Key findings
Generative artificial intelligence (GenAI) is set to impact but not transform blue-collar jobs like Fallers.
While GenAI may automate certain skills in the future, tasks requiring Critical Thinking, Monitoring, and Decision Making remain crucial in these roles.
The unique nature of GenAI automation means blue-collar workers are less likely to be displaced, with increased demand for their physical tasks and premium services contributing to a potential rise in income share.
Automating skills like Information Ordering and Digital Data Processing could streamline operations, but the core responsibilities of Fallers will continue to rely on human judgment and physical abilities.
How could AI or automation replace or complement job activities?
AI and automation could assist Fallers in assessing tree characteristics and determining cutting techniques.
LLMs like ChatGPT could provide guidance on controlling the direction of falls with minimal damage.
However, the physical tasks of sawing, clearing brush, and loading logs may still require human intervention.
For example, AI could analyze tree lean and suggest cutting angles, while Fallers would implement these recommendations and operate equipment manually.
Job description
Operate axes or chainsaws to cut down trees, using expertise in tree features and cutting methods to guide the tree’s fall and reduce damage.
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