Medium AI Risk Declining

Welding, soldering, and brazing machine setters, operators, and tenders

SOC Code: 51-4122

Welding, soldering, and brazing machine setters, operators, and tenders carries a 37% AI exposure score (Medium automation risk), with a median annual wage of $47,060 and -9.0% projected employment growth from 2024 to 2034 (BLS), affecting approximately 38,900 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
37% Medium
Typical exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-9.0%
Bottom 10% growth
2024–2034 (BLS)
-3,500 jobs
Median Annual Wage
$47,060
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 37% AI exposure, Welding, soldering, and brazing machine setters, operators, and tenders sits 0 points above the 37.2% average across 832 U.S. occupations - more exposed than 59% of them. Most of its core tasks still require human judgment.

37%
AI exposure
Top 41%
most exposed
-9.0%
Job growth 2024–34
$47,060
Median wage
F

Career outlook score

25/100

Welding, soldering, and brazing machine setters, operators, and tenders, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage F $47,060

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth F -9.0%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) D 37% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Welding, soldering, and brazing machine setters, operators, and tenders in the Medium band.

Credential × growth standing

Open entry on a declining BLS line

Typical entry is HS / some college (333/832) while growth is Declining (111/832). This is the crowded high-risk corner of the map - automation and headcount pressure compound without a degree moat.

Where Welding, soldering, and brazing machine setters, operators, and tenders sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Welding, soldering, and brazing machine setters, operators, and tenders sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

37% Around the middle lower than 41% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Welding, soldering, and brazing machine setters, operators, and tenders vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Welding, soldering, and brazing machine setters, operators, and tenders is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk28.1%33.0%38%43.0%47.9%-11.5%-7.0%-2.5%1.9%6.4%AI exposure (%) →Projected growth (%) →Welding, AI exposure (%) →: 37% · Projected growth (%) →: -9%WeldingMiscellaneous assemb, AI exposure (%) →: 35% · Projected growth (%) →: -0.1%Miscellaneous assembFirst-line superviso, AI exposure (%) →: 35% · Projected growth (%) →: 1.2%First-line supervisoInspectors, AI exposure (%) →: 47% · Projected growth (%) →: 0%InspectorsWelders, AI exposure (%) →: 29% · Projected growth (%) →: 2.2%WeldersPackaging, AI exposure (%) →: 42% · Projected growth (%) →: 4.5%PackagingMachinists, AI exposure (%) →: 30% · Projected growth (%) →: 0%MachinistsProduction workers, AI exposure (%) →: 35% · Projected growth (%) →: 0.5%Production workersElectrical, AI exposure (%) →: 35% · Projected growth (%) →: 4.6%ElectricalBakers, AI exposure (%) →: 37% · Projected growth (%) →: 5.6%BakersLaundry, AI exposure (%) →: 31% · Projected growth (%) →: 5.4%LaundryComputer numerically, AI exposure (%) →: 36% · Projected growth (%) →: -10.7%Computer numerically

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

38,900
Employment 2024
35,400
Projected 2034
-9.0%
Change (%)
-3,500
Change (jobs)

Where This Score Comes From

Welding, soldering, and brazing machine setters, operators, and tenders's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 51-4122) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Welding, soldering, and brazing machine setters, operators, and tenders be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Welding, soldering, and brazing machine setters, operators, and tenders. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Moderate-term on-the-job training

Registered Apprenticeship Pathway Available

Welding, soldering, and brazing machine setters, operators, and tenders is a recognized registered apprenticeship occupation under the DOL RAPIDS system. Earn while you train, apprentices typically start at ~$16/hr and reach $28–$46/hr upon completion, depending on the specific trade and region.

Top Tasks (O*NET)

  1. 1. Read blueprints, work orders, or production schedules to determine product or job instructions or specifications.
  2. 2. Inspect, measure, or test completed metal workpieces to ensure conformance to specifications, using measuring and testing devices.
  3. 3. Add chemicals or materials to workpieces or machines to facilitate bonding or to cool workpieces.
  4. 4. Record operational information on specified production reports.
  5. 5. Correct problems by adjusting controls or by stopping machines and opening holding devices.
  6. 6. Set up, operate, or tend welding machines that join or bond components to fabricate metal products or assemblies.
  7. 7. Select torch tips, alloys, flux, coil, tubing, or wire, according to metal types or thicknesses, data charts, or records.
  8. 8. Lay out, fit, or connect parts to be bonded, calculating production measurements, as necessary.
  9. 9. Prepare metal surfaces or workpieces, using hand-operated equipment, such as grinders, cutters, or drills.
  10. 10. Mark weld points and positions of components on workpieces, using rules, squares, templates, or scribes.

Key Skills Required

  • Operations Monitoring
  • Operation and Control
  • Reading Comprehension
  • Active Listening
  • Speaking
  • Critical Thinking
  • Monitoring
  • Complex Problem Solving
  • Judgment and Decision Making
  • Active Learning

Knowledge Areas

  • Production and Processing
  • Administration and Management
  • Design
  • Public Safety and Security
  • English Language
  • Mechanical
  • Customer and Personal Service
  • Engineering and Technology
  • Mathematics
  • Education and Training

Frequently Asked Questions

Will AI replace Welding, soldering, and brazing machine setters, operators, and tenders?

Welding, soldering, and brazing machine setters, operators, and tenders has an AI exposure score of 37%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Welding, soldering, and brazing machine setters, operators, and tenders?

According to BLS Employment Projections 2024-2034, Welding, soldering, and brazing machine setters, operators, and tenders is projected to decline by 9.0% over the decade. Current employment stands at approximately 38,900 workers.

What skills are needed for Welding, soldering, and brazing machine setters, operators, and tenders?

Key skills for Welding, soldering, and brazing machine setters, operators, and tenders include Operations Monitoring, Operation and Control, Reading Comprehension, and others. Typical entry-level education is High school diploma or equivalent.

How much do Welding, soldering, and brazing machine setters, operators, and tenders earn?

The median annual wage for Welding, soldering, and brazing machine setters, operators, and tenders is $47,060, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Welding, soldering, and brazing machine setters, operators, and tenders?

The typical entry-level education for Welding, soldering, and brazing machine setters, operators, and tenders is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Moderate-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Welding, soldering, and brazing machine setters, operators, and tenders?

Welding, soldering, and brazing machine setters, operators, and tenders roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.9
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Welding, soldering, and brazing machine setters, operators, and tenders: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (37% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (-9.0% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Welding, soldering, and brazing machine setters, operators, and tenders' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.