47
/100

SOC 47-2042

Floor Layers, Except Carpet, Wood, and Hard Tiles

ElevatedFrey/Osborne: 79.0%

Risk Score

โš ๏ธ

47/100

Elevated

US Employment

๐Ÿ‘ฅ

24,850

Total workers

Median Wage

๐Ÿ’ฐ

$54K

$37K โ€“ $97K

Projected Growth

๐Ÿ“ˆ

+9.5%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Floor Layers, Except Carpet, Wood, and Hard Tiles face a risk score of 47/100 โ€” 3 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $54K ($8K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 47/100, Floor Layers, Except Carpet, Wood, and Hard Tiles faces moderate automation pressure. While tasks like bim-integrated automated progress tracking are increasingly handled by AI, the role retains significant human elements. The 24,850 workers in this occupation should focus on strengthening skills in navigating unpredictable and unstructured job sites and fine motor craftsmanship in custom installations to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Floor Layers, Except Carpet, Wood, and Hard Tiles?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

BIM-integrated automated progress tracking

2

AI project scheduling and resource optimization

3

Drone-based site surveying and inspection

4

Robotic bricklaying and prefabrication automation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable and unstructured job sites

โœ“

Fine motor craftsmanship in custom installations

โœ“

Adapting to unique building configurations on-site

โœ“

Real-time safety judgment in hazardous conditions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

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

โ€ข

Cut flooring material to fit around obstructions.

โ€ข

Inspect surface to be covered to ensure that it is firm and dry.

โ€ข

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

โ€ข

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.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Project management software

โ€ข

Web page creation and editing software

โ€ข

Office suite software

โ€ข

Computer aided design CAD software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Building and Construction

โ€ข

Customer and Personal Service

โ€ข

Mathematics

โ€ข

Mechanical

โ€ข

Production and Processing

๐Ÿ“Š vs National Average

Median Wage$54K
+$8K

National avg: $46K

Risk Score47/100
+3

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth9.5%
+5.8%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
Extraction Workers29$56K81%
Electricians32$62K75%