AI exposure by occupation, O*NET 41-4011.07
Will AI replace Solar Sales Representatives and Assessors?
Solar Sales Representatives and Assessors: AI can already handle 11 of 13 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 13 tasks O*NET 30.3 lists for Solar Sales Representatives and Assessors, from most to least exposed. 11 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation. | Estimated | Standard | |
| Prepare proposals, quotes, contracts, or presentations for potential solar customers. | Estimated | Frontier | |
| Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors. | Estimated | Frontier | |
| Gather information from prospective customers to identify their solar energy needs. | Estimated | Efficient | |
| Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers. | Estimated | Efficient | |
| Take quote requests or orders from dealers or customers. | Estimated | Efficient | |
| Create customized energy management packages to satisfy customer needs. | Estimated | Frontier | |
| Demonstrate use of solar and related equipment to customers or dealers. | Estimated | Frontier | |
| Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software. | Estimated | Standard | |
| Prepare or review detailed design drawings, specifications, or lists related to solar installations. | Estimated | Frontier | |
| Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates. | Observed | Efficient | |
| Generate solar energy customer leads to develop new accounts. | Estimated | Standard | |
| Develop marketing or strategic plans for sales territories. | Observed | Standard |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 2 of 13 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 11 of 13. 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 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
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
- 284,800
- Median annual wage
- $104,920
- Middle half of earners
- $75,030 to $158,160
- Projected change, 2024 to 2034
- +1.9%
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.
- Solar Energy Systems Engineers 74% skill overlap, about 10 months to move Exposure58
- Solar Photovoltaic Installers 67% skill overlap, about 12 months to move Exposure29
- Solar Energy Installation Managers 63% skill overlap, about 13 months to move Exposure35
- Solar Thermal Installers and Technicians 63% skill overlap, about 13 months to move Exposure27
- Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel 61% skill overlap, about 14 months to move Exposure61
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Solar Sales Representatives and Assessors and AI
Will AI replace Solar Sales Representatives and Assessors?
AI already handles 11 of the 13 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 69 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 +1.9% from 2024 to 2034.
What is the AI exposure of Solar Sales Representatives and Assessors?
69 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. 2 of the 13 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 11 are estimated from each task's O*NET work activity.
Which Solar Sales Representatives and Assessors tasks can AI already do?
The tasks with the highest exposure are: Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation; Prepare proposals, quotes, contracts, or presentations for potential solar customers; Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors. They are three of the 11 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 100% 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 Sales Representatives and Assessors, and what do they earn?
284,800 people in the United States, with a median annual wage of $104,920 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +1.9% 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 Sales Representatives and Assessors. 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-sales-representatives-and-assessors
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