Will AI replace carpenters?AI replacement risk 9% and how the work is changing
Median annual pay
$60,580
25th–75th pct. $48,510–$76,830
Top pay (est.)
$129,900
Top 10% $99,910
Pay in 5 years
$71,300est.
2031
Pay in 10 years
$83,800est.
$72,100–$97,300
Outlook score
67/100
★★★☆☆ Good
AI replacement risk
9%
Very low
Job growth (10 yr)
+3.9%
63K openings / yr
Will AI replace Carpenters? AI replacement risk
9%
Very low
Ranked #24 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 Carpenters
Key skills
O*NET skill level ratings (0–7).
Key knowledge areas
What the work involves
Handling and Moving ObjectsPerforming General Physical ActivitiesCoordinating the Work and Activities of OthersControlling Machines and ProcessesOrganizing, Planning, and Prioritizing WorkUpdating and Using Relevant KnowledgeCommunicating with Supervisors, Peers, or SubordinatesMonitoring Processes, Materials, or Surroundings
Important abilities
VisualizationManual DexterityOral ExpressionStatic StrengthOral ComprehensionArm-Hand Steadiness
Education of workers
Training before entry
Related work experience
Job Zone 2 — some preparation needed (O*NET)
Difficulty of entry: ★★★☆☆ Moderate (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.