Can AI Replace Log Graders and Scalers in 2026?

Lower exposure. AI could handle about 34% of today's log graders and scalers tasks by 2036, and there is a 15% chance the number of jobs falls by a fifth or more. AI mostly assists people in this role.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

16%

Headcount (2025 = 100)

Chance of 20%+ fewer jobs

10% 2030 · 15% 2036

One person could cover, 2036

1.2 roles

Share of today's tasks AI can perform

Headcount index, 2025 = 100 (dashed line)

Your survival map

Not every part of your job is at the same risk. Tap a number to see what to do about each task.

Your human coreDo it with AIHand to AI

Tap a number on the map or a task below.

Your plan

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Try an AI tool on one task you'd normally do by hand: "Record data about individual trees or load volumes into tally books or hand-held collection terminals".Get visibly better at your human core: "Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers".Rewrite the top of your CV around judgment, people and decisions, not routine output.

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Fallers · Logging Equipment Operators · Sawing Machine Setters, Operators, and Tenders, Wood · Weighers, Measurers, Checkers, and Samplers, Recordkeeping

Based on 13 O*NET tasks for "Log Graders and Scalers" (SOC 45-4023.00). LLM alone: 0% of tasks; with AI tools: 42%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10