π‘ Riggers have a composite risk score of 43/100 (Frey-Osborne probability: 89%, GenAI exposure: 31/100). With 24,190 workers in the US, this occupation faces moderate but manageable AI pressure. Full occupation profile β
π― The Verdict
Possible. Significant task automation is underway β workers should actively upskill.
With 24,190 workers and a median wage of $62K,riggers represent a significant portion of the US workforce. Their GenAI exposure index is 31%, meaning a minority of their core tasks overlap with current generative AI capabilities.
Risk Score
43/100
Employment
24,190
Median Wage
$62K
GenAI Exposure
31%
β οΈ Top Risk Factors
Predictive maintenance AI reducing reactive repair needs
Augmented reality-guided remote diagnostics
Automated fault detection via IoT sensor networks
AI parts inventory and supply chain optimization
π‘οΈ Tasks AI Can't Easily Replace
Diagnosing novel equipment failures through physical inspection
Working in confined, elevated, or hazardous spaces
Adapting repairs to non-standard or legacy equipment
Hands-on fine motor work in intricate machinery
π Career Transition Paths
Related occupations with lower AI risk and high skills overlap:
Engineers
51% skills overlap Β· $106K median wage
Electrical Power-Line Installers and Repairers
75% skills overlap Β· $93K median wage
Supervisors of Installation, Maintenance, and Repair Workers
80% skills overlap Β· $78K median wage
β Frequently Asked Questions
Will AI completely replace riggers?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for riggers?
Riggers have a composite AI automation risk score of 43 out of 100, classified as "Elevated".
How many riggers are there in the US?
There are approximately 24,190 riggers employed in the United States.
What do riggers earn?
The median annual wage for riggers is $62K.
What skills should riggers develop?
Focus on tasks AI can't easily replicate: diagnosing novel equipment failures through physical inspection, working in confined, elevated, or hazardous spaces, adapting repairs to non-standard or legacy equipment, hands-on fine motor work in intricate machinery. These human-centric skills will become more valuable as routine tasks are automated.