Will AI replace Log Graders and Scalers?
AI reaches little of this job’s work.
16/100
Low exposure
More exposed to AI than 29% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 32% of the work
What the job involves
Grade logs or estimate the marketable content or value of logs or pulpwood in sorting yards, millpond, log deck, or similar locations. Inspect logs for defects or measure logs to determine volume.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(4)
- Record data about individual trees or load volumes into tally books or hand-held collection terminals.
- Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers.
- Communicate with coworkers by signals to direct log movement.
- Weigh log trucks before and after unloading, and record load weights and supplier identities.
Out of reach(8)
- Evaluate log characteristics and determine grades, using established criteria.
- Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables.
- Identify logs of substandard or special grade so that they can be returned to shippers, regraded, recut, or transferred for other processing.
- Jab logs with metal ends of scale sticks, and inspect logs to ascertain characteristics or defects such as water damage, splits, knots, broken ends, rotten areas, twists, and curves.
- Measure log lengths and mark boles for bucking into logs, according to specifications.
and 3 more
Also called
Scaler · Log Scaler · Decker · Log Check Scaler · Log Grader · Deck Scaler · Deckman · Landing Scaler
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics