AI exposure by occupation, O*NET 47-1011.03

Will AI replace Solar Energy Installation Managers?

Solar Energy Installation Managers: AI can already handle 2 of 15 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 15 tasks O*NET 30.3 lists for Solar Energy Installation Managers, from most to least exposed. 2 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Assess system performance or functionality at the system, subsystem, and component levels. 65 Estimated Standard 3.8
Assess potential solar installation sites to determine feasibility and design requirements. 65 Estimated Standard 3.8
Plan and coordinate installations of photovoltaic (PV) solar and solar thermal systems to ensure conformance to codes. 50 Estimated Standard 4.4
Coordinate or schedule building inspections for solar installation projects. 50 Estimated Frontier 4.0
Develop and maintain system architecture, including all piping, instrumentation, or process flow diagrams. 50 Estimated Frontier 3.8
Monitor work of contractors and subcontractors to ensure projects conform to plans, specifications, schedules, or budgets. 50 Estimated Frontier 3.8
Evaluate subcontractors or subcontractor bids for quality, cost, and reliability. 40 Observed Efficient 3.5
Supervise solar installers, technicians, and subcontractors for solar installation projects to ensure compliance with safety standards. 20 Estimated Standard 4.3
Estimate materials, equipment, and personnel needed for residential or commercial solar installation projects. 20 Estimated Standard 4.1
Prepare solar installation project proposals, quotes, budgets, or schedules. 20 Estimated Efficient 4.0
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. 20 Estimated Efficient 4.0
Identify means to reduce costs, minimize risks, or increase efficiency of solar installation projects. 20 Estimated Efficient 3.8
Purchase or rent equipment for solar energy system installation. 20 Estimated Standard 3.2
Perform start-up of systems for testing or customer implementation. 15 Estimated No tier 4.0
Visit customer sites to determine solar system needs, requirements, or specifications. 15 Estimated No tier 3.5

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 1 of 15 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 14 of 15. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 87% of the role's importance-weighted task work. 87% of the work is something AI can address at some tier, and 13% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
812,210
Median annual wage
$79,920
Middle half of earners
$63,400 to $101,460
Projected change, 2024 to 2034
+5.3%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Solar Energy Installation Managers and AI

Will AI replace Solar Energy Installation Managers?

AI already handles 2 of the 15 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 35 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +5.3% from 2024 to 2034.

What is the AI exposure of Solar Energy Installation Managers?

35 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 1 of the 15 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 14 are estimated from each task's O*NET work activity.

Which Solar Energy Installation Managers tasks can AI already do?

The tasks with the highest exposure are: Assess system performance or functionality at the system, subsystem, and component levels; Assess potential solar installation sites to determine feasibility and design requirements. They are the tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 87% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Solar Energy Installation Managers, and what do they earn?

812,210 people in the United States, with a median annual wage of $79,920 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +5.3% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Solar Energy Installation Managers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/solar-energy-installation-managers

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