Shigoto Zukan
日本語

Will AI replace furniture finishers?AI replacement risk 22% and how the work is changing

United States Manufacturing & Repair Confidence ★★★★★

Median annual pay
$44,540
25th–75th pct. $37,670–$49,730
Top pay (est.)
$79,300
Top 10% $61,020
Pay in 5 years
$51,200est.
2031
Pay in 10 years
$58,900est.
$50,700–$68,400
Outlook score
44/100
★★☆☆☆ Below average
AI replacement risk
22%
Low
Job growth (10 yr)
−3.5%
1,500 openings / yr

Will AI replace Furniture Finishers? AI replacement risk

22%
Low
Ranked #147 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high

How AI is changing this job

A written analysis for this occupation is being prepared.

AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →

Skills, education and requirements for Furniture Finishers

Key skills

Critical Thinking
3.1
Operations Monitoring
3.0
Active Listening
3.0
Monitoring
2.9
Time Management
2.9
Quality Control Analysis
2.9
Complex Problem Solving
2.8
Coordination
2.8

O*NET skill level ratings (0–7).

Key knowledge areas

Mechanical
3.0
Production and Processing
2.9
Education and Training
2.8
English Language
2.6
Customer and Personal Service
2.6
Chemistry
2.5
Design
2.4
Building and Construction
2.3

What the work involves

Handling and Moving ObjectsMonitoring Processes, Materials, or SurroundingsIdentifying Objects, Actions, and EventsPerforming General Physical ActivitiesInspecting Equipment, Structures, or MaterialsEstablishing and Maintaining Interpersonal RelationshipsMaking Decisions and Solving ProblemsOrganizing, Planning, and Prioritizing Work

Important abilities

Near VisionVisualizationManual DexterityVisual Color DiscriminationFinger DexterityControl Precision

Education of workers

High school diploma
61%
Less than high school
36%
Post-secondary certificate
3%

Training before entry

6–12 months
23%
1–2 years
21%
Up to 1 month
17%
None / short demo
14%
4–10 years
9%
1–3 months
9%
3–6 months
8%

Related work experience

None
24%
1–2 years
21%
4–6 years
9%
6–12 months
9%
3–6 months
9%
8–10 years
9%
6–8 years
8%
Over 10 years
7%
1–3 months
3%
Up to 1 month
1%

Job Zone 2 — some preparation needed (O*NET)

Difficulty of entry: ★★☆☆☆ Fairly easy (from education, training, experience and Job Zone)

Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.