Key findings
Generative artificial intelligence (GenAI) is unlikely to automate blue-collar jobs like Aircraft Mechanics and Service Technicians.
This unique automation wave may even increase demand for these workers due to the rise in premium goods and services.
GenAI lacks the ability to perform physical tasks, keeping blue-collar workers shielded from major disruption.
However, certain skills used in this job, such as Equipment Maintenance and Troubleshooting, could be automated in the future.
Despite this, the impact of GenAI on blue-collar workers will be minimal compared to other industries.
How could AI or automation replace or complement job activities?
Artificial intelligence and automation could potentially assist Aircraft Mechanics and Service Technicians in tasks such as inspecting aircraft components, interpreting manuals, and diagnosing engine issues.
However, the intricate and hands-on nature of the job, involving precise measurements and physical repairs, makes complete replacement unlikely.
For example, AI could help in analyzing maintenance data to predict component failures, but the technician’s expertise and manual skills remain essential for tasks like fabricating parts or conducting in-flight adjustments.
Job description
Diagnoses, adjusts, repairs, or overhauls aircraft engines and assemblies, including hydraulic and pneumatic systems.
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