51
/100

SOC 51-4041

Machinists

ElevatedFrey/Osborne: 65.0%

Risk Score

โš ๏ธ

51/100

Elevated

US Employment

๐Ÿ‘ฅ

298,790

Total workers

Median Wage

๐Ÿ’ฐ

$56K

$38K โ€“ $79K

Projected Growth

๐Ÿ“ˆ

0%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Machinists face a risk score of 51/100 โ€” 7 points above the national average of 44. With only 44/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $56K ($10K 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 51/100, Machinists faces moderate automation pressure. While tasks like cobots handling repetitive material handling tasks are increasingly handled by AI, the role retains significant human elements. The 298,790 workers in this occupation should focus on strengthening skills in handling non-standard materials and configurations and troubleshooting complex equipment malfunctions to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Machinists?

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

โš ๏ธ Top Risk Factors

1

Cobots handling repetitive material handling tasks

2

Smart factory scheduling and production optimization

3

Predictive maintenance reducing manual inspection roles

4

Industrial robotics replacing manual assembly tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

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

Calculate dimensions or tolerances, using instruments, such as micrometers or vernier calipers.

โ€ข

Machine parts to specifications, using machine tools, such as lathes, milling machines, shapers, or grinders.

โ€ข

Measure, examine, or test completed units to check for defects and ensure conformance to specifications, using precision instruments, such as micrometers.

โ€ข

Set up, adjust, or operate basic or specialized machine tools used to perform precision machining operations.

โ€ข

Program computers or electronic instruments, such as numerically controlled machine tools.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Analytical or scientific software

โ€ข

Computer aided manufacturing CAM software

โ€ข

Industrial control software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

Design

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$56K
+$10K

National avg: $46K

Risk Score51/100
+7

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth0.0%
-3.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K67%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K57%
Fabric and Apparel Patternmakers33$68K81%