Will AI replace Aircraft Structure, Surfaces, Rigging, and Systems Assemblers?
AI reaches little of this job’s work.
3/100
Low exposure
More exposed to AI than 9% of US workers.
- AI already used in
- 6% of the work
- As AI tools mature: up to
- 6% of the work
What the job involves
Assemble, fit, fasten, and install parts of airplanes, space vehicles, or missiles, such as tails, wings, fuselage, bulkheads, stabilizers, landing gear, rigging and control equipment, or heating and ventilating systems.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Already happening(1)
- Read blueprints, illustrations, or specifications to determine layouts, sequences of operations, or identities or relationships of parts.
Out of reach(25)
- Align, fit, assemble, connect, or install system components, using jigs, fixtures, measuring instruments, hand tools, or power tools.
- Adjust, repair, rework, or replace parts or assemblies to ensure proper operation.
- Assemble parts, fittings, or subassemblies on aircraft, using layout tools, hand tools, power tools, or fasteners, such as bolts, screws, rivets, or clamps.
- Cut, trim, file, bend, or smooth parts to ensure proper fit and clearance.
- Assemble prefabricated parts to form subassemblies.
and 20 more
Also called
Assembler · Aircraft Line Assembler · Aircraft Surface Assembler · Assembler Technician (Assembler Tech) · Assembler Tech · Aircraft Assembler · Assembly Riveter · Assembly Technician (Assembly Tech)
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics