Key findings
Log graders and scalers evaluate logs for quality and value in sorting yards, millponds, or log decks.
They check for defects and measure logs to determine size.
Despite the rise of Generative AI, blue-collar jobs like this are unlikely to be automated due to the physical nature of the tasks.
While AI will impact the work by enhancing data processing and decision-making, the unique skills required for this job, such as active listening and critical thinking, make it less susceptible to automation.
In the future, automation may streamline certain aspects of the job, but the human touch and judgment will remain essential in ensuring accurate log evaluation.
How could AI or automation replace or complement job activities?
AI and automation could be used to automate activities such as evaluating log characteristics, recording data into digital systems, measuring logs for volume and value, identifying log grades using color recognition, and inspecting logs for defects.
For example, AI could analyze log characteristics and determine grades based on established criteria, streamlining the grading process for Log Graders and Scalers.
Job description
Evaluates logs for quality and value in sorting yards, millponds, log decks, or similar areas. Checks logs for defects and measures them to determine their size.
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