BETA
Updated: May 6
BETA
Updated: May 6
CLOSE
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.
Navigate your career with your free AI Career Coach. Research-backed, designed with career experts.
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
63.0%
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%).
Med
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 forFloor Layers, Except Carpet, Wood, and Hard Tiles
Floor Layers, Except Carpet, Wood, and Hard Tiles are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of floor layers, except for those working with carpet, wood, and hard tiles, is labeled as "Mostly Resilient" because the core tasks still rely heavily on human skills like manual dexterity, judgment, and craftsmanship. While AI and robots can assist with planning and identifying materials, the unpredictable and varied environments of real job sites make full automation challenging.
Read full analysisLearn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
The career of floor layers, except for those working with carpet, wood, and hard tiles, is labeled as "Mostly Resilient" because the core tasks still rely heavily on human skills like manual dexterity, judgment, and craftsmanship. While AI and robots can assist with planning and identifying materials, the unpredictable and varied environments of real job sites make full automation challenging.
Read full analysisAnalysis of Current AI Resilience
Floor Layers (except CWH)
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Floor Layers (except CWH) jobs?
Today, most floor-covering work is still done by people. Little of this job is fully automated. In labs and factories, researchers have built robots that can lay floor tiles faster than humans.
For example, one study found an autonomous tile‐laying robot could cover floors about 40% faster than a human team while matching quality [1]. This shows smart machines can handle repetitive, planned layouts. In practice, though, those devices apply mostly to tile or similar systems, not the vinyl or rubber floors in this job.
On real sites, conditions are unpredictable. Construction experts note that each jobsite is unique and changes a lot, which makes full automation hard [2].
In the shop and on the job, workers use technology to help but still rely on manual skill. Many installers use computer-aided design (CAD) programs to plan seam lines and layouts [3], and laser levels to draw straight guide lines, but people still cut the materials and apply glue by hand. Some robots can recognize floor patterns or textures – one experiment taught a robot to identify over 130 floor types with 95% accuracy [4] – but identifying a surface is different from actually laying it.
In short, today’s AI tends to assist (in planning or sensing), while the core tasks of cutting, smoothing, and adhering floors remain mostly manual. Until very advanced systems appear, floor layers continue shaping and finishing floors by hand [1] [2].
Sources
How fast is AI adoption growing for Floor Layers (except CWH)?
Will this change soon? There are mixed pressures. On the plus side, the construction industry faces worker shortages and higher labor costs [1] [2].
Big tech firms note that companies are beginning to adopt AI-driven robots to help address labor gaps and boost efficiency [5]. In theory, a robot could take on repetitive tasks like spreading concrete or laying uniform panels. However, there are strong reasons for slow adoption.
Floor layers often work in cramped, varied environments (homes, offices, factories) – not a tidy factory floor – so building a robot to handle every twist is very hard [2]. The cost of a special robot is high, and on small jobs it may not pay off compared to a human crew.
Social and safety factors also matter: many homeowners and contractors expect the flooring to be done by a skilled person. Legal and quality concerns (nobody wants a crooked floor) make companies careful. In practice, the industry is more likely to use AI to help with design, scheduling, or safety, rather than replace workers outright.
In short, AI tools and machines are slowly creeping in, but the human skills of measurement, judgement, and hands-on finishing are still very valuable. Floor-layers today can feel confident that their craftsmanship is still needed while keeping an eye on new ways technology might assist their work [1] [5].
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
More Career Info
Career: Floor Layers, Except Carpet, Wood, and Hard Tiles
They install and finish soft flooring materials like vinyl or linoleum to create smooth, durable surfaces in homes and buildings.
Parent Careers
Employment & Wage Data
Median Wage
$54,340
Jobs (2024)
33,700
Growth (2024-34)
+9.5%
Annual Openings
2,700
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
Lay out, position, and apply shock-absorbing, sound-deadening, or decorative coverings to floors, walls, and cabinets, following guidelines to keep courses straight and create designs.
2
Trim excess covering materials, tack edges, and join sections of covering material to form tight joint.
3
Form a smooth foundation by stapling plywood or Masonite over the floor or by brushing waterproof compound onto surface and filling cracks with plaster, putty, or grout to seal pores.
4
Heat and soften floor covering materials to patch cracks or fit floor coverings around irregular surfaces, using blowtorch.
5
Cut flooring material to fit around obstructions.
6
Apply adhesive cement to floor or wall material to join and adhere foundation material.
7
Remove excess cement to clean finished surface.
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.
© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.