Career card

Plasterers and Stucco Masons

Also called: Applicator, Plaster Mechanic, Plasterer, Plasterer Journeyman

Apply interior or exterior plaster, cement, stucco, or similar materials. May also set ornamental plaster.

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Median pay BLS, 2025$57,660
Openings a year BLS, 2025–351,500
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +2.8%

What the data says: AI could halve the time on 1 of its 15 tasks, and jobs are projected to grow 2.8% 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.”

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 98% 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 44% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$45k$120knot published

Median pay in every state
StateMedianMiddle half earnJobs
Arizona$49,510$46,390 to $60,4601,910
California$59,940$49,730 to $74,1306,780
Colorado$47,570$41,960 to $73,490480
Florida$47,420$39,180 to $52,7601,970
Hawaii$104,260$79,490 to $106,890110
Illinois$93,790$76,290 to $105,660270
Indiana$53,930$48,580 to $63,17060
Kansas$53,440$48,560 to $59,88080
Louisiana$49,950$44,550 to $56,07040
Maryland$56,890$51,900 to $60,810140
Massachusettsnot publishednot published260
Michigan$72,990$62,370 to $77,450210
Minnesota$102,530$66,990 to $108,160160
Missouri$79,380$73,420 to $87,710420
Montana$46,540$46,340 to $58,74050
Nevada$53,610$48,390 to $64,0201,150
New Hampshire$93,000$61,260 to $104,520not published
New Jersey$69,990$62,060 to $96,60050
New Mexico$45,350$37,440 to $56,040460
New York$120,180$73,000 to $120,190not published
Ohio$62,200$52,570 to $65,240180
Oklahoma$49,450$49,450 to $49,800not published
Oregon$71,180$56,470 to $82,210170
Pennsylvania$70,030$62,600 to $78,200180
Texas$51,140$45,920 to $60,3701,400
Utah$53,710$48,930 to $68,660820
Virginia$64,120$56,730 to $64,310100
Washington$51,840$48,370 to $58,860440
Wisconsin$50,700$48,270 to $54,09040

Nationally: $57,660. 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 1 of its 15 tasks

0 · AI alone could halve the time 1 · AI + software built on it could 14 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Apply coats of plaster or stucco to walls, ceilings, or partitions of buildings, using trowels, brushes, or spray guns. Not published
Not much Cover surfaces such as windows, doors, or sidewalks to protect from splashing. Not published
Not much Clean job sites. Not published
Not much Clean and prepare surfaces for applications of plaster, cement, stucco, or similar materials, such as by drywall taping. Not published
Not much Mix mortar and plaster to desired consistency or direct workers who perform mixing. Not published
Not much Create decorative textures in finish coat, using brushes or trowels, sand, pebbles, or stones. O*NET flags this task's ratings as uncertain Not published
See all 15 tasks
Not much Cure freshly plastered surfaces. O*NET flags this task's ratings as uncertain Not published
AI + software Determine materials needed to complete the job and place orders accordingly. O*NET flags this task's ratings as uncertain under 0.01%
Not much Rough the undercoat surface with a scratcher so the finish coat will adhere. O*NET flags this task's ratings as uncertain Not published
Not much Set up scaffolds. O*NET flags this task's ratings as uncertain Not published
Not much Apply weatherproof, decorative coverings to exterior surfaces of buildings, such as by troweling or spraying on coats of stucco. O*NET flags this task's ratings as uncertain Not published
Not much Apply insulation to building exteriors by installing prefabricated insulation systems over existing walls or by covering the outer wall with insulation board, reinforcing mesh, and a base coat. O*NET flags this task's ratings as uncertain Not published
Not much Spray acoustic materials or texture finish over walls or ceilings. O*NET flags this task's ratings as uncertain Not published
Not much Install guide wires on exterior surfaces of buildings to indicate thickness of plaster or stucco and nail wire mesh, lath, or similar materials to the outside surface to hold stucco in place. O*NET flags this task's ratings as uncertain Not published
Not much Mold or install ornamental plaster pieces, panels, or trim. O*NET flags this task's ratings as uncertain 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. 1 of the 15 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 15 tasks fall under 10 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 up1 of 15 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most1 of 10 activities
  • #36 Purchase goods or services
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
Apply decorative finishes 8.28#102 3.33#109
Build structures 1.81#205 0.31#233
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Perform general construction or extraction activities 1.25#226 0.15#256
Purchase goods or services 47#36 0.39#220
Prepare mixtures or solutions 14#71 3.65#105
Determine resource needs of projects or operations 6.29#111 2.93#115
Position materials or components for assembly 1.64#208 0.45#213
Show all 10 activities
Fabricate devices or components 0.76#251 0.06#278
Set up protective structures or coverings near work areas 0.62#262 0.37#224
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”)

How people in this work use Claude

What people in this work made with Claude % of conversations

  • A document or report16%
  • Advice or a recommendation12%
  • A chart or visualization12%
  • Data or a spreadsheet12%
  • A plan or strategy12%

How they worked with Claude

33% handed the task off67% worked on it together

60% of these conversations were about work. Anthropic Economic Index, May 2026.

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 plasterers and stucco masons 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.Plasterers and stucco masons: +2.8%Plasterers and Stucco MasonsAI 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.Plasterers and stucco masons: +2.8%Plasterers and Stucco Masons

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 604 moves out

  1. 1 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 15%
  2. 2 General and Operations Managers High +5.0% 14%
  3. 3 First-Line Supervisors of Office and Administrative Support Workers Very high +0.1% 7%
  4. 4 Managers, All Other (2010 group) an older group BLS has since split; no exposure group today 7%
  5. 5 Retail Salespersons Very high -0.3% 6%

Where people moved in from

of 681 moves in

  1. 1 General and Operations Managers High +5.0% 12%
  2. 2 First-Line Supervisors of Office and Administrative Support Workers Very high +0.1% 11%
  3. 3 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 10%
  4. 4 Bus Drivers, Transit and Intercity Moderate +4.1% 9%
  5. 5 Retail Salespersons Very high -0.3% 9%

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

  • 68% less than high school
  • 28% high school
  • 3% postsecondary certificate
  • 1% associate's

O*NET 31.0 survey of workers in this occupation · 26 people answered.

Census survey (American Community Survey)

  • 47% less than high school
  • 35% high school
  • 14% some college
  • 3% associate's
  • 1% bachelor's
  • 1% master's

Census ACS 2024, all workers in this occupation · 173 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

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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