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.
- Record and report time, materials, faults, deficiencies, or other unusual occurrences on work orders.67
- Adjust system controls to settings recommended by manufacturer to balance system.67
- Test electrical circuits or components for continuity, using electrical test equipment.66
- Connect heating or air conditioning equipment to fuel, water, or refrigerant source to form complete circuit.66
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.
- Install or repair self-contained ground source heat pumps or hybrid ground or air source heat pumps to minimize carbon-based energy consumption and reduce carbon emissions.01
- Install, connect, or adjust thermostats, humidistats, or timers.02
- Install expansion and control valves, using acetylene torches and wrenches.03
- Mount compressor, condenser, and other components in specified locations on frames, using hand tools and acetylene welding equipment.04
- Cut or drill holes in floors, walls, or roof to install equipment, using power saws or drills.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Stationary Engineers and Boiler Operators
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Related work
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Related work
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.
