---
title: "Will AI Replace Carpenters? (2026)"
description: "BLS rates carpenters' exposure to AI as low. What that means, which parts of the work AI touches, and the 2025–2035 outlook (+3.9% projected)."
canonical: "https://nuecareer.com/careers/will-ai-replace-carpenters"
last-updated: "2026-10-15T08:19:32.066Z"
---

# Will AI Replace Carpenters? (2026)

**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.

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.

| Measure | Value | Source |
| --- | --- | --- |
| BLS relative AI exposure | Low | BLS Employment Projections, AI exposure categories |
| NueCareer AI-resilience score | 62/100 | NueCareer analysis of O\*NET 31.0 Database |
| Projected employment change | +3.9% | BLS EP 2025–2035 |
| Openings a year | 62,800 | BLS EP 2025–2035 |
| Median annual wage | $60,580 | BLS OEWS May 2025 |

## Exposure categories

| BLS category | Occupations |
| --- | --- |
| Low (this job) | 203 |
| Moderate | 194 |
| High | 190 |
| Very high | 199 |

Exposure means AI could be or has been used to assist with or complete some of the work. BLS says it does not imply job loss, productivity gains, automation probability or wage effects. Method: https://www.bls.gov/emp/publications/ai-exposure-categories.htm

## What holds up

- Face-to-face discussions: 4.9/5 (O\*NET work context)
- Performing general physical activities: 4.0/5 (O\*NET work activity importance)
- Handling and moving objects: 4.1/5 (O\*NET work activity importance)
- Inspecting equipment, structures, or materials: 4.1/5 (O\*NET work activity importance)

## What AI reaches first

- Processing information: 3.6/5 (O\*NET work activity importance)
- Getting information: 4.1/5 (O\*NET work activity importance)
- Being exact or highly accurate: 4.6/5 (O\*NET work context)
- Repetitive motions: 3.5/5 (O\*NET work context)

## O\*NET tasks

- 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.

## Related careers that are also low-exposure

- [Construction Laborer](https://nuecareer.com/careers/construction-laborer): BLS exposure Low, median $47,120; [Will AI replace construction laborers?](https://nuecareer.com/careers/will-ai-replace-construction-laborers)
- [Sheet Metal Worker](https://nuecareer.com/careers/sheet-metal-worker): BLS exposure Low, median $61,800; [Will AI replace sheet metal workers?](https://nuecareer.com/careers/will-ai-replace-sheet-metal-workers)
- [Helpers--Carpenter](https://nuecareer.com/careers/helpers-carpenter): BLS exposure Low, median $43,780
- [Helpers--Brickmason, Blockmason, Stonemason, and Tile and Marble Setter](https://nuecareer.com/careers/helpers-brickmason-blockmason-stonemason-and-tile-and-marble-setter): BLS exposure Low, median $47,550

## 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.

Full profile: https://nuecareer.com/careers/carpenter.

---

This bank includes information from the O\*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O\*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O\*NET content is used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). How these figures are sourced and derived: https://nuecareer.com/careers/methodology