Career card

Segmental Pavers

Also called: Cutter, Paver, Paver Installer, Paving Stone Installer

Lay out, cut, and place segmental paving units. Includes installers of bedding and restraining materials for the paving units.

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Median pay BLS, 2025$49,910
Openings a year BLS, 2025–352,400
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Moderate
Projected job growth BLS, 2025–35 +3.9%

What the data says: AI could halve the time on 2 of its 12 tasks, and jobs are projected to grow 3.9% by 2035. How to think about this →

About this projection

BLS builds AI into its projections where the research supports it: “BLS generally applies adjustments based on this research conservatively, where there is convincing evidence for a change.”

It also notes a limit: “BLS projection methods are not designed to capture extremely rapid technological change.”

On its AI exposure groups, BLS says exposure “does not imply job loss.”

BLS figures cover the broader occupation “Miscellaneous construction and related workers”, which includes this one and others.

Recent conditions

  • In 2024, 3.9% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 12.8 hires for every 10 job openings in construction, which employs about 68% of people in this work, against 7.3 across all industries BLS JOLTS One box per opening, filled for each hire; hires beyond the openings are added in a lighter shade. Higher can mean openings get filled, or that people leave often; lower, that jobs go unfilled, or hiring is slow.

How to read these

Pay compared with all occupations BLS median wages Pays more than 33% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$35k$75knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alaska$46,730$46,720 to $62,330not published
Arizona$47,550$43,740 to $60,710not published
Arkansas$42,670$32,020 to $47,380120
California$60,890$50,080 to $80,1702,560
Colorado$54,380$49,570 to $61,2801,160
Connecticut$49,380$48,030 to $61,340500
Delaware$43,060$36,230 to $49,000330
Florida$45,120$39,480 to $51,9102,710
Georgia$46,430$34,520 to $58,8602,920
Hawaii$64,960$64,960 to $70,04080
Idaho$65,420$49,920 to $65,420450
Illinois$48,780$39,490 to $57,680710
Indiana$50,210$45,760 to $66,730250
Iowa$46,990$42,370 to $49,920220
Kansas$45,950$39,570 to $59,810310
Kentucky$35,420$33,860 to $36,43090
Louisiana$49,660$40,930 to $58,3301,000
Maine$75,340$69,050 to $79,13090
Maryland$49,840$41,810 to $61,470990
Massachusetts$70,540$59,280 to $81,070960
Michigan$53,800$42,290 to $62,110660
Minnesota$55,880$44,200 to $69,57080
Mississippi$36,260$30,930 to $36,43060
Missouri$45,090$42,520 to $47,860490
Montana$47,280$39,200 to $57,610310
Nevada$51,430$45,500 to $53,350350
New Hampshire$58,000$51,700 to $59,62090
New Jersey$65,330$52,960 to $102,5601,060
New Mexico$49,930$47,150 to $80,700420
New York$56,170$47,970 to $66,860250
North Carolina$47,510$37,230 to $57,1101,010
North Dakota$66,450$49,110 to $82,780260
Ohio$54,020$43,730 to $75,0701,150
Oklahoma$46,460$44,530 to $47,840not published
Oregon$51,110$46,060 to $66,550190
Pennsylvania$54,950$46,470 to $71,140620
Puerto Rico$30,090$27,870 to $31,080150
South Carolina$48,080$45,070 to $52,270210
Tennessee$41,600$32,000 to $48,990440
Texas$47,840$42,520 to $57,5403,350
Utah$48,880$40,080 to $60,29090
Vermont$49,110$46,660 to $55,950120
Virginia$49,880$46,030 to $59,890570
Washington$69,380$62,370 to $79,800200
West Virginia$44,300$40,170 to $47,89090
Wisconsin$63,320$52,360 to $74,670190

Nationally: $49,910. State figures are for BLS's “Miscellaneous construction and related workers”. Shades run from the lowest state median to the highest; a territory below that range takes the lightest. How to read this

How AI touches the work

What AI could speed up, task by task, and where people already use it.

AI could halve the time on 2 of its 12 tasks

0 · AI alone could halve the time 2 · AI + software built on it could 10 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much 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. Not published
Not much Compact bedding sand and pavers to finish the paved area, using a plate compactor. Not published
Not much Set pavers, aligning and spacing them correctly. Not published
Not much Supply and place base materials, edge restraints, bedding sand and jointing sand. Not published
AI + software Design paver installation layout pattern and create markings for directional references of joints and stringlines. Not published
Not much Sweep sand into the joints and compact pavement until the joints are full. Not published
See all 12 tasks
Not much Sweep sand from the surface prior to opening to traffic. Not published
Not much Cut paving stones to size and for edges, using a splitter and a masonry saw. Not published
Not much Screed sand level to an even thickness, and recheck sand exposed to elements, raking and rescreeding if necessary. O*NET flags this task's ratings as uncertain Not published
AI + software Discuss the design with the client. Not published
Not much Resurface an outside area with cobblestones, terracotta tiles, concrete or other materials. Not published
Not much Cement the edges of the paved area. Not published

Ordered by how important O*NET's respondents rate each task (1 to 5) times the share who say it is part of their job. The ordering is ours. 0 of the 12 have a published share of Claude conversations; “not published” means too few conversations for Anthropic to publish a figure.

Where people already use AI

The tasks above say what AI could speed up. This shows what people are using it for. Its 12 tasks fall under 8 work activities that many occupations share, and Microsoft counted how often each one came up in 200,000 conversations with its Copilot assistant in 2024.

