while setup judgment, quality checks, and malfunction response stay human. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Computer Numerically Controlled Tool Operators work are most exposed to AI?
Monitor machine operation and displays and Set up and operate CNC machines show the strongest automation pressure in this model. Adjust programs and tooling and Measure finished workpieces are better treated as AI-augmented work.
What should Computer Numerically Controlled Tool Operators learn next?
Start with Machine setup, Precision measurement, Program adjustment. The most practical adjacent paths in this model are CNC Setup Machinist and CNC Programmer.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics