Share and intensity of work current AI systems can materially affect.
SOC 47-2031
Carpenters AI displacement risk
Framing, finishing, and repair carpentry are physical, site-specific, and highly variable. AI tools help with layout, measurement, and estimating, while prefab and robotics absorb only the standardized factory portions of the trade.
Likely potential for exposed tasks to move to software after workflow integration.
Factory-built components change what gets built on site, but renovation, custom, and finish work keeps skilled carpenters in demand. Layout and digital measurement tools augment rather than replace.
Distribution
Where Carpenters sits across 620 tracked roles
Displacement pressure 14 — higher than 8% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
29 O*NET task statements matched to SOC 47-2031. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $60,580 (May 2025, US national). The latest BLS row matched SOC 47-2031.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Carpenters
SOC 47-2031 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 14/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Carpenters
The current evidence import matched 29 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks29
SOC47-2031
- Core task / ID 23432
Measure and mark cutting lines on materials, using a ruler, pencil, chalk, and marking gauge.
- Core task / ID 23430
Follow established safety rules and regulations and maintain a safe and clean environment.
- Core task / ID 23433
Shape or cut materials to specified measurements, using hand tools, machines, or power saws.
- Core task / ID 23436
Select and order lumber or other required materials.
- Core task / ID 23434
Install structures or fixtures, such as windows, frames, floorings, trim, or hardware, using carpenters' hand or power tools.
- Core task / ID 23435
Verify trueness of structure, using plumb bob and level.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Measure, cut, and shape materials
Exposure 14, automation 5%, augmentation 20%.
O*NET evidence: Shape or cut materials to specified measurements, using hand tools, machines, or power ... (ID 23433)
Study blueprints and plan layout
Exposure 36, automation 12%, augmentation 48%.
O*NET evidence: Study specifications in blueprints, sketches, or building plans to prepare project layo... (ID 23431)
Install structures and fixtures
Exposure 12, automation 4%, augmentation 16%.
O*NET evidence: Install structures or fixtures, such as windows, frames, floorings, trim, or hardware, ... (ID 23434)
Prepare estimates and job records
Exposure 44, automation 18%, augmentation 50%.
O*NET evidence: Maintain job records and schedule work crew. (ID 23445)
TaskExposureAutomationAugmentation
Measure, cut, and shape materials145%20%
Study blueprints and plan layout3612%48%
Install structures and fixtures124%16%
Prepare estimates and job records4418%50%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowLead Carpenter
Training horizon: 1-3 months. Skill overlap 82. Wage preservation signal 118.
- Run daily crew coordination
- Own quality walkthroughs
- Track material usage
credentialed transition
LowBuilding Inspector
Training horizon: 6-12 months. Skill overlap 60. Wage preservation signal 116.
- Study building codes systematically
- Pursue inspector certification
- Document construction defects
Comparison guides
Compare the next move before you commit
1-3 months
Carpenters to Lead Carpenter
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Carpenters into Lead Carpenter.
6-12 months
Carpenters to Building Inspector
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Carpenters into Building Inspector.
What the AI risk score means for Carpenters
The displacement pressure score for Carpenters is 14. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Prepare estimates and job records carries 18% automation pressure, while Prepare estimates and job records carries 50% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $60,580 (May 2025, US national). Employment context: Large construction trade with renovation-driven demand. Typical education: Apprenticeship or on-the-job training.
Wage vulnerability is 44, while transition feasibility is 66. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- Housing and renovation demand persists
- Prefab shifts but does not eliminate site work
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Carpenters, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Layout precision
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Blueprint reading
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Finish craftsmanship
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Digital measurement tools
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Lead Carpenter, such as run daily crew coordination.
- By 90 days, compare internal openings and external postings for Lead Carpenter or Building Inspector and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Carpenters
Will AI replace Carpenters?
Framing, finishing, and repair carpentry are physical, site-specific, and highly variable. AI tools help with layout, measurement, and estimating, while prefab and robotics absorb only the standardized factory portions of the trade. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Carpenters work are most exposed to AI?
Prepare estimates and job records and Study blueprints and plan layout show the strongest automation pressure in this model. Prepare estimates and job records and Study blueprints and plan layout are better treated as AI-augmented work.
What should Carpenters learn next?
Start with Layout precision, Blueprint reading, Finish craftsmanship. The most practical adjacent paths in this model are Lead Carpenter and Building Inspector.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics