Will AI replace Carpet Installers?
Estimated risk score: 9 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 28).
For the occupation as a whole, from ratings of its 16 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-2041.00 · 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 16 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: 14 of its 16 rated tasks; the first 6 are shown. In O*NET’s words.
- Clean up before and after installation, including vacuuming carpet and discarding remnant pieces.
- Cut and bind material.
- Cut and trim carpet to fit along wall edges, openings, and projections, finishing the edges with a wall trimmer.
- Cut carpet padding to size and install padding, following prescribed method.
- Fasten metal treads across door openings or where carpet meets flooring to hold carpet in place.
- Inspect the surface to be covered to determine its condition, and correct any imperfections that might show through carpet or cause carpet to wear unevenly.
What the job is
Lay and install carpet from rolls or blocks on floors. Install padding and trim flooring materials.
Also called: Carpet Mechanic, Rug Layer, Carpet Layer, Floor Coverer, Floor Technician, Carpet Technician, Carpet Tile Layer, Floor Coverer 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