Career card

Painting, Coating, and Decorating Workers

Also called: Decorator, Glazer, Painter, Pottery Decorator

Paint, coat, or decorate articles, such as furniture, glass, plateware, pottery, jewelry, toys, books, or leather.

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Median pay BLS, 2025$41,600
Openings a year BLS, 2025–35700
Typical education to start BLSNo formal educational credential
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 +1.3%

What the data says: AI could halve the time on 1 of its 9 tasks, and jobs are projected to grow 1.3% 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, 5.3% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024, all workers in the Census group “Other production workers”
  • From Sep 2025 to Aug 2026, 5.4 hires for every 10 job openings in durable goods manufacturing, which employs about 59% 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 14% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$32k$61knot published

Median pay in every state
StateMedianMiddle half earnJobs
Arizona$37,030$34,410 to $44,51050
Arkansas$40,310$36,400 to $49,28050
California$41,600$41,600 to $43,580not published
Colorado$54,070$46,330 to $61,250170
Connecticut$50,720$45,090 to $56,69050
Florida$37,440$35,850 to $46,140720
Georgia$46,310$37,580 to $56,07060
Idaho$45,050$38,120 to $46,480not published
Illinois$41,960$32,240 to $48,400180
Indiana$41,350$30,830 to $47,150490
Iowa$46,670$40,340 to $59,540100
Kansas$39,470$33,220 to $48,38090
Kentucky$42,220$36,650 to $57,780200
Louisiana$38,320$33,800 to $48,55050
Maryland$47,320$38,340 to $58,18050
Massachusetts$54,070$50,670 to $55,510210
Michigan$38,500$36,370 to $45,560140
Minnesota$43,630$37,050 to $48,560150
Mississippi$33,330$30,940 to $42,95070
Missouri$48,560$44,440 to $50,520140
Montana$34,790$33,080 to $52,00040
Nevada$60,190$52,800 to $64,940not published
New Jersey$52,160$48,390 to $63,05090
New York$48,510$40,200 to $70,050460
North Carolina$42,960$37,580 to $55,290170
Ohio$49,080$40,470 to $51,490230
Oklahoma$36,780$34,320 to $44,130100
Pennsylvania$41,660$36,610 to $46,630180
South Carolina$43,820$31,110 to $48,070140
South Dakota$31,550$30,770 to $37,04040
Tennessee$35,540$31,470 to $41,740200
Texas$32,430$27,500 to $40,850550
Utah$38,430$30,470 to $51,62070
Virginia$47,090$37,960 to $56,840290
Washington$61,210$48,890 to $77,78090
Wisconsin$48,330$48,320 to $50,750230
Wyoming$37,090$36,100 to $37,97060

Nationally: $41,600. 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 9 tasks

0 · AI alone could halve the time 1 · AI + software built on it could 8 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Apply coatings, such as paint, ink, or lacquer, to protect or decorate workpiece surfaces, using spray guns, pens, or brushes. Not published
Not much Examine finished surfaces of workpieces to verify conformance to specifications and retouch any defective areas. Not published
Not much Clean and maintain tools and equipment, using solvents, brushes, and rags. Not published
Not much Read job orders and inspect workpieces to determine work procedures and materials required. Not published
AI + software Select and mix ingredients to prepare coating substances according to specifications, using paddles or mechanical mixers. Not published
Not much Clean surfaces of workpieces in preparation for coating, using cleaning fluids, solvents, brushes, scrapers, steam, sandpaper, or cloth. Not published
See all 9 tasks
Not much Rinse, drain, or wipe coated workpieces to remove excess coating material or to facilitate setting of finish coats on workpieces. Not published
Not much Place coated workpieces in ovens or dryers for specified times to dry or harden finishes. Not published
Not much Conceal blemishes in workpieces, such as nicks and dents, using fillers such as putty. 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 9 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 9 tasks fall under 11 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 9 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most2 of 11 activities
  • #8 Read documents or materials to inform work processes
  • #38 Select materials or equipment for operations or projects
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
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
Read documents or materials to inform work processes 197#8 47#28
Select materials or equipment for operations or projects 45#38 19#49
Prepare mixtures or solutions 14#71 3.65#105
Maintain tools or equipment 4.47#136 1.04#167
Inspect completed work or finished products 3.91#150 1.95#130
Clean tools, equipment, facilities, or work areas 3.36#158 1.16#157
Apply protective solutions or coatings 3.09#165 0.74#178
Show all 11 activities
Apply materials to fill gaps or imperfections 1.40#217 0.49#210
Load products, materials, or equipment for transportation or further processing 0.15#308 0.01#322
Operate industrial processing or production equipment 0.13#309 0.02#301
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 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 painting, coating, and decorating workers 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.Painting, coating, and decorating workers: +1.3%Painting, Coating, and Decorating WorkersAI 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.Painting, coating, and decorating workers: +1.3%Painting, Coating, and Decorating Workers

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 1,407 moves out

  1. 1 Teacher Assistants (2010 group) an older group BLS has since split; no exposure group today 8%
  2. 2 First-Line Supervisors of Retail Sales Workers High -3.7% 5%
  3. 3 Recreation Workers Moderate +4.3% 5%
  4. 4 Occupational Health and Safety Specialists High +18.5% 4%
  5. 5 Bookkeeping, Accounting, and Auditing Clerks Very high -5.6% 4%

Where people moved in from

of 1,357 moves in

  1. 1 Teacher Assistants (2010 group) an older group BLS has since split; no exposure group today 16%
  2. 2 Recreation Workers Moderate +4.3% 8%
  3. 3 First-Line Supervisors of Retail Sales Workers High -3.7% 7%
  4. 4 Bookkeeping, Accounting, and Auditing Clerks Very high -5.6% 5%
  5. 5 Nursing Assistants Low +2.6% 4%

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

  • 59% less than high school
  • 21% high school
  • 3% postsecondary certificate
  • 17% some college

O*NET 31.0 survey of workers in this occupation · 18 people answered.

Census survey (American Community Survey)

  • 17% less than high school
  • 47% high school
  • 19% some college
  • 7% associate's
  • 7% bachelor's
  • 2% master's

Census ACS 2024, all workers in the Census group “Other production workers” · 14,074 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 the Census group “Other production workers”

Jobs that require a credential BLS Occupational Requirements Survey 2023

4.3% this occupation

45.3% all occupations

By kindThis occupationAll occupations
a license<0.5%19.1%
an educational certificate<0.5%2.8%
a certificationnot published

Share of jobs whose employer requires it. BLS doesn't say which credential. How to read this

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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