Helpers--Carpenters

O*NET-SOC code: 47-3012.00

Help carpenters by performing duties requiring less skill. Duties include using, supplying, or holding materials or tools, and cleaning work area and equipment.

Data source: BLSPublished: 2026-08
Low· relative
LowFour relative bandsVery high
Group-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
Source dataset (XLSX download)
Data source: AnthropicPublished: 2026-03
0.000
0.000Range of values carried here0.745
Scale, 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
Source dataset (CSV download)
Data source: ILOPublished: 2025
0.09
0.09Range of values carried here0.70
Group-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
Source dataset (PDF download)

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

18 rated tasks · 0 tasks with β ≥ 0.5 (0.0%)

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
All rated tasks are in the O*NET 31.0 task list.

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
Position and hold timbers, lumber, or paneling in place for fastening or cutting. O*NET Task ID 8267	0.0
Erect scaffolding, shoring, or braces. O*NET Task ID 8268	0.0
Select tools, equipment, or materials from storage and transport items to work site. O*NET Task ID 8269	0.0
Fasten timbers or lumber with glue, screws, pegs, or nails and install hardware. O*NET Task ID 8270	0.0
Clean work areas, machines, or equipment, to maintain a clean and safe job site. O*NET Task ID 8271	0.0
Hold plumb bobs, sighting rods, or other equipment to aid in establishing reference points and lines. O*NET Task ID 8272	0.0
Align, straighten, plumb, or square forms for installation. O*NET Task ID 8273	0.0
Smooth or sand surfaces to remove ridges, tool marks, glue, or caulking. O*NET Task ID 8275	0.0
Perform tie spacing layout and measure, mark, drill or cut. O*NET Task ID 8276	0.0
Secure stakes to grids for constructions of footings, nail scabs to footing forms, and vibrate and float concrete. O*NET Task ID 8277	0.0
Construct forms and assist in raising them to the required elevation. O*NET Task ID 8278	0.0
Install handrails under the direction of a carpenter. O*NET Task ID 8279	0.0
Glue and clamp edges or joints of assembled parts. O*NET Task ID 8280	0.0
Cut and install insulating or sound-absorbing material. O*NET Task ID 8281	0.0
Cut tile or linoleum to fit and spread adhesives on flooring for installation. O*NET Task ID 8282	0.0
Cover surfaces with laminated plastic covering material. O*NET Task ID 8283	0.0
Drill holes in timbers or lumber. O*NET Task ID 20443	0.0
Cut timbers, lumber, or paneling to specified dimensions. O*NET Task ID 20444	0.0

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 (19)

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
Position and hold timbers, lumber, or paneling in place for fastening or cutting.	Core
Erect scaffolding, shoring, or braces.	Core
Select tools, equipment, or materials from storage and transport items to work site.	Core
Fasten timbers or lumber with glue, screws, pegs, or nails and install hardware.	Core
Clean work areas, machines, or equipment, to maintain a clean and safe job site.	Core
Hold plumb bobs, sighting rods, or other equipment to aid in establishing reference points and lines.	Core
Align, straighten, plumb, or square forms for installation.	Core
Install handrails under the direction of a carpenter.	Core
Glue and clamp edges or joints of assembled parts.	Core
Drill holes in timbers or lumber.	Core
Cut timbers, lumber, or paneling to specified dimensions.	Core
Cut or weld metal.	Core
Smooth or sand surfaces to remove ridges, tool marks, glue, or caulking.	Supplemental
Perform tie spacing layout and measure, mark, drill or cut.	Supplemental
Secure stakes to grids for constructions of footings, nail scabs to footing forms, and vibrate and float concrete.	Supplemental
Construct forms and assist in raising them to the required elevation.	Supplemental
Cut and install insulating or sound-absorbing material.	Supplemental
Cut tile or linoleum to fit and spread adhesives on flooring for installation.	Supplemental
Cover surfaces with laminated plastic covering material.	Supplemental

Anthropic, "What work can robots do?"2026-09

1.28/ 3· Robot exposure index

0 none3 unstructured settings

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.

Source dataset

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
Position and hold timbers, lumber, or paneling in place for fastening or cutting.	E1 purpose-built robot settings
Erect scaffolding, shoring, or braces.	E0 none
Select tools, equipment, or materials from storage and transport items to work site.	E2 structured facilities
Fasten timbers or lumber with glue, screws, pegs, or nails and install hardware.	E1 purpose-built robot settings
Clean work areas, machines, or equipment, to maintain a clean and safe job site.	E2 structured facilities
Hold plumb bobs, sighting rods, or other equipment to aid in establishing reference points and lines.	E3 unstructured settings
Align, straighten, plumb, or square forms for installation.	E1 purpose-built robot settings
Smooth or sand surfaces to remove ridges, tool marks, glue, or caulking.	E1 purpose-built robot settings
Perform tie spacing layout and measure, mark, drill or cut.	E1 purpose-built robot settings
Secure stakes to grids for constructions of footings, nail scabs to footing forms, and vibrate and float concrete.	E1 purpose-built robot settings
Construct forms and assist in raising them to the required elevation.	E1 purpose-built robot settings
Install handrails under the direction of a carpenter.	E1 purpose-built robot settings
Glue and clamp edges or joints of assembled parts.	E1 purpose-built robot settings
Cut and install insulating or sound-absorbing material.	E1 purpose-built robot settings
Drill holes in timbers or lumber.	E1 purpose-built robot settings
Cut timbers, lumber, or paneling to specified dimensions.	E1 purpose-built robot settings
Cut tile or linoleum to fit and spread adhesives on flooring for installation.	E1 purpose-built robot settings
Cover surfaces with laminated plastic covering material.	E1 purpose-built robot settings

Employment outlook (BLS)

Employment, 2025: 22K
Projected employment, 2035: 22K
Change (2025–35): -1.7%
Median annual wage, 2025: $43,780
Typical education needed for entry: No formal educational credential

lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

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
91001	건설 단순 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 9313Building Construction Labourers

The definition, tasks and examples below are the ILO's description of that unit group, not of this occupation.

Building construction labourers perform routine tasks in connection with building construction and demolition work.

Tasks

(a) cleaning used building bricks and doing other simple work on demolition sites;
(b) mixing, pouring and spreading materials such as concrete, plaster and mortar;
(c) digging and filling holes and trenches using hand held tools;
(d) spreading sand, soil, gravel and similar materials;
(e) loading and unloading construction materials, excavated material and equipment and transporting them around construction sites using wheelbarrows, hods and hand trucks;
(f) cleaning work sites and removing obstructions.

Example occupations

Bricklayer's assistant · Construction labourer (building work) · Demolition labourer · Hod carrier

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.

carpenterESCO 7115.1Overlapping, not the same
Carpenters cut, shape and assemble wooden elements for the construction of buildings and other structures. They also use materials such as plastic and metal in their creations. Carpenters create the wooden frames to support wood framed buildings.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

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
F1503	Charpentier / Charpentière	Related, not a matchprovisional
F1704	Manœuvre du Bâtiment et des Travaux Publics	Related, not a matchprovisional
H2206	Menuisier / Menuisière	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
9602	Peones de la construcción de edificios	This occupation is narrowerprovisional
7131	Carpinteros (excepto ebanistas)	Related, not a match

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
33301	Berufe im Aus- und Trockenbau (ohne Spezialisierung) - Helfer-/Anlerntätigkeiten	This occupation is narrower

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
661	大工	This occupation is narrower
739	その他の運搬・清掃・包装等従事者	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