Computer numerically controlled tool operators
SOC Code: 51-9161
Computer numerically controlled tool operators carries a 36% AI exposure score (Medium automation risk), with a median annual wage of $49,970 and -10.7% projected employment growth from 2024 to 2034 (BLS), affecting approximately 177,100 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 operators (SOC 51-9161) carries an AI exposure score of 36%, placing it in the Medium 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 below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.
The economic context matters alongside the risk score. BLS counted approximately 177,100 workers in this occupation in 2024, and projects a -10.7% change through 2034 — a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $49,970, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, 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 operators. 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. Measure dimensions of finished workpieces to ensure conformance to specifications, using precision measuring instruments, templates, and fixtures.
- 2. Set up and operate computer-controlled machines or robots to perform one or more machine functions on metal or plastic workpieces.
- 3. Mount, install, align, and secure tools, attachments, fixtures, and workpieces on machines, using hand tools and precision measuring instruments.
- 4. Review program specifications or blueprints to determine and set machine operations and sequencing, finished workpiece dimensions, or numerical control sequences.
- 5. Stop machines to remove finished workpieces or to change tooling, setup, or workpiece placement, according to required machining sequences.
- 6. 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.
- 7. Implement changes to machine programs, and enter new specifications, using computers.
- 8. Calculate machine speed and feed ratios and the size and position of cuts.
- 9. Transfer commands from servers to computer numerical control (CNC) modules, using computer network links.
- 10. Remove and replace dull cutting tools.
Key Skills Required
- Operations Monitoring
- Operation and Control
- Critical Thinking
- Monitoring
- Quality Control Analysis
- Active Listening
- Complex Problem Solving
- Troubleshooting
- Speaking
- Equipment Maintenance
Knowledge Areas
- Mathematics
- Production and Processing
- Mechanical
- English Language
- Engineering and Technology
- Education and Training
- Design
- Administration and Management
- Computers and Electronics
- Physics
Frequently Asked Questions
Will AI replace Computer numerically controlled tool operators?
Computer numerically controlled tool operators has an AI exposure score of 36%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.
What is the job outlook for Computer numerically controlled tool operators?
According to BLS Employment Projections 2024-2034, Computer numerically controlled tool operators is projected to decline by 10.7% over the decade. Current employment stands at approximately 177,100 workers.
What skills are needed for Computer numerically controlled tool operators?
Key skills for Computer numerically controlled tool operators include Operations Monitoring, Operation and Control, Critical Thinking, and others. Typical entry-level education is High school diploma or equivalent.
How much do Computer numerically controlled tool operators earn?
The median annual wage for Computer numerically controlled tool operators is $49,970, 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 operators?
The typical entry-level education for Computer numerically controlled tool operators is High school diploma or equivalent. 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 operators?
Computer numerically controlled tool operators 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
Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.
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).