Tasks AI could speed up2 of 12 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most2 of 8 activities
  • #12 Explain regulations, policies, or procedures
  • #14 Create visual designs or displays
Microsoft Copilot (2024), ranked among all 332 activities. The cut-off of 50 is ours.
Work activity This occupation's tasks under it People asked AI for help
in 10,000 conversations
AI did it for them
in 10,000 conversations
Perform general construction or extraction activities 1.25#226 0.15#256
Position materials or components for assembly 1.64#208 0.45#213
Explain regulations, policies, or procedures 131#12 119#15
Create visual designs or displays 127#14 54#27
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Cut materials 2.75#173 0.50#207
Build structures 1.81#205 0.31#233
Move materials, equipment, or supplies 0.65#261 0.09#272
Task: AI alone Task: AI + software Task: not much #: rank among all 332 activities Microsoft measured (#1 = most common; activities that never came up share last place, shown as “tied”)
Where the two sources differ: “Position materials or components for assembly” holds 1 task rated AI + software, yet people asked AI for help with it in 1.64 of every 10,000 conversations, #208 of 332.
How to read this

Work activities come from O*NET, which links every task to the broader activities it involves. Microsoft's figures are for the activity across everyone who used Copilot, not for segmental pavers specifically. Copilot is a general chat assistant; dedicated coding tools are not included, so programming help is under-counted here. Activities are listed by how many of this occupation's tasks fall under them.

The task ratings say whether AI could halve the time a task takes: on its own (“AI alone”), or with software built on it (“AI + software”). They were made by people in 2023 (Eloundou et al.). Claude's share is the task's share of all Claude.ai conversations in May 2026; Anthropic doesn't publish a task with too few conversations. None of these add up to the BLS exposure group, which combines five research measures.

More in the Guide: task ratings · task order · work activities · Copilot figures · Claude

High exposure doesn't mean fewer jobs

BLS projects most occupations in its two most exposed groups to grow: 141 of 206 rated Very high and 165 of 206 rated High. Each dot is one of the 831 occupations BLS rates.

AI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213 growingModerate151 of 206 growingHigh165 of 206 growingVery high141 of 206 growing11 occupations outside −20% to +25% are drawn at the edge. Click a dot to see that occupation.Miscellaneous construction and related workers: +3.9%Segmental PaversAI exposure and projected job growth, 831 occupationsLow exposure: 134 of 213 occupations projected to grow. Moderate exposure: 151 of 206 occupations projected to grow. High exposure: 165 of 206 occupations projected to grow. Very high exposure: 141 of 206 occupations projected to grow.-20%-15%-10%-5%0%+5%+10%+15%+20%+25%Low134 of 213Moderate151 of 206High165 of 206Very high141 of 20611 occupations outside −20% to +25% are drawn at the edge. Tap a dot.Miscellaneous construction and related workers: +3.9%Segmental Pavers

Career moves into and out of this occupation

From moves between occupations found in online resumes, 2002–2016. Career changes only: a first job after school isn't a move.

Where people moved next

of 4,185 moves out

  1. 1 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 8%
  2. 2 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 8%
  3. 3 Property, Real Estate, and Community Association Managers High +3.7% 4%
  4. 4 Construction Managers High +9.1% 4%
  5. 5 First-Line Supervisors of Retail Sales Workers High -3.7% 3%

Where people moved in from

of 4,518 moves in

  1. 1 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 7%
  2. 2 Property, Real Estate, and Community Association Managers High +3.7% 7%
  3. 3 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 6%
  4. 4 First-Line Supervisors of Retail Sales Workers High -3.7% 3%
  5. 5 Construction Managers High +9.1% 3%

Combined from the 2010 occupations “Segmental Pavers” and “Construction and Related Workers, All Other”, which BLS merged into yours. The data has no figures for “Segmental Pavers”, so it isn't included. Resumes over-represent younger, white-collar job-seekers and moves into management. Schubert, Stansbury and Taska (resume data).

Education and training for the occupation

Education people in it hold

O*NET survey of workers in this occupation

  • 7% less than high school
  • 59% high school
  • 31% postsecondary certificate
  • 3% some college
  • 1% associate's

O*NET 31.0 survey of workers in this occupation · 17 people answered.

Census survey (American Community Survey)

  • 28% less than high school
  • 38% high school
  • 20% some college
  • 5% associate's
  • 6% bachelor's
  • 2% master's

Census ACS 2024, all workers in this occupation · 352 people surveyed.

Why the two can differ

O*NET asks about 20 people in each occupation, which makes its shares uncertain, but it reports the exact occupation and counts certificates. The Census survey reaches thousands, but it groups some occupations together and counts degrees only. More in the Guide

Median pay by highest degree full-time, year-round · Census ACS 2024, all workers in this occupation

Jobs that require a credential BLS Occupational Requirements Survey 2023

BLS publishes no credential figures for this occupation.

Look up certifications, training and licenses U.S. Department of Labor

These open in a new tab and send only the occupation's public code. More in the Guide

See where your own career could go Start by uploading your resume Browse careers

BLS AI exposure categories (Aug 2026) · BLS Employment Projections 2025–35 · O*NET 31.0 · Task ratings: Eloundou et al., Science (2024) · Microsoft "Working with AI" v1.1 · Anthropic Economic Index (2026-06-26) · Schubert, Stansbury and Taska · NCES CIP–SOC · Census ACS 2024 · BLS JOLTS

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