Will AI replace boilermakers?
Unlikely. Most of the work is hard for today's AI to speed up. Boilermakers score 3 out of 100 (low exposure), #856 of 923 US jobs. AI could speed up 1 of the job's 17 tasks, 0 of them on its own, while 16 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which boilermakers tasks can AI do?
The most exposed tasks include "Study blueprints to determine locations, relationships, or dimensions of parts".
Which boilermakers tasks are hardest for AI?
Tasks with little or no AI speed-up include "Attach rigging and signal crane or hoist operators to lift heavy frame and plate sections or other parts into place"; "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"; "Locate and mark reference points for columns or plates on boiler foundations, following blueprints and using straightedges, squares, transits, or measuring instruments".
Are people already using AI for this work?
Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.
How many people work as boilermakers, and what do they earn?
About 10,190 people in the US, with median pay of $76,410 a year (BLS, May 2025).