Construction & Extraction · Updated Aug 2026

Solar Energy Installation Managers

Direct work crews installing residential or commercial solar photovoltaic or thermal systems.

JVS 2.0.0-phase4b
AI Exposure
40/100
Moderate

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
38/100
Low

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

Evidence quality
Confidence83/100
Task coverage89%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Plan and coordinate installations of photovoltaic (PV) solar and solar thermal systems to ensure conformance to codes.High
44
Develop and maintain system architecture, including all piping, instrumentation, or process flow diagrams.Medium
66
Perform start-up of systems for testing or customer implementation.Medium
59
Assess system performance or functionality at the system, subsystem, and component levels.Medium
66
Estimate materials, equipment, and personnel needed for residential or commercial solar installation projects.High
36
Monitor work of contractors and subcontractors to ensure projects conform to plans, specifications, schedules, or budgets.Medium
50
Prepare solar installation project proposals, quotes, budgets, or schedules.High
37
Supervise solar installers, technicians, and subcontractors for solar installation projects to ensure compliance with safety standards.High
23
Coordinate or schedule building inspections for solar installation projects.Medium
38
Assess potential solar installation sites to determine feasibility and design requirements.Medium
40
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.High
21
Identify means to reduce costs, minimize risks, or increase efficiency of solar installation projects.Medium
21
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Develop and maintain system architecture, including all piping, instrumentation, or process flow diagrams.66
  2. Assess system performance or functionality at the system, subsystem, and component levels.66
  3. Perform start-up of systems for testing or customer implementation.59
  4. Monitor work of contractors and subcontractors to ensure projects conform to plans, specifications, schedules, or budgets.50
Hardest to automate

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.

  1. 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
  2. Identify means to reduce costs, minimize risks, or increase efficiency of solar installation projects.02
  3. Supervise solar installers, technicians, and subcontractors for solar installation projects to ensure compliance with safety standards.03
  4. Develop and maintain system architecture, including all piping, instrumentation, or process flow diagrams.04
  5. Perform start-up of systems for testing or customer implementation.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

See all rankings →
Beyond AI capability

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.

Human dependency77
Physical dependency50
Adoption pressure41
Labour-market resilience77
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →