AI exposure by occupation, O*NET 47-2041.00

Will AI replace Carpet Installers?

Carpet Installers: AI can already handle 1 of 16 tasks; most of the work is hands-on, and the part AI can address mostly needs a standard-tier model.

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Every task, scored

The 16 tasks O*NET 30.3 lists for Carpet Installers, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Take measurements and study floor sketches to calculate the area to be carpeted and the amount of material needed. 80 Estimated Efficient 4.3
Plan the layout of the carpet, allowing for expected traffic patterns and placing seams for best appearance and longest wear. 50 Estimated Standard 4.4
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. 20 Estimated Efficient 4.5
Measure, cut and install tackless strips along the baseboard or wall. 20 Estimated Efficient 4.0
Roll out, measure, mark, and cut carpeting to size with a carpet knife, following floor sketches and allowing extra carpet for final fitting. 15 Estimated No tier 4.5
Join edges of carpet and seam edges where necessary, by sewing or by using tape with glue and heated carpet iron. 15 Estimated No tier 4.5
Cut and trim carpet to fit along wall edges, openings, and projections, finishing the edges with a wall trimmer. 15 Estimated No tier 4.5
Stretch carpet to align with walls and ensure a smooth surface, and press carpet in place over tack strips or use staples, tape, tacks or glue to hold carpet in place. 15 Estimated No tier 4.4
Nail tack strips around area to be carpeted or use old strips to attach edges of new carpet. 15 Estimated No tier 4.0
Fasten metal treads across door openings or where carpet meets flooring to hold carpet in place. 15 Estimated No tier 4.0
Draw building diagrams and record dimensions. 15 Estimated No tier 3.8
Move furniture from area to be carpeted and remove old carpet and padding. 15 Estimated No tier 3.7
Cut and bind material. 15 Estimated No tier 3.5
Clean up before and after installation, including vacuuming carpet and discarding remnant pieces. 12 Estimated No tier 4.1
Install carpet on some floors using adhesive, following prescribed method. 10 Estimated No tier 4.3
Cut carpet padding to size and install padding, following prescribed method. 10 Estimated No tier 4.0

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 16 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 16 of 16. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 26% of the role's importance-weighted task work. 26% of the work is something AI can address at some tier, and 74% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
13,780
Median annual wage
$50,340
Middle half of earners
$41,970 to $66,320
Projected change, 2024 to 2034
-9.6%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Carpet Installers and AI

Will AI replace Carpet Installers?

AI already handles 1 of the 16 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 21 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by -9.6% from 2024 to 2034.

What is the AI exposure of Carpet Installers?

21 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 16 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 16 are estimated from each task's O*NET work activity.

Which Carpet Installers tasks can AI already do?

The tasks with the highest exposure are: Take measurements and study floor sketches to calculate the area to be carpeted and the amount of material needed. It is the only task that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 26% of the role's importance-weighted task work, and 74% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Carpet Installers, and what do they earn?

13,780 people in the United States, with a median annual wage of $50,340 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -9.6% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Carpet Installers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/carpet-installers

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