62
/100

SOC 51-4122

Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders

High RiskFrey/Osborne: 61.0%

Risk Score

โš ๏ธ

62/100

High Risk

US Employment

๐Ÿ‘ฅ

36,290

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$36K โ€“ $66K

Projected Growth

๐Ÿ“ˆ

-9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

44/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders face a risk score of 62/100 โ€” 18 points above the national average of 44. With only 44/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($750 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, Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders faces moderate automation pressure. While tasks like cobots handling repetitive material handling tasks are increasingly handled by AI, the role retains significant human elements. The 36,290 workers in this occupation should focus on strengthening skills in setup and calibration of custom production runs and quality judgment requiring tactile and visual inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Welding, Soldering, and Brazing Machine Setters, Operators, and Tenders?

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

โš ๏ธ Top Risk Factors

1

Cobots handling repetitive material handling tasks

2

Smart factory scheduling and production optimization

3

Industrial robotics replacing manual assembly tasks

4

Predictive maintenance reducing manual inspection roles

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Setup and calibration of custom production runs

โœ“

Quality judgment requiring tactile and visual inspection

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

Read blueprints, work orders, or production schedules to determine product or job instructions or specifications.

โ€ข

Inspect, measure, or test completed metal workpieces to ensure conformance to specifications, using measuring and testing devices.

โ€ข

Record operational information on specified production reports.

โ€ข

Correct problems by adjusting controls or by stopping machines and opening holding devices.

โ€ข

Set up, operate, or tend welding machines that join or bond components to fabricate metal products or assemblies.

๐Ÿ’ป Technology Skills

โ€ข

Electronic mail software

โ€ข

Enterprise resource planning ERP software

โ€ข

Operating system software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Production and Processing

โ€ข

Administration and Management

โ€ข

Design

โ€ข

Public Safety and Security

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$47K
+$750

National avg: $46K

Risk Score62/100
+18

National avg: 44/100

GenAI Exposure44/100
+6

National avg: 38/100

Projected Growth-9.0%
-12.7%

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%