Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Boilermakers:

52.3%

Median Score

Meaningful human contribution

High

Long-term employer demand

Low

Sustained economic opportunity

High

Our confidence in this score:
Low-medium

Contributing sources

Methodology and Scoring Rationale

To score how resilient boilermaker work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For boilermakers, 5 of 8 sources had data. The AI exposure sources mostly agreed: AI Resilience Model and Microsoft both rated human contribution high, while Will Robots Take My Job landed in the middle. Confidence is low-medium, partly because three sources had no data. Strong pay offsets a weak hiring outlook, landing boilermakers at "Mostly Resilient."

AI Resilience Report forBoilermakers

$76,410 median salary700 annual openingsSOC Code: 47-2011.00

Boilermakers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.

Boilermaking earns a "Mostly Resilient" label because the core of the job, fitting up massive pressure vessels, troubleshooting leaks, and working safely in tight or unpredictable spaces like refineries and power plants, still requires the kind of hands-on human judgment that AI simply cannot replicate. Some tasks are shifting, though: robotic welding cells and AI inspection tools are taking over repetitive shop welding and real-time quality checks, so boilermakers may do less of that specific work over time.

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This role is mostly resilient

Boilermaking earns a "Mostly Resilient" label because the core of the job, fitting up massive pressure vessels, troubleshooting leaks, and working safely in tight or unpredictable spaces like refineries and power plants, still requires the kind of hands-on human judgment that AI simply cannot replicate. Some tasks are shifting, though: robotic welding cells and AI inspection tools are taking over repetitive shop welding and real-time quality checks, so boilermakers may do less of that specific work over time.

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Analysis of Current AI Resilience

Boilermakers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Boilermakers jobs?

Boilermaking is a hands-on trade, but AI is starting to show up in the parts of the job that involve inspection, measurement, and welding. In steel fabrication shops, AI-guided robotic arms with vision sensors now move along weld seams with sub-millimetre accuracy, automatically compensating for part-to-part variation, thermal distortion, and joint gaps, and modern six-axis welding cells can deliver deposition rates three to five times faster than a skilled manual welder while keeping defect rates below 1 percent [1]. For quality checks, AI inspection systems now analyze welds in real time against ISO 5817 quality levels, flagging porosity, undercut, and incomplete fusion as the weld is being made [1].

Companies like Kiwa are also using drones with ultrasonic thickness payloads and AI-powered defect annotation to inspect pressure vessels, tanks, and piping [2] — exactly the kind of work boilermakers do. Even finishing is being automated: a new AI-powered grinding robot can now autonomously prepare weld bevels on heavy plate [3]. Still, most boilermaker work happens at power plants, refineries, and construction sites — messy, one-off environments where AI mainly augments human welders rather than replacing them.

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AI Adoption

How fast is AI adoption growing for Boilermakers?

Adoption is being pushed hard by labor shortages. The American Welding Society estimates a U.S. shortage of roughly 400,000 welders, with the industry needing 320,500 new professionals by 2029 [1], and Deloitte reports that "equipping workers with the skills and knowledge they need to maximize the potential of smart manufacturing" [4] is the top concern for over a third of manufacturing executives. Manufacturing publications also frame automation as a retention tool, arguing that welding manipulators, cobots, and AI can ease fatigue and attract new talent rather than replace skilled workers [5].

Adoption will likely stay slower for field boilermakers than for shop welders because strict codes (ASME BPVC, AWS D1.1), unpredictable job sites, and confined-space repairs still require human judgment. The U.S. Bureau of Labor Statistics projects boilermaker employment to decline 2 percent from 2025 to 2035, with about 700 openings each year [6] — mostly from retirements. The good news: reading blueprints, troubleshooting leaks, and safely fitting up massive vessels are exactly the skills AI is worst at, so young boilermakers who learn to work with robotic welders and AI inspection tools will be especially valuable.

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Will AI replace Boilermakers?

Will AI replace Boilermakers?

No. We don't think AI will replace Boilermakers, though we do expect the job to change.

That's the core of our 52.3% AI Resilience Score. AI is genuinely reshaping parts of this trade. Robotic welding cells can now run three to five times faster than a skilled manual welder while keeping defect rates below 1 percent [1], and AI inspection systems flag weld defects in real time against international quality standards [1]. Drones with ultrasonic sensors are even being used to inspect pressure vessels and tanks [2]. That's real change, and it's worth taking seriously.

But most boilermaker work happens at power plants, refineries, and construction sites: cramped, unpredictable environments where AI assists rather than replaces. Reading blueprints, troubleshooting leaks, and fitting up massive vessels under strict codes like ASME BPVC still require human judgment that AI simply doesn't have. The industry is also facing a serious labor shortage, with demand for hundreds of thousands of new welding professionals by 2029 [1], and many manufacturers see automation as a way to attract workers, not eliminate them [5].

Job openings are modest, around 700 per year mostly from retirements [6], so this isn't a booming field. But boilermakers who learn to work alongside robotic and AI tools will be the most valuable ones in the room.

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Latest AI news for Boilermakers

These articles highlight the evolving landscape of careers for boilermakers in the age of AI. For instance, Boilermakers Local 92 is adapting training processes to meet increasing labor demands, indicating a robust job market. Additionally, AI is enhancing job planning and inspections, making work more efficient rather than replacing jobs. This suggests that while technology changes the field, it also offers opportunities for those who embrace these innovations, ensuring a resilient future in the boilermaking profession.

More Career Info

Career: Boilermakers

They build and repair large containers like boilers and tanks, ensuring they safely hold gases and liquids used in factories and power plants.

Employment & Wage Data

Median Wage

$76,410

Jobs (2025)

10,200

Growth (2025-35)

-1.8%

Annual Openings

700

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

94% ResilienceCore Task

Repair or replace defective pressure vessel parts, such as safety valves or regulators, using torches, jacks, caulking hammers, power saws, threading dies, welding equipment, or metalworking machinery...

2

94% ResilienceCore Task

Straighten or reshape bent pressure vessel plates or structure parts, using hammers, jacks, or torches.

3

94% ResilienceSupplemental

Install refractory bricks or other heat-resistant materials in fireboxes of pressure vessels.

4

93% ResilienceCore Task

Bell, bead with power hammers, or weld pressure vessel tube ends to ensure leakproof joints.

5

93% ResilienceCore Task

Install manholes, handholes, taps, tubes, valves, gauges, or feedwater connections in drums of water tube boilers, using hand tools.

6

93% ResilienceCore Task

Shape seams, joints, or irregular edges of pressure vessel sections or structural parts to attain specified fit of parts, using cutting torches, hammers, files, or metalworking machines.

7

93% ResilienceCore Task

Shape or fabricate parts, such as stacks, uptakes, or chutes, to adapt pressure vessels, heat exchangers, or piping to premises, using heavy-metalworking machines such as brakes, rolls, or drill press...

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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