Key findings
Generative artificial intelligence (GenAI) is poised to impact, rather than transform, the work of Engine and Other Machine Assemblers.
Blue-collar workers like them are unlikely to be automated by GenAI due to the physical nature of their tasks.
The unique wave of GenAI automation may even increase demand for these workers, especially with the rise of premium goods and services.
While some skills in their job, such as Operations Monitoring and Quality Control Analysis, could be automated in the future, the core tasks of Engine and Other Machine Assemblers will continue to rely on human expertise.
How could AI or automation replace or complement job activities?
Artificial intelligence and automation could potentially assist in tasks such as interpreting blueprints, inspecting products, and verifying parts conformance.
However, the intricate tasks of aligning components, setting clearances, and assembling intricate systems of gears may still require human intervention.
For example, in the job of assembling engines and machines, AI could aid in quality control and efficiency, but the hands-on skills and precision of human assemblers remain crucial for intricate tasks.
Job description
Constructing, assembling, or rebuilding machines like engines and turbines for industries such as construction, extraction, textiles, and paper manufacturing.
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