62
/100

SOC 51-4121

Welders, Cutters, Solderers, and Brazers

High RiskFrey/Osborne: 94.0%

Risk Score

โš ๏ธ

62/100

High Risk

US Employment

๐Ÿ‘ฅ

424,040

Total workers

Median Wage

๐Ÿ’ฐ

$51K

$38K โ€“ $76K

Projected Growth

๐Ÿ“ˆ

+2.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

41/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Welders, Cutters, Solderers, and Brazers face a risk score of 62/100 โ€” 18 points above the national average of 44. With only 41/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $51K ($5K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 62/100, Welders, Cutters, Solderers, and Brazers faces moderate automation pressure. While tasks like automated cnc programming and machine operation are increasingly handled by AI, the role retains significant human elements. The 424,040 workers in this occupation should focus on strengthening skills in troubleshooting complex equipment malfunctions and coordinating workflow across diverse production teams to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Welders, Cutters, Solderers, and Brazers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated CNC programming and machine operation

2

AI quality inspection via computer vision systems

3

Cobots handling repetitive material handling tasks

4

Industrial robotics replacing manual assembly tasks

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Troubleshooting complex equipment malfunctions

โœ“

Coordinating workflow across diverse production teams

โœ“

Handling non-standard materials and configurations

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Operate safety equipment and use safe work habits.

โ€ข

Examine workpieces for defects and measure workpieces with straightedges or templates to ensure conformance with specifications.

โ€ข

Weld components in flat, vertical, or overhead positions.

โ€ข

Detect faulty operation of equipment or defective materials and notify supervisors.

โ€ข

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.

๐Ÿ’ป Technology Skills

โ€ข

Enterprise resource planning ERP software

โ€ข

Computer aided design CAD software

โ€ข

Analytical or scientific software

โ€ข

Electronic mail software

โ€ข

Spreadsheet software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Design

๐Ÿ“Š vs National Average

Median Wage$51K
+$5K

National avg: $46K

Risk Score62/100
+18

National avg: 44/100

GenAI Exposure41/100
+3

National avg: 38/100

Projected Growth2.2%
-1.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K59%
Fabric and Apparel Patternmakers33$68K73%