Log Graders and Scalers

Log Graders and Scalers score 21 out of 100, which is moderate exposure to AI. That ranks #627 of 923 US occupations, where #1 is the most exposed. Of the 13 tasks in this job, AI could speed up 0 on its own and 4 more with extra software built on top of it. None of its tasks showed up in real AI use in April–May 2026.

21/ 100

Moderate

Rank: #627of 923 jobs
US workers: 3,070BLS, May 2025
Median pay: $46,330a year
In real AI use: 0 of 13tasks, April–May 2026

Free report

Follow how AI is changing log graders and scalers work.

Subscribe to the weekly report and get The AI Job Exposure Report (PDF) right away: the most and least exposed jobs, exposure by field, and the AI-resilient jobs that pay well.

Free · one email a week · unsubscribe anytime

Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

AI can speed this up on its own: 0 (0%)
AI can speed this up with extra software: 4 (31%)
Little or no AI speed-up: 9 (69%)

Evaluate log characteristics and determine grades, using established criteria.AI can speed this up with extra software · core task
Record data about individual trees or load volumes into tally books or hand-held collection terminals.AI can speed this up with extra software · core task
Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables.AI can speed this up with extra software · core task
Identify logs of substandard or special grade so that they can be returned to shippers, regraded, recut, or transferred for other processing.AI can speed this up with extra software · 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.Little or no AI speed-up · 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.Little or no AI speed-up · core task
Arrange for hauling of logs to appropriate mill sites.Little or no AI speed-up · supplemental task
Weigh log trucks before and after unloading, and record load weights and supplier identities.Little or no AI speed-up · supplemental task
Measure log lengths and mark boles for bucking into logs, according to specifications.Little or no AI speed-up · supplemental task
Communicate with coworkers by signals to direct log movement.Little or no AI speed-up · supplemental task
Drive to sawmills, wharfs, or skids to inspect logs or pulpwood.Little or no AI speed-up · supplemental task
Saw felled trees into lengths.Little or no AI speed-up · supplemental task
Tend conveyor chains that move logs to and from scaling stations.Little or no AI speed-up · supplemental task

What you can do about it

Get a personal plan for what to learn next.

Skill Half Life turns this score into a 90-day plan for your situation: your realistic options, the skills that carry over, and training that fits your time and budget. Coming soon.

See your options

Similar jobs, lower exposure

Related occupations that score at least 10 points lower.

Other jobs in this field

Farming, Fishing, and Forestry occupations close to this one.

All farming, fishing, and forestry jobs and AI

Questions about log graders and scalers and AI

Will AI replace log graders and scalers?

Unlikely. Most of the work is hard for today's AI to speed up. Log Graders and Scalers score 21 out of 100 (moderate exposure), #627 of 923 US jobs. AI could speed up 4 of the job's 13 tasks, 0 of them on its own, while 9 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which log graders and scalers tasks can AI do?

The most exposed tasks include "Evaluate log characteristics and determine grades, using established criteria"; "Record data about individual trees or load volumes into tally books or hand-held collection terminals"; "Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables".

Which log graders and scalers tasks are hardest for AI?

Tasks with little or no AI speed-up include "Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers"; "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"; "Arrange for hauling of logs to appropriate mill sites".

Are people already using AI for this work?

Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.

How many people work as log graders and scalers, and what do they earn?

About 3,070 people in the US, with median pay of $46,330 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.