NueCareer

AI and jobs

Will AI Replace Carpenters? (2026)

The Bureau of Labor Statistics places carpenters in its low AI exposure category, among the occupations least exposed to current AI. BLS projects employment to change by +3.9% over 2025–2035, against 3.5% for all occupations, with about 62,800 openings a year.

Short answer

Very unlikely. BLS rates carpenters among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do.

BLS AI exposure
LowBLS EP supplemental table
AI-resilience score
62/100Higher than 88% of jobs · NueCareer
Projected change
+3.9%BLS EP 2025–2035; all jobs 3.5%
Openings a year
62,800BLS EP 2025–2035

The federal measure

How exposed carpenters are to AI

The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Carpenters land in the low category: among the occupations least exposed to current AI.

Where this job sits on the BLS scale

786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each

  1. Low · this job203 occupations · 26%
  2. Moderate194 occupations · 25%
  3. High190 occupations · 24%
  4. Very high199 occupations · 25%

Source: BLS Employment Projections, AI exposure categories supplemental table.

  1. Exposure is relative. The categories rank occupations against each other; they are not a probability that a job is automated.
  2. BLS says exposure does not imply job loss, productivity gains, automation probability or wage effects. A highly exposed job can still grow if AI makes the people in it more productive.
  3. The classification reflects AI capabilities as the underlying studies measured them. Read the BLS method and limitations.

Inside the work

What AI can and cannot do in this job

O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.

What holds up

Physical, hands-on and person-to-person work

  • Face-to-face discussions4.9/5
    O*NET work context, frequency or level
  • Performing general physical activities4.0/5
    O*NET work activity, importance
  • Handling and moving objects4.1/5
    O*NET work activity, importance
  • Inspecting equipment, structures, or materials4.1/5
    O*NET work activity, importance

What AI reaches first

Routine, repeatable and screen-based work

  • Processing information3.6/5
    O*NET work activity, importance
  • Getting information4.1/5
    O*NET work activity, importance
  • Being exact or highly accurate4.6/5
    O*NET work context, frequency or level
  • Repetitive motions3.5/5
    O*NET work context, frequency or level

The tasks O*NET lists for carpenters

  • Measure and mark cutting lines on materials, using a ruler, pencil, chalk, and marking gauge.
  • Follow established safety rules and regulations and maintain a safe and clean environment.
  • Shape or cut materials to specified measurements, using hand tools, machines, or power saws.
  • Select and order lumber or other required materials.
  • Install structures or fixtures, such as windows, frames, floorings, trim, or hardware, using carpenters' hand or power tools.
  • Verify trueness of structure, using plumb bob and level.

O*NET 31.0 Database task statements, most important first.

The jobs

Will there still be jobs?

Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects +3.9% change in employment over the decade, against 3.5% across all occupations, and about 62,800 openings a year once retirements and career changes are counted. About 670,090 people work in the job today, at a median of $60,580 a year (BLS OEWS, May 2025).

Full carpenter profile: pay by state, entry route and skills

Options

Related careers that are also low-exposure

Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a low exposure category.

  1. Construction Laborer

    Construction and Extraction

    Median pay
    $47,120median a year
    Growth
    +7.3%
    Openings / yr
    120,000
    Education
    No formal credential
    Low
    BLS AI exposure
    72/100
    resilience

    Perform tasks involving physical labor at construction sites.

  2. Sheet Metal Worker

    Construction and Extraction

    Median pay
    $61,800median a year
    Growth
    +2.5%
    Openings / yr
    9,800
    Education
    High school
    Low
    BLS AI exposure
    70/100
    resilience

    Fabricate, assemble, install, and repair sheet metal products and equipment, such as ducts, control boxes, drainpipes, and furnace casings.

  3. Helpers--Carpenter

    Construction and Extraction

    Median pay
    $43,780median a year
    Growth
    −1.7%
    Openings / yr
    2,000
    Education
    No formal credential
    Low
    BLS AI exposure
    67/100
    resilience

    Help carpenters by performing duties requiring less skill.

  4. Median pay
    $47,550median a year
    Growth
    −11.7%
    Openings / yr
    1,100
    Education
    No formal credential
    Low
    BLS AI exposure
    65/100
    resilience

    Help brickmasons, blockmasons, stonemasons, or tile and marble setters by performing duties requiring less skill.

Questions

Will AI Replace Carpenters? FAQ

Will AI replace carpenters?

Very unlikely. BLS rates carpenters among the occupations least exposed to AI, and most of the work is the kind current AI tools cannot do. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +3.9% over 2025–2035, against 3.5% for all occupations, with about 62,800 openings a year.

How exposed are carpenters to AI?

BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Carpenters are in the low category, alongside 202 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.

What parts of a carpenter's job can AI do?

In O*NET's description of the work, the parts that overlap most with what AI handles well are processing information, getting information and being exact or highly accurate. The parts that hold up best are face-to-face discussions, performing general physical activities and handling and moving objects. These come from O*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.

Is being a carpenter a safe career from AI?

On NueCareer's AI-resilience score, built from O*NET work activities, carpenters score 62 out of 100, higher than 88% of the occupations we score. The job pays a median of $60,580 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.

What careers similar to carpenters are less exposed to AI?

Construction Laborer (low exposure, $47,120 median), Sheet Metal Worker (low exposure, $61,800 median), Helpers--Carpenter (low exposure, $43,780 median), Helpers--Brickmason, Blockmason, Stonemason, and Tile and Marble Setter (low exposure, $47,550 median). Each is also in the low category, and most are listed by O*NET as related to the work.

The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.