48
/100

SOC 51-9162

Computer Numerically Controlled Tool Programmers

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

48/100

Elevated

US Employment

๐Ÿ‘ฅ

28,230

Total workers

Median Wage

๐Ÿ’ฐ

$66K

$46K โ€“ $98K

Projected Growth

๐Ÿ“ˆ

+12.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

76/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Computer Numerically Controlled Tool Programmers face a risk score of 48/100 โ€” 4 points above the national average of 44. With 76/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $66K ($19K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 48/100, Computer Numerically Controlled Tool Programmers faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 28,230 workers in this occupation should focus on strengthening skills in quality judgment requiring tactile and visual inspection and setup and calibration of custom production runs to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Computer Numerically Controlled Tool Programmers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

Cobots handling repetitive material handling tasks

3

Chatbot displacement of customer-facing interactions

4

Industrial robotics replacing manual assembly tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Setup and calibration of custom production runs

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Coordinating workflow across diverse production teams

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Write programs in the language of a machine's controller and store programs on media, such as punch tapes, magnetic tapes, or disks.

โ€ข

Determine the sequence of machine operations, and select the proper cutting tools needed to machine workpieces into the desired shapes.

โ€ข

Revise programs or tapes to eliminate errors, and retest programs to check that problems have been solved.

โ€ข

Analyze job orders, drawings, blueprints, specifications, printed circuit board pattern films, and design data to calculate dimensions, tool selection, machine speeds, and feed rates.

โ€ข

Write instruction sheets and cutter lists for a machine's controller to guide setup and encode numerical control tapes.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided manufacturing CAM software

โ€ข

Enterprise resource planning ERP software

โ€ข

Computer aided design CAD software

โ€ข

Enterprise application integration software

โ€ข

Video conferencing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Computers and Electronics

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Production and Processing

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$66K
+$19K

National avg: $46K

Risk Score48/100
+4

National avg: 44/100

GenAI Exposure76/100
+38

National avg: 38/100

Projected Growth12.8%
+9.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K61%
Fabric and Apparel Patternmakers33$68K75%
Supervisors of Production Workers34$71K73%