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AI exposure Farming, fishing and forestry

Will AI replace log graders and scalers?

Log Graders and Scalers. US occupation 45-4023.

0.0%

of the time log graders and scalers spend on their work goes on tasks where AI is already being used to do that work.of log graders and scalers' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for log graders and scalersWhat log graders and scalers no longer do alone

O*NET lists 12 tasks for log graders and scalers. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

12 of the 12 tasks show no AI use at work in the data.

  • Evaluate log characteristics and determine grades, using established criteria.Core task
  • Identify logs of substandard or special grade so that they can be returned to shippers, regraded, recut, or transferred for other processing.Core task
  • 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.Core task
  • Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables.Core task
  • Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers.Core task
  • Record data about individual trees or load volumes into tally books or hand-held collection terminals.Core task
Show the other 6
  • Arrange for hauling of logs to appropriate mill sites.
  • Communicate with coworkers by signals to direct log movement.
  • Drive to sawmills, wharfs, or skids to inspect logs or pulpwood.
  • Measure log lengths and mark boles for bucking into logs, according to specifications.
  • Saw felled trees into lengths.
  • Weigh log trucks before and after unloading, and record load weights and supplier identities.

How that compares

Among the 11 farming, fishing and forestry occupations, log graders and scalers rank 10. The group averages 0.2%, and its most exposed job is Farmworkers and Laborers, Crop, Nursery, and Greenhouse at 2.0%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Locker Room, Coatroom, and Dressing Room Attendants 0.0%
  2. 346Locksmiths and Safe Repairers 0.0%
  3. 346Locomotive Engineers 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.