Computer numerically controlled tool programmers
SOC Code: 51-9162
Computer numerically controlled tool programmers carries a 49% AI exposure score (High automation risk), with a median annual wage of $65,670 and +12.8% projected employment growth from 2024 to 2034 (BLS), affecting approximately 28,300 workers. Full task breakdown, skills, and employer data are below.
Proportion of tasks susceptible to AI automation (O*NET analysis)
AI Exposure vs Industry Growth
Total occupations tracked
832
Covering all SOC major groups
Data currency
2024
BLS Employment Projections
AI exposure avg
40%
Fleet-wide median across all roles
Composite score weighing O*NET task data completeness, BLS projection methodology, and cross-validation with employer risk grades.
Employment Projections
Occupation Insight
Computer numerically controlled tool programmers (SOC 51-9162) carries an AI exposure score of 49%, placing it in the High automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score in the 40–70% range indicates meaningful automation pressure on specific task categories, but the role as a whole still requires human judgment for coordination, exception handling, or client interaction.
The economic context matters alongside the risk score. BLS counted approximately 28,300 workers in this occupation in 2024, and projects a +12.8% change through 2034 — a strong growth outlook that compensates meaningfully for automation risk. Median annual compensation stands at $65,670, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires Postsecondary nondegree award, plus None of related experience.
For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Computer numerically controlled tool programmers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.
Education & Entry Requirements
Top Tasks (O*NET)
- 1. Determine the sequence of machine operations, and select the proper cutting tools needed to machine workpieces into the desired shapes.
- 2. Analyze job orders, drawings, blueprints, specifications, printed circuit board pattern films, and design data to calculate dimensions, tool selection, machine speeds, and feed rates.
- 3. Observe machines on trial runs or conduct computer simulations to ensure that programs and machinery will function properly and produce items that meet specifications.
- 4. Write programs in the language of a machine's controller and store programs on media, such as punch tapes, magnetic tapes, or disks.
- 5. Determine reference points, machine cutting paths, or hole locations, and compute angular and linear dimensions, radii, and curvatures.
- 6. Enter computer commands to store or retrieve parts patterns, graphic displays, or programs that transfer data to other media.
- 7. Revise programs or tapes to eliminate errors, and retest programs to check that problems have been solved.
- 8. Modify existing programs to enhance efficiency.
- 9. Enter coordinates of hole locations into program memories by depressing pedals or buttons of programmers.
- 10. Sort shop orders into groups to maximize materials utilization and minimize machine setup time.
Key Skills Required
- Programming
- Monitoring
- Mathematics
- Complex Problem Solving
- Operations Monitoring
- Systems Analysis
- Reading Comprehension
- Active Listening
- Speaking
- Critical Thinking
Knowledge Areas
- Production and Processing
- Engineering and Technology
- Mathematics
- Design
- Computers and Electronics
- English Language
- Education and Training
- Mechanical
- Administrative
- Administration and Management
Frequently Asked Questions
Will AI replace Computer numerically controlled tool programmers?
Computer numerically controlled tool programmers has an AI exposure score of 49%, indicating a high level of automation risk. Some tasks in this role can be augmented or partially automated by AI, but core responsibilities require human judgment.
What is the job outlook for Computer numerically controlled tool programmers?
According to BLS Employment Projections 2024-2034, Computer numerically controlled tool programmers is projected to grow by 12.8% over the decade. Current employment stands at approximately 28,300 workers.
What skills are needed for Computer numerically controlled tool programmers?
Key skills for Computer numerically controlled tool programmers include Programming, Monitoring, Mathematics, and others. Typical entry-level education is Postsecondary nondegree award.
How much do Computer numerically controlled tool programmers earn?
The median annual wage for Computer numerically controlled tool programmers is $65,670, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.
What education is required for Computer numerically controlled tool programmers?
The typical entry-level education for Computer numerically controlled tool programmers is Postsecondary nondegree award. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.
Which companies employ Computer numerically controlled tool programmers?
Computer numerically controlled tool programmers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.
AI Exposure Rating
High automation risk based on 10 analyzed tasks. A moderate share of tasks may be augmented by AI tools.
Related Occupations
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Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).