Will AI replace Carpet Installers?
AI reaches little of this job’s work.
2/100
Low exposure
More exposed to AI than 7% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 5% of the work
What the job involves
Lay and install carpet from rolls or blocks on floors. Install padding and trim flooring materials.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(1)
- Draw building diagrams and record dimensions.
Out of reach(15)
- Plan the layout of the carpet, allowing for expected traffic patterns and placing seams for best appearance and longest wear.
- Cut and trim carpet to fit along wall edges, openings, and projections, finishing the edges with a wall trimmer.
- Roll out, measure, mark, and cut carpeting to size with a carpet knife, following floor sketches and allowing extra carpet for final fitting.
- 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.
- Install carpet on some floors using adhesive, following prescribed method.
and 10 more
Also called
Carpet Layer · Floor Coverer · Carpet Tile Layer · Rug Layer · Carpet Flooring Installer · Carpet Mechanic · Commercial Floor Covering Installer · Floor Covering Installer
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics