π‘ Carpet Installers have a composite risk score of 72/100 (Frey-Osborne probability: 87%, GenAI exposure: 53/100). With 14,980 workers in the US, this is one of the most AI-vulnerable occupations. Full occupation profile β
π― The Verdict
Likely for many tasks. The role will look very different in 5β10 years.
With 14,980 workers and a median wage of $50K,carpet installers represent a significant portion of the US workforce. Their GenAI exposure index is 53%, meaning a majority of their core tasks overlap with current generative AI capabilities.
Risk Score
72/100
Employment
14,980
Median Wage
$50K
GenAI Exposure
53%
β οΈ Top Risk Factors
Robotic bricklaying and prefabrication automation
Autonomous heavy equipment operation
BIM-integrated automated progress tracking
Drone-based site surveying and inspection
AI project scheduling and resource optimization
π‘οΈ Tasks AI Can't Easily Replace
Fine motor craftsmanship in custom installations
Real-time safety judgment in hazardous conditions
Physical work in confined or elevated spaces
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
69% skills overlap Β· $106K median wage
Extraction Workers
71% skills overlap Β· $56K median wage
Electricians
80% skills overlap Β· $62K median wage
β Frequently Asked Questions
Will AI completely replace carpet installers?
Likely for many tasks. The role will look very different in 5β10 years.
What is the AI risk score for carpet installers?
Carpet Installers have a composite AI automation risk score of 72 out of 100, classified as "High Risk".
How many carpet installers are there in the US?
There are approximately 14,980 carpet installers employed in the United States.
What do carpet installers earn?
The median annual wage for carpet installers is $50K.
What skills should carpet installers develop?
Focus on tasks AI can't easily replicate: fine motor craftsmanship in custom installations, real-time safety judgment in hazardous conditions, physical work in confined or elevated spaces. These human-centric skills will become more valuable as routine tasks are automated.