Gini Loh System Tools

AI Automation Index

Will AI Replace Cabinetmakers and Bench Carpenters?

Task-level automation exposure for Cabinetmakers and Bench Carpenters: 20 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

21% weighted task index

20 of 20 tasks scored

Median Salary

$46,680 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

77,170 people hold this job — size, not growth

Projected 2025–35

-2.9% employment change

6,900 openings a year · BLS line item

Pay by state

BLS OEWS publishes 50 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$22,530 – $60,090

Highest medians

Delaware $60,090
New York $58,680
Connecticut $58,100
Massachusetts $58,040
New Hampshire $57,980

Lowest medians

Puerto Rico $22,530
Oklahoma $36,630
Texas $38,340
Alabama $38,550
Mississippi $38,800

State figures come from the 51-7011 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 21%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 62%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 3%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 0%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 25/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

20 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 9%

2 tasks

Medium exposure (≥ 35%) 11%

3 tasks

Low exposure (below 35%) 80%

15 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#12211 · Core · 28% automatable

Verify dimensions or check the quality or fit of pieces to ensure adherence to specifications.

physical manipulation — Hands-on dimensional measurement of workpieces

Measure dimensions of completed products or workpieces to verify conformance to specifications.
#12210 · Core · 5% automatable

Produce or assemble components of articles, such as store fixtures, office equipment, cabinets, or high-grade furniture.

physical manipulation — Wood assembly requires hands-on fitting and fastening

Assemble wood products.
#12219 · Core · 8% automatable

Trim, sand, or scrape surfaces or joints to prepare articles for finishing.

physical manipulation — Manual trimming of workpieces

Trim excess material from workpieces.
#12213 · Core · 22% automatable

Measure and mark dimensions of parts on paper or lumber stock prior to cutting, following blueprints, to ensure a tight fit and quality product.

physical manipulation — Marking reference points requires hands-on measurement

Measure materials to mark reference points, cutting lines, or other indicators.
#12217 · Core · 8% automatable

Cut timber to the right size, and shape and trim parts of joints to ensure a snug fit, using hand tools, such as planes, chisels, or wood files.

physical manipulation — Manual trimming of workpieces

Trim excess material from workpieces. Cut industrial materials in preparation for fabrication or processing.
#12218 · Core · 30% automatable

Match materials for color, grain, or texture, giving attention to knots or other features of the wood.

visual inspection — Vision AI assists but physical comparison is human

Compare physical characteristics of materials or products to specifications or standards.
#12212 · Core · 10% automatable

Set up or operate machines, including power saws, jointers, mortisers, tenoners, molders, or shapers, to cut, mold, or shape woodstock or wood substitutes.

physical manipulation — Woodworking equipment needs dexterity and material feel

Operate woodworking equipment.
#12216 · Core · 73% automatable

Establish the specifications of articles to be constructed or repaired, or plan the methods or operations for shaping or assembling parts, based on blueprints, drawings, diagrams, or oral or written instructions.

information retrieval — Parse specs and materials from orders

Read work orders or other instructions to determine product specifications or materials requirements. Review blueprints or other instructions to determine operational methods or sequences.
#12220 · Core · 12% automatable

Bore holes for insertion of screws or dowels, by hand or using boring machines.

physical manipulation — Drilling parts requires physical tool operation

Drill holes in parts, equipment, or materials.
#12215 · Core · 5% automatable

Attach parts or subassemblies together to form completed units, using glue, dowels, nails, screws, or clamps.

physical manipulation — Wood assembly requires hands-on fitting and fastening

Assemble wood products.
#12214 · Core · 5% automatable

Reinforce joints with nails or other fasteners to prepare articles for finishing.

physical manipulation — Wood assembly requires hands-on fitting and fastening

Assemble wood products.
#12224 · Core · 10% automatable

Install hardware, such as hinges, handles, catches, or drawer pulls, using hand tools.

physical manipulation — Attaching accessories requires manual fitting

Attach decorative or functional accessories to products.
#12223 · Core · 4% automatable

Perform final touch-ups with sandpaper or steel wool.

physical manipulation — Shaping wood edges requires hands-on tools

Shape surfaces or edges of wood workpieces.
#12226 · Core · 8% automatable

Repair or alter wooden furniture, cabinetry, fixtures, paneling, or other pieces.

physical manipulation — Hands-on upholstery and furniture repair in unstructured materials

Repair furniture or upholstery.
#12228 · Supplemental · 38% automatable

Design furniture, using computer-aided drawing programs.

decision support — AI aids furniture concepts; ergonomics and fabrication human

Operate computers or computerized equipment. Design furniture.
#12221 · Supplemental · 55% automatable

Program computers to operate machinery.

decision support — Programming production equipment needs physical setup and verification

Program equipment to perform production tasks.
#12229 · Supplemental · 10% automatable

Dip, brush, or spray assembled articles with protective or decorative finishes, such as stain, varnish, paint, or lacquer.

physical manipulation — Applying finishes requires hands-on coating work

Apply protective or decorative finishes to workpieces or products.
#20822 · Supplemental · 50% automatable

Draw up detailed specifications and discuss projects with customers.

interpersonal — Order spec negotiation with customers is relational

Confer with customers or designers to determine order specifications.
#12222 · Supplemental · 72% automatable

Estimate the amounts, types, or costs of needed materials.

data analysis — Cost estimation from inputs; human validates

Estimate costs of products, services, or materials. Estimate material requirements for production.
#12227 · Supplemental · 10% automatable

Apply Masonite, formica, or vinyl surfacing materials.

physical manipulation — Applying finishes requires hands-on coating work

Apply protective or decorative finishes to workpieces or products.
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Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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