Solar Sales Representatives and Assessors
Sales and Related Occupations- O*NET-SOC code
- 41-4011.07
Contact new or existing customers to determine their solar equipment needs, suggest systems or equipment, or estimate costs.
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.271
0.000Range of values carried here0.745Group-level value
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.49–0.51· 3 ISCO-08 groups
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
ILO value for each linked ISCO-08 group
- ISCO-08 2433Technical and Medical Sales Professionals (excluding ICT)0.50
- ISCO-08 2434Information and Communications Technology Sales Professionals0.51
- ISCO-08 3322Commercial Sales Representatives0.49
Task-level exposure
Exposed tasks only13 rated tasks · 12 tasks with β ≥ 0.5 (92.3%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- All rated tasks are in the O*NET 31.0 task list.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
| Task (O*NET 20.1) | Claude.aiRaw / share % |
|---|---|
Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers.41-4011.07 | 0.008640.4 |
Provide customers with information such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates.41-4011.07 | 0.005325.0 |
Generate solar energy customer leads to develop new accounts.41-4011.07 | 0.002612.0 |
Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation.41-4011.07 | 0.002511.5 |
Prepare proposals, quotes, contracts, or presentations for potential solar customers.41-4011.07 | 0.002411.1 |
| Not observed on any surface — 8 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors. | —0 |
Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software. | —0 |
Create customized energy management packages to satisfy customer needs. | —0 |
Develop marketing or strategic plans for sales territories. | —0 |
Gather information from prospective customers to identify their solar energy needs. | —0 |
Prepare or review detailed design drawings, specifications, or lists related to solar installations. | —0 |
Take quote requests or orders from dealers or customers. | —0 |
Demonstrate use of solar and related equipment to customers or dealers. | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Generate solar energy customer leads to develop new accounts.O*NET Task ID 17654 | 0.5 |
Prepare proposals, quotes, contracts, or presentations for potential solar customers.O*NET Task ID 17655 | 0.5 |
Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors.O*NET Task ID 17656 | 0.5 |
Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software.O*NET Task ID 17657 | 0.5 |
Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation.O*NET Task ID 17658 | 0.5 |
Create customized energy management packages to satisfy customer needs.O*NET Task ID 17659 | 0.5 |
Develop marketing or strategic plans for sales territories.O*NET Task ID 17660 | 0.5 |
Gather information from prospective customers to identify their solar energy needs.O*NET Task ID 17661 | 0.5 |
Prepare or review detailed design drawings, specifications, or lists related to solar installations.O*NET Task ID 17662 | 0.5 |
Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates.O*NET Task ID 17663 | 0.5 |
Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers.O*NET Task ID 17664 | 0.5 |
Take quote requests or orders from dealers or customers.O*NET Task ID 17665 | 0.5 |
Demonstrate use of solar and related equipment to customers or dealers.O*NET Task ID 17666 | 0.0 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (13)
All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.
| Task (O*NET 31.0) | Type |
|---|---|
| Generate solar energy customer leads to develop new accounts. | Core |
| Prepare proposals, quotes, contracts, or presentations for potential solar customers. | Core |
| Select solar energy products, systems, or services for customers based on electrical energy requirements, site conditions, price, or other factors. | Core |
| Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software. | Core |
| Calculate potential solar resources or solar array production for a particular site considering issues such as climate, shading, and roof orientation. | Core |
| Create customized energy management packages to satisfy customer needs. | Core |
| Develop marketing or strategic plans for sales territories. | Core |
| Gather information from prospective customers to identify their solar energy needs. | Core |
| Prepare or review detailed design drawings, specifications, or lists related to solar installations. | Core |
| Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates. | Core |
| Provide technical information about solar power, solar systems, equipment, and services to potential customers or dealers. | Core |
| Take quote requests or orders from dealers or customers. | Core |
| Demonstrate use of solar and related equipment to customers or dealers. | Core |
0.18/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
Robot environment tiers (E0–E3)
E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site
Only tasks classified as physical are listed; other tasks have no tier in the source.
| Task (O*NET 29.3) | Robot environment tier |
|---|---|
| Assess sites to determine suitability for solar equipment, using equipment such as tape measures, compasses, and computer software. | E3 unstructured settings |
Occupation information
Employment outlook (BLS)
Values for the whole SOC 41-4011 group (Sales representatives, wholesale and manufacturing, technical and scientific products), not for this O*NET occupation alone.
