Share and intensity of work current AI systems can materially affect.
SOC 51-9162
Computer Numerically Controlled Tool Programmers AI displacement risk
CAM software with AI assistance now generates toolpaths from models, compressing routine programming hours. Prove-out judgment, tolerance strategy, and shop-floor problem solving keep programmers accountable for what the machine actually cuts.
Likely potential for exposed tasks to move to software after workflow integration.
Unlike operators who tend running machines, programmers decide how parts get made — and AI-generated toolpaths still need verification against real machines, materials, and tolerances. The role is augmenting upward, not disappearing.
Distribution
Where Computer Numerically Controlled Tool Programmers sits across 620 tracked roles
Displacement pressure 40 — higher than 67% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
16 O*NET task statements matched to SOC 51-9162. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $68,120 (May 2025, US national). The latest BLS row matched SOC 51-9162.
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 Programmers
SOC 51-9162 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 40/100 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 Programmers
The current evidence import matched 16 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 tasks16
SOC51-9162
- Core task / ID 11959
Determine the sequence of machine operations, and select the proper cutting tools needed to machine workpieces into the desired shapes.
- Core task / ID 11961
Analyze job orders, drawings, blueprints, specifications, printed circuit board pattern films, and design data to calculate dimensions, tool selection, machine speeds, and feed rates.
- Core task / ID 11963
Observe machines on trial runs or conduct computer simulations to ensure that programs and machinery will function properly and produce items that meet specifications.
- Core task / ID 11966
Write programs in the language of a machine's controller and store programs on media, such as punch tapes, magnetic tapes, or disks.
- Core task / ID 11962
Determine reference points, machine cutting paths, or hole locations, and compute angular and linear dimensions, radii, and curvatures.
- Core task / ID 11968
Enter computer commands to store or retrieve parts patterns, graphic displays, or programs that transfer data to other media.
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
Write machine control programs
Exposure 62, automation 40%, augmentation 74%.
O*NET evidence: Write instruction sheets and cutter lists for a machine's controller to guide setup and... (ID 11970)
Analyze drawings and calculate dimensions
Exposure 56, automation 32%, augmentation 68%.
O*NET evidence: Analyze job orders, drawings, blueprints, specifications, printed circuit board pattern... (ID 11961)
Test programs through simulations and trial runs
Exposure 44, automation 24%, augmentation 62%.
O*NET evidence: Observe machines on trial runs or conduct computer simulations to ensure that programs ... (ID 11963)
Revise programs to eliminate errors
Exposure 48, automation 27%, augmentation 66%.
O*NET evidence: Revise programs or tapes to eliminate errors, and retest programs to check that problem... (ID 11960)
TaskExposureAutomationAugmentation
Write machine control programs6240%74%
Analyze drawings and calculate dimensions5632%68%
Test programs through simulations and trial runs4424%62%
Revise programs to eliminate errors4827%66%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
ModerateManufacturing Engineer
Training horizon: 12-24 months. Skill overlap 62. Wage preservation signal 134.
- Complete engineering coursework
- Learn process planning
- Own production documentation
role redesign
ModerateCAM Automation Lead
Training horizon: 3-6 months. Skill overlap 72. Wage preservation signal 116.
- Build machining templates
- Validate AI-generated toolpaths
- Standardize programming practices
Comparison guides
Compare the next move before you commit
12-24 months
Computer Numerically Controlled Tool Programmers to Manufacturing Engineer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Computer Numerically Controlled Tool Programmers into Manufacturing Engineer.
3-6 months
Computer Numerically Controlled Tool Programmers to CAM Automation Lead
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Computer Numerically Controlled Tool Programmers into CAM Automation Lead.
What the AI risk score means for Computer Numerically Controlled Tool Programmers
The displacement pressure score for Computer Numerically Controlled Tool Programmers is 40. 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. Write machine control programs carries 40% automation pressure, while Write machine control programs carries 74% 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: $68,120 (May 2025, US national). Employment context: Manufacturing programming role with AI toolpath assistance. Typical education: Associate degree or extensive machining experience.
Wage vulnerability is 40, while transition feasibility is 70. 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
- AI toolpath generation is real
- Prove-out accountability stays human
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 Programmers, 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.
CAM programming
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.
Tolerance analysis
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.
Machine knowledge
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.
AI toolpath review
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 Manufacturing Engineer, such as complete engineering coursework.
- By 90 days, compare internal openings and external postings for Manufacturing Engineer or CAM Automation Lead and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Computer Numerically Controlled Tool Programmers
Will AI replace Computer Numerically Controlled Tool Programmers?
CAM software with AI assistance now generates toolpaths from models, compressing routine programming hours. Prove-out judgment, tolerance strategy, and shop-floor problem solving keep programmers accountable for what the machine actually cuts. 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 Programmers work are most exposed to AI?
Write machine control programs and Analyze drawings and calculate dimensions show the strongest automation pressure in this model. Write machine control programs and Analyze drawings and calculate dimensions are better treated as AI-augmented work.
What should Computer Numerically Controlled Tool Programmers learn next?
Start with CAM programming, Tolerance analysis, Machine knowledge. The most practical adjacent paths in this model are Manufacturing Engineer and CAM Automation Lead.
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
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 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