Will AI replace Solar Sales Representatives and Assessors?
Estimated risk score: 69 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (50 to 88).
For the occupation as a whole, from ratings of its 13 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 41-4011.07 · Sales and Related
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 5 of its 13 rated tasks. In O*NET’s words.
- 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.
- Prepare proposals, quotes, contracts, or presentations for potential solar customers.
- Provide customers with information, such as quotes, orders, sales, shipping, warranties, credit, funding options, incentives, or tax rebates.
- Take quote requests or orders from dealers or customers.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 13 rated tasks. In O*NET’s words.
- Demonstrate use of solar and related equipment to customers or dealers.
What the job is
Contact new or existing customers to determine their solar equipment needs, suggest systems or equipment, or estimate costs.
Also called: Solar Consultant, Solar Sales Consultant, Solar Sales Representative (Solar Sales Rep), Solar Advisor, Solar Sales Rep, Solar Outreach Rep, Solar Sales Advisor, Retail Solar Advisor.
Closest jobs we score by hand
In the same field (Sales and Related). Different jobs, each scored by a person.
Related jobs, estimated
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate