BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Stable

Last Update: 11/21/2025

Your role’s AI Resilience Score is

70.7%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

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

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.

Summary

The career of a floor layer is considered "Stable" because many of the tasks involved still require human skills like creativity, adaptability, and careful inspection, which machines can't easily replicate. Although some robots and advanced tools are starting to help with specific tasks like setting tiles faster, they are mostly experimental and can't handle the unique challenges of each job site.

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Learn more about how you can thrive in this position

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More career info

Summary

The career of a floor layer is considered "Stable" because many of the tasks involved still require human skills like creativity, adaptability, and careful inspection, which machines can't easily replicate. Although some robots and advanced tools are starting to help with specific tasks like setting tiles faster, they are mostly experimental and can't handle the unique challenges of each job site.

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Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Stable iconStable

85.8%

85.8%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

94.8%

94.8%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

55.7%

55.7%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

9.5%

Growth Percentile:

91.9%

Annual Openings:

2.7

Annual Openings Pct:

27.2%

Analysis of Current AI Resilience

Floor Layers (except CWH)

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

For now, floor layers’ core tasks remain mostly manual. In fact, U.S. job data report that about 38% of floor layers say their work is only “slightly automated” [1]. A few specialized robots exist: for example, in Singapore builders use a tile-setting robot that places each tile in ~1½ minutes (vs 4–5 min by hand) [2], and a grouting robot that finishes a four-room flat in about 20 minutes (instead of 2–5 hours manually) [2].

Even with these, workers still handle edges and odd shapes by hand [2]. Installers also use advanced tools like battery-powered welders, groovers, grinders and vacuums to speed cutting and cleanup [3], and sometimes work with flooring shipped pre-cut and labeled to plan [3]. But duties like inspecting the floor’s condition, choosing seam layouts, and detailed fitting remain in human hands.

Reviews of construction tech note that most robots in this field are still early or experimental [4], and experts stress they serve as helpers rather than replace skilled installers [2].

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AI Adoption

AI Adoption

Automation in flooring will spread if it makes economic and practical sense. Robots clearly boost efficiency and safety: a Singapore contractor reported that one wall-painting robot (cost ~S$120K) did the work of three painters and raised productivity ~80% [2] [2]. A building official noted that “robotics and automation help to make work sites safer and more productive” [2], and agencies even offer subsidies (up to 70% of tech costs in one program [2]) to encourage use.

On the other hand, these machines are expensive (tens of thousands of dollars; e.g. tile robots ~$90–120K [2] [2]), and every job is a bit different, so firms adopt slowly. Many see AI as a tool, not a threat: for example, new HEPA-vacuum systems greatly cut toxic dust during flooring prep [3], yet workers still plan and perfect the installation. In short, human skill (creativity, adaptability, careful inspection) remains crucial even as smart tools become more common.

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More Career Info

Career: Floor Layers, Except Carpet, Wood, and Hard Tiles

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

65% ResilienceCore Task

Sweep, scrape, sand, or chip dirt and irregularities to clean base surfaces, correcting imperfections that may show through the covering.

2

65% ResilienceCore Task

Trim excess covering materials, tack edges, and join sections of covering material to form tight joint.

3

65% ResilienceCore Task

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

65% ResilienceCore Task

Measure and mark guidelines on surfaces or foundations, using chalk lines and dividers.

5

65% ResilienceCore Task

Roll and press sheet wall and floor covering into cement base to smooth and finish surface, using hand roller.

6

65% ResilienceCore Task

Apply adhesive cement to floor or wall material to join and adhere foundation material.

7

65% ResilienceCore Task

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.

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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