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.
- Apply weather seal, such as pipe flashings and sealants, to roof penetrations and structural devices.70
- Fill water tanks and check tanks, pipes, and fittings for leaks.70
- Connect water heaters and storage tanks to power and water sources.70
- Demonstrate start-up, shut-down, maintenance, diagnostic, and safety procedures to thermal system owners.69
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 copper or plastic plumbing using pipes, fittings, pipe cutters, acetylene torches, solder, wire brushes, sand cloths, flux, plastic pipe cleaners, or plastic glue.01
- Cut, miter, and glue piping insulation to insulate plumbing pipes and fittings.02
- Identify plumbing, electrical, environmental, or safety hazards associated with solar thermal installations.03
- Install solar collector mounting devices on tile, asphalt, shingle, or built-up gravel roofs, using appropriate materials and penetration methods.04
- Install circulating pumps using pipe, fittings, soldering equipment, electrical supplies, and hand tools.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
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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.
