Career card

Furniture Finishers

Also called: Finisher, Furniture Finisher, Lacquer Sprayer, Sprayer

Shape, finish, and refinish damaged, worn, or used furniture or new high-grade furniture to specified color or finish.

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Median pay BLS, 2025$44,540
Openings a year BLS, 2025–351,500
Typical education to start BLSHigh school diploma or equivalent
AI exposure BLS, Aug 2026 Low
Projected job growth BLS, 2025–35 -3.5%

What the data says: AI could halve the time on 4 of its 22 tasks, and jobs are projected to shrink 3.5% 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, 3.0% of people in this work were unemployed, against 3.8% across all occupations Census ACS 2024
  • From Sep 2025 to Aug 2026, 5.4 hires for every 10 job openings in durable goods manufacturing, which employs about 73% 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 19% of 825 occupations
lowest-paidhighest-paid

Median pay by state BLS OEWS May 2025, state estimates

$32k$60knot published

Median pay in every state
StateMedianMiddle half earnJobs
Alabama$34,950$32,600 to $43,450190
Arizona$39,660$38,410 to $46,840410
Arkansas$39,140$37,300 to $43,34030
California$49,080$43,130 to $59,1401,010
Colorado$50,000$42,430 to $59,060170
Connecticut$59,830$49,280 to $62,77090
Florida$45,600$38,700 to $48,9301,470
Georgia$38,880$31,850 to $45,760290
Idaho$39,510$31,350 to $45,070160
Illinois$47,600$38,300 to $51,110170
Indiana$43,220$38,650 to $48,0001,280
Iowa$46,530$45,810 to $49,79070
Kansas$39,450$39,310 to $41,600200
Kentucky$42,950$36,610 to $47,84050
Louisiana$38,920$33,520 to $42,31050
Maine$45,560$43,650 to $46,57080
Maryland$43,880$38,480 to $48,97060
Massachusetts$56,300$49,990 to $62,240340
Michigan$45,260$37,950 to $50,320570
Minnesota$48,640$47,140 to $56,890340
Mississippi$38,430$29,470 to $44,450130
Missouri$46,220$37,060 to $48,620410
Nebraska$45,540$45,540 to $59,21080
Nevada$46,980$40,640 to $49,590190
New Hampshire$56,050$37,820 to $60,30030
New Jersey$37,690$35,720 to $47,860260
New Mexico$41,290$39,200 to $48,31050
New York$48,340$41,600 to $57,7201,000
North Carolina$39,920$36,470 to $46,310950
Ohio$46,290$37,890 to $49,630190
Oklahoma$37,190$29,320 to $46,43030
Oregon$42,760$39,600 to $45,120190
Pennsylvania$47,450$40,590 to $55,310790
South Carolina$43,310$38,270 to $46,300120
South Dakota$39,340$35,850 to $49,000110
Tennessee$32,160$32,160 to $36,680620
Texas$36,350$28,170 to $45,450980
Utah$45,160$39,640 to $46,520250
Vermont$47,280$45,090 to $50,44030
Virginia$38,020$32,140 to $45,200230
Washington$42,990$38,340 to $50,440360
West Virginia$41,600$40,640 to $46,080100
Wisconsin$43,180$38,790 to $47,810260

Nationally: $44,540. 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 4 of its 22 tasks

0 · AI alone could halve the time 4 · AI + software built on it could 18 · Not much
AI ratingIts main tasks Share of Claude conversations
May 2026
Not much Brush, spray, or hand-rub finishing ingredients, such as paint, oil, stain, or wax, onto and into wood grain and apply lacquer or other sealers. Not published
Not much Remove old finishes and damaged or deteriorated parts, using hand tools, stripping tools, sandpaper, steel wool, abrasives, solvents, or dip baths. Not published
Not much Smooth, shape, and touch up surfaces to prepare them for finishing, using sandpaper, pumice stones, steel wool, chisels, sanders, or grinders. Not published
Not much Remove accessories prior to finishing, and mask areas that should not be exposed to finishing processes or substances. Not published
Not much Fill and smooth cracks or depressions, remove marks and imperfections, and repair broken parts, using plastic or wood putty, glue, nails, or screws. Not published
Not much Examine furniture to determine the extent of damage or deterioration, and to decide on the best method for repair or restoration. Not published
See all 22 tasks
AI + software Select appropriate finishing ingredients such as paint, stain, lacquer, shellac, or varnish, depending on factors such as wood hardness and surface type. Not published
Not much Treat warped or stained surfaces to restore original contours and colors. Not published
Not much Mix finish ingredients to obtain desired colors or shades. Not published
Not much Distress surfaces with woodworking tools or abrasives before staining to create an antique appearance, or rub surfaces to bring out highlights and shadings. Not published
Not much Remove excess solvent, using cloths soaked in paint thinner. Not published
Not much Stencil, gild, emboss, mark, or paint designs or borders to reproduce the original appearance of restored pieces, or to decorate new pieces. Not published
Not much Disassemble items to prepare them for finishing, using hand tools. Not published
Not much Wash surfaces to prepare them for finish application. Not published
AI + software Confer with customers to determine furniture colors or finishes. Not published
AI + software Recommend woods, colors, finishes, and furniture styles, using knowledge of wood products, fashions, and styles. 0.01%
AI + software Follow blueprints to produce specific designs. Not published
Not much Paint metal surfaces electrostatically, or by using a spray gun or other painting equipment. Not published
Not much Replace or refurbish upholstery of items, using tacks, adhesives, softeners, solvents, stains, or polish. Not published
Not much Brush bleaching agents on wood surfaces to restore natural color. Not published
Not much Design, create, and decorate entire pieces or specific parts of furniture, such as draws for cabinets. Not published
Not much Spread graining ink over metal portions of furniture to simulate wood-grain finish. 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 22 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 22 tasks fall under 15 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 up4 of 22 tasksEloundou et al. ratings (2023)
Its activities among the 50 people ask AI for help with most2 of 15 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
Apply protective solutions or coatings 3.09#165 0.74#178
Repair workpieces or products 4.07#144 0.68#186
Shape materials to create products 3.04#167 0.26#235
Clean workpieces, finished products, or other objects 4.02#145 1.20#155
Disassemble equipment 2.48#182 0.82#170
Read documents or materials to inform work processes 197#8 47#28
Select materials or equipment for operations or projects 45#38 19#49
Confer with clients to determine needs or order specifications 20#56 107#17
Show all 15 activities
Prepare mixtures or solutions 14#71 3.65#105
Advise others on business or operational matters 11#86 34#35
Inspect characteristics or conditions of materials or products 6.84#109 1.28#150
Design structures or facilities 1.61#209 0.53#197
Apply materials to fill gaps or imperfections 1.40#217 0.49#210
Operate cutting or grinding equipment 0.54#267 0.01#321
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 people in this work use Claude

What people in this work made with Claude % of conversations

  • Advice or a recommendation46%
  • A plan or strategy11%
  • A document or report9%
  • A design mockup9%
  • An explanation or answer8%

How they worked with Claude

32% handed the task off68% worked on it together

19% 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 furniture finishers 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.Furniture finishers: -3.5%Furniture FinishersAI 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.Furniture finishers: -3.5%Furniture Finishers

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 587 moves out

  1. 1 Maintenance and Repair Workers, General Low +4.2% 15%
  2. 2 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 5%
  3. 3 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 5%
  4. 4 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 5%
  5. 5 Retail Salespersons Very high -0.3% 3%

Where people moved in from

of 778 moves in

  1. 1 Retail Salespersons Very high -0.3% 11%
  2. 2 Laborers and Freight, Stock, and Material Movers, Hand Low +1.8% 7%
  3. 3 Production Workers, All Other (2010 group) an older group BLS has since split; no exposure group today 4%
  4. 4 Heavy and Tractor-Trailer Truck Drivers Moderate +3.8% 4%
  5. 5 Cooks, Restaurant Moderate +12.1% 3%

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

  • 36% less than high school
  • 61% high school
  • 3% postsecondary certificate

O*NET 31.0 survey of workers in this occupation · 25 people answered.

Census survey (American Community Survey)

  • 16% less than high school
  • 38% high school
  • 23% some college
  • 2% associate's
  • 16% bachelor's
  • 1% master's
  • 3% professional degree

Census ACS 2024, all workers in this occupation · 93 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

Programs that prepare people for it (NCES)
1 program: Furniture Design and Manufacturing.

Jobs that require a credential BLS Occupational Requirements Survey 2023

11.3% 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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