Will AI replace Floor Layers, Except Carpet, Wood, and Hard Tiles?
Estimated risk score: 4 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 23).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-2042.00 · 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 14 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 14 rated tasks; the first 6 are shown. In O*NET’s words.
- Apply adhesive cement to floor or wall material to join and adhere foundation material.
- Cut covering and foundation materials, according to blueprints and sketches.
- Cut flooring material to fit around obstructions.
- Determine traffic areas and decide location of seams.
- Disconnect and remove appliances, light fixtures, and worn floor and wall covering from floors, walls, and cabinets.
- Form a smooth foundation by stapling plywood or Masonite over the floor or by brushing waterproof compound onto surface and filling cracks with plaster, putty, or grout to seal pores.
What the job is
Apply blocks, strips, or sheets of shock-absorbing, sound-deadening, or decorative coverings to floors.
Also called: Floor Covering Contractor, Floor Coverings Installer, Tiler, Floor Layer, Tile Fitter, Tile Trimmer, Flooring Tech, Linoleum Layer.
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