Will AI replace Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders?
AI reaches little of this job’s work.
9/100
Low exposure
More exposed to AI than 20% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 18% of the work
What the job involves
Set up, operate, or tend welding, soldering, or brazing machines or robots that weld, braze, solder, or heat treat metal products, components, or assemblies. Includes workers who operate laser cutters or laser-beam machines.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(5)
- Select torch tips, alloys, flux, coil, tubing, or wire, according to metal types or thicknesses, data charts, or records.
- Turn and press knobs and buttons or enter operating instructions into computers to adjust and start welding machines.
- Record operational information on specified production reports.
- Compute and record settings for new work, applying knowledge of metal properties, principles of welding, and shop mathematics.
- Devise or build fixtures or jigs used to hold parts in place during welding, brazing, or soldering.
Out of reach(24)
- Read blueprints, work orders, or production schedules to determine product or job instructions or specifications.
- Inspect, measure, or test completed metal workpieces to ensure conformance to specifications, using measuring and testing devices.
- Prepare metal surfaces or workpieces, using hand-operated equipment, such as grinders, cutters, or drills.
- Clean, lubricate, maintain, and adjust equipment to maintain efficient operation, using air hoses, cleaning fluids, and hand tools.
- Set up, operate, or tend welding machines that join or bond components to fabricate metal products or assemblies.
and 19 more
Also called
Finishing Technician (Finishing Tech) · Weld Technician (Weld Tech) · Welding Operator · Brazing Machine Operator · Brazing Machine Setter · Electron Beam Welder Setter · Finishing Tech · Laser Beam Machine Operator
Related jobs
- Structural Metal Fabricators and Fitters2/100
- Welders, Cutters, Solderers, and Brazers3/100
- Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic7/100
- Lathe and Turning Machine Tool Setters, Operators, and Tenders, Metal and Plastic3/100
- Aircraft Structure, Surfaces, Rigging, and Systems Assemblers3/100
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