Key findings
Generative artificial intelligence (GenAI) is set to impact rather than transform the work of floor layers, except carpet, wood, and hard tiles.
Blue-collar workers in this field are less likely to be automated due to the physical nature of their tasks, such as laying floors.
The demand for premium goods and services may even increase the need for these workers, potentially boosting their income share.
While some skills like information ordering or digital data processing could be automated in the future, tasks requiring active listening and speaking will likely remain essential for floor layers.
How could AI or automation replace or complement job activities?
Artificial intelligence and automation could potentially assist in tasks such as cutting flooring material, marking guidelines, and applying adhesive cement.
However, AI may struggle with tasks requiring physical dexterity and creativity, like forming smooth foundations and creating designs.
For example, AI could help in cutting covering materials according to blueprints, but may not be as effective in laying out and positioning decorative coverings to create designs.
Job description
Applies shock-absorbing, sound-deadening, or decorative coverings to floors using blocks, strips, or sheets.
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