Last Update: 2/17/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They join and shape metal parts together using heat, making sure structures and items are strong and secure.
This role is evolving
This career is labeled as "Evolving" because AI and robots are gradually taking over repetitive and routine welding tasks, like moving the torch and monitoring the weld. However, human welders are still crucial for setting up machines, reading blueprints, and handling complex or unusual jobs.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
This career is labeled as "Evolving" because AI and robots are gradually taking over repetitive and routine welding tasks, like moving the torch and monitoring the weld. However, human welders are still crucial for setting up machines, reading blueprints, and handling complex or unusual jobs.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Will Robots Take My Job
Automation Resilience
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Welders, Cutters, etc.
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Even today, many welding and cutting tasks use machines. In big factories (like auto and shipbuilding), robot arms hold the torch, start the electric arc, and move it along the metal – doing the work a welder would do [1]. These robots use cameras and sensors to watch the weld in real time, adjusting speed or heat to avoid mistakes.
Industry reviews note that automated welding helps reduce defects and cost while improving quality [2] [2]. In other words, machines handle the routine torch-moving and continuous monitoring.
But humans still run the show for now. People must prepare the work, read blueprints, and set up machines – tasks that AI cannot fully do yet [3]. Activities like checking safety gear or hammering out bent metal are mostly done by hand.
In practice, new welding technology often “aids team members” rather than replaces them [4]. For example, many shops use small “cobot” helpers: robots that do the boring, repetitive welds so experienced welders can tackle tricky spots or quality checks [5] [4]. In short, today’s AI and robots take care of steady, repetitive welding steps (lighting the torch, following a path, inspecting the bead) while people handle planning, adjustment, and unusual jobs [5] [4].

AI in the real world
Welding automation is growing fastest in places that need it. There is a big welder shortage in the U.S., so many manufacturers use robots and “cobots” to fill gaps [5]. Robots also help companies hit quality targets and improve safety.
With higher wages and labor shortages, factories find robots more affordable. One industry leader noted that a recent rise in labor costs made robot investments “financially desirable and justifiable” [4]. Indeed, reports say companies are turning to robots for “dull, dirty, or dangerous” tasks amid tight labor and rising costs [4] [4].
When well-designed, these systems repay their cost in a few years by boosting output and cutting waste [2] [4].
At the same time, not every shop can switch over easily. Robots and AI gear often cost more up front than manual equipment, so small shops or one-off jobs may wait. Installing and programming welding robots also needs skilled technicians – something some companies struggle to find [4].
In fact, robot sales have slowed recently in part because factories can’t hire enough robot experts. And many welds (for example on-site repair or custom work) are too variable to fully automate. Labor projections reflect this balance: U.S. job growth for welders is slow, and experts say automation will handle routine work [3].
Overall, factories will keep adopting AI welding tools where it makes sense, but most welders will still be needed for setup, supervision, and complex tasks [3] [4].

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Median Wage
$51,000
Jobs (2024)
457,300
Growth (2024-34)
+2.2%
Annual Openings
45,600
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Melt lead bars, wire, or scrap to add lead to joints or to extrude melted scrap into reusable form.
Analyze engineering drawings, blueprints, specifications, sketches, work orders, and material safety data sheets to plan layout, assembly, and welding operations.
Hammer out bulges or bends in metal workpieces.
Gouge metals, using the air-arc gouging process.
Operate safety equipment and use safe work habits.
Use fire suppression methods in industrial emergencies.
Lay out, position, align, and secure parts and assemblies prior to assembly, using straightedges, combination squares, calipers, and rulers.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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