Helpers--Painters, Paperhangers, Plasterers, and Stucco Masons

O*NET-SOC code: 47-3014.00

Help painters, paperhangers, plasterers, or stucco masons 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

11 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
Clean work areas and equipment. O*NET Task ID 13612	0.0
Perform support duties to assist painters, paperhangers, plasterers, or masons. O*NET Task ID 13613	0.0
Apply protective coverings, such as masking tape, to articles or areas that could be damaged or stained by work processes. O*NET Task ID 13614	0.0
Erect scaffolding. O*NET Task ID 13615	0.0
Fill cracks or breaks in surfaces of plaster articles or areas with putty or epoxy compounds. O*NET Task ID 13616	0.0
Supply or hold tools and materials. O*NET Task ID 13617	0.0
Smooth surfaces of articles to be painted, using sanding and buffing tools and equipment. O*NET Task ID 13618	0.0
Mix plaster, and carry plaster to plasterers. O*NET Task ID 13619	0.0
Place articles to be stripped into stripping tanks. O*NET Task ID 13620	0.0
Remove articles such as cabinets, metal furniture, and paint containers from stripping tanks after prescribed periods of time. O*NET Task ID 13621	0.0
Pour specified amounts of chemical solutions into stripping tanks. O*NET Task ID 13622	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 (11)

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
Clean work areas and equipment.	Core
Perform support duties to assist painters, paperhangers, plasterers, or masons.	Core
Apply protective coverings, such as masking tape, to articles or areas that could be damaged or stained by work processes.	Core
Erect scaffolding.	Core
Fill cracks or breaks in surfaces of plaster articles or areas with putty or epoxy compounds.	Core
Supply or hold tools and materials.	Core
Smooth surfaces of articles to be painted, using sanding and buffing tools and equipment.	Core
Mix plaster, and carry plaster to plasterers.	Supplemental
Place articles to be stripped into stripping tanks.	Supplemental
Remove articles such as cabinets, metal furniture, and paint containers from stripping tanks after prescribed periods of time.	Supplemental
Pour specified amounts of chemical solutions into stripping tanks.	Supplemental

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

0.78/ 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
Clean work areas and equipment.	E1 purpose-built robot settings
Perform support duties to assist painters, paperhangers, plasterers, or masons.	E1 purpose-built robot settings
Apply protective coverings, such as masking tape, to articles or areas that could be damaged or stained by work processes.	E0 none
Erect scaffolding.	E1 purpose-built robot settings
Fill cracks or breaks in surfaces of plaster articles or areas with putty or epoxy compounds.	E1 purpose-built robot settings
Supply or hold tools and materials.	E1 purpose-built robot settings
Smooth surfaces of articles to be painted, using sanding and buffing tools and equipment.	E0 none
Mix plaster, and carry plaster to plasterers.	E2 structured facilities
Place articles to be stripped into stripping tanks.	E1 purpose-built robot settings
Remove articles such as cabinets, metal furniture, and paint containers from stripping tanks after prescribed periods of time.	E1 purpose-built robot settings
Pour specified amounts of chemical solutions into stripping tanks.	E1 purpose-built robot settings

Employment outlook (BLS)

Employment, 2025: 8K
Projected employment, 2035: 8K
Change (2025–35): +1.5%
Median annual wage, 2025: $40,470
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.

construction painterESCO 7131.1Overlapping, not the same
Construction painters paint the interior and exterior of buildings and other structures. They may use standard latex based paints or specialised paints for decorative effect or protective properties. Building painters are skilled in using brushes, paint rollers and paint sprayers for different applications.
paperhangerESCO 7131.2Overlapping, not the same
Paperhangers are specialised in hanging up wallpaper. They apply adhesives to the paper, or to the wall in the case of reinforced wallpaper, and fix the paper straight, well aligned, and avoiding the inclusion of air bubbles.
plastererESCO 7123.2Overlapping, not the same
Plasterers apply plaster made from gypsum, cement or other solutions to walls as a smooth finish. They mix dry plaster powder with water, then smear the resulting paste onto a wall. The plaster is then smoothed before it hardens and forms a solid coating on the wall.

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
F1601	Plâtrier / Plâtrière	Related, not a matchprovisional
F1606	Peintre en bâtiment	Related, not a matchprovisional
F1611	Façadier / Façadière itéiste	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 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
33211	Berufe für Maler- und Lackiererarbeiten - Helfer-/Anlerntätigkeiten	Same scope
33301	Berufe im Aus- und Trockenbau (ohne Spezialisierung) - Helfer-/Anlerntätigkeiten	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
591	生産関連作業従事者	Related, not a matchprovisional
664	左官	Related, not a matchprovisional
669	その他の建設従事者	Related, not a matchprovisional

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