Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Segmental Pavers
Occupation · SOC 47-4091.00
Lay out, cut, and place segmental paving units. Includes installers of bedding and restraining materials for the paving units.
Also called: Cutter · Paver · Paver Installer · Paving Stone Installer · Paver Layer · Segmental Wall Installer · Asphalt Foreman · Asphalt Laborer · Asphalt Paver Operator · Asphalt Paving Coordinator · Asphalt Paving Crew Member · Asphalt Paving Laborer
Job family: Construction and Extraction Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-47-4091-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Market signal
Independent published positions, read together — not a forecast.
- Low AI exposure
- Work is mostly on-site (not teleworkable)
- 2013 flagged this for computerization (68th); today's AI task-overlap is comparatively low (12th)
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) Low | 18th | -1.0 | |
| LLM task exposure, γ (OpenAI / Eloundou) Low | 12th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.0), and including AI-powered software (γ 0.1). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Mixed signals. Today's AI/LLM studies show relatively low exposure for this job, but the older (2013) Frey–Osborne work rated it higher for computerization and robotics. Different eras, different technologies — the AI measures above reflect the current state.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.8 · 68th percentile among occupations · High
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international 2 occupations below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Segmental Pavers sits at the 4th percentile of 427
occupations on the global GenAI task-exposure gradient
. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
11% mean task exposure (2025)
4th percentile of 427 placed occupations
−0 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Stonemasons, Stone Cutters, Splitters and Carvers · 7113 | 11% | Not exposed |
| Concrete Placers, Concrete Finishers and Related Workers · 7114 | 10% | Not exposed |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Tasks
All 12 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Prepare base for installation by removing unstable or unsuitable materials, compacting and grading the soil, draining or stabilizing weak or saturated soils and taking measures to prevent water penetration and migration of bedding sand. Core · importance 4.4
- Supply and place base materials, edge restraints, bedding sand and jointing sand. Core · importance 4.3
- Discuss the design with the client. Core · importance 4.3
- Set pavers, aligning and spacing them correctly. Core · importance 4.2
- Sweep sand into the joints and compact pavement until the joints are full. Core · importance 4.1
- Screed sand level to an even thickness, and recheck sand exposed to elements, raking and rescreeding if necessary. Core · importance 4.1
- Cut paving stones to size and for edges, using a splitter and a masonry saw. Core · importance 4.0
- Compact bedding sand and pavers to finish the paved area, using a plate compactor. Core · importance 4.0
- Design paver installation layout pattern and create markings for directional references of joints and stringlines. Core · importance 4.0
- Sweep sand from the surface prior to opening to traffic. Core · importance 3.9
- Resurface an outside area with cobblestones, terracotta tiles, concrete or other materials. Core · importance 3.3
- Cement the edges of the paved area. Core · importance 3.2
Work activities
- Spread sand, dirt or other loose materials onto surfaces.
- Move construction or extraction materials to locations where they are needed.
- Compact materials to create level bases.
- Clean work sites.
- Align masonry materials.
- Create construction or installation diagrams.
- Mark reference points on construction materials.
- Install masonry materials.
- Communicate with clients about products, procedures, and policies.
- Cut tile, stone, or other masonry materials.