- Employment, 2025
- 292K
- Projected employment, 2035
- 296K
- Change (2025–35)
- +1.2%
- Median annual wage, 2025
- $104,920
- Typical education needed for entry
- Bachelor's degree
Korea classification links (KSCO)
Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.
| KSCO code | KSCO title | Relation | Status |
|---|---|---|---|
| 28439 | 그 외 기술 영업원 | This occupation is narrower | confirmed |
Relation and status definitions(kr-direct v1.1)
ILO occupational description
AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.
- ISCO-08 2433Technical and Medical Sales Professionals (excluding ICT)
- ISCO-08 2434Information and Communications Technology Sales Professionals
- ISCO-08 3322Commercial Sales Representatives
Sources: ILO ISCO-08 — details: Credits
ESCO occupational vocabulary
Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.
- solar energy sales consultantESCO 2433.5Same scope
Solar energy sales consultants provide advice on solar energy for domestic or industrial purposes, and aim to promote the use of solar energy as an alternative and more sustainable source of energy. They communicate with prospective clients, and attend networking events, to ensure increased sales of solar energy products.
- energy consultantESCO 3112.7This occupation is narrower
Energy consultants advise clients on the advantages and disadvantages of different energy sources. They help clients to understand energy tariffs and try to reduce their energy consumption and carbon footprint by using energy efficient products and methods.
- renewable energy consultantESCO 2433.3This occupation is narrower
Renewable energy consultants advise clients on the advantages and disadvantages of different renewable energy sources. They conduct surveys and interviews to research demand of and opinions on renewable energy, and strive to advise clients on the most advantageous source of renewable energy for their purpose.
- renewable energy sales representativeESCO 3322.1.2This occupation is narrower
Renewable energy sales representatives assess clients' energy supply needs, and attempt to secure sales of renewable energy methods. They promote renewable energy suppliers and the use of renewable energy products, and liaise with consumers to increase sales.
Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
License: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
France classification links (ROME)
AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.
| ROME code | ROME title (French) | Relation |
|---|---|---|
| D1402 | Commercial / Commerciale grands comptes et entreprises | Related, not a match |
| D1407 | Technico-commercial / Technico-commerciale | Related, not a match |
| F1114 | Conseiller / Conseillère en rénovation énergétique | Related, not a match |
Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.
ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.
(AI Changing Work link release: fr-direct v1)
Spain classification links (CNO-11)
AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.
| CNO-11 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 3510 | Agentes y representantes comerciales | This occupation is narrowerprovisional |
| 2640 | Profesionales de ventas técnicas y médicas (excepto las TIC) | Related, not a matchprovisional |
Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.
(AI Changing Work link release: es-direct v1)
Germany classification links (KldB)
AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.
| KldB code | KldB title (German) | Relation |
|---|---|---|
| 61123 | Berufe im Vertrieb (außer Informations- und Kommunikationstechnologien) - komplexe Spezialistentätigkeiten | This occupation is narrower |
| 26243 | Berufe in der regenerativen Energietechnik - komplexe Spezialistentätigkeiten | Related, not a match |
| 42313 | Berufe in der Umweltschutzverwaltung und -beratung - komplexe Spezialistentätigkeiten | Related, not a match |
Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.
(AI Changing Work link release: de-direct v1)
Japan classification links (JSCO)
AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.
| JSCO code | JSCO title (Japanese) | Relation |
|---|---|---|
| 344 | 機械器具営業職業従事者（通信機械器具を除く） | This occupation is narrower |
Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.
(AI Changing Work link release: jp-direct v1)
Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources