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Sales · Updated Aug 2026

Solar Sales Representatives and Assessors

Contact new or existing customers to determine their solar equipment needs, suggest systems or equipment, or estimate costs.

JVS 2.0.0-phase4b
AI Exposure
68/100
High

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

Replacement Risk
63/100
High

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
Prepare proposals, quotes, contracts, or presentations for potential solar customers.High
71
Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors.High
68
Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation.High
73
Gather information from prospective customers to identify their solar energy needs.High
71
Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers.High
69
Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates.High
61
Generate solar energy customer leads to develop new accounts.High
71
Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software.High
70
Create customized energy management packages to satisfy customer needs.High
70
Demonstrate use of solar and related equipment to customers or dealers.Medium
70
Prepare or review detailed design drawings, specifications, or lists related to solar installations.High
48
Most exposed

Where AI can do more

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

  1. Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation.73
  2. Prepare proposals, quotes, contracts, or presentations for potential solar customers.71
  3. Gather information from prospective customers to identify their solar energy needs.71
  4. Generate solar energy customer leads to develop new accounts.71
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. Prepare or review detailed design drawings, specifications, or lists related to solar installations.01
  2. Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation.02
  3. Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software.03
  4. Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates.04
  5. Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors.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.

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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 dependency50
Physical dependency31
Adoption pressure58
Labour-market resilience59
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 →