Welders, cutters, solderers, and brazers

AI Overlap Index
40.3 / 100
Partially Exposed

Clear pressure on routine tasks. Composition of the role will shift within the decade.

SOC 51-4121 · Production

Bureau of Labor Statistics
Median pay
$51,000/yr
Hourly
$25/hr
Jobs 2024
457,300
Projected 2034
467,200
10-yr outlook
+2% · Slower than average
Employment change
9,900
Entry education
High school diploma or equivalent
SOC code
51-4121

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
32.6
contribution to AOI: 19.6
Automation Potential weight 10%
20.0
contribution to AOI: 2.0
Market Pressure weight 15%
55.0
contribution to AOI: 8.2
Entry Barrier Erosion weight 15%
70.0
contribution to AOI: 10.5

By seniority

multiplicative adjustment from category curve

Entry
49.2
mult 1.22x
Mid
40.3
mult 1.00x
Senior
33.0
mult 0.82x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

9 tasks · model: claude-sonnet-4-5-20250929
Important t4

Read and interpret blueprints, sketches, and specifications

AI vision systems can parse technical drawings and extract dimensions, tolerances, and welding symbols with high accuracy. Modern multimodal models can interpret blueprint conventions and generate work instructions, though complex or ambiguous drawings may still require human verification.

BLS evidence: Listed as the first duty: 'Read and interpret blueprints, sketches, and specifications.'

72
automation
Important t5

Calculate and measure dimensions of parts to be welded

AI can perform dimensional calculations from specifications and generate cutting lists or measurement requirements. Computer vision can assist with measurement verification. However, physical measurement in field conditions and judgment about material variations still benefit from human oversight.

BLS evidence: The duties section explicitly lists 'Calculate and measure the dimensions of parts to be welded.'

68
automation
Important t8

Select appropriate welding process based on metal types and job requirements

AI can recommend welding processes based on material types, thickness, joint design, and position using structured knowledge bases and specification matching. However, final selection often depends on equipment availability, environmental conditions, and experiential judgment that AI can support but not fully replace.

BLS evidence: The page states 'Welders usually choose a welding process based on a number of factors, such as the types of metals being joined.'

58
automation
Important t6

Inspect structures or materials to be welded

AI-powered visual inspection systems can detect surface defects, cracks, and dimensional issues, but assessing weld-readiness requires understanding material condition, contamination, and fit-up quality in varied lighting and access conditions that challenge current computer vision deployed outside controlled settings.

BLS evidence: The duties section includes 'Inspect structures or materials to be welded.'

45
automation
Important t7

Monitor the welding process and adjust heat as necessary

Requires real-time sensory feedback (visual observation of puddle, sound, even smell) and immediate physical adjustment of torch angle, travel speed, and heat input. While automated welding systems exist, they operate in fixed industrial settings and cannot handle the dynamic monitoring required in typical welding work.

BLS evidence: Listed in duties: 'Monitor the welding process and adjust heat as necessary.'

18
automation
Core t2

Cut and trim metal objects to specific dimensions using heat-based equipment

Demands physical operation of cutting torches or plasma cutters with real-time judgment about heat application, material response, and dimensional accuracy in three-dimensional space. Robotic cutting exists for factory settings but cannot handle the variability of field work and custom fabrication.

BLS evidence: The page describes that 'Cutters use heat from an electric arc, a stream of ionized gas called plasma, or burning gases to cut and trim metal objects to specific dimensions.'

15
automation
Core t3

Join metal objects using soldering or brazing techniques

Requires fine motor control to apply precise heat and filler material while manipulating small parts, often in awkward positions. The tactile feedback and real-time heat adjustment needed exceed current AI-robotics integration capabilities outside highly controlled manufacturing environments.

BLS evidence: The description states 'Solderers and brazers use equipment to heat molten metal and join two or more metal objects.'

14
automation
Core t1

Weld metal materials according to blueprint specifications

Requires precise hand-eye coordination, real-time adjustment to material behavior, and physical manipulation of welding equipment in variable positions and environments. Current robotics can handle fixed-position repetitive welds but cannot match human adaptability across diverse job sites and specifications.

BLS evidence: The duties section states 'Weld materials according to blueprint specifications' as a primary activity.

12
automation
Supporting t9

Maintain welding equipment and machinery

Involves physical tasks like cleaning nozzles, replacing consumables, adjusting gas flow, and diagnosing mechanical issues through hands-on inspection. Requires manual dexterity in equipment-specific contexts and troubleshooting in unpredictable field conditions that are far beyond current robotics capabilities.

BLS evidence: The duties section lists 'Maintain equipment and machinery' as a regular task.

8
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
20
karpathy 2/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
55
outlook: Slower than average
  • BLS projected outlook: Slower than average (2%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
70
ed: High school diploma or equivalent
  • BLS typical entry-level education: High school diploma or equivalent
  • Credential trend signal (annual refresh)

Related in Production

closest AOI neighbors in the same category