Plumbers, Pipefitters, and Steamfitters: daily tasks & AI impact
This page breaks Plumbers, Pipefitters, and Steamfitters into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 14/100 (Lower automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Shut off steam, water, or other gases or liquids from pipe sections, using valve keys or wrenches. Core | 4.19 | — | — |
| Install underground storm, sanitary, or water piping systems, extending piping as needed to connect fixtures and plumbing. Core | 4.18 | — | — |
| Assemble pipe sections, tubing, or fittings, using couplings, clamps, screws, bolts, cement, plastic solvent, caulking, or soldering, brazing, or welding equipment. Core | 4.16 | — | — |
| Locate and mark the position of pipe installations, connections, passage holes, or fixtures in structures, using measuring instruments such as rulers or levels. Core | 4.14 | — | — |
| Cut, thread, or hammer pipes to specifications, using tools such as saws, cutting torches, pipe threaders, or pipe benders. Core | 4.12 | — | — |
| Lay out full scale drawings of pipe systems, supports, or related equipment, according to blueprints. Core | 4.11 | — | — |
| Plan pipe system layout, installation, or repair, according to specifications. Core | 4.07 | — | — |
| Review blueprints, building codes, or specifications to determine work details or procedures. Core | 4.05 | — | — |
| Select pipe sizes, types, or related materials, such as supports, hangers, or hydraulic cylinders, according to specifications. Core | 4.03 | — | — |
| Fill pipes or plumbing fixtures with water or air and observe pressure gauges to detect and locate leaks. Core | 4.02 | — | — |
| Direct helpers engaged in pipe cutting, preassembly, or installation of plumbing systems or components. Core | 4.01 | — | — |
| Inspect, examine, or test installed systems or pipe lines, using pressure gauge, hydrostatic testing, observation, or other methods. Core | 3.99 | — | — |
| Install pipe assemblies, fittings, valves, appliances such as dishwashers or water heaters, or fixtures such as sinks or toilets, using hand or power tools. Core | 3.99 | — | — |
| Anchor steel supports from ceiling joists to hold pipes in place. Core | 3.93 | — | — |
| Attach pipes to walls, structures, or fixtures, such as radiators or tanks, using brackets, clamps, tools, or welding equipment. Core | 3.92 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Plumbers, Pipefitters, and Steamfitters tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Plumbers, Pipefitters, and Steamfitters tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Plumbers, Pipefitters, and Steamfitters task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.