Key findings
Generative artificial intelligence (GenAI) is set to impact, but not transform, the work of Refractory Materials Repairers, Except Brickmasons.
Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved.
The increased demand for premium goods and services may even lead to a rise in income share for blue-collar workers.
While some skills of this job may be automated in the future, such as Operations Monitoring, the unique physical demands of the work will likely keep blue-collar workers shielded from major AI disruption.
The future may see automation in certain aspects of the job, but the core tasks of Equipment Maintenance and Repairing will continue to require human expertise.
How could AI or automation replace or complement job activities?
Artificial intelligence and automation could potentially assist in tasks related to repairing refractory materials.
ChatGPT-like LLMs could help in providing guidance on mixing proportions, dimensions, and assembly processes.
However, the physical labor aspects of the job, such as climbing scaffolding and spraying surfaces, may be challenging to automate.
For example, AI could aid in calculating the optimal mixture for refractory clay, but the hands-on work of troweling and assembling refractory jackets would likely still require human intervention.
Job description
Building or fixing equipment like furnaces, kilns, boilers, and ovens by using special materials.
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