Key findings
GenAI is set to impact, but not transform, the work of Aircraft Structure, Surfaces, Rigging, and Systems Assemblers.
Blue-collar jobs like this are unlikely to be automated by GenAI due to its inability to perform physical tasks.
The unique automation wave may even increase demand for these workers, leading to a rise in their income share.
While some skills may be automated in the future, the work of assemblers relies heavily on skills like Reading Comprehension, Critical Thinking, and Quality Control Analysis, which are difficult for AI to replicate.
As a result, blue-collar workers in this field are expected to remain shielded from major AI disruption.
How could AI or automation replace or complement job activities?
AI, automation, or LLMs like Chatgpt could potentially assist in tasks such as reading blueprints, identifying parts, and inspecting assemblies.
However, the intricate physical work of assembling, aligning, and welding components may still require human expertise.
For instance, in the job of Aircraft Assemblers, AI could help with quality control inspections, but the hands-on tasks of fitting and aligning parts would likely remain human-driven.
Job description
Assembles, fits, fastens, and installs parts of airplanes, space vehicles, or missiles. This includes tails, wings, fuselage, bulkheads, stabilizers, landing gear, rigging and control equipment, and heating and ventilating systems.
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