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.
- Develop and maintain system architecture, including all piping, instrumentation, or process flow diagrams.66
- Assess system performance or functionality at the system, subsystem, and component levels.66
- Perform start-up of systems for testing or customer implementation.59
- Monitor work of contractors and subcontractors to ensure projects conform to plans, specifications, schedules, or budgets.50
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.
- Provide technical assistance to installers, technicians, or other solar professionals in areas such as solar electric systems, solar thermal systems, electrical systems, or mechanical systems.01
- Identify means to reduce costs, minimize risks, or increase efficiency of solar installation projects.02
- Supervise solar installers, technicians, and subcontractors for solar installation projects to ensure compliance with safety standards.03
- Develop and maintain system architecture, including all piping, instrumentation, or process flow diagrams.04
- Perform start-up of systems for testing or customer implementation.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Solar Photovoltaic Installers
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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.
