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AI exposure Production

Will AI replace cabinetmakers and bench carpenters?

Cabinetmakers and Bench Carpenters. US occupation 51-7011.

0.0%

of the time cabinetmakers and bench carpenters spend on their work goes on tasks where AI is already being used to do that work.of cabinetmakers and bench carpenters' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for cabinetmakers and bench carpentersWhat cabinetmakers and bench carpenters no longer do alone

O*NET lists 20 tasks for cabinetmakers and bench carpenters. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

20 of the 20 tasks show no AI use at work in the data.

  • Attach parts or subassemblies together to form completed units, using glue, dowels, nails, screws, or clamps.Core task
  • Bore holes for insertion of screws or dowels, by hand or using boring machines.Core task
  • 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.Core task
  • 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.Core task
  • Install hardware, such as hinges, handles, catches, or drawer pulls, using hand tools.Core task
  • Match materials for color, grain, or texture, giving attention to knots or other features of the wood.Core task
Show the other 14
  • Measure and mark dimensions of parts on paper or lumber stock prior to cutting, following blueprints, to ensure a tight fit and quality product.Core task
  • Perform final touch-ups with sandpaper or steel wool.Core task
  • Produce or assemble components of articles, such as store fixtures, office equipment, cabinets, or high-grade furniture.Core task
  • Reinforce joints with nails or other fasteners to prepare articles for finishing.Core task
  • Repair or alter wooden furniture, cabinetry, fixtures, paneling, or other pieces.Core task
  • Set up or operate machines, including power saws, jointers, mortisers, tenoners, molders, or shapers, to cut, mold, or shape woodstock or wood substitutes.Core task
  • Trim, sand, or scrape surfaces or joints to prepare articles for finishing.Core task
  • Verify dimensions or check the quality or fit of pieces to ensure adherence to specifications.Core task
  • Apply Masonite, formica, or vinyl surfacing materials.
  • Design furniture, using computer-aided drawing programs.
  • Dip, brush, or spray assembled articles with protective or decorative finishes, such as stain, varnish, paint, or lacquer.
  • Draw up detailed specifications and discuss projects with customers.
  • Estimate the amounts, types, or costs of needed materials.
  • Program computers to operate machinery.

How that compares

Among the 98 production occupations, cabinetmakers and bench carpenters rank 22. The group averages 0.8%, and its most exposed job is Computer Numerically Controlled Tool Programmers at 12.1%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Bus Drivers, School 0.0%
  2. 346Bus Drivers, Transit and Intercity 0.0%
  3. 346Butchers and Meat Cutters 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.