Log Graders and Scalers
Log Graders and Scalers — AI exposure, safer roles, and a pivot plan.
Also known as: Decker · Deckman · Log Buyer · Log Grader · Log Marker · Log Scaler
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
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Weigh log trucks before and after unloading, and record load weights and supplier identities.63
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Communicate with coworkers by signals to direct log movement.59
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Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables.55
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Evaluate log characteristics and determine grades, using established criteria.54
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
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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.32
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 49 puts Log Graders and Scalers in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 1 of 12 analyzed tasks lean automatable, 10 augmentable, and 1 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.
Lower-exposure adjacent roles
Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.
Labor-market context
- $46,330median wage
- 3,070employed
- 600annual openings
- +0.0%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — Log Graders and Scalers
- What does a score of 49 mean for a Log Graders and Scalers?
- It means that, weighted across the 12 tasks we analyzed for this role, the task mix sits at 49 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- The highest-exposure tasks are: Weigh log trucks before and after unloading, and record load weights and supplier identities. Exposure is scored per task from structured data, not generated by a language model.
- Which parts of this job are most durable?
- The most durable responsibilities are: 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. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 12 of 12 tasks carry source-level provenance · methodology