# Solar Sales Representatives and Assessors

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

- **SOC code:** 41-4011.07
- **Canonical URL:** https://singulariki.com/roles/role-41-4011-07
- **Also known as:** Energy Consultant, Solar Consultant, Solar Sales Consultant, Solar Sales Representative (Solar Sales Rep), Sales Associate, Sales Consultant, Sales Representative (Sales Rep), Salesman
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- 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.
- Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates.
- Gather information from prospective customers to identify their solar energy needs.
- Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation.
- Generate solar energy customer leads to develop new accounts.
- Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers.
- Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software.
- Take quote requests or orders from dealers or customers.
- Prepare or review detailed design drawings, specifications, or lists related to solar installations.
- Create customized energy management packages to satisfy customer needs.
- Develop marketing or strategic plans for sales territories.

**Emerging tasks** (O*NET):
- Log client information and sales leads into tracking documents or software.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Customer and Personal Service _(knowledge)_
- Sales and Marketing _(knowledge)_
- Speaking _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Design _(knowledge)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Persuasion _(transferable_skill)_
- Service Orientation _(transferable_skill)_
- Written Comprehension _(ability)_
- Speech Clarity _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Mathematics _(Common Skill)_
- Speech Recognition _(Specialized Skill)_
- Social Perceptiveness _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Active Listening _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Negotiation _(Common Skill)_
- Writing _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_

**Tools & technology:**
- Salesforce software _(hot technology, in demand)_
- Adobe Acrobat _(hot technology)_
- Autodesk AutoCAD _(hot technology)_
- Google Workspace software _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft Word _(hot technology)_
- Trimble SketchUp Pro _(hot technology)_
- Zoom _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 85th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 70th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 82nd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 91st percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 37th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.9% growth (About average); 27.2k annual openings; 303.2k → 308.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $100,070; 293,930 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 22% automation, 52% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Provide customers with information such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates. _(0.7% of measured AI use; directive)_
- Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers. _(0.7% of measured AI use; learning)_
- Develop marketing or strategic plans for sales territories. _(0.4% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me provide customers with information such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates.
- Help me provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers.
- Help me develop marketing or strategic plans for sales territories.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-41-4011-07_