EXPOSED
The core of this job — measuring log diameter and length, computing board-foot volume from scaling rules, and spotting rot, sweep, crook and knots to assign a grade — is exactly what optical log scanners and 3D laser/X-ray systems in modern mills already do faster and more consistently than a human with a scale stick. What holds the job together is the log yard itself: working decks, trucks and landings in mud, snow and heat, where sensors are expensive to install and calibrate, plus the scaler's role as a neutral third party whose tally settles payment between logger and mill. Small operations, portable mills, and remote landings will keep hiring humans long after big integrated mills have stopped.
Most of this decline happened after 2021 — it is not the pandemic dip.
Median pay $37,280 → $46,330 -0.6% in real terms
This line is counted by the Bureau of Labor Statistics — the one figure on this page that isn't a judgement of ours. Headcount moves on demand, offshoring, demographics and the business cycle, and automation is one term among several, often not the loudest.
So a falling line is not evidence that AI did it, and a rising one is not evidence that it won't. Both happen in this register: some occupations resist automation and shrink anyway, others are highly automatable and keep growing. The marked year is 2020.
BLS projection, 2024–2034
-0.7%
Percentage only. The projection counts a different population from the 3,070 above — it includes self-employed workers, which for this occupation is most of them, so the two headcounts are not comparable.
Exposed, and shrinking
Both signals point the same way: the tasks are largely automatable and the BLS projects -0.7% by 2034. This is the case where the score and the forecast agree, and it is the one worth taking seriously.
Different clocks. The score is what current AI could do to this work today. The projection is how many of these jobs will exist in 2034. Everything between the two — how fast employers actually adopt, whether demand grows in the meantime — is why they can point opposite ways without either being wrong.
~600 openings a year on average, including replacing people who leave.
DeckerScalerDeckmanPondmanLog BuyerLog GraderLog MarkerLog ScalerLog SorterDeck ScalerPond ScalerCheck ScalerTimber BuyerLumber GraderVeneer GraderLanding ScalerDeck SpecialistLog Check ScalerScale TechnicianTimber EstimatorCompounding ScalerMaterial InspectorRaw Materials InspectorWeighing Inspection Inspector
Holding it up: embodiment . Weakest point: liability shield .
Core tasks are already automatable Applying Scribner or Doyle rules to a diameter and length reading is arithmetic a scanner does at chain speed, and defect deduction for rot, sweep and catface is now trained into 3D laser and X-ray merchandisers that already grade every stem entering a large mill — which is why this sits at 6 rather than mid-band: the measurement and grading tasks themselves, not just the paperwork, are done.
Hands-on in uncontrolled environments You are on the deck and in the truck bay with a scale stick, paint gun and tally book, climbing loads and reaching butt ends in mud, ice and log dust where footing and rolling stems are the real hazard — that uncontrolled yard is worth 14, held short of 17+ only because much of the day is spent at a fixed scaling station or ramp rather than roaming cutblocks.
Certification preferred, not legally required State and bureau scaling licences (Oregon, Washington, and third-party bureaus like Northwest Log Rules) require exams and periodic check-scaling, but that is a certification a mill can substitute with a calibrated scanner and an audited sampling program — no statute makes your signature the only lawful basis for the transaction, which keeps this at 6 instead of the 11+ a truly protected licence earns.
Meaningful discretion Deciding whether a butt is sound enough to grade #2 or gets a rot deduction, and how much to dock for sweep, is a real call that moves money on every load — but it is made inside published scaling rules and grade specs with check-scale reconciliation behind you, so at 8 the discretion is bounded and reviewable rather than an ambiguous high-stakes judgment you own alone.
The verdict above describes this occupation as a whole. Almost nobody does the typical version of a job — tick what's actually in your week and see how your own mix sits.
Your task mix speaks to task resistance (6/20 here) — how much of the day's work current AI already does. That is the dimension the boxes above are about.
It cannot move the other three. Liability shield (6/20) is whether the law requires a licensed human to sign. Trust premium (7/20) is whether buyers specifically pay for a person. Judgment and accountability (8/20) is whether the role exists to own consequential calls. Those are facts about the occupation's standing, not about which tasks are in your week — a paralegal who does only trial exhibits still holds no licence. Together they are 21 of this occupation's 41 points (51%).
Embodiment (14/20) is also a property of the work rather than the worker, but we don't tag individual tasks as physical or not, so the picker can't tell you anything about it. That's a limit of this tool, not a claim.
Did we get the list right? Tell us what's missing — the tasks are written from the outside, and you're reading this from the inside.
Furniture Finishers EXPOSED
The moves above are yours to make. This is the other half: what would have to change in the world for the occupation itself to score higher. None of it is in any one person's gift, but it is where the floor actually comes from. Scores here are not a one-way ratchet. Only two of the five dimensions — task resistance and embodiment — track what machines can do. The other three track law, what buyers will pay for, and who is answerable, and those move in both directions, often in response to the same pressure AI creates. If every lever below landed, this occupation would score around 59/100, still EXPOSED.
Task-mix shift: once scanners handle sound, uniform sawlogs, the remaining human work concentrates on defect-heavy, cull, salvage, fire-killed and hardwood/veneer logs where grade calls on stain, ring shake, hidden rot and merchantability determination drive large price swings and are contested.
Check-scaling audit mandates: agency or bureau rules requiring a certified human check-scale of a statistical sample of any automated scan tally before payment, as already practiced for human scalers under USFS check-scale tolerance rules.
State-authorized third-party scaling bureaus (e.g., Oregon/Washington log scaling bureaus operating under ORS 532/state scaling statutes, or Scaling & Grading Bureau certification) tightening rules so that a state-licensed scaler must personally certify the official tally used for stumpage payment and timber tax, with machine scan output admissible only when countersigned by that licensed scaler. Similar in USFS timber sale contracts requiring certified check-scalers on national forest volume.
Loggers' associations or timber purchase contracts specifying independent bureau scale rather than mill-owned scanner output, because mill-controlled optical scaling creates a conflict of interest in payment disputes; a publicized dispute or lawsuit over scanner-derived tallies would harden this preference.
Growth in post-fire salvage, small-tract and portable-mill scaling at remote landings where fixed scanner installation is uneconomic, plus tribal and state trust-land volume verification done in the field.
The limit. Ceiling is low: only ~3,000 workers, and the measurement core is already commoditized inside large mills. Even with full liability and trust levers, the job likely consolidates into a small cadre of certified bureau check-scalers and defect specialists rather than recovering headcount.
| Longview-Kelso, WA | 30 | $61,030 +32% |
| Longview-Kelso, WA | 30 | $61,030 +32% |
We have no reported case of a named organisation automating this occupation. Not one deployment, not one announcement.
That is worth saying out loud next to a score of 41. The verdict above is about what the work exposes — what current AI could do to these tasks. It is not a claim that anyone has done it. For this occupation those two things have come apart completely: the capability argument is on this page, and the evidence column is empty.
Has AI actually changed your work? One tap, anonymous, and the running tally is public. Nothing else is asked of you.
Rather than check back: get the digest and we'll tell you what changed — or watch a single occupation from its own page.