π‘ Extraction Workers have a composite risk score of 29/100 (Frey-Osborne probability: 17%, GenAI exposure: 35/100). With 212,920 workers in the US, this occupation remains well-protected against automation. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 212,920 workers and a median wage of $56K,extraction workers represent a significant portion of the US workforce. Their GenAI exposure index is 35%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
29/100
Employment
212,920
Median Wage
$56K
GenAI Exposure
35%
β οΈ Top Risk Factors
BIM-integrated automated progress tracking
Robotic bricklaying and prefabrication automation
Autonomous heavy equipment operation
π‘οΈ Tasks AI Can't Easily Replace
Client-facing consultation on custom project needs
Fine motor craftsmanship in custom installations
Adapting to unique building configurations on-site
Navigating unpredictable and unstructured job sites
Physical work in confined or elevated spaces
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
63% skills overlap Β· $106K median wage
Electrical Power-Line Installers and Repairers
67% skills overlap Β· $93K median wage
β Frequently Asked Questions
Will AI completely replace extraction workers?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for extraction workers?
Extraction Workers have a composite AI automation risk score of 29 out of 100, classified as "Moderate".
How many extraction workers are there in the US?
There are approximately 212,920 extraction workers employed in the United States.
What do extraction workers earn?
The median annual wage for extraction workers is $56K.
What skills should extraction workers develop?
Focus on tasks AI can't easily replicate: client-facing consultation on custom project needs, fine motor craftsmanship in custom installations, adapting to unique building configurations on-site, navigating unpredictable and unstructured job sites, physical work in confined or elevated spaces. These human-centric skills will become more valuable as routine tasks are automated.