Will AI replace Tile and Stone Setters?
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 25 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 47-2044.00 · 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: 1 of its 25 rated tasks. In O*NET’s words.
- Prepare cost and labor estimates, based on calculations of time and materials needed for project.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 21 of its 25 rated tasks; the first 6 are shown. In O*NET’s words.
- Align and straighten tile using levels, squares, and straightedges.
- Apply a sealer to make grout stain- and water-resistant.
- Apply mortar to tile back, position the tile, and press or tap with trowel handle to affix tile to base.
- Cut and shape tile to fit around obstacles and into odd spaces and corners, using hand and power cutting tools.
- Cut, surface, polish, and install marble and granite or install pre-cast terrazzo, granite or marble units.
- Finish and dress the joints and wipe excess grout from between tiles, using damp sponge.
What the job is
Apply hard tile, stone, and comparable materials to walls, floors, ceilings, countertops, and roof decks.
Also called: Tile and Marble Installer, Tile Man, Tile Mason, Mosaic Layer, Tile Erector, Marble Worker, Mosaic Worker, Bathroom Fitter.
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