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Welders, Cutters, Solderers, and Brazers

Use hand-welding, flame-cutting, hand-soldering, or brazing equipment to weld or join metal components or to fill holes, indentations, or seams of fabricated metal products.

BLS SOC 51-4121 · O*NET-SOC 51-4121.00 · BLS 2025–2035 · O*NET 31.0

Median annual wage, 2025

$53,750

Projected change, 2025–2035

2.4%

2025–2035 annual average openings

40,300

AI exposure

Low

Editorial analysis

Robots can weld the repeatable joint. People handle the awkward one.

Welding has been automated in factories for years, especially when identical parts arrive at the same position thousands of times. AI and improved computer vision can make robotic welding more adaptable by helping machines recognize parts, track seams, adjust parameters, and inspect finished welds.

Not every weld happens on an assembly line

Construction sites, repair work, shipyards, pipelines, custom fabrication, and maintenance jobs present very different conditions. Parts may be worn, distorted, dirty, difficult to reach, or slightly different every time. Human welders can reposition themselves, prepare a surface, adjust technique, and solve problems that were never represented in the original drawing.

  • High-volume repetitive welding is increasingly suited to automation.
  • Vision systems may improve automated seam tracking and quality inspection.
  • Welders may spend more time setting up, programming, supervising, and repairing automated systems.
  • Specialized field welding, difficult positions, repair work, and certified high-consequence welding remain harder to automate.

For career resilience, advanced certifications, multiple welding processes, blueprint reading, fabrication knowledge, inspection skills, and the ability to work with robotic welding systems can all broaden a welder's options.

Labor-market picture

Two measures, different questions

These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.

Employment

Employment, 2025
437,700 jobs
Projected employment, 2035
448,100 jobs
Projected change, 20252035
10,300 jobs (2.4%)

Relative AI exposure

BLS category: Low. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.

Relative AI exposure · Low

Work profile

Representative tasks

These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.

  • Operate safety equipment and use safe work habits.
  • Examine workpieces for defects and measure workpieces with straightedges or templates to ensure conformance with specifications.
  • Weld components in flat, vertical, or overhead positions.
  • Detect faulty operation of equipment or defective materials and notify supervisors.
  • Recognize, set up, and operate hand and power tools common to the welding trade, such as shielded metal arc and gas metal arc welding equipment.
  • Select and install torches, torch tips, filler rods, and flux, according to welding chart specifications or types and thicknesses of metals.

Skills that matter

Skills in the source profile

Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.

Technology and tools

These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.

  • Computer aided design CAD software
  • Analytical or scientific software
  • Electronic mail software
  • Spreadsheet software
  • Office suite software
  • Operating system software
  • Calendar and scheduling software
  • Data base user interface and query software

Preparation

Typical entry education
High school diploma or equivalent
Related experience
None
On-the-job training
Moderate-term on-the-job training

Ask JobShift

Ask Dr. Morgan Reed about this evidence

Morgan is the JobShift Atlas analyst powered by AI. Answers draw from the evidence on this page and explain what it can tell you.

Source provenance

Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.