How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Report hazardous field situations and damaged or missing meters.69
- Calibrate instrumentation, such as meters, gauges, and regulators, for pressure, temperature, flow, and level.68
- Lubricate wearing surfaces of mechanical parts, using oils or other lubricants.68
- Connect regulators to test stands, and turn screw adjustments until gauges indicate that inlet and outlet pressures meet specifications.68
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Disassemble and repair mechanical control devices or valves, such as regulators, thermostats, or hydrants, using power tools, hand tools, and cutting torches.01
- Shut off service and notify repair crews when major repairs are required, such as the replacement of underground pipes or wiring.02
- Repair leaks in valve seats or bellows of automotive heater thermostats, using soft solder, flux, and acetylene torches.03
- Replace defective parts, such as bellows, range springs, and toggle switches, and reassemble units according to blueprints, using cam presses and hand tools.04
- Measure tolerances of assembled and salvageable parts for conformance to standards or specifications, using gauges, micrometers, and calipers.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Industrial Machinery Mechanics
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Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