- Finish concrete surfaces.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Mechanical | 3.7 | |
| Building and Construction | 3.1 | |
| Administration and Management | 3.0 | |
| Transportation | 3.0 | |
| Customer and Personal Service | 3.0 |
Abilities
| Oral Comprehension | 3.6 | |
| Oral Expression | 3.6 | |
| Multilimb Coordination | 3.6 | |
| Control Precision | 3.5 | |
| Problem Sensitivity | 3.4 | |
| Arm-Hand Steadiness | 3.4 | |
| Manual Dexterity | 3.4 | |
| Near Vision | 3.4 | |
| Speech Recognition | 3.4 | |
| Information Ordering | 3.3 | |
| Static Strength | 3.3 | |
| Speech Clarity | 3.3 | |
| Deductive Reasoning | 3.1 | |
| Inductive Reasoning | 3.1 | |
| Finger Dexterity | 3.1 | |
| Written Comprehension | 3.0 | |
| Written Expression | 3.0 | |
| Category Flexibility | 3.0 | |
| Visualization | 3.0 | |
| Reaction Time | 3.0 | |
| Trunk Strength | 3.0 | |
| Depth Perception | 3.0 |
Essential skills
| Active Listening | 3.5 | |
| Speaking | 3.5 | |
| Critical Thinking | 3.3 | |
| Monitoring | 2.9 |
Transferable skills
| Coordination | 3.3 | |
| Social Perceptiveness | 3.1 | |
| Operation and Control | 3.1 | |
| Judgment and Decision Making | 3.1 | |
| Persuasion | 3.0 | |
| Service Orientation | 3.0 | |
| Operations Monitoring | 3.0 | |
| Time Management | 3.0 | |
| Instructing | 2.9 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
| Example | Category | |
|---|---|---|
| Microsoft Excel | Spreadsheet software | Hot technology |
| Microsoft Office software | Office suite software | Hot technology |
| Microsoft PowerPoint | Presentation software | Hot technology |
| Microsoft Word | Word processing software | Hot technology |
| Database software | Data base user interface and query software | |
| Decorative Software Online Visualizers | Graphics or photo imaging software | |
| Depiction Software Deco-Con | Graphics or photo imaging software | |
| Depiction Software Deco-Con Estimator | Project management software | |
| Depiction Software Hardscape Imaging | Computer aided design CAD software | |
| UNI-GROUP Lockpave Pro | Computer aided design CAD software | |
| Web browser software | Internet browser software |
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed
- Education
- Usually requires a high school diploma or GED, though some occupations may not.
- Related experience
- Some occupations may need little or no previous experience; others require several months to a year of experience. For example, landscaping and groundskeeping workers might require very little training or previous experience, while agricultural equipment operators can benefit from on-the job training.
- Preparation level
- SVP (Below 6.0) — total schooling plus on-the-job experience.
Education of current workers
Share of people in this occupation at each level of education.
| High School Diploma | 58.9% | |
| Post-Secondary Certificate | 30.9% | |
| Less than a High School Diploma | 6.6% | |
| Some College Courses | 2.8% | |
| Associate's Degree (or other 2-year degree) | 0.8% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Realistic | 6.9 | |
| Conventional | 3.4 | |
| Artistic | 2.0 | |
| Investigative | 1.6 | |
| Social | 1.3 |
Interest areas
Work styles
| Dependability | 2.1 | |
| Attention to Detail | 2.0 | |
| Cautiousness | 1.4 |
Related occupations
- Cement Masons and Concrete Finishers · 47-2051.00 Compare →
- Paving, Surfacing, and Tamping Equipment Operators · 47-2071.00 Compare →
- Terrazzo Workers and Finishers · 47-2053.00 Compare →
- Floor Layers, Except Carpet, Wood, and Hard Tiles · 47-2042.00 Compare →
- Tile and Stone Setters · 47-2044.00 Compare →
- Construction Laborers · 47-2061.00 Compare →
- Stonemasons · 47-2022.00 Compare →
- Brickmasons and Blockmasons · 47-2021.00 Compare →
- Helpers--Brickmasons, Blockmasons, Stonemasons, and Tile and Marble Setters · 47-3011.00 Compare →
- Plasterers and Stucco Masons · 47-2161.00 Compare →
- Roofers · 47-2181.00 Compare →
- Drywall and Ceiling Tile Installers · 47-2081.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Segmental Pavers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Job zone 2 — Job Zone 1-2: Very Little to Some Preparation Needed · preparation tier
Zoom out
On the global GenAI exposure gradient this work sits around the 4th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Segmental Pavers sit at the 12th percentile of AI task overlap among U.S. occupations
- Segmental Pavers rank in the 12th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
Copy the whole kit
Segmental Pavers sit at the 12th percentile of AI task overlap among U.S. occupations • Segmental Pavers rank in the 12th percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) Source: Singulariki — "Segmental Pavers". https://singulariki.com/roles/role-47-4091-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Segmental Pavers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-47-4091-00
APA
Singulariki. (2026). Segmental Pavers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-47-4091-00
BibTeX
@misc{singulariki-role-47-4091-00,
title = {Segmental Pavers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-47-4091-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.