74
/100

SOC 51-2031

Engine and Other Machine Assemblers

High RiskFrey/Osborne: 82.0%

Risk Score

โš ๏ธ

74/100

High Risk

US Employment

๐Ÿ‘ฅ

38,420

Total workers

Median Wage

๐Ÿ’ฐ

$53K

$38K โ€“ $74K

Projected Growth

๐Ÿ“ˆ

-21.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

19/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Engine and Other Machine Assemblers face a risk score of 74/100 โ€” 30 points above the national average of 44. With only 19/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $53K ($6K 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 74/100, Engine and Other Machine Assemblers faces significant automation pressure. Key threats include predictive maintenance reducing manual inspection roles and industrial robotics replacing manual assembly tasks. The 38,420 Americans in this role should actively develop skills in handling non-standard materials and configurations and coordinating workflow across diverse production teams to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Engine and Other Machine Assemblers?

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

Industrial robotics replacing manual assembly tasks

3

Automated CNC programming and machine operation

4

Smart factory scheduling and production optimization

5

AI quality inspection via computer vision systems

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Handling non-standard materials and configurations

โœ“

Coordinating workflow across diverse production teams

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

Read and interpret assembly blueprints or specifications manuals, and plan assembly or building operations.

โ€ข

Inspect, operate, and test completed products to verify functioning, machine capabilities, or conformance to customer specifications.

โ€ข

Position or align components for assembly, manually or using hoists.

โ€ข

Set and verify parts clearances.

โ€ข

Verify conformance of parts to stock lists or blueprints, using measuring instruments such as calipers, gauges, or micrometers.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Word processing software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

Customer and Personal Service

โ€ข

Engineering and Technology

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$53K
+$6K

National avg: $46K

Risk Score74/100
+30

National avg: 44/100

GenAI Exposure19/100
-19

National avg: 38/100

Projected Growth-21.1%
-24.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K53%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K63%
Fabric and Apparel Patternmakers33$68K82%