Will AI replace welders?
Part of the work, not the whole job. AI could take on about 17% of the working time in a typical welder job today. The other 83% still needs a person.
83% of the work still needs a person.
The bracket under the bar is the evidence range for the share AI could take on: 17 to 19%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry.
30 responsibilities in a typical welder job. Median pay $53,750 a year in the U.S. (BLS, May 2025).
Still needs a person
- Weld parts in any position
- Start torches and strike an arc
- Follow safety procedures on the job
- Pick the right welding method
- Shape metal with flame or electrode
- Measure joints with precision tools
AI can do or help with
- Pick torches, rods, and flux AI helps
- Mark material with job numbers AI helps
- Build templates from blueprint math AI helps
The biggest responsibilities on each side, ranked by a person's time on the left. "AI helps" means AI takes on part of the work, or most of it with a person checking what it produces, so one can show on both sides. See all 30, with the reason for each and the cost of handing them to AI.
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Questions people ask
Will AI replace welders?
Part of the work, not the whole job. AI could take on about 17% of the working time in a typical welder job today. The other 83% still needs a person. That is a split of the work, not a forecast of jobs lost.
Which parts of the job can AI do?
The biggest ones AI can do or help with: pick torches, rods, and flux, mark material with job numbers, build templates from blueprint math.
Which parts still need a person?
The biggest ones: weld parts in any position, start torches and strike an arc, follow safety procedures on the job, pick the right welding method, shape metal with flame or electrode, measure joints with precision tools.
How is this measured?
The U.S. Department of Labor lists 30 responsibilities for this job (O*NET 31.0). Each is scored on 4 questions: can AI do it, does it get it right, must a person sign for it, and do people need to deal with a real person. The split is weighted by how much of the job each responsibility takes up. The evidence range for the share AI could take on is 17 to 19%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry. Scores version 0.7.17, updated October 28, 2026.
Responsibilities from O*NET 31.0 (U.S. Department of Labor). Pay from the Bureau of Labor Statistics, May 2025. Scores are calibrated to published research and updated every month. How it works.
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