Key findings
Crushing, grinding, and polishing machine setters, operators, and tenders play a crucial role in processing materials like coal, glass, or food.
Despite advancements in Generative artificial intelligence (GenAI), these blue-collar workers are unlikely to be automated due to the physical nature of their tasks.
The growth in demand for premium goods and services may even increase the need for their skills, leading to a rise in income share.
While some skills of this work may be automated in the future, such as equipment maintenance or troubleshooting, the core tasks of operating machines and ensuring quality control require human judgment and physical dexterity.
GenAI is set to impact but not transform the work, as these workers remain shielded from major AI disruption.
How could AI or automation replace or complement job activities?
AI and automation could be used to automate activities such as monitoring equipment operations, inspecting materials for quality, adjusting machinery settings, recording production data, and transferring materials between work areas for Crushing, Grinding, and Polishing Machine Operators.
For example, AI could be programmed to monitor equipment performance and detect malfunctions, improving efficiency and reducing downtime.
Job description
Operates machines to crush, grind, or polish materials like coal, glass, grain, stone, food, or rubber.
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