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 sealing to array, building, or support mechanisms.66
- Program, adjust, or configure inverters and controls for desired set points and operating modes.66
- Diagram layouts and locations for photovoltaic (PV) arrays and equipment, including existing building or site features.64
- Activate photovoltaic (PV) systems to verify system functionality and conformity to performance expectations.64
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.
- Assemble solar modules, panels, or support structures, as specified.01
- Check electrical installation for proper wiring, polarity, grounding, or integrity of terminations.02
- Identify installation locations with proper orientation, area, solar access, or structural integrity for photovoltaic (PV) arrays.03
- Identify electrical, environmental, and safety hazards associated with photovoltaic (PV) installations.04
- Identify methods for laying out, orienting, and mounting modules or arrays to ensure efficient installation, electrical configuration, or system maintenance.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Solar Thermal Installers and Technicians
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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.
