How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Fabricate or alter parts at construction sites, using shears, hammers, punches, or drills.72
- Convert blueprints into shop drawings to be followed in the construction or assembly of sheet metal products.71
- Select gauges or types of sheet metal or nonmetallic material, according to product specifications.68
- Determine project requirements, such as scope, assembly sequences, or required methods or materials, using blueprints, drawings, or written or verbal instructions.67
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Fasten seams or joints together with welds, bolts, cement, rivets, solder, caulks, metal drive clips, or bonds to assemble components into products or to repair sheet metal items.01
- Transport prefabricated parts to construction sites for assembly and installation.02
- Install assemblies, such as flashing, pipes, tubes, heating and air conditioning ducts, furnace casings, rain gutters, or downspouts in supportive frameworks.03
- Trim, file, grind, deburr, buff, or smooth surfaces, seams, or joints of assembled parts, using hand tools or portable power tools.04
- Maintain equipment, making repairs or modifications when necessary.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
Closely related work
Compare these careers →Tool and Die Makers
Related work
Compare these careers →Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders
Related work
Compare these careers →Industrial Machinery Mechanics
Shares some work
Compare these careers →Woodworking Machine Setters, Operators, and Tenders, Except Sawing
Shares some work
Compare these careers →Model Makers, Metal and Plastic
Shares some work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
