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Carpenters

Construction, Maintenance & Repairvery lowaugment
BLS 2024-34: +2%
Median Wage: $56,000
Employment: 750K

Overall Exposure

7+4

2025 vs 2023

Theoretical Exposure

14

What AI could do

Observed Exposure

3

What AI actually does

Automation Risk Score

5

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

7→13
+6

2025 → 2028 (estimated)

Theoretical Exposure

14→23
+9

2025 → 2028 (estimated)

Observed Exposure

3→6
+3

2025 → 2028 (estimated)

Automation Risk

5→9
+4

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
20233812actual
202451123actual
202571435actual
202691746estimated
2027112058estimated
2028132369estimated

Task Breakdown

Read blueprints and specifications
25%β 0.5
Cut and shape wood materials
8%β 0
Estimate material requirements
45%β 0.5
Install frameworks and structures
5%β 0

About This Occupation

If you work as a Carpenters, AI is reshaping your profession. With an automation risk of 5/100 and overall exposure at 7%, this role faces very-low transformation. The highest-impact area is estimate material requirements at 45% automation. This is classified as an 'augment' role. BLS projects +2% growth through 2034. The hands-on nature of carpentry makes it highly resistant to AI displacement, though AI-powered design tools are enhancing planning efficiency.

Frequently Asked Questions

With an automation risk score of 5%, Carpenters has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Carpenters is 5% (2025 data). Overall AI exposure is 7%, with 14% theoretical exposure and 3% observed exposure. The risk trend from 2023 to 2025 is +3 points.

The tasks with the highest automation potential for Carpenters are: Estimate material requirements (45%), Read blueprints and specifications (25%), Cut and shape wood materials (8%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +2% employment change for Carpenters from 2024 to 2034. Combined with an overall AI exposure of 7%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Carpenters should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.