Key findings
Generative artificial intelligence (GenAI) is poised to impact but not transform the work of blue-collar Electronic Equipment Installers and Repairers, Motor Vehicles.
These workers may see increased demand due to the growth of premium goods and services, leading to a rise in their income share.
GenAI’s unique automation wave is unlikely to harm blue-collar workers as it cannot perform physical tasks.
In the future, skills such as Digital Data Processing and Equipment Maintenance may be automated, but tasks requiring Critical Thinking, Troubleshooting, and Quality Control Analysis will remain essential, ensuring the continued relevance of blue-collar workers in the workforce.
How could AI or automation replace or complement job activities?
AI, automation, or LLMs like Chatgpt could potentially assist in diagnosing electronic malfunctions in motor vehicles by analyzing data and suggesting solutions.
However, the physical tasks of installing equipment, cutting openings, and splicing wires require human dexterity and judgment.
For example, AI could help identify issues in the navigation system, but a human installer is needed to physically run new cables and ensure proper connections.
Job description
Installs, diagnoses, and repairs communication, sound, security, or navigation equipment in motor vehicles.
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