Rankings β Will AI Replaceβ¦
Will AI Replace Extraction Workers, All Other?
π‘ Extraction Workers, All Other have a composite risk score of 36/100 (Frey-Osborne probability: 40%, GenAI exposure: 35/100). With 6,070 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
With 6,070 workers and a median wage of $50K,extraction workers, all other 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
36/100
Employment
6,070
Median Wage
$50K
GenAI Exposure
35%
β οΈ Top Risk Factors
3D printing of building components
Drone-based site surveying and inspection
BIM-integrated automated progress tracking
π‘οΈ Tasks AI Can't Easily Replace
Client-facing consultation on custom project needs
Navigating unpredictable and unstructured job sites
Fine motor craftsmanship in custom installations
Real-time safety judgment in hazardous conditions
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
57% skills overlap Β· $106K median wage
Extraction Workers
74% skills overlap Β· $56K median wage
Electricians
83% skills overlap Β· $62K median wage
β Frequently Asked Questions
Will AI completely replace extraction workers, all other?
Partially. Some tasks will be automated, but the core role will likely adapt and evolve.
What is the AI risk score for extraction workers, all other?
Extraction Workers, All Other have a composite AI automation risk score of 36 out of 100, classified as "Moderate".
How many extraction workers, all other are there in the US?
There are approximately 6,070 extraction workers, all other employed in the United States.
What do extraction workers, all other earn?
The median annual wage for extraction workers, all other is $50K.
What skills should extraction workers, all other develop?
Focus on tasks AI can't easily replicate: client-facing consultation on custom project needs, navigating unpredictable and unstructured job sites, fine motor craftsmanship in custom installations, real-time safety judgment in hazardous conditions. These human-centric skills will become more valuable as routine tasks are automated.