67
/100

SOC 51-2011

Aircraft Structure, Surfaces, Rigging, and Systems Assemblers

High RiskFrey/Osborne: 79.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

32,890

Total workers

Median Wage

๐Ÿ’ฐ

$62K

$46K โ€“ $95K

Projected Growth

๐Ÿ“ˆ

-14.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

21/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Aircraft Structure, Surfaces, Rigging, and Systems Assemblers face a risk score of 67/100 โ€” 23 points above the national average of 44. With only 21/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $62K ($15K 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 67/100, Aircraft Structure, Surfaces, Rigging, and Systems Assemblers faces moderate automation pressure. While tasks like ai quality inspection via computer vision systems are increasingly handled by AI, the role retains significant human elements. The 32,890 workers in this occupation should focus on strengthening skills in setup and calibration of custom production runs and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Aircraft Structure, Surfaces, Rigging, and Systems Assemblers?

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

โš ๏ธ Top Risk Factors

1

AI quality inspection via computer vision systems

2

Smart factory scheduling and production optimization

3

Automated CNC programming and machine operation

4

Industrial robotics replacing manual assembly tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

โœ“

Troubleshooting complex equipment malfunctions

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

Assemble parts, fittings, or subassemblies on aircraft, using layout tools, hand tools, power tools, or fasteners, such as bolts, screws, rivets, or clamps.

โ€ข

Read blueprints, illustrations, or specifications to determine layouts, sequences of operations, or identities or relationships of parts.

โ€ข

Attach brackets, hinges, or clips to secure or support components or subassemblies, using bolts, screws, rivets, chemical bonding, or welding.

โ€ข

Inspect or test installed units, parts, systems, or assemblies for fit, alignment, performance, defects, or compliance with standards, using measuring instruments or test equipment.

โ€ข

Adjust, repair, rework, or replace parts or assemblies to ensure proper operation.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Industrial control software

โ€ข

Enterprise resource planning ERP software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

Education and Training

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Production and Processing

๐Ÿ“Š vs National Average

Median Wage$62K
+$15K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure21/100
-17

National avg: 38/100

Projected Growth-14.5%
-18.2%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K69%
Fabric and Apparel Patternmakers33$68K83%