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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
50.5%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forCarpet Installers
Carpet Installers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
Carpet installation is labeled as "Mostly Resilient" because it still largely relies on human skills like dexterity and problem-solving, which are hard for machines to replicate. While technology like design apps can assist with planning, the actual work of measuring, fitting, and nailing down carpet requires a personal touch and adaptability to unexpected challenges.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
Carpet installation is labeled as "Mostly Resilient" because it still largely relies on human skills like dexterity and problem-solving, which are hard for machines to replicate. While technology like design apps can assist with planning, the actual work of measuring, fitting, and nailing down carpet requires a personal touch and adaptability to unexpected challenges.
Read full analysisAnalysis of Current AI Resilience
Carpet Installers
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Carpet Installers jobs?
Right now, carpet installation remains mostly a hands-on job. Official sources (O*NET) list core tasks like cutting padding, fastening door strips, stretching and trimming carpet, and moving furniture [1]. These are physical and custom tasks.
In fact, O*NET reports that only about 21% of carpet installer tasks are automated, meaning about 79% are still done by people [1]. We found no example of a robot that empties a room or rolls out and nails down a carpet like a human installer does. Instead, workers use smart tools and software to help plan.
For example, installers often use CAD or estimating apps to measure rooms and plan seams [1]. Some startups are developing floor-laying machines, but so far adoption is very limited. One study of construction robotics notes that the industry’s erosion of inefficiencies has been slow – “the level of adoption…is very low” so far [2].
In short, while there are vacuum robots and powered cutters for cleaning or cutting, a regular carpet installation still relies on human skill for measuring, fitting, and nailing the carpet in place [1] [1].
Sources
How fast is AI adoption growing for Carpet Installers?
AI and robots might get used gradually, but there are reasons adoption is likely slow. First, cost is a big factor. A recent industry report notes the global robotics market is growing, but the high upfront cost of robots tends to deter smaller contractors [3].
In carpet work, installers usually earn modest wages, so hiring a worker is much cheaper than buying an expensive machine. Experts explain that construction trades are often “low-profit” and high-risk, so new tech must really pay off before shops invest [2]. Right now there are few off-the-shelf AI products for floor installers – no common “carpet-laying robot” you can buy at a store.
Labor conditions also make a difference. If there are enough installers available (and wages aren’t extremely high), companies feel less urgency to automate. One informal analysis even gave this job a “moderate” automation risk and noted that employment may decline modestly in coming years [4].
Socially, many customers prefer a skilled person they trust to work in their home. Human qualities like problem-solving (finding creative ways to fit carpet in odd corners) and dexterity (handling heavy carpet pieces safely) remain hard to replace with AI.
Overall, while technology can help (for example, design apps and even wearable exoskeletons are being explored to make lifting easier [3]), full automation of carpet installation is not happening quickly. The job still relies on human judgment – installers adjust to surprises on the job site and ensure the carpet looks good. In short, experts say the work will likely be augmented by better tools and planning software, but the lack of suitable robots and the value of hands-on skills means carpet installers should still have an important role in the near future [1] [2].
Sources
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More Career Info
Career: Carpet Installers
They measure and cut carpet to fit rooms, then lay it down and attach it firmly to the floor to make homes and businesses look nice and feel comfortable.
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Employment & Wage Data
Median Wage
$49,850
Jobs (2024)
20,300
Growth (2024-34)
-9.6%
Annual Openings
1,100
Education
No formal educational credential
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Join edges of carpet and seam edges where necessary, by sewing or by using tape with glue and heated carpet iron.
2
Take measurements and study floor sketches to calculate the area to be carpeted and the amount of material needed.
3
Fasten metal treads across door openings or where carpet meets flooring to hold carpet in place.
4
Cut and bind material.
5
Cut and trim carpet to fit along wall edges, openings, and projections, finishing the edges with a wall trimmer.
6
Install carpet on some floors using adhesive, following prescribed method.
7
Nail tack strips around area to be carpeted or use old strips to attach edges of new carpet.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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