Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
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.
This role is stable
Carpet installation is considered "Stable" because it's a hands-on job that requires human skills like measuring, cutting, and fitting carpet, which are hard for robots to do. While there are some tools and software that help with planning, the actual work still relies heavily on a human's touch and problem-solving ability.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is stable
Carpet installation is considered "Stable" because it's a hands-on job that requires human skills like measuring, cutting, and fitting carpet, which are hard for robots to do. While there are some tools and software that help with planning, the actual work still relies heavily on a human's touch and problem-solving ability.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Carpet Installers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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].

AI in the real world
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].

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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
AI-generated estimates of task resilience over the next 3 years
Plan the layout of the carpet, allowing for expected traffic patterns and placing seams for best appearance and longest wear.
Cut and bind material.
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.
Join edges of carpet and seam edges where necessary, by sewing or by using tape with glue and heated carpet iron.
Draw building diagrams and record dimensions.
Cut and trim carpet to fit along wall edges, openings, and projections, finishing the edges with a wall trimmer.
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.
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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