72
/100

SOC 47-2041

Carpet Installers

High RiskFrey/Osborne: 87.0%

Risk Score

โš ๏ธ

72/100

High Risk

US Employment

๐Ÿ‘ฅ

14,980

Total workers

Median Wage

๐Ÿ’ฐ

$50K

$33K โ€“ $83K

Projected Growth

๐Ÿ“ˆ

-9.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Carpet Installers face a risk score of 72/100 โ€” 28 points above the national average of 44. With 53/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $50K ($4K 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 72/100, Carpet Installers faces significant automation pressure. Key threats include robotic bricklaying and prefabrication automation and autonomous heavy equipment operation. The 14,980 Americans in this role should actively develop skills in fine motor craftsmanship in custom installations and real-time safety judgment in hazardous conditions to remain competitive. Workers who proactively adapt will find new opportunities even as traditional tasks are automated.

Will AI Replace Carpet Installers?

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

โš ๏ธ Top Risk Factors

1

Robotic bricklaying and prefabrication automation

2

Autonomous heavy equipment operation

3

BIM-integrated automated progress tracking

4

Drone-based site surveying and inspection

5

AI project scheduling and resource optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Fine motor craftsmanship in custom installations

โœ“

Real-time safety judgment in hazardous conditions

โœ“

Physical work in confined or elevated spaces

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

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.

โ€ข

Roll out, measure, mark, and cut carpeting to size with a carpet knife, following floor sketches and allowing extra carpet for final fitting.

โ€ข

Join edges of carpet and seam edges where necessary, by sewing or by using tape with glue and heated carpet iron.

โ€ข

Cut and trim carpet to fit along wall edges, openings, and projections, finishing the edges with a wall trimmer.

โ€ข

Plan the layout of the carpet, allowing for expected traffic patterns and placing seams for best appearance and longest wear.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Data base user interface and query software

โ€ข

Project management software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Mathematics

โ€ข

Administration and Management

โ€ข

English Language

โ€ข

Building and Construction

๐Ÿ“Š vs National Average

Median Wage$50K
+$4K

National avg: $46K

Risk Score72/100
+28

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth-9.6%
-13.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
Extraction Workers29$56K71%
Electricians32$62K80%