π‘ Avionics Technicians have a composite risk score of 47/100 (Frey-Osborne probability: 70%, GenAI exposure: 53/100). With 20,900 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 20,900 workers and a median wage of $81K,avionics technicians 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
47/100
Employment
20,900
Median Wage
$81K
GenAI Exposure
53%
β οΈ Top Risk Factors
AI parts inventory and supply chain optimization
Robotic inspection of hard-to-reach equipment
Automated fault detection via IoT sensor networks
Augmented reality-guided remote diagnostics
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
59% skills overlap Β· $106K median wage
Electrical Power-Line Installers and Repairers
83% skills overlap Β· $93K median wage
Architects, Except Landscape and Naval
61% skills overlap Β· $97K median wage
β Frequently Asked Questions
Will AI completely replace avionics technicians?
Possible. Significant task automation is underway β workers should actively upskill.
What is the AI risk score for avionics technicians?
Avionics Technicians have a composite AI automation risk score of 47 out of 100, classified as "Elevated".
How many avionics technicians are there in the US?
There are approximately 20,900 avionics technicians employed in the United States.
What do avionics technicians earn?
The median annual wage for avionics technicians is $81K.
What skills should avionics technicians 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.