66
/100

SOC 51-4111

Tool and Die Makers

High RiskFrey/Osborne: 84.0%

Risk Score

โš ๏ธ

66/100

High Risk

US Employment

๐Ÿ‘ฅ

55,130

Total workers

Median Wage

๐Ÿ’ฐ

$63K

$44K โ€“ $88K

Projected Growth

๐Ÿ“ˆ

-10.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

42/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Tool and Die Makers face a risk score of 66/100 โ€” 22 points above the national average of 44. With only 42/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $63K ($17K 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 66/100, Tool and Die Makers faces moderate automation pressure. While tasks like predictive maintenance reducing manual inspection roles are increasingly handled by AI, the role retains significant human elements. The 55,130 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Tool and Die Makers?

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

โš ๏ธ Top Risk Factors

1

Predictive maintenance reducing manual inspection roles

2

Cobots handling repetitive material handling tasks

3

Automated CNC programming and machine operation

4

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Setup and calibration of custom production runs

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

Verify dimensions, alignments, and clearances of finished parts for conformance to specifications, using measuring instruments such as calipers, gauge blocks, micrometers, or dial indicators.

โ€ข

Set up and operate conventional or computer numerically controlled machine tools such as lathes, milling machines, or grinders to cut, bore, grind, or otherwise shape parts to prescribed dimensions and finishes.

โ€ข

Visualize and compute dimensions, sizes, shapes, and tolerances of assemblies, based on specifications.

โ€ข

Study blueprints, sketches, models, or specifications to plan sequences of operations for fabricating tools, dies, or assemblies.

โ€ข

Fit and assemble parts to make, repair, or modify dies, jigs, gauges, and tools, using machine tools, hand tools, or welders.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided manufacturing CAM software

โ€ข

Computer aided design CAD software

โ€ข

Materials requirements planning logistics and supply chain software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Production and Processing

โ€ข

Design

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$63K
+$17K

National avg: $46K

Risk Score66/100
+22

National avg: 44/100

GenAI Exposure42/100
+4

National avg: 38/100

Projected Growth-10.8%
-14.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
Fabric and Apparel Patternmakers33$68K81%
Supervisors of Production Workers34$71K79%