Will AI Replace Boilermakers? Welding and Fabrication Stay Manual

Boilermakers construct, maintain, and repair the massive steam boilers, pressure vessels, and tanks that power plants, factories, and refineries depend on. It is a job that involves working with extreme heat, heavy steel plate, precision welding, and exacting safety standards. If a boiler fails, the consequences can be catastrophic — measured not in lost revenue but in lives.

That combination of physical demands, safety criticality, and skilled craftsmanship makes this one of the trades that AI has the least traction in. While headlines warn that artificial intelligence is coming for jobs across the economy, the data tells a quieter, more reassuring story for the people who weld, fit, and assemble the steel infrastructure of industrial America.

Low Exposure, Slow Growth

Boilermakers show an overall AI exposure of 11% (2024 data), with an automation risk of 8%, based on our analysis of the Anthropic Labor Market Report (2026), Eloundou et al. (2023), and Brynjolfsson et al. (2025). [Fact]

By 2028, projections put overall exposure at 23% and automation risk at roughly 16%. [Estimate] The theoretical ceiling reaches 38%, but observed real-world exposure remains in the single digits. [Fact] This is a trade where technology adoption is slow and deliberate, and for good reason.

To put those numbers in context: across all 1,016 occupations we track, the median observed exposure sits closer to 35%. Boilermaking comes in at roughly one-third of that figure. The Bureau of Labor Statistics counts approximately 11,200 boilermakers nationally in its Occupational Employment and Wage Statistics, with a median annual wage of $71,140 as of the most recent OEWS release. [Fact] BLS projects -2% employment change through 2034 — a modest contraction driven by industry consolidation rather than automation. [Fact]

Why Boilermaking Resists AI

Welding under pressure — literally. Boiler welds must meet the ASME Boiler and Pressure Vessel Code, one of the most stringent welding standards in industry. The code dictates everything from filler metal selection to heat input limits to post-weld heat treatment requirements. While robotic welding exists in controlled factory environments, field welding on boilers involves working in confined spaces, at awkward angles, and on curved surfaces that vary from job to job. Automated welding systems cannot handle this variability. [Claim]

A robot can lay a perfect bead on a flat plate in a fixture all day long. Ask that same robot to weld inside a 30-inch boiler drum during a two-week outage at a coal-fired power plant in February, with the customer breathing down everyone's neck about restart deadlines, and the equation falls apart. The setup time alone for robotic welding in field conditions exceeds the time it takes a journeyman boilermaker to complete the work by hand.

Alignment and assembly of heavy components. Assembling boiler frame panels, aligning plate sections using plumb bobs and levels, and fitting tubes into headers are tasks that require spatial reasoning, physical strength, and improvisation. Every boiler installation or repair presents unique challenges based on the age, condition, and layout of the facility. The 1960s-era utility boiler at one plant has different access constraints than the modern HRSG at the combined-cycle gas plant down the road. Boilermakers solve these problems on the fly, drawing on apprenticeship training that takes 4-5 years to complete.

Non-destructive testing and inspection. Boilermakers perform or support radiographic, ultrasonic, and other non-destructive tests to verify weld integrity. While AI can assist in analyzing test results — and this is where some of the 11% exposure figure comes from — the actual testing still requires human hands, calibrated equipment, and the judgment of qualified technicians. The American Welding Society and ASNT certifications that govern this work emphasize human accountability. [Fact]

The AI Touchpoints

Where AI does contribute is in predictive maintenance and condition monitoring. Sensors on boiler systems can feed data to AI platforms that predict tube failures, corrosion progression, and optimal maintenance windows. This helps plant operators schedule boilermaker visits more efficiently. Companies like GE, Siemens, and Honeywell have rolled out AI-driven maintenance platforms that promise to reduce unplanned outages by 20-30%. [Claim]

The practical effect on boilermakers is positive. AI-driven scheduling means more predictable work, fewer emergency callouts in the middle of the night, and longer lead times for parts and crew assembly. It is not replacing the work — it is making the work more rational.

Blueprint reading and fabrication planning also benefit from digital tools. CAD-integrated estimation software, augmented-reality plan overlays delivered through tablets and headsets, and AI-assisted material takeoffs are all starting to appear in larger fabrication shops. Yet the actual fabrication remains manual. The shop welder cuts, fits, and welds the same way a skilled tradesperson did in 1985, just with better information.

Outlook by Industry Vertical

Power generation is the largest single employer of boilermakers, with the utility sector accounting for roughly one-third of total employment per BLS industry breakouts. [Fact] Petrochemical processing — refineries, petrochemical plants, ethanol producers — represents another major chunk. Industrial manufacturing (paper mills, food processing, chemical plants) and shipbuilding round out the list.

Within those verticals, the demand picture varies. Coal-fired power generation continues to decline as utilities retire aging units, but those retirements involve substantial decommissioning work — work that requires boilermakers. New nuclear builds (the long-awaited revival of Vogtle-style projects, plus the small modular reactor pilots) need specialized boilermaker skills. Offshore wind installations, floating production storage and offloading vessels for offshore oil, and biomass conversion projects all depend on the same trade.

The installed base of aging equipment alone guarantees steady demand for repair and maintenance work for at least the next 15-20 years. [Claim] Once a coal unit retires, the salvage and demolition phase still needs boilermakers. Once a refinery converts to renewable diesel, the conversion involves substantial new pressure vessel work. The trade follows the energy transition rather than fighting it.

What This Means for Workers

The trade pays well, the work is steady, and AI is not coming for it. If you are a boilermaker, your career security is as solid as the steel you work with — assuming you stay current on certifications, are willing to travel for major outages, and maintain the physical conditioning the job demands.

For workers entering the trade, the path is well-defined: a 4-5 year union apprenticeship through the International Brotherhood of Boilermakers, completion of welding certifications across multiple processes (SMAW, GTAW, FCAW), and accumulating the hours needed for journeyman status. Apprentices earn a percentage of journeyman scale and graduate into a wage that, in many regional markets, exceeds the median for workers with bachelor's degrees.

For employers, the warning is different. The boilermaker workforce is aging — average age across the trade is in the mid-40s — and apprenticeship pipelines have not kept pace with retirements. [Claim] The skills shortage in this trade is not solved by software. It requires recruiting, training, and retaining people willing to do hard physical work in difficult conditions. AI cannot fix that.

View detailed AI impact data for Boilermakers

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AI-assisted analysis based on data from the Anthropic Labor Market Report (2026), Eloundou et al. (2023), Brynjolfsson et al. (2025), Bureau of Labor Statistics OEWS and OOH databases, and ONET task-level classifications. This content is regularly updated as new data becomes available.\*

Update History

• 2026-03-25: Initial publication with 2023-2028 projection data.
• 2026-05-09: Expanded with industry vertical breakdown, ASME welding code context, BLS OEWS wage data, and apprenticeship pipeline analysis.

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