Rock Splitters, Quarry
Construction and Extraction Occupations- O*NET-SOC code
- 47-5051.00
Separate blocks of rough dimension stone from quarry mass using jackhammers, wedges, or chop saws.
- 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
0.17
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
Exposed tasks only9 rated tasks · 1 tasks with β ≥ 0.5 (11.1%)
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 |
|---|---|
Locate grain line patterns to determine how rocks will split when cut.O*NET Task ID 14966 | 0.5 |
Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools.O*NET Task ID 14967 | 0.0 |
Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses.O*NET Task ID 14968 | 0.0 |
Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines.O*NET Task ID 14969 | 0.0 |
Cut slabs of stone into sheets that will be used for floors or counters.O*NET Task ID 14970 | 0.0 |
Set charges of explosives to split rock.O*NET Task ID 14971 | 0.0 |
Drill holes along outlines, using jackhammers.O*NET Task ID 14972 | 0.0 |
Drill holes into sides of stones broken from masses, insert dogs or attach slings, and direct removal of stones.O*NET Task ID 14973 | 0.0 |
Cut grooves along outlines, using chisels.O*NET Task ID 14974 | 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 (9)
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 |
|---|---|
| Locate grain line patterns to determine how rocks will split when cut. | Core |
| Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools. | Core |
| Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses. | Core |
| Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines. | Core |
| Cut slabs of stone into sheets that will be used for floors or counters. | Supplemental |
| Set charges of explosives to split rock. | Supplemental |
| Drill holes along outlines, using jackhammers. | Supplemental |
| Drill holes into sides of stones broken from masses, insert dogs or attach slings, and direct removal of stones. | Supplemental |
| Cut grooves along outlines, using chisels. | Supplemental |
0.72/ 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 |
|---|---|
| Locate grain line patterns to determine how rocks will split when cut. | E0 none |
| Remove pieces of stone from larger masses, using jackhammers, wedges, and other tools. | E1 purpose-built robot settings |
| Insert wedges and feathers into holes, and drive wedges with sledgehammers to split stone sections from masses. | E0 none |
| Mark dimensions or outlines on stone prior to cutting, using rules and chalk lines. | E1 purpose-built robot settings |
| Cut slabs of stone into sheets that will be used for floors or counters. | E1 purpose-built robot settings |
| Set charges of explosives to split rock. | E1 purpose-built robot settings |
| Drill holes along outlines, using jackhammers. | E1 purpose-built robot settings |
| Drill holes into sides of stones broken from masses, insert dogs or attach slings, and direct removal of stones. | E1 purpose-built robot settings |
| Cut grooves along outlines, using chisels. | E1 purpose-built robot settings |
Occupation information
Employment outlook (BLS)
- Employment, 2025
- 4K
- Projected employment, 2035
- 4K
- Change (2025–35)
- +5.8%
- Median annual wage, 2025
- $48,740
- Typical education needed for entry
- No formal educational credential
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 |
|---|---|---|---|
| 78412 | 채석원 | This occupation is narrower | confirmed |
| 78413 | 석재 절단원 | 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 8111Miners and Quarriers
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.
- stone splitterESCO 8114.8Same scope
Stone splitters operate and maintain machines that split stone. They manipulate stone into different forms such as blocks, cobbles, tiles and concrete products.
- mineral crushing operatorESCO 8112.1This occupation is broader
Mineral crushing operators operate and monitor crushers and other machines to crush materials and minerals. They move stones to the crushers, fill the machines with minerals, monitor the crushing process and ensure that the end products meet requirements.
- stone drillerESCO 8112.3This occupation is broader
Stone drillers operate the drilling machine that bores holes into stone blocks. They manipulate granit, sandstone, marble and slate according to specifications.
- stone planerESCO 8112.4This occupation is broader
Stone planers operate and maintain planing machines that are used for stone blocks and slabs finishing. They manipulate the stone and ensure that the required parameters are according to specifications.
- stone polisherESCO 8114.7Overlapping, not the same
Stone polishers operate grinding and polishing tools and equipment in order to smooth stones.
- stonemasonESCO 7113.1Overlapping, not the same
Stonemasons manually carve and assemble stone for construction purposes. While CNC operated carving equipment is the industry standard, artisanal carving for ornamental stone is still done manually.
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 |
|---|---|---|
| F1402 | Boutefeu | This occupation is narrowerprovisional |
| F1612 | Tailleur / Tailleuse de pierre | 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 |
|---|---|---|
| 7122 | Canteros, tronzadores, labrantes y grabadores de piedras | 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 |
|---|---|---|
| 21212 | Berufe in der Naturstein- und Mineralaufbereitung - fachlich ausgerichtete Tätigkeiten | 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 |
|---|---|---|
| 692 | 石切出従事者 | This occupation is narrowerprovisional |
| 693 | 砂利・砂・粘土採取従事者 | 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