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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.
High
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%).
Low
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
Structural Metal Fabricators and Fitters are somewhat less resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Structural metal fabrication is "Somewhat Resilient" because while AI is genuinely changing parts of this job — handling quoting, scheduling, blueprint reading, and quality inspection — the hands-on craft work like fitting parts, grinding, setting up fixtures, and checking tolerances still depends on human skill and judgment that robots can't fully replicate yet. The biggest shift happening right now is that AI is taking over the planning and paperwork side of the shop first, which means the physical fabrication work is more protected in the short term, but change is clearly on its way.
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
Structural metal fabrication is "Somewhat Resilient" because while AI is genuinely changing parts of this job — handling quoting, scheduling, blueprint reading, and quality inspection — the hands-on craft work like fitting parts, grinding, setting up fixtures, and checking tolerances still depends on human skill and judgment that robots can't fully replicate yet. The biggest shift happening right now is that AI is taking over the planning and paperwork side of the shop first, which means the physical fabrication work is more protected in the short term, but change is clearly on its way.
Read full analysisAnalysis of Current AI Resilience
Metal Fabricator
Updated Quarterly • Last Update: 5/14/2026

Right now, AI is being used to help metal fabricators more than it is replacing them. A February 2026 industry report from the Fabricators & Manufacturers Association found that new order activity in metal fabrication is on the rise, as is the demand for automation in nearly every aspect of the business, with quoting and estimating software holding the strongest lead at 46% and scheduling at 34%, showing that AI is mostly handling office and planning work first. On the shop floor, the American Welding Society explained in late 2025 that AI will enter welding in stages — first in training systems, quality inspection, and predictive maintenance, with a bigger role in robotic or automated welding a few years later, and live-arc AI even further away.
Real-world pilots reflect this: in Louisiana, Persona AI is bringing humanoid robots to SSE Steel Fabrication to perform tasks like recognizing factory floor plans, welding sheets of metal and collecting motion-capture data, with an emphasis on augmenting existing workers rather than replacing them. AI is also speeding up the "study the blueprint" task — the American Institute of Steel Construction's new chatbot "Clark" [1] searches the Steel Construction Manual and design guides in seconds, helping fabricators interpret specs faster.

Adoption is moving steadily but cautiously. A big driver is the labor crunch: Manufacturing Dive reported in October 2025 [2] that AI, tightening immigration policies, and an aging workforce are pushing factories to automate. Costs are also dropping — the AWS Welding Digest notes that welding automation is becoming accessible to smaller manufacturers thanks to AI, cobots, and simplified programming that lower costs and reduce complexity.
But several brakes remain. The Fabricator warns that most fabricators are busy working with a mix of legacy databases, custom ERP stacks, decades-old equipment, and lean IT teams, making big AI rollouts hard. There's also rising social pushback — a January 2026 Fabricator column described the beginning of a backlash against aggressive AI, with questions about ethics, unreliable results, and unverified authenticity of photo, video, and text outputs. The good news for young workers: skills like reading complex drawings, setting up fixtures, hammering and grinding parts to fit, and verifying tolerances with squares and tapes still rely on human judgment and hands-on craft.
AI will likely become your power tool — not your replacement — so learning robotics, CAD/CAM, and quality inspection on top of traditional fabrication skills is a smart bet.
FMA survey results from The Fabricator (Feb 2026) [3] · AWS Welding Digest (April 2026) [4] · AWS Welding Journal (Nov 2025) [4] · Technical.ly (Feb 2026) [5] · The Fabricator practical-path article (Feb 2026) [3] · The Fabricator AI backlash blog (Jan 2026) [3]

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They build and shape metal parts for structures by cutting, bending, and assembling them to create strong frameworks for buildings and machines.
Median Wage
$49,900
Jobs (2024)
53,800
Growth (2024-34)
-16.3%
Annual Openings
4,100
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
Smooth workpiece edges and fix taps, tubes, and valves.
Erect ladders and scaffolding to fit together large assemblies.
Install boilers, containers, and other structures.
Align and fit parts according to specifications, using jacks, turnbuckles, wedges, drift pins, pry bars, and hammers.
Mark reference points onto floors or face blocks and transpose them to workpieces, using measuring devices, squares, chalk, and soapstone.
Position, align, fit, and weld parts to form complete units or subunits, following blueprints and layout specifications, and using jigs, welding torches, and hand tools.
Design and construct templates and fixtures, using hand tools.
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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