Key findings
Blue-collar workers in jobs like Pourers and Casters, Metal are unlikely to be automated by Generative artificial intelligence (GenAI).
The unique automation wave of GenAI may not transform but impact their work positively.
Increased demand for premium goods and services could lead to a rise in income share for these workers.
GenAI’s inability to perform physical tasks means blue-collar workers are shielded from major disruption.
In the future, skills like Information Ordering and Digital Data Processing could be automated, but tasks like operating hand-controlled mechanisms to pour molten metal will likely remain in the hands of human workers for the foreseeable future.
How could AI or automation replace or complement job activities?
AI and automation could be used to automate activities such as examining molds for cleanliness, regulating molten metal flow into molds, monitoring temperature gauges, adjusting furnace settings, collecting samples, loading metal into furnaces, skimming slag, removing excess metal, positioning equipment, transporting ingots, and stenciling identifying information.
For example, AI could analyze temperature data and adjust furnace flames accordingly in the job of metal pourers and casters.
Job description
Operating hand-controlled mechanisms to pour and control the flow of molten metal into molds to create castings or ingots.
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