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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Welders, Cutters, Solderers, and Brazers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Welding is labeled "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it isn't eliminating the job entirely. Robots and cobots are taking over repetitive, straightforward welds in many shops, and AI tools are stepping in to help with programming, quality checks, and real-time process monitoring — tasks that used to rely heavily on human experience alone.
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 somewhat resilient
Welding is labeled "Somewhat Resilient" because AI is genuinely changing how the work gets done, even if it isn't eliminating the job entirely. Robots and cobots are taking over repetitive, straightforward welds in many shops, and AI tools are stepping in to help with programming, quality checks, and real-time process monitoring — tasks that used to rely heavily on human experience alone.
Read full analysisAnalysis of Current AI Resilience
Welders, Cutters, etc.
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is mostly augmenting welders rather than replacing them. The American Welding Society reports that today's robotic welding solutions are increasingly designed with flexibility in mind, with collaborative robots—often called cobots—along with modular cells and simplified programming interfaces allowing shops to automate specific processes without completely redesigning their production environment, framing the shift as one focused less on replacing people and more on helping teams produce more with their existing staff [1]. AI is showing up most in three areas: programming, where the International Federation of Robotics describes a cloud system that uses AI to analyze 3D CAD models, automatically identifying optimal weld joints and suggesting the best operational sequences to reduce cycle times [2]; real-time process control, with The Fabricator noting that Novarc's NovAI gives real-time visibility into the weld pool, so operators can adjust weld paths and process parameters as they watch [3]; and quality inspection, where AI vision cameras flag defects before parts reach human inspectors.
The hands-on tasks in your list—prepping surfaces, grinding, fit-up, tagging parts—still need human judgment because real-world parts warp, fit poorly, or arrive dirty.

Adoption is happening, but slowly and unevenly. A massive labor shortage is the biggest accelerator: Fortune reports that Hadrian's CEO admits he can't get enough welders in his own factories even with automation [4], and Construction Owners highlights a San Francisco retrofit where a contractor couldn't find anywhere close to the 70 welders per shift, across three shifts a day, that the project demanded [5]. Cobot costs have also dropped—the same article notes that highly flexible systems can be deployed for around $100,000 [5], a much easier ROI for smaller shops.
But the slowdowns are real: Hirebotics estimates it has reached only about 4 to 5 percent of potential users, partly because many small and mid-sized fabricators still don't know that portable, flexible cobot systems exist at all. The U.S. Bureau of Labor Statistics still projects about 45,600 openings for welders, cutters, solderers, and brazers each year, on average, over the decade [6], even while warning that automation may limit overall demand growth. The takeaway for you: learning to work with robots, program cobots, and inspect AI-assisted welds is a smart bet—skilled human hands and eyes are still very much in demand.

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They join and shape metal parts together using heat, making sure structures and items are strong and secure.
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
Hammer out bulges or bends in metal workpieces.
Melt lead bars, wire, or scrap to add lead to joints or to extrude melted scrap into reusable form.
Operate safety equipment and use safe work habits.
Fill holes, and increase the size of metal parts.
Operate metal shaping, straightening, and bending machines, such as brakes and shears.
Mix and apply protective coatings to products.
Weld separately or in combination, using aluminum, stainless steel, cast iron, and other alloys.
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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