Will AI replace Solar Thermal Installers and Technicians?
Estimated risk score: 11 out of 100
Very low 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 (0 to 30).
For the occupation as a whole, from ratings of its 21 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-2152.04 · Construction and Extraction
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: 0 of its 21 rated tasks. In O*NET’s words.
None of its rated tasks.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 19 of its 21 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply operation or identification tags or labels to system components, as required.
- Apply weather seal, such as pipe flashings and sealants, to roof penetrations and structural devices.
- Connect water heaters and storage tanks to power and water sources.
- Cut, miter, and glue piping insulation to insulate plumbing pipes and fittings.
- Fill water tanks and check tanks, pipes, and fittings for leaks.
- Install circulating pumps using pipe, fittings, soldering equipment, electrical supplies, and hand tools.
What the job is
Install or repair solar energy systems designed to collect, store, and circulate solar-heated water for residential, commercial or industrial use.
Also called: Solar Technician, Solar Maintenance Technician, SHW Installer, Heat Exchanger, Thermal Operator, Thermal Technician, Solar Energy Technician, Solar Thermal Installer.
Closest jobs we score by hand
In the same field (Construction and Extraction). Different jobs, each scored by a person.
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