Log Graders and Scalers
Farming, Fishing, and Forestry Occupations- O*NET-SOC code
- 45-4023.00
Grade logs or estimate the marketable content or value of logs or pulpwood in sorting yards, millpond, log deck, or similar locations. Inspect logs for defects or measure logs to determine volume.
- Data source: BLSPublished: 2026-08
Low· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
- Data source: ILOPublished: 2025
0.12
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 9 hidden tasks13 rated tasks · 4 tasks with β ≥ 0.5 (30.8%)
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
- Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
- 1 rated task is not in the O*NET 31.0 task list; its score is kept as published for O*NET 27.2.
- Source
- OpenAI "GPTs are GPTs" exposure rubric
- Release
- gh-main-0471612
- License
- MIT License, Copyright (c) 2024 OpenAI
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime.
| Task (O*NET 27.2) | βE1 + 0.5 × E2 |
|---|---|
Evaluate log characteristics and determine grades, using established criteria.O*NET Task ID 9811 | 0.5 |
Record data about individual trees or load volumes into tally books or hand-held collection terminals.O*NET Task ID 9812 | 0.5 |
Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables.O*NET Task ID 9814 | 0.5 |
Identify logs of substandard or special grade so that they can be returned to shippers, regraded, recut, or transferred for other processing.O*NET Task ID 9816 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page
All O*NET 31.0 task statements (12)
All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.
| Task (O*NET 31.0) | Type |
|---|---|
| Evaluate log characteristics and determine grades, using established criteria. | Core |
| Record data about individual trees or load volumes into tally books or hand-held collection terminals. | Core |
| Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers. | Core |
| Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables. | Core |
| Identify logs of substandard or special grade so that they can be returned to shippers, regraded, recut, or transferred for other processing. | Core |
| 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 |
| Measure log lengths and mark boles for bucking into logs, according to specifications. | Supplemental |
| Drive to sawmills, wharfs, or skids to inspect logs or pulpwood. | Supplemental |
| Communicate with coworkers by signals to direct log movement. | Supplemental |
| Weigh log trucks before and after unloading, and record load weights and supplier identities. | Supplemental |
| Saw felled trees into lengths. | Supplemental |
| Arrange for hauling of logs to appropriate mill sites. | Supplemental |
0.95/ 3· Robot exposure index
Scale, basis and source
Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time
Physical tasks among this occupation's O*NET 29.3 tasks
Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.
The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.
Tier of each physical task
Robot environment tiers (E0–E3)
E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site
Only tasks classified as physical are listed; other tasks have no tier in the source.
| Task (O*NET 29.3) | Robot environment tier |
|---|---|
| Evaluate log characteristics and determine grades, using established criteria. | E1 purpose-built robot settings |
| Paint identification marks of specified colors on logs to identify grades or species, using spray cans, or call out grades to log markers. | E1 purpose-built robot settings |
| Measure felled logs or loads of pulpwood to calculate volume, weight, dimensions, and marketable value, using measuring devices and conversion tables. | E2 structured facilities |
| Identify logs of substandard or special grade so that they can be returned to shippers, regraded, recut, or transferred for other processing. | E1 purpose-built robot settings |
| 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. | E1 purpose-built robot settings |
| Measure log lengths and mark boles for bucking into logs, according to specifications. | E1 purpose-built robot settings |
| Drive to sawmills, wharfs, or skids to inspect logs or pulpwood. | E1 purpose-built robot settings |
| Saw felled trees into lengths. | E1 purpose-built robot settings |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 4K
- Projected employment, 2035
- 4K
- Change (2025–35)
- -2.2%
- Median annual wage, 2025
- $46,330
- Typical education needed for entry
- High school diploma or equivalent
Korea classification links (KSCO)
Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.
| KSCO code | KSCO title | Relation | Status |
|---|---|---|---|
| 73019 | 그 외 목제품 제조 관련 종사원 | This occupation is narrower | confirmed |
Relation and status definitions(kr-direct v1.1)
ILO occupational description
AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.
- ISCO-08 6210Forestry and Related Workers
Sources: ILO ISCO-08 — details: Credits
ESCO occupational vocabulary
Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.
- lumber graderESCO 7543.8.2Same scope
Lumber graders inspect lumber, or wood cut into planks. They test the lumber, look for irregularities and grade the wood based on quality and desirability of the pattern.
- engineered wood board graderESCO 7543.8.1This occupation is broader
Engineered wood board graders inspect finished engineered wood products for quality issues such as inclomplete gluing, warping or blemishing. They also test load bearing qualities of the wood. Graders sort products for quality according to guidelines.
- pulp graderESCO 7543.8.3This occupation is broader
Pulp graders grade paper pulp based on a number of possible criteria, such as pulping process, raw materials, bleaching methods, yield, and fibre length.
- veneer graderESCO 7543.11This occupation is broader
Veneer graders inspect slices of veneer for quality. They look for irregularities, blemishes and production errors, and grade the slices for the desirability of the patterns.
- timber traderESCO 3323.4Overlapping, not the same
Timber traders assess the quality, quantity and market value of timber and timber products for trade. They organise the selling process of new timber and purchase stocks of timber.
Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)
License: CC BY 4.0 (EU Reuse Notice)
ESCO reuse terms and the modification notice are in Credits.
France classification links (ROME)
AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.
| ROME code | ROME title (French) | Relation |
|---|---|---|
| D1418 | Technico-commercial / Technico-commerciale produits bois | Related, not a matchprovisional |
| H2205 | Opérateur / Opératrice de production en industrie du bois | Related, not a matchprovisional |
| H2216 | Responsable de parc à grumes | Related, not a matchprovisional |
Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.
ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.
(AI Changing Work link release: fr-direct v1)
Spain classification links (CNO-11)
AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.
| CNO-11 code | CNO-11 title (Spanish) | Relation |
|---|---|---|
| 7893 | Clasificadores y probadores de productos (excepto alimentos, bebidas y tabaco) | This occupation is narrower |
Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.
(AI Changing Work link release: es-direct v1)
Germany classification links (KldB)
AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.
| KldB code | KldB title (German) | Relation |
|---|---|---|
| 11712 | Berufe in der Forstwirtschaft - fachlich ausgerichtete Tätigkeiten | Related, not a match |
| 22322 | Berufe in der Produktion von Holzwerkstoffen und -bauteilen - fachlich ausgerichtete Tätigkeiten | Related, not a match |
Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.
(AI Changing Work link release: de-direct v1)
Japan classification links (JSCO)
AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.
| JSCO code | JSCO title (Japanese) | Relation |
|---|---|---|
| 479 | その他の林業従事者 | Related, not a match |
| 576 | 木・紙製品検査従事者 | Related, not a match |
Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.
(AI Changing Work link release: jp-direct v1)
Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources