Medium AI Risk Slow Growth

Furniture finishers

SOC Code: 51-7021

Furniture finishers carries a 27% AI exposure score (Medium automation risk), with a median annual wage of $42,530 and -3.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 20,500 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
27% Medium

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
-3.3%
2024–2034 (BLS)
-700 jobs
Median Annual Wage
$42,530
BLS May 2024
How wage figures are sourced →
The verdict

At 27% AI exposure, Furniture finishers sits 10 points below the 37.2% average across 832 U.S. occupations - more exposed than 22% of them. Most of its core tasks still require human judgment.

27%
AI exposure
22nd
percentile
-3.3%
Job growth 2024–34
$42,530
Median wage

Where Furniture finishers sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

AI exposure distribution - Furniture finishers marked 1 occupations at 0–10% 1 0 43 occupations at 10–20% 43 10 184 occupations at 20–30% 184 20 332 occupations at 30–40% 332 30 158 occupations at 40–50% 158 40 64 occupations at 50–60% 64 50 29 occupations at 60–70% 29 60 15 occupations at 70–80% 15 70 5 occupations at 80–90% 5 80 1 occupations at 90–100% 1 90 AI exposure (%) →
Top 78% by AI exposure Higher AI exposure than 22% of all 832 occupations.

Furniture finishers has ai exposure of 27%. Distribution: 1 occupations at 0-10%; 43 occupations at 10-20%; 184 occupations at 20-30%; 332 occupations at 30-40%; 158 occupations at 40-50%; 64 occupations at 50-60%; 29 occupations at 60-70%; 15 occupations at 70-80%; 5 occupations at 80-90%; 1 occupations at 90-100%.

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Furniture finishers vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Furniture finishers is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk26%31.5%37%42.5%48%-11.5%-7.0%-2.5%1.9%6.4%AI exposure (%) →Projected growth (%) →Furniture finishersMiscellaneous assembFirst-line supervisoInspectorsWeldersPackagingMachinistsProduction workersElectricalBakersLaundryComputer numerically

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

20,500
Employment 2024
19,800
Projected 2034
-3.3%
Change (%)
-700
Change (jobs)

Occupation Insight

Furniture finishers (SOC 51-7021) carries an AI exposure score of 27%, placing it in the Medium automation-risk tier. This score is computed from O*NET Database 30.0 task-level analysis, where each task an occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The economic context matters alongside the risk score. BLS counted approximately 20,500 workers in this occupation in 2024, and projects a -3.3% change through 2034 - a decline that often compounds with high AI exposure to create displacement headwinds. Median annual compensation stands at $42,530, reflecting both skill scarcity and the value employers place on the tasks that remain difficult to automate. Entry typically requires High school diploma or equivalent, plus None of related experience.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Furniture finishers. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure. Pair the AI exposure score with the BLS employment projection and wage percentiles above for a complete career assessment.

Education & Entry Requirements

Typical Education
High school diploma or equivalent
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Confer with customers to determine furniture colors or finishes.
  2. 2. 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.
  3. 3. Fill and smooth cracks or depressions, remove marks and imperfections, and repair broken parts, using plastic or wood putty, glue, nails, or screws.
  4. 4. Smooth, shape, and touch up surfaces to prepare them for finishing, using sandpaper, pumice stones, steel wool, chisels, sanders, or grinders.
  5. 5. Remove accessories prior to finishing, and mask areas that should not be exposed to finishing processes or substances.
  6. 6. Remove old finishes and damaged or deteriorated parts, using hand tools, stripping tools, sandpaper, steel wool, abrasives, solvents, or dip baths.
  7. 7. Recommend woods, colors, finishes, and furniture styles, using knowledge of wood products, fashions, and styles.
  8. 8. Treat warped or stained surfaces to restore original contours and colors.
  9. 9. Select appropriate finishing ingredients such as paint, stain, lacquer, shellac, or varnish, depending on factors such as wood hardness and surface type.
  10. 10. Mix finish ingredients to obtain desired colors or shades.

Key Skills Required

  • Active Listening
  • Critical Thinking
  • Monitoring
  • Speaking
  • Operations Monitoring
  • Judgment and Decision Making
  • Time Management
  • Coordination
  • Service Orientation
  • Complex Problem Solving

Knowledge Areas

  • Production and Processing
  • Mechanical
  • Design
  • Education and Training
  • English Language
  • Customer and Personal Service
  • Mathematics
  • Building and Construction
  • Administration and Management
  • Public Safety and Security

Frequently Asked Questions

Will AI replace Furniture finishers?

Furniture finishers has an AI exposure score of 27%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Furniture finishers?

According to BLS Employment Projections 2024-2034, Furniture finishers is projected to decline by 3.3% over the decade. Current employment stands at approximately 20,500 workers.

What skills are needed for Furniture finishers?

Key skills for Furniture finishers include Active Listening, Critical Thinking, Monitoring, and others. Typical entry-level education is High school diploma or equivalent.

How much do Furniture finishers earn?

The median annual wage for Furniture finishers is $42,530, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Furniture finishers?

The typical entry-level education for Furniture finishers is High school diploma or equivalent. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Furniture finishers?

Furniture finishers roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.4
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainWorkforce Editorial

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.